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Page 1: EVALUATING TROPICAL FOREST ECOSYSTEMSdigilib.library.usp.ac.fj/gsdl/collect/usplibr1/index/...EVALUATING TROPICAL FOREST ECOSYSTEMS: USING HERPETOFAUNA AND CULTURE TO DETERMINE CONSERVATION
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EVALUATING TROPICAL FOREST ECOSYSTEMS:

USING HERPETOFAUNA AND CULTURE TO

DETERMINE CONSERVATION PRIORITY HABITATS

ON MALAITA ISLAND, SOLOMON ISLANDS

by

Edgar John Maeniuta Pollard

A thesis submitted in fulfilment of the requirements for the degree of Masters in

Environmental Science

Copyright © 2013 by Edgar John Maeniuta Pollard

School of Geography, Earth Science and Environmental Sciences

Faculty of Science, Technology and Environment

The University of the South Pacific

July, 2013

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Declaration

Statement by Author I, Edgar John Maeniuta Pollard, declare that this thesis is my own work and that, to

the best of my knowledge, it contains no material previously published, or

substantially overlapping with material submitted for the award of any other degree

at any institution, except where due acknowledgment is made in the text.

Signature …………………………… Date………………………….

Student ID No. ……………………………………………………….

Statement by Supervisor The research in this thesis was performed under my supervision and to my

knowledge is the sole work of Mr Edgar John Maeniuta Pollard.

Signature…………………………….. Date ………………………..

Name..………………………………………………………………..

Designation ………………………………………………………….

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Acknowledgements Mauriha e hitarana rapena noni. Apu ana noni e hitarana kahu ni mauriha,

susurina noni e hitarana okiraha ana mauriha, manina noni e hitarana mako e

watea mauriha, ihihu ana pau na noni e hitarana ai ma maasu e watea mauriha

This thesis is dedicated to the people of Are’Are, Malaita. For captured within

this work is a glimpse of the richness their lands and people hold. Raemanoha Rikaa.

I would like to thank the stewards, landowners and tribes of the Arata’s (land)

and villages that this study was conducted in, for allowing access onto their land. I

would also like to thank my field guides and assistants – John Mahane, Pauro

Horipeo, Wencis Rohoia, Francis Aniratana Jr and Peter Aitai. For the mountains we

climbed, the rivers we crossed, for being soaking wet in the middle of the forest in

the middle of the night and for the friendship and knowledge shared along the way, I

will be forever thankful. Special thanks also to; Myknee Sirikolo for knowledge

imparted on the identification of plants, Mike McCoy on the identification of reptiles

and Patrick Pikacha on the identification of frogs.

A very big tagio tumas for my supervisors, mentors and advisors – Dr. Gilianne

Brodie, Dr. Clare Morrison and Prof. Randy Thaman, who’s tireless hours and

constructive feedback help shape this entire project from start to finish. A special

thanks to Patrick Pikacha for teaching me hands on skills and knowledge regarding

frogs and bush fieldwork and Marika Tuiwawa who’s advice and encouragement and

wise counsel was valued.

I would also like to thank the University of the South Pacific, for enabling me to

carry out this research and for the support rendered, especially the Departments of

Biology and Geography. This work would also not be possible without the help of

my sponsors, the Solomon Islands government and the USP research office.

Last but not the least I would like to thank my ever supportive family, mum, dad

and wife Patricia who have all stuck by me and supported me through it all.

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Abstract Within the context of the global biodiversity crisis there is a need to identify

conservation priority habitat types. This study aims to identify important forest

habitats for conservation priority setting on the island of Malaita, Solomon Islands.

To achieve this five different forest habitat types were sampled to quantify richness

of biodiversity based on richness and abundance of frogs and lizards (herpetofauna)

as biological indicators. In addition, interviews with local community members were

conducted to gather associated local cultural knowledge on frogs, lizards and forest

habitats. The study focused on unlogged coastal, unlogged lowland and unlogged

upland forests, logged lowland forests and plantation teak forests, with the two latter

having significant human influence resulting in reduced herpetofaunal richness.

Prioritisation methods used to identify important forest habitat types were based on:

1) species richness and abundances, 2) ‘important’ (threatened, totem, rare and

indicator) species presence, 3) cultural importance of the forest habitat and 4) the

threatened status of the forest habitat. It was found that: 1) lowland forests contained

the greatest species richness and the greatest number of important species, 2) lowland

forests also had the highest cultural value based on locally described uses, and 3)

coastal forests were under the greatest threat from anthropogenic activities. The

overall results show the importance of biological sampling being coupled with

cultural knowledge to improve our understanding of forest habitat value for

conservation action.

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Abbreviations � CBD Convention on Biological Diversity

� CBSI Central Bank of Solomon Islands

� CI Conservation International

� CRV Combined Rank Value

� CV Cultural Values

� DQS Diurnal Quadrat Sampling

� FAO Food and Agriculture Organization

� FTV Forest Threat Value

� GDP Gross Domestic Product

� IBA Important Bird Area

� IFA Important Forest Area

� IHA Important Herpetofaunal Area

� IUCN International Union for Conservation of Nature

� ISV Important Species Value

� ITCZ Inter Tropical Convergence Zone

� MDG Millennium Development Goals

� MPA Marine Protected Area

� MoFR Ministry of Forestry and Research (Solomon Islands)

� NVES Nocturnal Visual Encounter Survey

� OJP Ontong Java Plateau

� PHCG Pacific Horizons Consultancy Group

� PNG Papua New Guinea

� SINSO Solomon Islands National Statistics Office

� SPC Secretariat of the Pacific Community

� SPRH South Pacific Regional Herbarium

� SRAV Species Richness and Abundance Value

� SVL Snout Vent Length

� TEK Traditional Ecological Knowledge

� TK Traditional Knowledge

� UNEP United Nations Environment Programme

� WCMC World Conservation Monitoring Centre

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Table of Contents Acknowledgements ................................................................................................... i

Abstract ................................................................................................................... ii

Abbreviations ......................................................................................................... iii

Table of Contents .................................................................................................... iv

List of Tables ........................................................................................................ viii

List of Figures .......................................................................................................... x

CHAPTER 1: INTRODUCTION ............................................................................. 1

1.1 Introduction ............................................................................................... 1

1.2 Rationale and Justification for Study .......................................................... 2

1.3 Objectives/Aims and Hypotheses ............................................................... 4

1.4 Structure and Outline of Thesis .................................................................. 5

CHAPTER 2: BACKGROUND ............................................................................... 6

2.1 Tropical Biodiversity ................................................................................. 6

2.1.1 Importance of tropical biodiversity ........................................................... 6

2.2 Tropical Forest Ecosystems ....................................................................... 7

2.2.1 Status and importance of tropical forests .................................................. 7

2.3 Herpetofauna ............................................................................................. 8

2.3.1 Status and Importance of herpetofauna ..................................................... 8

2.3.2 Indicators of ecosystem health, the use of herpetofauna. ........................... 9

2.4 Threats and Decline of Biodiversity ..........................................................10

2.4.1 Specific threats to tropical forests ............................................................12

2.4.2 Specific threats to tropical herpetofauna ..................................................15

2.5 Conservation of Biodiversity.....................................................................16

2.5.1 What is conservation? .............................................................................16

2.5.2 How do we conserve biological diversity ................................................18

2.5.3 Conservation and traditional ecological knowledge (TEK) ......................21

CHAPTER 3: STUDY LOCATION AND GENERAL METHODOLOGY ............23

3.1 Study location ...........................................................................................23

3.1.1 Solomon Islands ......................................................................................23

3.1.2 Malaita ....................................................................................................25

3.1.3 Are`Are study site ...................................................................................30

3.2 Pilot study and General Methodology .......................................................31

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3.2.1 Pilot Study ..............................................................................................31

3.2.2 Major Fieldwork .....................................................................................33

CHAPTER 4: RICHNESS AND ABUNDANCE OF FROGS, GECKOS AND SKINKS ON MALAITA ........................................................................................37

4.1 Introduction ..............................................................................................37

4.2 Specific Methodology ...............................................................................37

4.3 Results ......................................................................................................39

4.3.1 Summary of results .................................................................................39

4.3.2 Nocturnal herpetofauna ...........................................................................39

4.3.3 Diurnal herpetofauna ...............................................................................49

4.3.4 Additional species ...................................................................................55

4.3.5 Species behaviour and Indicator species ..................................................55

4.4 Discussion of Results ................................................................................56

4.4.1 Indicator Species .....................................................................................56

4.4.2 Herpetofaunal richness comparisons to other studies ...............................57

4.4.3 Herpetofaunal richness comparisons to other Solomon Island islands ......57

4.4.4 Malaitan Herpetofaunal richness compared to McCoy and Pikacha .........60

4.4.5 Evaluation of methods used .....................................................................62

4.5 Summary of herpetofaunal richness and abundance ..................................62

CHAPTER 5: FOREST HABITAT AND HERPETOFAUNAL RICHNESS ..........64

5.1 Introduction ..............................................................................................64

5.2 Specific Methodology ...............................................................................67

5.3 Results ......................................................................................................69

5.3.1 Unlogged Coastal Forest .........................................................................69

5.3.2 Unlogged Lowland Forest .......................................................................70

5.3.3 Unlogged Upland Forest .........................................................................72

5.3.4 Logged Lowland Forest...........................................................................73

5.3.5 Teak Plantation Forest .............................................................................75

5.3.6 Comparison of herpetofauna richness in the different habitat types ..........76

5.3.7 Priority forest habitat based on herpetofauna species richness .................78

5.3.8 Impact of habitat degradation and modification .......................................80

5.4 Discussion ................................................................................................83

5.5 Summary ..................................................................................................86

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CHAPTER 6: TRADITIONAL KNOWLWEDGE OF HERPETOFAUNAL BIODIVERSITY AND FORESTS IN ARE`ARE, MALAITA ...............................87

6.1 Introduction ..............................................................................................87

6.2 Specific Methodology ...............................................................................88

6.3 Results ......................................................................................................89

6.3.1 Herpetofauna...........................................................................................89

6.3.2 Forests .................................................................................................. 101

6.3.3 Informants knowledge of frogs and lizards by age and gender ............... 108

6.4 Discussion .............................................................................................. 109

6.4.1 Traditional knowledge of herpetofauna ................................................. 109

6.4.2 Threatened forest habitats...................................................................... 109

6.4.3 Loss of cultural practises and traditional knowledge .............................. 110

6.4.4 Loss of traditional knowledge in the younger generation ....................... 110

6.5 Summary ..................................................................................................... 111

CHAPTER 7: POTENTIAL PRIORITY HABITATS AND STRATEGIES FOR FOREST BIODIVERSITY CONSERVATION .................................................... 112

7.1 Introduction ............................................................................................ 112

7.2 Methods for Prioritisation ....................................................................... 113

7.3 Results .................................................................................................... 115

7.3.1 “Species richness and abundance value” (SRAV) .................................. 115

7.3.2 “Important species value” (ISV) ............................................................ 116

7.3.3 “Cultural value” (CV) ........................................................................... 116

7.3.4 “Forest threat value” (FTV) ................................................................... 117

7.3.5 “Combined rank value” (CRV).............................................................. 117

7.4 Discussion .............................................................................................. 119

7.4.1 Species richness and abundance ............................................................ 119

7.4.2 Important species .................................................................................. 119

7.4.3 Culture .................................................................................................. 120

7.4.4 Forest threat .......................................................................................... 120

7.4.5 Combined ............................................................................................. 120

7.6 Conclusion .............................................................................................. 121

CHAPTER 8: OVERALL SUMMARY OF RECOMMENDATIONS FOR FUTURE CONSERVATION WORK ON MALAITA ......................................................... 122

8.1 Introduction ............................................................................................ 122

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8.2 Important Recommendations for Future Conservation work on Malaita based on Literature ............................................................................................ 122

8.2.1 The importance of culture ..................................................................... 123

8.2.2 The importance of conservation science ................................................ 123

8.2.3 The importance of policy....................................................................... 124

8.3 Important Recommendations for Conservation work on Malaita based on this Study .......................................................................................................... 124

8.4 Conclusion .............................................................................................. 125

LITERATURE CITED ......................................................................................... 126

Appendix A: Ethnological Questionnaire .............................................................. 136

Appendix B: Species Descriptions with Field Photographs.................................... 145

Frogs ................................................................................................................. 145

Lizards (Geckos) ............................................................................................... 153

Lizards (Skinks) ................................................................................................ 156

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List of Tables Table 2.1 Categories of goods and services provided by biodiversity 6

Table 2.2 Consequences of deforestation 13

Table 2.3 Logging yield, Solomon Islands 14

Table 2.4 Criteria used in the prioritisation of biodiversity conservation 18

Table 2.5 Percentage Terrestrial and Marine Protected Areas Cover 20

Table 3.1 Comparison of population density among Solomon Island

Provinces

27

Table 3.2 Soils of Malaita 29

Table 3.3 Total no. of transects and quadrats carried out and in each

habitat

34

Table 4.1 Summary of nocturnal results 39

Table 4.2 Summary of diurnal results 50

Table 4.3 A comparison of species behaviour and habitat preferences of

the 21 herpetofaunal species encountered during sampling

55

Table 4.4 A selection of global tropical herpetofaunal studies similar to

the current study

58

Table 4.5 A comparison of the recorded richness of frogs, geckos and

skinks of the 6 major islands of the Solomon Islands

archipelago

60

Table 4.6 Species lists according to McCoy (2006) and Pikacha et al.

(2008) vs species actually observed in this study

61

Table 5.1 The 8 Major categories of forests found in the Solomon Islands 65

Table 5.2 Descriptions based on personal observations of the five habitat

types used in this research study

68

Table 5.3 The dominant species of plants from the four floral groups

found in unlogged coastal forests

69

Table 5.4 The dominant species of plants from the four floral groups

found in unlogged lowland forests

71

Table 5.5 The dominant species of plants from the four floral groups

found in unlogged upland forests

72

Table 5.6 The dominant species of plants from the four floral groups

found in logged lowland forests

74

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Table 5.7 The dominant species of plants from the four floral groups

found in teak plantation forests

75

Table 5.8 Difference in average encounter rates and species presence in

logged lowland forest compared with unlogged lowland forests

82

Table 5.9 Difference in average encounter rates and species presence in

teak plantation forest compared with unlogged lowland forests

83

Table 6.1 Vernacular and likely scientific nomenclature of frogs based on

questionnaire surveys

90

Table 6.2 Summarised associated uses of different frog species as

described by informants

95

Table 6.3 Vernacular and likely scientific nomenclature of lizards based

on questionnaire surveys

97

Table 6.4 Summarised associated uses of different lizard species as

described by informants

100

Table 6.5 Coastal forest uses, changes and perceived impact on

herpetofauna

102

Table 6.6 Lowland forest uses, changes and perceived impact on

herpetofauna

103

Table 6.7 Upland forest uses, changes and perceived impact on

herpetofauna

104

Table 6.8 Logged forest uses, changes and perceived impact on

herpetofauna

105

Table 6.9 Plantation forest uses, changes and perceived impact on

herpetofauna

106

Table 6.10 Forest threat values calculated from uses described by

informants

107

Table 7.1 Summary of four categories for conservation prioritisation used

in this study with descriptions

113

Table 7.2 Species richness and abundance values 115

Table 7.3 Important species values 116

Table 7.4 Cultural values 117

Table 7.5 Forest threat values 117

Table 7.6 Combined ranked values 118

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List of Figures Figure 1.1 Examples of (a) a frog and (b) a lizard 4

Figure 3.1 Map of the Solomon Islands archipelago 24

Figure 3.2 The island of Malaita and surrounding islands. 25

Figure 3.3 a) 13 Lingual groupings of Malaita. b) 30 Political wards of

Malaita

26

Figure 3.4 Malaita Island with central peaks and rivers 27

Figure 3.5 The Solomon Islands archipelago in relation to the Ontong Java

Plateau and Greater Bukida Island

29

Figure 3.6 The age and gender demographics of the Tai ward 30

Figure 3.7 Transect distance-species curve constructed using data from

pilot study

32

Figure 3.8 Quadrat area-species curve constructed using data from pilot

study

33

Figure 4.1 Batrachylodes vertebralis nocturnal (transect) mean encounter

rate for each habitat type

41

Figure 4.2 Bufo marinus nocturnal (transect) mean encounter rate for each

habitat type

42

Figure 4.3 Ceratobatrachus guentheri nocturnal (transect) mean encounter

rate for each habitat type

43

Figure 4.4 Discodeles guppyi nocturnal (transect) mean encounter rate for

each habitat type

44

Figure 4.5 Platymantis guppyi nocturnal (transect) mean encounter rate for

each habitat type

45

Figure 4.6 Platymantis solomonis nocturnal (transect) mean encounter rate

for each habitat type

45

Figure 4.7 Platymantis weberi nocturnal (transect) mean encounter rate for

each habitat type

46

Figure 4.8 Cyrtodactylus salomonensis nocturnal (transect) mean

encounter rate for each habitat type

48

Figure 4.9 Nactus multicarinatus nocturnal (transect) mean encounter rate

for each habitat type

49

Figure 4.10 Emoia cyanogaster diurnal (quadrat) mean encounter rate for 51

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each habitat type

Figure 4.11 Emoia pseudocyanura diurnal (quadrat) mean encounter rate

for each habitat type

52

Figure 4.12 Sphenomorphus concinnatus diurnal (quadrat) mean encounter

rate for each habitat type

54

Figure 5.1 Encounter rates of herpetofaunal species found in coastal forest 70

Figure 5.2 Encounter rates of herpetofaunal species found in lowland

forest

71

Figure 5.3 Encounter rates of herpetofaunal species found in upland forest 73

Figure 5.4 Encounter rates of herpetofaunal species found in logged forest 74

Figure 5.5 Encounter rates of herpetofaunal species found in teak forest 76

Figure 5.6 Comparison of average herpetofauna species richness in the

different habitat types based on nocturnal surveys (transects)

77

Figure 5.7 Comparison of average herpetofauna species richness in the

different habitat types based on diurnal surveys (quadrats)

78

Figure 5.8 Comparison of total combined nocturnal and diurnal

herpetofaunal species richness

79

Figure 5.9 Average abundances per transect/quadrat

(nocturnal/transects=blue and diurnal/quadrats=red)

80

Figure 5.10 A comparison of total herpetofauna species richness in

unlogged lowland, logged lowland and teak plantation forests

81

Figure 6.1 Graph of informant’s age and gender against average number of

frogs and lizards described

108

Figure 7.1 Graphic representation of priority habitat types based on Table

7.6

118

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CHAPTER 1: INTRODUCTION

1.1 Introduction During the Earth Summit in Rio in 1992, the United Nations Convention on

Biological Diversity (CBD) (UN 1992a) was ratified by 168 nations, including the

Solomon Islands and several other Pacific countries (CBD 2012). Sections a) and b)

of Article 8 in the CDB (UN 1992a) state that contracting parties shall a) “establish a

system of protected areas… to conserve biological diversity” and b) “develop

guidelines… for the selection, establishment and management of protected areas”.

The Solomon Islands signed and ratified the CBD in 1995 but is yet to establish a

recognised protected areas system. As signatories to this global agreement, there is

an urgent need to establish protected areas in the Solomon Islands to conserve its

unique biological diversity.

Biological diversity refers to the diversity of life, which ranges in scale from

molecules to ecosystems, encompassing genes, species and taxa, populations and

communities (UN 1992b, Margules et al. 2002, Spray and McGlothlin 2003). Also

included are the interactions and ecosystem processes within and between these

entities such as nutrient and energy cycling, predation, competition, mutation,

adaptation and migration (UN 1992b, Margules et al. 2002, Spray and McGlothlin

2003). Thaman (pers. comm.) also stresses that this diversity includes human

diversity and “ethnobiodiversity”, which is defined as “the knowledge, uses, beliefs,

management systems, language and taxonomy that a given human society or group

has for their biodiversity”.

Tropical forests are not only important as the richest habitat for terrestrial

biological diversity but also represent natural capital or renewable wealth for the

people of the Pacific (Montagnini and Jordan 2005, Pauku 2009). Forests have

provided and continue to provide many goods and ecosystem services, including

goods such as, timber, fuel, medicine, insecticides, rubber, resins, ornamental plants,

oils, waxes, tannin, canes, bamboos, fibre, fruit, spices and honey. Ecosystem

services provided by forests including shade, shelter, habitat for diverse biota,

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watershed preservation, erosion control, soil fertility, nutrient cycling, climate

regulation, pollution reduction and carbon sequestration, as well as providing the

basis for activities such as ecotourism (Khan 2001, Montagnini and Jordan 2005,

Pauku 2009).

Dinerstein and Wikramanayake (1993) and Fa et al. (2004) both identified the

Solomon Islands forest eco-region as a global biological diversity hotspot due to its

high species richness and endemism. However, large-scale, unregulated and illegal

logging operations have seriously threatened forest biodiversity, resulting in an

ecological and cultural disaster reducing the subsistence ability of the people and

their standard of living (Crocombe 2001, McCoy 2006, PHCG 2008, Pikacha 2008).

The rate of this logging harvest is unsustainable and environmentally degrading, with

predictions that commercially viable forest stocks of the Solomon Islands will be

exhausted by 2015 (PHCG 2008).

In a perfect world, all biodiversity should be conserved. There are, however,

many competing demands on natural resources as well as limited financial, technical,

physical, institutional and human resources available for conservation. Therefore to

achieve success, efforts need to be focused, prioritized and strategic (Singh et al.

2000, Spector 2002, Allison 2003, Lindenmayer et al. 2007, Wilson et al. 2009).

1.2 Rationale and Justification for Study The Secretariat of the Pacific Community (SPC) identified eleven priority

research and development themes for Pacific Island forests that included; germplasm,

food security, reforestation, climate change, traditional knowledge,

environmental services, invasive species, forest market products, community

agroforestry, endangered species and sustainable forest management (SPC

2009). The current study will relate primarily to the themes highlighted in bold and

the following information will explain and highlight the need and rationale for this

biodiversity research on the island of Malaita, in the Solomon Islands.

In the process of prioritising areas for conservation, there is a need for quality

baseline data on biodiversity as a basis for informed decision making (Gascon et al.

2004). In this context, biodiversity assessments are required before selecting areas

for protection to increase the chances of successful conservation interventions

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(Lindenmayer and Franklin 2002, Allison 2003). Information on patterns of

diversity, distribution, endemism, rarity and endangerment provide important

information to help in the formation of conservation priorities and plans (Allison

2003, Gascon et al. 2004). In addition, due to the complexity of biodiversity,

surrogates are required, and these can be subsets of species, species assemblages or

habitat types such as “vertebrates” or “vegetation” (Margules and Pressey 2000,

Margules et al. 2002, Allison 2003).

Unfortunately, to date such baseline biodiversity information is not available for

much of the Solomon Islands, there are only rough estimates concerning the diversity

and richness of most taxa (Morrison et al. 2007). Of particular importance is

information on species richness, species interactions and ecological process and

patterns (Purvis and Hector 2000).

On the island of Malaita, there are currently no officially recognised protected

areas and little biological research has been carried out. The work that has been

undertaken is mostly in the form of species inventories (McCoy 2006, Pikacha et al.

2008). Filardi et al. (2007) proposed the “Central Malaitan Highlands” and

“Maramasike- Are’Are of Malaita” as Birdlife International, Important Bird Areas

(IBAs), however these areas still have no official protection. Thus the current project

will be the first of its type on the island of Malaita and will in addition to biological

surveys also try to analyse relationships between forest areas, species richness and

inter-related cultural values.

Within this context the use of frogs and lizards (herpetofauna) as surrogates is

seen as having great potential for conservation prioritisation (Lewandowski et al.

2010). This is due to their susceptibility and fragility, particularly in the case of

amphibians, in the face of habitat modification (Pough et al. 1998, Wells 2007).

Additionally, these faunal groups are abundant in forests and are generally easy to

identify (Pough et al. 1998, Wells 2007). The Solomon Islands is home to 86

currently described species of reptiles (McCoy 2006) and 21 species of frogs

(Pikacha et al. 2008). These numbers are, however, incomplete and new species are

being found and made known to science through both natural and genetic discovery

(Brown 2012).

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Globally, many studies looking at herpetofaunal diversity and habitat types have

selected and compared forest fragments with continuous forests (Bell and Donnelly

2006, Hillers et al. 2008) and compared fragments among themselves (Bickford et al.

2010). Other studies compared different secondary, primary and plantation forest

habitats (Ernst et al. 2006, Gardner et al. 2007, Herrera-Montes and Brokaw 2010) or

have compared herpetofaunal diversity between disturbed and undisturbed sites

(Pineda and Halffter 2004, Garner et al. 2008). These studies have helped lay the

foundation for this research study, as similar methods will be used.

To date most of the data and studies on habitat modification, fragmentation and

herpetofauna in the tropics are currently based on Amazonian experiments (Bell and

Donnelly 2006). However a need for similar comparative research in the Pacific

Islands is recognized (Kingsford et al. 2009), to address the lack of Pacific Island

case studies, because of the seriousness of threats to biodiversity in the region.

1.3 Objectives/Aims and Hypotheses The overall aim of this study is to identify priority forest habitats for conservation

on the island of Malaita using a combination of biological and ethnological data. It

will use selected herpetofauna groups: frogs, lizards (Figure 1.1a-b) – as surrogates

for overall habitat health and conservation value.

Figure 1.1a-b Examples of (a) a frog (Ceratobatrachus guentheri) and (b)

a lizard (Corucia zebrata) © Edgar Pollard

a b

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The specific objectives of this current research study are therefore as follows;

1. To survey different forest habitats on Malaita to determine the abundance,

richness and local conservation status of native frogs and lizards

(herpetofauna).

2. To define relationships between herpetofaunal incidence, forest habitat

type and degree of habitat degradation.

3. To carry out community-based ethnobiological surveys to examine local

perceptions, knowledge and cultural uses of herpetofauna and including

perceptions of the conservation status of forests and associated

herpetofauna.

4. To identify potential priority forest habitats and strategies for forest

biodiversity conservation based on the results of objectives 1, 2 and 3.

1.4 Structure and Outline of Thesis The structure of this thesis follows the objectives described above and is divided

into eight chapters. Chapter 1 describes the context of the research problem including

a brief background, objectives of the study and the research rationale. Chapter 2

focuses on reviewing. Chapter 3 focuses on the general research methodology

including a description of the study area, field techniques and a summary of the pilot

study. Chapter 4 presents the results of the herpetofauna field surveys on Malaita and

addresses the first objective – determining the abundance, richness and conservation

status of herpetofauna. Chapter 5 addresses the second objective – the relationships

between herpetofaunal incidence, forest habitat type and degree of habitat

degradation. Chapter 6 focuses on the third objective – obtaining the local

perceptions, knowledge and cultural uses of herpetofauna plus community

perceptions of the conservation status of forests and associated herpetofauna. The

seventh chapter addresses the final objective and identifies and discusses the

conservation priority forest habitats on Malaita. The final chapter discusses the

implications of the overall results of this research study for forest conservation on

Malaita and provides recommendations for future research and resource

management.

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CHAPTER 2: BACKGROUND

2.1 Tropical Biodiversity

2.1.1 Importance of tropical biodiversity Biodiversity is the ‘biological wealth’ of the Planet; it provides many beneficial

goods and services which can be grouped into four categories (provisioning, cultural,

regulating and supporting) (Table 2.1). These services are essential to human

livelihoods and therefore link people with the environment (Khan 2001, Spray and

McGlothlin 2003, Pauku and Lapo 2009, Kareiva and Marvier 2011). Provision of

these beneficial goods and services on our planet is dependent on the overall health

of this biodiversity, which is formally defined as the diversity of genes, species,

populations and ecosystems (UN 1992b). This biodiversity also affects a

community’s ability to recover after disturbances, environmental change and will be

especially important for adaptation for survival during long-term global climate

change (Kareiva and Marvier 2011).

Table 2.1 Categories of goods and services provided by biodiversity,

collated from Khan (2001), Spray and McGlothlin (2003), Pauku and Lapo

(2009) and Kareiva and Marvier (2011)

Categories Goods and Services Provided

Provisioning Food, water, fuel, medicines, materials, shelter and

shade

Cultural Aesthetic, spiritual, recreational and educational

services

Regulating Climate and weather, flood and disease/pest regulation,

erosion control and the filtration and purification of

water and wastes

Supporting Nutrient cycling, soil formation, oxygen production,

carbon sequestration, primary productivity and the

maintenance of gases and ecosystem function

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2.2 Tropical Forest Ecosystems

2.2.1 Status and importance of tropical forests Forests are defined as “land spanning more than 0.5 hectares with trees higher

than 5 meters and a canopy cover of more than 10 percent” (FAO 2010). Tropical

forests fall between the 30° north and south latitudes and are characterised by warm

humid conditions year round (Moran 2006). These tropical forests cover around 6-

8% of the earth’s surface but are believed to hold over 50% of the earth’s

biodiversity (Moran 2006) with somewhere between 10-50 million species

(Dauvergne 2001). Of the 25 global biodiversity hotspots identified by Myers et al.

(2000), 17 contain tropical forests which clearly indicates the importance that this

habitat type plays in global biodiversity.

Tropical forests as components of biodiversity provide four main functions; (1)

productive (timber, fibre, fuel wood and non-timber products), (2) environmental

(climate regulation, carbon sequestration and storage, biodiversity reserve and soil

and water conservation), (3) social (recreation and subsistence for local populations

and cultures) and (4) aesthetic, scientific and spiritual values (Bennet 2000,

Montagnini and Jordan 2005, Lindenmayer 2009, Pauku 2009).

Most of the world’s tropical forests are located in South America, Asia and

Africa, the Oceania region holds a very small proportion, however this portion is

very unique in its diversity and isolation that has led to a very high level of narrow

distribution-ranged, endemic species (Smith et al. 2007, Woinarski 2010). Tropical

forests with their trees and genetic resources are also recognised as the base of

cultural, economic and ecologically sustainable development within the Pacific

Islands (SPC 2009). For example, the forestry sector in the Solomon Islands employs

around 3% of the labour force which earns roughly US$ 57 million per year, which is

approximately 17% of the country’s GDP (FAO 2010). The forests of the Solomon’s

are also estimated to hold around 182 million tonnes of carbon stock in the living

forest biomass at an average of 82 tonnes per hectare, this is significant for global

carbon cycles and storage (FAO 2011).

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2.3 Herpetofauna

2.3.1 Status and Importance of herpetofauna The word herpetology is based on the Greek word herpes, meaning creepy thing

(Pough et al. 1998). Herpetofauna (amphibians and reptiles) are ectotherms, they

also share common lineage and have therefore been placed under the study of

herpetology (Pough et al. 1998). There are currently 7104 described species of

amphibians and 9766 described species of reptiles globally (AmphibiaWeb 2013,

Uetz 2013). Of these the number listed under some form of threat by the IUCN Red-

List is 3324 with 635 critically endangered (IUCN 2012) However, still 2196 species

remain under the data deficient category. Herpetofauna are found on all major land

masses of the world (including most oceanic islands) except for the continent of

Antarctica and the island of Greenland (Uetz 2013). The majority of herpetofaunal

species are forest dwellers as forests provide a rich array of microhabitats (Heyer et

al. 1994, Khan 2001).

Amphibians and reptiles both play an important role in the energy flow and

nutrient cycling of ecosystems (Pough et al. 1998). As ectotherms they require little

energy for body maintenance and therefore act as reserves of energy (Cloudsley-

Thompson 1999). Also due to their ectothermy, the proportion of energy consumed

that is used to generate new tissue is high at close to 50% (Heyer et al. 1994). This is

around 25 times greater than birds and mammals, indicating the importance that

herpetofauna play in overall forest biomass (Pough et al. 1998).

Since amphibians and reptiles play important roles in ecosystems it is important

to understand the impacts of land-use practices on these animals (Bell and Donnelly

2006). One clear example of this linkage on islands is the plant-lizard interactions

that have co-evolved to produce unique interactions such as the mutualistic flower-

visiting and fruit-consuming species of lizard (Olesen 2003).

Additionally the skin permeability in amphibians is an evolved adaption that

enables gas and water exchange through the skin, this however adds to the sensitivity

of amphibians to environmental changes especially in the water and air (Pough et al.

1998, Wells 2007).

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2.3.2 Indicators of ecosystem health, the use of herpetofauna. We cannot survey everything everywhere. To address questions regarding the

health and integrity of ecological landscapes a particular species or taxa is selected to

act as a surrogate for the whole ecological community and the ecosystem, these are

called ecological indicators (Hilty and Merenlender 2000). Such indicators have

parameters, such as density, absence/presence, and infant survivorship that can be

used to indicate ecosystem conditions (Hilty and Merenlender 2000).

To help select suitable indicators for this study the following sampling

considerations as outlined by Feinsinger (2001) were used.

i. Objective sampling – the indicator should be able to be effectively and

objectively sampled through direct observation with limited biases.

ii. Efficient sampling – the indicator should be able to be efficiently sampled

producing good data quickly without too much need for setup.

iii. Sample size – the indicator should be able to provide a large number of

replications.

iv. Sampling expense – the indicator should involve minimised costs in

equipment and procedure.

v. Familiarity – the natural history and taxonomy of the indicator should be well

known.

vi. Scale – the scale at which the indicator operates should be the same as the

scale of the ecological conservation concern, e.g. species and habitats.

vii. Sensitivity – the indicator should be sensitive to factors related to the

ecological conservation concern.

viii. Aptness as a surrogate – the indicator should respond consistently to

environmental change over time.

ix. Consistency – the indicator should be equally accessible and active at all

times when sampling occurs.

x. General interest – the indicator should also respond to factors that concern

local communities.

Herpetofauna, the taxa involved in this study meet all the above categories

relatively well. In addition, herpetofauna (especially amphibians) are also often cited

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as an ideal indicator group for ecological studies, because of their sensitivity to

changes in moisture and temperature regimes, two-part life cycle, diversity in

reproductive methods and weak dispersal abilities (Pineda and Halffter 2004, Smith

and Rissler 2010). Amphibians are abundant and functionally important in many

ecosystems around the world and most are easily identified and are of global

conservation concern because of their well-documented, widespread decline (Bennett

1999, Stuart et al. 2004, Smith and Rissler 2010).

To further support the use of herpetofauna, a review of surrogate studies by

Lewandowski et al. (2010) showed herpetofauna to be the most effective surrogate

taxa, in comparison to arthropods, birds, fungi, mammals, plants, molluscs and all

vertebrates. An example is the leaf litter frogs of West Africa that showed strong

negative response to minor degradation of their habitat (Hillers et al. 2008). Estrada

et al. (2010) also found that no taxon is a good “umbrella group” (representation

group for other taxa) but that reptiles were the most appropriate as their results match

most closely with other vertebrate taxa. Hilty & Merenlender (2000) further

suggested that multiple indicator taxa be used as single taxa cannot accurately reflect

system health. Allison (2003) also found that species richness patterns for different

taxonomic groups show little overlap, emphasizing the importance of surveying all

taxa if possible. Therefore, biological indicators are not the answer to everything but

are a useful way of surveying biodiversity, and the combination of amphibians and

reptiles together is among the most useful (Lewandowski et al. 2010).

2.4 Threats and Decline of Biodiversity We are in the midst of our planet’s sixth mass extinction event (Gascon et al.

2004, Kingsford et al. 2009), biodiversity loss is 1000 to 10000 times the expected

background extinction rate (Khan 2001). This sixth event is considered a crisis

because for the first time such a mass extinction is anthropogenicly driven (Brodie et

al. 2013). A high rate of species extinctions can change the dynamics of ecosystems

by altering: energy flows, the composition and structure of plant and animal

communities, behaviour in organisms and cause an overall disruption of ecological

and environmental processes (Kareiva and Marvier 2011, Tuomainen and Candolin

2011). The loss of even a few important “keystone species” can cause a trophic

cascade and the structural collapse of entire ecosystems (Hairston et al. 1960).

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Direct causes of this huge global biodiversity loss include destruction of natural

habitats via activities such as agriculture, deforestation, mining, urbanization, over-

fishing, intensive agriculture, invasive species, environmental and industrial

pollution (Khan 2001, Spray and McGlothlin 2003, Kareiva and Marvier 2011). Plus

a lack of regulation with poor government policies that are inconsistent and disregard

the value of biodiversity (Khan 2001, Spray and McGlothlin 2003, Kareiva and

Marvier 2011). Less direct or cryptic underlying causes of biodiversity loss also

include: international trade, globalisation, shifting cultural attitudes, lack of

knowledge of sustainable resource use, a lack of economic valuing for biodiversity,

the use of inappropriate technology and increased economic growth (Khan 2001,

Spray and McGlothlin 2003, Kareiva and Marvier 2011). Most of these latter causes

are creating an increasing and unsustainable demand for natural resources and energy

(Wilson and Peter 1988).

Globally, exponential population growth has increased the pressure placed on

natural biological resources, poverty leads to encroachment on marginal lands and

protected areas and the unsustainable harvesting of resources such as mangrove

wetlands (Kareiva and Marvier 2011, Brodie et al. 2013). In addition, the

introduction of exotic species (which in many cases has led to the extinction of

native species) and an increasing discovery for uses of biodiversity has put further

pressure on previously non-targeted organisms in both the terrestrial and marine

environments (Wilson and Peter 1988, Khan 2001, Spray and McGlothlin 2003).

Tropical ecosystems are also threatened by human-induced changes in

biogeochemical cycles of carbon, nitrogen, phosphorus and also global climate

change with its associated increases in temperatures, sea-level rise and altered

weather patterns (Gascon et al. 2004, Pauku 2009, Becker et al. 2010). Kingsford et

al. (2009) described the six major causes of biodiversity decline in the Oceania

region as habitat loss and degradation, invasive species and disease, climate change,

overexploitation and pollution all of which are further exacerbated by a lack of

political capacity. As in many other countries of the region, the biodiversity of the

Solomon islands is threatened, mainly by intensive logging, inappropriate land use

practises in agriculture and mining and over-exploitation of natural resources, all of

which are exacerbated by natural disasters, climate change, pollution, invasive

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species and population increase (PHCG 2008, Pauku and Lapo 2009). Highly

threatened ecosystems in the Solomon’s include mangrove forests, wetlands and

coastal forests as these are habitats that interact more frequently with people and

have highly sought after resources (Pauku 2009).

2.4.1 Specific threats to tropical forests Tropical forests are one of the most essential ecosystems on the planet but are

also considered one of the most threatened (Pineda and Halffter 2004, Hillers et al.

2008). Tropical forests are particularly vulnerable, firstly because they keep most of

their nutrients in living organisms and therefore rely on the work of decomposers to

recycle nutrients (Moran 2006). Secondly tropical forest flora and fauna tend to have

smaller populations and ranges and are therefore more susceptible to environmental

changes (Moran 2006, Woinarski 2010). Thirdly tropical forests play an important

role in weather and climatic processes especially through the action of evapo-

transpiration, so if more forests are lost then rainfall will diminish in many areas

(Schwartzman et al. 2000, Moran 2006, FAO 2011). Degradation of tropical forests

therefore threatens the existence of many birds, reptiles and mammals especially

significant keystone species that play vital roles in ecosystems, such as dispersal of

forest seeds (Pineda and Halffter 2004, Pauku 2009). Forest degradation will also

impact on the resilience ability of forests to recover from disturbances and

degradation (Pauku 2009, Woinarski 2010).

A major process that degrades forests is deforestation otherwise known as

logging (Lindenmayer 2009). Deforestation is the “removal of forest and the

subsequent conversion of land to other uses” (Moran 2006). Logging activity has

many consequences (Table 2.2) and usually results in an extremely fragmented forest

landscape especially through the construction of logging roads deep into natural

forest areas (Moran 2006, Dutson 2011). Forest fragmentation is when forests are

cleared in an unsystematic, unplanned way and this leads to a totally changed forest

community structure which leads to the eventual loss of certain species and the

introduction of invasive species (Hill and Curran 2001, Moran 2006, Filgueiras et al.

2011, Brodie et al. 2013). Fragmentation also creates edge habitats in forests and

these areas are more exposed than natural forests and are thus unsuitable habitats for

many native species (Hill and Curran 2001, Pineda and Halffter 2004, Moran 2006).

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Table 2.2 Consequences of deforestation (Dauvergne 2001, Khan 2001,

Gascon et al. 2004, Morrison et al. 2007, FAO 2011)

Consequences of Deforestation

On biota � loss of habitat for wildlife

� species extinctions

On ecosystems � reduced ecosystem productivity

On the

atmosphere

� release of carbon dioxide into the atmosphere

On the soil

� loss of topsoil and a decline in soil fertility

� decreased microbial activity

� increased landslides

� severe wind and water erosion

On the water

� siltation of waterways and reefs

� disruption to local hydrological cycles

� lower stream flow,

� lowered water table,

� lower water quality

� more widespread and frequent flooding

Timber utilization or logging is the most lucrative and common form for usage of

forest resources in the world and is also recognized as one of the main threats to

vertebrate diversity globally (Moran 2006). The forestry industry in the Solomon

Islands is a major player in the export revenue sector bringing in around 70% of total

export revenue in 2008 (MoFR 2009). Of the 598,000 hectares of harvestable forest

in the Solomon’s 288,000 hectares has already been logged with remaining stocks

estimated to be depleted by 2015 (PHCG 2008). Annual estimated sustainable yield

from natural forests since 1994 is displayed in Table 2.3. In relation to actual yield, it

clearly shows volumes almost five times the sustainable level.

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Table 2.3 Solomon Islands logging yield. Adapted from Dauvergne

(2001), PHCG (2008) and CBSI (2010)

Year Estimated sustainable yield

(m³) (Dauvergne 2001 and

PHCG 2008)

Actual yield (m³)

(Dauvergne 2001 and

CBSI 2010)

1994 276 000 826 000

1998 223 000 650 000

2007 320 000 1 444 003

2008 320 000 1 523 000

2009 320 000 1 064 445

2010 320 000 1 428 211

An indirect effect of deforestation is the expansion and creation of degraded

forests, secondary forests and exotic species plantation forests referred to as

monocultures (Gardner et al. 2007, Herrera-Montes and Brokaw 2010). Plantation

forests are forests predominantly composed of trees established through planting

and/or deliberate seeding and may be composed of native or introduced species

which are established usually for timber production (FAO 2010). A similar threat is

the extensive conversion of lowland forests into oil-palm plantations as seen on the

islands of Guadalcanal, New Ireland and proposed also on Malaita (Dutson 2011).

Contributing factors that also threaten the nature of tropical forests in Oceania

(similar to causes threatening biodiversity as a whole described earlier) include

increasing population numbers, poverty, commercial exploitation, corrupt

governance, breakdown of cultural values, pressure to get cash from resources and a

lack of economic incentives to conserve biodiversity (Moran 2006, Pauku 2009,

Woinarski 2010). The State of the Environment report for the Solomon’s (PHCG

2008) stated that the forests and soils of the Solomon’s are “running out”, they are

losing the ability to sustain people and also to sustain themselves.

Overall, the future for the “tropical forests of Oceania is bleak” mainly due to a

host of factors including direct exploitation and modification of natural ecosystems

(Woinarski 2010). The Oceania region (including Australia and New Zealand) holds

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an estimated 191 million hectares of forested areas and this has decreased slowly

over the past 20 years (FAO 2011). The Solomon Islands holds therefore some of the

last remaining untouched forests of the tropical world but the islands are under

increasing threat to large scale degradation and habitat loss at alarming rates (PHCG

2008, Pikacha 2008). This has great effects on the local biodiversity as complex

ecosystems are broken and the biota that depends on these forests begin to disappear

(Pikacha 2008).

2.4.2 Specific threats to tropical herpetofauna Of all vertebrates, the amphibians have the highest proportion of species

threatened with extinction and are facing a significant global decline (Blaustein and

Kiesecker 2002, Stuart et al. 2004, Cushman 2006, Gardner et al. 2007, Garner et al.

2008, Bombi 2009). Amphibians are particularly sensitive to habitat degradation and

fragmentation and these factors are viewed as major contributors to the global

amphibian decline (Pineda and Halffter 2004, Ernst et al. 2006, Hillers et al. 2008).

Amphibians are exceptionally vulnerable to habitat degradation compared to other

terrestrial vertebrates because of their relatively low tolerance to environmental

extremes and pollution, high susceptibility to pathogens, specific breeding-habitat

requirements, and competition and predation from invasive species (Pough et al.

1998, Cushman 2006, Bickford et al. 2010). Reptiles are also facing a similar fate

but is not as well documented (Bombi 2009).

Habitat degradation is the biggest threat to herpetofauna especially in the tropics

where more than 80% of all amphibians and reptiles are found (Pough et al. 1998).

The opening of the tree canopy through selective logging results in microclimate

alterations which place constraints on certain frog species (Hillers et al. 2008). Also

the degradation of forests creates changes in canopy structure, leaf-litter environment

and loss of microhabitats, all necessary for healthy herpetofaunal populations

(Gardner et al. 2007).

Invasive alien species also pose a great threat to native amphibians as they

modify habitats, affect reproductive success and directly impact amphibian species

through predation and competition (Christy et al. 2007, Martin and Murray 2011).

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Illegal exporting of herpetofauna by collectors supplying the North American and

European pet trades are also threatening the long-term survival of the many more

charismatic species in the Solomon’s such as the lizards Corucia zebrata, Varinus

indicus and the Candoia snakes (McCoy 2006). The trade in reptiles and amphibians

caught in the wild is mostly unregulated with only a limited number of species being

monitored on CITES (Schlaepfer et al. 2005). However, even the figures show that

there is a significant amount of species being traded (Schlaepfer et al. 2005) with the

potential to contribute to global herpetofaunal declines.

Global warming is also believed to be contributing to the decline in amphibians

and lizards (Wake 2007). Climate change may also have severe impacts on

amphibians, as temperature and moisture, two important variables that define their

distribution are also two components that will be directly impacted by forecasted

global climate change (Wells 2007). Such changes will in particularly impact those

restricted range species that are adapted to cooler, wetter conditions on mountain

tops and ridges (Pikacha et al. 2008).

In addition, the perceptions of humans towards some species are also a potential

threat for herpetofauna (Pough et al. 1998). In New Caledonia for example children

are warned not to kill lizards as they may be killing their own ancestors, whereas in

some parts of Iran lizards are killed because they are believed to carry the devil’s

soul (Pough et al. 1998).

2.5 Conservation of Biodiversity

2.5.1 What is conservation? Understanding that our biodiversity is threatened creates a need for conservation

actions. A goal of biodiversity conservation is to maintain variety of life, all that is

known and unknown, measured and unmeasured, the variety of life on earth

(Margules et al. 2002). The three main objectives of the Convention on Biological

Diversity (CBD) (UN 1992a) are: (1) the conservation of biological diversity, (2) the

sustainable use of its components and the fair and (3) equitable sharing of the

benefits arising out of the utilization of genetic resources.

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“Protection of biodiversity” as a goal is too general and naive and needs to be

placed in context, focused and specific (Kati et al. 2004). Conservation targets can

take the form of habitats, communities, species, ecological processes and services but

a conservation plan should be focused on a “subset”. A “subset” can be a single

species, a subset of species or by focusing on the threat status of a species (Kati et al.

2004). As discussed by Kati et al. (2004) different types of species used in

conservation are: keystone (linked to many other species), umbrella (covers other

species), flagship (charismatic or culturally important species), indicator (reflects the

health of the environment or the effectiveness of conservation interventions) and

focal species (those sensitive to dominant threats). However, Kareiva and Marvier

(2011) found that recommendations from studies based on single particular taxa

generally failed to provide protection for other taxa. It is therefore important to

consider the conservation of functional traits (eg. pollinating insects or carnivorous

birds) and diversity among forest species may serve community populations better,

in the form of ecosystem functioning and community robustness, than just the

focusing of conservation efforts on specific species (Ernst et al. 2006).

Three global strategies (that are not mutually exclusive) for conservation have to

date been utilized. One is the “hotspot” approach favoured by Conservation

International (CI) that focuses on areas with the most “threatened and distinctive”

biota (Olson and Dinerstein 1998, Myers et al. 2000). Myers et al. (2000) has

defined 25 global hotspots based on species endemism and degree of threat, these

hotspots are thought to contain 44% and 35% of all plant and vertebrate diversity

respectively. Biodiversity hotspots are areas with a large number of species or large

number of threatened, rare and/or endemic species (Kati et al. 2004) and the

conservation of these hotspots is described as a ‘silver bullet’ strategy in cost-

effectiveness for biodiversity conservation. The second is the representative eco-

region approach that focuses on conserving sites in major ecosystems and habitat

types (Gascon et al. 2004). Thirdly, Kati et al. (2004) identified the complementary

network (where conservation areas complement one another through-out a network

of protected areas) and richness hotspot approaches combined as the best possible

approaches for conserving the entire biological diversity of an area.

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2.5.2 How do we conserve biological diversity

2.5.2.1 Conservation priorities An important challenge facing tropical biodiversity conservation is determining

methods for prioritisation and then to implement effective conservation in these

identified priority areas (Becker et al. 2010). Priority setting in conservation

identifies “where, how, on what, and when” we should act first, knowing well that

we cannot do everything, everywhere at once (Wilson et al. 2009). The purpose of

priority setting is to limit and minimize the current loss of biodiversity and to

“effectively and efficiently” achieve at least some preservation of biodiversity within

the limited resources and funds available (Margules et al. 2002, Wilson et al. 2009).

Prioritisation of biodiversity conservation is dependent on many criteria (Table

2.4) (Lewandowski et al. 2010). The current research study will try to incorporate as

many of these criteria as possible in its decision-making.

Table 2.4 Criteria used in the prioritisation of biodiversity conservation

collated from Ratcliffe (1977), Sanderson et al. (2002), Fa et al. (2004) and

Hill et al. (2005)

Species Level Criteria Site Level Criteria

� species abundance, richness and

diversity

� rarity and endemicity

� evolutionary uniqueness and

diversity of phenotypic traits

� protection status

� role in the ecosystem and species

involved in multi-species

interactions (e.g. keystone

species)

� size

� naturalness and the intrinsic

appeal of an area

� representativeness or typicalness

� fragility of a site

� land use change and human

influence

� sites with recorded histories,

� potential monetary value,

� importance in geographical or

ecological processes

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According to Wilson et al. (2009), in conservation prioritisation certain variables

need to be identified, we need to know; what the assets are? (e.g. details of

biodiversity such as frog species richness) What the threats are? (e.g. logging and

invasive species) What possible actions can be taken? (e.g. protected areas) How

much those actions will cost? (e.g. human and financial resources) The current

research will attempt to capture as many of these influencing variables as possible.

However, based on the work of Kareiva and Marvier (2011) an additional question

that needs to be answered is: should “limited conservation funds be spent on saving

near-extinct species or should it be invested into the prevention of more abundant

species becoming rare”? Also based on the work of Brooks et al. (2006) another

question is: should “environmental services which are also threatened be

incorporated into conservation planning”? (services such as carbon sequestration,

climate stabilization, maintenance of water quality, minimization of pest and disease

outbreaks).

2.5.2.2 Conservation types Conservation actions can be separated into two types: ex situ and in situ. Ex situ

conservation means “the conservation of components of biological diversity outside

their natural habitats” (UN 1992a). This helps conserve wild and domesticated

biodiversity through “aquaria, botanical gardens, herbaria, seed banks, cloned

collections, microbial collections, field gene banks, forest nurseries, tissue and cell

cultures, zoological gardens and museums” (Khan 2001).

In situ conservation means “the conservation of ecosystems and natural habitats

and the maintenance and recovery of viable populations of species in their natural

surroundings and in the case of domesticated or cultivated species, in the

surroundings where they have developed distinctive properties” (UN 1992a). This

includes the “legal protection of endangered species, preparation or implementation

of species habitat recovery or management plans and the establishment of protected

areas to conserve either individual species and/or habitats” (Khan 2001). According

to Khan (2001) both in situ and ex situ actions will need to go hand in hand to

achieve successful conservation of biodiversity.

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Protected areas are currently considered one of the most effective methods for in

situ species conservation (Brooks et al. 2004, Bombi 2009). The Food and

Agriculture Organization (FAO 2010) defined protected areas as “areas dedicated to

the protection and maintenance of biological diversity, natural and associated cultural

resources and managed through legal or other effective means”. Protected areas are

also defined by the CBD as “a geographically defined area which is designated or

regulated and managed to achieve specific conservation objectives” (UN 1992a).

Protected areas are considered as an effective means of protecting ecosystems and

species in the tropics (Bruner et al. 2001). This occurs on land mainly by preventing

land clearance, and should continue to be an important part of long-term terrestrial

biodiversity conservation (Bruner et al. 2001). Both terrestrial and marine protected

areas (MPA)s not only protect the biological diversity but can also help maintain

long-term, sustainable industries such as fisheries, timber harvesting and ecotourism

(Kareiva and Marvier 2011).

The IUCN and UNEP-WCMC (2011) created a world database of nationally

designated and known protected areas of all countries showing that globally nearly

13% of the planet’s area is under some form of protection. Goal 7 of the Millennium

Development Goals (MDG)(developed by the United Nations) is to ensure

environmental sustainability and with that recommendations for national protected

area cover by 2020 (UN 2011). A summary of global, regional and the national

figures for recognised protected areas show the Solomon Islands to be highly

unlikely to achieve the MDG targets for protected area systems (Table 2.4).

Table 2.5 Percentage Terrestrial and Marine Protected Areas Cover and

MDG recommendations collated from IUCN and UNEP-WCMC (2011)

Level Percentage (%) of

terrestrial area under

some form of protection

Percentage (%) of

marine area under some

form of protection

MDG targets by 2020 17 10

Global 12.7 7.2

Oceania region 4.9 2.8

Solomon Islands 0.09 0.12

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2.5.3 Conservation and traditional ecological knowledge (TEK)

2.5.3.1 How has TEK been used in conservation Huntington (2000) defines traditional ecological knowledge (TEK) as “the

knowledge and insights acquired through extensive observation of an area or

species” which is usually shared orally. For thousands of years indigenous peoples

have used TEK to survive, build and maintain their unique cultures (Bennet 2000,

Thaman et al. 2010, FAO 2011). TEK is the basis for people’s livelihoods and

maintains the cultural, economic and traditional practises (Bennet 2000, Thaman et

al. 2010, FAO 2011).

Some of the richest areas of biodiversity globally are controlled by local

indigenous people (Painemilla et al. 2010), as in the Pacific region where a vast

majority of land and natural resources are traditionally owned (Brodie et al. 2013).

Indigenous people use customary laws and traditional practices that have kept their

rich resources intact (Painemilla et al. 2010). These traditional practises, skills and

wisdom have been used by local villagers to help them adapt to change (Lauer and

Aswani 2010, Painemilla et al. 2010), and can still offer useful guidelines for many

communities in the Pacific for biodiversity protection and conservation management

(Huntington 2000, Berkes 2004, Painemilla et al. 2010).

It is known that governments and natural resource managers still have a lot to

learn from indigenous communities (Painemilla et al. 2010, Woinarski 2010). Cinner

& Aswani (2007) recommend that ‘hybrid institutions’ be formed from the merging

of customary management systems and contemporary conservation initiatives. These

‘hybrid institutions’ would use traditional ecological knowledge and also scientific

knowledge to conserve and further improve respect for traditions and local

acceptance of conservation values (Cinner and Aswani 2007).

2.5.3.2 How have the Pacific people practiced conservation The Pacific people hold traditional beliefs and practised a close relationship with

the environment; concepts such as species recovery, conservation and sustainability

are not new and may even inadequately define such relationships (Read 2002,

Bayliss-Smith et al. 2003). Forests, the focus of this research have a sacredness and

ancestral significance that are an integral part of Melanesian culture and the respect

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and appeasement to the spirits and the forest is of an utmost importance (Bennet

2000). This is a stark contrast to the degradation that Melanesian forests are facing

today.

Early traditional conservation methods revolved around restriction of access to

resources by time, place or from certain people (Bennet 2000, Crocombe 2001). In

the Solomon’s basic customary conservation practices are in the form of: a) sacred

sites, that restrict access to certain areas for certain members of the community, b)

social prohibitions which is the restriction on certain species by certain groups which

could also be limited to certain times of the year and c) sequential prohibitions which

rotate areas limiting certain groups to harvesting some resources in the form of

temporary closures (Caillaud et al. 2004). However, many of these practices are

breaking down and being lost (Thaman 2002).

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CHAPTER 3: STUDY LOCATION AND GENERAL

METHODOLOGY

3.1 Study location

3.1.1 Solomon Islands The Solomon Islands, the third largest archipelago in the South Pacific, is located

between 6-12ºS and 155-168ºE and composed of a double chain of approximately

one thousand islands (Figure 3.1) extending over 1450 km in a south-eastern

direction (Mueller-Dombois and Fosberg 1998). The political Solomon Islands

(made up of 10 provinces; Choiseul, Western, Isabel, Central, Guadalcanal, Malaita,

Makira, Temotu, Rennell & Bellona and Honiara City) consist of the Solomon’s

archipelago minus Bougainville the largest geological island which is politically part

of Papua New Guinea (PNG). As a nation state the Solomon Islands is located 1,800

km north east of Australia and around 5,800 km south west of the Hawaiian Islands.

Most of the Solomon’s islands are of a volcanic origin as the archipelago is situated

along the “Pacific ring of fire”, in the subduction zone between the Pacific and Indo-

Australian plates (PHCG 2008). Many of the larger islands are still very much

geologically active (Pikacha et al. 2008, PHCG 2008). Though the total land area of

the Solomon’s is around 28,785 km² (Mueller-Dombois and Fosberg 1998) the

country has rich marine resources and a total marine area of around 1.3 million km²

(Gough et al. 2010).

The Solomon Islands are regarded as one of the wettest places in the tropics with

the climate described as tropical maritime (Whitmore 1969). Air temperature (coastal

ranges from 25º to 32ºC) is relatively uniform all year round with major climate

seasonality due to wind direction and rainfall (Mueller-Dombois and Fosberg 1998).

Annual rainfall is in the range of 3000 to 5000 mm at sea level stations but in wind

exposed higher altitudes, 7000 mm to 9000 mm can be expected per annum

(Mueller-Dombois and Fosberg 1998, Pauku 2009). Due to the proximity of the

islands to the equator, solar radiation reaching the islands is high and relatively

uniform all year round. Also the effect of the “Inter Tropical Convergence Zone”

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(ITCZ) is strongly felt especially during November to February, in the form of

“monsoon-like” weather patterns (Ross 1973).

Figure 3.1 Map of the Solomon Islands archipelago including provinces.

Tropical cyclones are a factor periodically affecting the Solomon Islands, with

storm events creating wind-fall gaps in the forests (Whitmore 1969, Mueller-

Dombois and Fosberg 1998). It is believed that many organisms of these islands have

adapted to cyclone disturbed and modified habitats (Ross 1973, Filardi et al. 2007),

and that cyclones help maintain species diversity and composition within and

between forest types (Burslem 1999).

Most islands are covered in dense tropical forest with the majority of flora of

Malesian (southeast Asia) affinity (Mueller-Dombois and Fosberg 1998). The source

of biota dispersal is believed to flow through New Guinea from southeast Asia into

the west, therefore islands with closest proximity to the mainland source area in the

west (Western Is. and Choiseul) have greater diversity and species richness than

islands further eastward (Malaita and Makira) (McCoy 2006, Hamilton et al. 2009).

Whitmore (1969) believed the vegetation of the Solomon Islands to be an incomplete

subset due to incomplete migration of biota from Malesia and possibly also due to

the comparatively young volcanic age of some islands.

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The Solomon Islands has claims of possessing greater terrestrial biodiversity than

any other Pacific island nation except PNG (PHCG 2008). The Solomon Islands

rainforest eco-region is included in the world’s “Global 200” (a list of ecoregions

identified by WWF as priorities for conservation WWF 2012) and categorised as

“globally outstanding.” In terms of species richness and uniqueness, the Solomon

Islands host more “restricted range” and recorded endemic birds than any area in the

world, and also has the largest skink in the world, the largest insect-eating bat and

some of the largest native rats (Pauku and Lapo 2009). The overall richness of the

Solomon Islands is not only in its natural biodiversity but also in its cultural diversity

with over 70 surviving indigenous languages and many more dialects (PHCG 2008).

3.1.2 Malaita

3.1.2.1 Malaita Province The province of Malaita

approximately 80 km east of Honiara

(Figure 3.1) is made up of the main

Malaitan Island and the southern

adjacent island, Sa’a, which is

separated from the main island by a

narrow passage plus other much smaller

surrounding islands (Figure 3.2).

Malaita has a high population density

and is home to roughly a third of the

total Solomon Islands population (Table

3.1). Since most Malaitan’s still depend

on subsistence agriculture the high

population has impacted the natural

forest vegetation in many areas in

addition to the timber industries (Filardi

et al. 2007). The province is culturally divided into 13 lingual groupings (Figure

3.3a) and also politically divided into 30 wards (Figure 3.3b).

Figure 3.2 The island of Malaita

and surrounding islands.

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Figure 3.3a-b a) 13 Lingual groupings of Malaita. b) 30 Political wards of

Malaita

3.1.2.2 Malaita Island The island of Malaita lies in a northwest to southeast direction and measures

around 190 km in length. The centre of the large main island is located at 9° S and

161° E (Polhemus et al. 2008). Its width ranges from 10-40 km in the widest parts

with a total land area of approximately 4200 km² (Moore 2007). It is the third largest

and fourth highest island in the Solomon Islands, with a central mountain range that

includes a number of peaks reaching over 1000 m (Figure 3.4). The highest peak,

Mount Kolovrat (Alasa’a) has an elevation of 1433 m.a.s.l. (Filardi et al. 2007,

Polhemus et al. 2008). Dominant landforms include “steep, narrow ridges, fluvial

plains, karst mountains, valleys, swamps and coastal landforms” (Moore 2007,

PHCG 2008). Geologically this rugged topography is relatively young with much

“folding, thrusting and deformation” and many crystal clear fast-flowing streams,

which account for the relative absence of long coastal estuaries on Malaita (Petterson

et al. 1999, PHCG 2008, Polhemus et al. 2008). Lagoons are also a common feature

of the island with the lagoons of the Lau (renowned for its artificial islands), Langa

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Langa (renowned for its shell

money making people) and

Are’Are (known for its

expansive mangrove forests)

constituting some of the most

widely known features of

Malaita province

internationally. There are also

extensive coastal swampy areas

indicating past existence as

lagoons (Moore 2007).

Table 3.1 Comparison of population density among Solomon Island

Provinces (adapted from Law 2011 and SINSO 2011) .

Province Total land area

(km²)

Total population

(2009) (SINSO

2011)

Population density

(persons/ km²)

Choiseul 3,837 26,372 6.9

Western 5,475 76,649 14.0

Isabel 4,136 26,158 6.3

Central 615 26,051 42.4

Rennell-Bellona 671 3,041 4.5

Guadalcanal 5,336 93,613 17.5

Malaita 4,225 137,596 32.6 Makira-Ulawa 3,188 40,419 12.7

Temotu 895 21,362 23.9

Honiara 22 64,609 2936.8

Total 28,400 515,870 18.2

Figure 3.4 Malaita Island with

central peaks and rivers

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As on others oceanic islands, the sea plays a tempering effect on the climate of

Malaita island, with daily temperature ranges from 25°C to 32°C and high levels of

wetness and humidity. In common with many islands in the Pacific is the diurnal

weather pattern of “clear sunny mornings and afternoon showers” (Ross 1973, Pauku

2009) and a “windward-leeward effect”, with the western coast of Malaita receiving

an annual average rainfall of 3750 mm whereas the eastern mountains in the direct

path of the prevailing south easterly’s receive more than 7500 mm/year (Moore

2007).

Malaita Island is the highest point on the Ontong Java Plateau (OJP) (Figure 3.5)

originating from volcanic activity around 125-121 Ma (Miura et al. 2004, Polhemus

et al. 2008). This volcanic intrusive core with pelagic sedimentary overlaying gives

the geology of Malaita a unique dual volcanic and sedimentary base (Ross 1973,

Petterson et al. 1997). The OJP is world’s largest oceanic plateau covering an area of

approximately 1600 km x 800 km with an average crustal thickness of 33 km (Miura

et al. 2004). According to Petterson et al. (1997) the OJP situated on the Pacific plate

collided with the Indo-Australian plate along the Solomon Islands arc subduction

zone around 25-20 Ma. Due to the large mass of the OJP a subduction flip occurred

whereby the Pacific plate ceased total subduction and the India-Australian plate

began subduction under the Pacific Plate (Petterson et al. 1997, Ishikawa et al.

2004). Due to stress and folding of the subsequent crusts Malaita emerged above sea-

level at about 5-2 Ma (Petterson et al. 1997, Ishikawa et al. 2004) and this relatively

recent emergence has implications in regard to the arrival of biota to the island

(Polhemus et al. 2008).

During the Pleistocene glacial episodes (the last being around 12,000 years ago)

where sea-levels dropped to around 120 m below present a ‘Greater Bukida’ island

(Figure 3.5) was formed joining the islands from Bougainville in the north right

down through Choiseul and Isabel down to the Florida group in the central Solomon

Islands and possibly including Guadalcanal. The islands of Malaita and Makira were

never part of this ‘Bukida’ island indicating that direct contact with a greater species

pool was limited and that greater endemism may have occurred on these two islands

compared to other islands in the archipelago, due to their relative isolation (Jameson

and Ratcliffe 2009).

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Figure 3.5 The Solomon Islands archipelago in relation to the Ontong

Java Plateau and Greater Bukida Island

The soil type of Malaita consists of strongly to slightly moderate weathered

leached soils with low base status, organic and decomposed peat (PHCG 2008). Soil

type and soil use relationships are important to the people of Malaita, as described by

Ross (1973) for the people of northern Malaita (Baegu) who have simplistically

identified four soil types: sandy, inland, dry black/brown and red (Table 3.2).

Table 3.2 Soil types of Malaita, adapted from Ross (1973)

Soil Type Comment

“Sandy soil” found on the coasts and useful for coconuts and yams

“Inland soils” of wet black/brown sediments which are too heavy and not well drained and is therefore used only for some Taro

“Dry Black/brown”

is well drained and is best used for gardens, supporting rich variety of agricultural crops

“Red soil” does not absorb water well and forms a hard crust and is commonly used as a location for settlements and hamlets due to its firmness

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3.1.3 Are`Are study site The Are`Are lingual group in the south of Malaita Island has the largest land area

on the island (Figure 3.3a). The Tai ward (Figure 3.3b) found in the Are`Are lingual

group area was where the fieldwork for this research was focused. Tai ward was

selected because with a relatively low population density, the native vegetation has

remained relatively intact until the commencement of logging operations in the area

in 2002 which then caused subsequent heavy degradation throughout the region

(pers. obs.). There are still however fragments of pristine forest remaining, especially

further inland and at higher altitudes that house the most pristine representations of

Malaita’s native flora and fauna.

The age and gender demographics of the Tai ward based on the 2009 census

(SINSO 2011) are shown in Figure 3.6. The ward shows a young population with

52.9% of the

population below the

age of 20, which is

typical for most of the

Solomon’s. There is a

significant change in

population between

the ages of 15-24,

which is probably

accountable to

temporary migration

due to education or

work. For example, in

the Tai ward, there are

only four schools that

cater for students up to

form three level and

students wishing to continue must therefore leave the area. There is also very low

numbers of older citizens with only 5.8% of persons over the age of 60. These are

usually the persons with greater in-depth traditional knowledge and their low

numbers indicate the potential threatened nature of this knowledge.

-10 -5 0 5 10

0-45-9

10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-84

85+

%

Age

clas

s

Female

Male

Figure 3.6 The age and gender demographics of

the Tai ward based on the 2009 census (SINSO

2011)

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3.2 Pilot study and General Methodology This research study has included: a pilot study reconnaissance survey followed by

major field surveys comprised of formal transect and quadrat sampling and

questionnaire surveys to gather local indigenous knowledge.

3.2.1 Pilot Study A pilot or reconnaissance study was conducted in the month of August 2011 to

principally pre-test and identify any problems with the already designed field

methodology as well as determine optimal quantities, locations and exact

methodologies for quadrats and transects.

3.2.1.1 Transects Nocturnal Visual Encounter Survey (NVES) transects were carried out in each of

four selected forest habitat types: unlogged lowland forest, unlogged upland forest,

teak plantation forest and logged forest (during the pilot stage unlogged coastal forest

was yet to be included). Two 600 m transects were surveyed in each habitat type,

recording cumulative herpetofaunal species abundance and richness at the 300m,

400m, 500m and 600m marks along each transect. The collected combined data for

all habitat types show the cumulative mean number of species observed at each

distance mark (Figure 3.7). This graph was then used to determine the optimum

length for transects. Only 43% (2.00) of species were encountered within the first

300 m. Seventy-three per cent (3.12) of species were encountered within the first 400

m and 94% (4.00) of species were encountered within the first 500 m. Speed along a

transect depended on terrain, undercover vegetation thickness and herpetofaunal

abundance (as more species led to more time taken to record results). The average

speed per 100m was 20min. This led to the decision to select 500 m as the optimum

transect length in terms of time efficiency and species encounter rates, so that two

transects could be completed each evening.

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Figure 3.7 Distance-species curve constructed using data from pilot

study. Data from all habitat types were combined (2 transect replicates x

4 habitat types).

3.2.1.2 Quadrats Diurnal quadrat sampling (DQS) was carried out in each of the four habitat types:

unlogged lowland forest, unlogged upland forest, teak plantation forest and logged

forest (during the pilot stage unlogged coastal forest was yet to be included). Four

different sized quadrats were carried out in each habitat type, recording

herpetofaunal species abundance and richness at the 4 m², 6 m², 8 m² and 10 m² area

scales. The combined data for all habitat types generated a line graph representing

the cumulative mean of species observed for each quadrat type to determine

optimum quadrat area (Figure 3.8). At 4 m² a mean of 0.75 species were observed, at

6 m² a mean of 1.25 species were observed, at 8 m² a mean of 2.13 species were

observed and at 10 m² a mean of 2.63 species were observed. The time taken to

sample a 10x10m quadrat was 1 person/hour (2 persons x 30 min) enabling 3

quadrats to be completed per morning within the optimum time for herpetofaunal

activity which was 9am to 12pm (Heyer et al. 1994). So with the aim to observe

maximum species diversity within the optimum time and area, 10 m² was used in the

actual sampling.

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

300 350 400 450 500 550 600

Cum

ulat

ive

mea

n of

her

peto

faun

al

spec

ies o

bser

ved

Distance travelled along transect (m)

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Figure 3.8 Area-species curve constructed using data from pilot study.

Data from all habitat types were combined (4 quadrat replicates x 4 habitat

types).

3.2.2 Major Fieldwork The research methods for measuring variables and obtaining data follow standard

methods for amphibian studies outlined in Heyer et al. (1994) and were also adapted

from a study by Gardner et al. (2001). This current research undertook a non-

manipulative experimental design of passive observation to discern the relationship

between herpetofauna richness and forest habitat type.

D’Cruze & Kumar (2011) recommended that when dealing with herpetofauna a

variety of sampling methods should be used to provide a greater comprehensive

evaluation. Frogs belonging to the order Anura will be sampled and lizards belonging

to the family Gekkonidae (geckos) and family Scincidae (skinks). Frogs and geckos

are predominantly nocturnally active animals and most skinks are diurnally active,

therefore the two different sampling methods used were Nocturnal Visual Encounter

Surveys (NVES) for frogs and geckos and Diurnal Quadrat Sampling (DQS) for

skinks following Heyer et al. (1994) and Gardner et al. (2007). The herpetofauna

observed were identified to species level using Frogs of the Solomon Islands

(Pikacha et al. 2008) for frogs and Reptiles of the Solomon Islands (McCoy 2006) for

geckos and skinks.

0

0.5

1

1.5

2

2.5

3

3.5

4 5 6 7 8 9 10

Cum

ulat

ive

mea

n of

her

peto

faun

al

spec

ies o

bser

ved

Size of quadrat (m²)

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Three field trips were conducted over an 8 month period (September, January and

April) to take into account the effects of seasonality on species abundance. In each

field trip each of the 5 selected habitat types was surveyed with 6 transects and 9

quadrats amounting to a total of 90 transects (3 trips x 5 habitats x 6 transects) and

135 quadrats (3 trips x 5 habitats x 9 quadrats). However due to limited availability

of teak, coastal and upland forests fewer transects and quadrats were carried out in

these habitat types (Table 3.3). It is important to note that these five forest habitat

types are mutually exclusive.

Table 3.3 Total no. of transects and quadrats carried out in each

forest habitat type.

Habitat type Transects (NVES) Quadrats (DQS)

Feasible Desired Feasible Desired

Unlogged coastal forest 12 18 18 27

Unlogged lowland forest 24 18 36 27

Logged lowland forest 16 18 24 27

Unlogged upland forest 18 18 27 27

Teak plantation forest 10 18 15 27

Total 80 90 120 135

3.2.2.1 Transects (NVES) Transects can effectively track “species diversity, abundances and density”, this

is a useful method for sampling along gradients and also within and across habitat

types along a straight line with a fixed length and direction (Bennett 1999). Also at

night frogs are more mobile and can be encountered at higher rates using torches

(Hill et al. 2005). Nocturnal geckos are best found by night time torchlight searching

as some species give off “eye-shine” and many are paralysed by the torch beam to

make capture easier (Heyer et al. 1994).

Visual Encounter Surveys helps to determine species richness of an area, species

assemblage of the area and relative abundances upon a certain time period expressed

in person-hours (Bennett 1999). Four basic assumptions of the VES are; i) every

individual of every species has the same chance of being observed during a survey,

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ii) each species is likely to be observed during each sampling session, iii) an

individual is recorded only once in each survey, iv) results from two or more

observers surveying the same area simultaneously are identical (Bennett 1999).

These basic assumptions were accepted and applied in this study.

In the NVES, a 500 m x 6 m belt transect was placed in each habitat type.

Sampling began around sunset at 1830 hrs and covered 2 line transects of the same

habitat type per evening at a fixed effort of 2 man hours per transect (2 persons x 1

hour). All transects were located at least 100 m from the forest edge. Transects

within the same forest habitat types were separated by a minimum distance of 200 m

and separated by a minimum of 500 m for transects between different forest habitat

types. This was done to minimize the problems of edge effects and pseudo-

replication as discussed in Heyer et al. (1994).

3.2.2.2 Quadrats (DQS) Quadrat sampling involved the random placement of quadrats within a habitat to

thoroughly search visually and by hand for herpetofauna. Quadrats can record

species presence and absence, abundances and densities (Bennett 1999). This method

is usually used for sampling in leaf litter and on stream sides where species densities

can be high. Skinks are primarily diurnal but some species are also active during the

night and therefore many skinks are found in and amongst leaf litter (Heyer et al.

1994). Assumptions of the technique were that all animals are equally available to

the observer to be observed and that observers should not be changed as this may add

a bias. According to Bennett (1999) strengths of this technique are “hands on

experience, the observation of cryptic species and juveniles” and this is a good

efficient technique for sampling multiple species in “heterogeneous habitats”.

For the DQS, surveys were timed to coincide with the temperature window

occurring between 0900hrs and 1100hrs where reptiles are likely to bask in the sun

(Hill et al. 2005). 10 m² randomly placed quadrats were used during 0900 hrs and

1100hrs covering 3 quadrats at a fixed effort of 1 person-hour per quadrat (2 persons

x 0.5 hours). Randomization for the placement of the quadrats is carried out using the

‘randomized walk’ method where the observer uses pre-determined compass

directions and distances for the placement of the quadrats (Heyer et al. 1994). So

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beginning at a random location a randomized walk of a set distance and direction

will lead to the placement of the north corner of the quadrat.

All quadrats were located at least 100 m from the habitat type edge to avoid edge

effects that may be unrepresentative of a given habitat. Quadrats within the same

forest habitat types were separated by a minimum distance of 50m and separated by a

minimum of 500 m from quadrats between different forest habitat types.

3.2.2.3 Ethnological Questionnaires Documenting patterns of human use and local knowledge of biodiversity is an

important aspect of any conservation research project and rich species specific data

can be collected through systematic surveying of local community members (Heyer

et al. 1994). Therefore, questionnaire surveys were designed and carried out to

record the perceptions and knowledge that local people have of herpetofauna and

forest habitats. Villages within the Tai political ward were selected for questionnaire

surveys, with villages located adjacent to surveyed forests. A total of 30

questionnaires were administered which included 10 questionnaires to persons over

the age of 60, 10 between the ages of 30 and 60 and 10 to person under the age of 30,

with a gender ratio of 15 females and 15 males. The open ended questionnaire used

can be found in Appendix 1.

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CHAPTER 4: RICHNESS AND ABUNDANCE OF FROGS,

GECKOS AND SKINKS ON MALAITA

4.1 Introduction Although ecologically important, the herpetofauna of Malaita, specifically the

frogs geckos and skinks have been poorly studied. This probably results from the

lack of funding for such research, limited human-resource capacity and a decreasing

amount of natural habitat essential for such biodiversity studies. However, McCoy

(2006) and Pikacha et al. (2008) have produced useful field guides with species lists

for Malaita. Pikacha et al. (2008) describes eight species of frogs for Malaita

although more recent genetic work by Pikacha (unpub. data) may result in the

identification of additional single island endemic frog species. McCoy (2006)

describes six species of geckos and 14 species of skinks for Malaita island, although

as in the case of P. Pikacha, R. Fisher (unpub. data) also suggests new genetic

species. This study will test and build on these species lists by describing local

abundances and identifying possible species additions. None of the species

encountered are currently classified as endemic to Malaita. All species except the

introduced B. marinus are regional endemics. All species encountered are classified

by IUCN as Least Concern, except two that are Near Threatened.

This chapter addresses objective 1: To survey forest habitats on Malaita to

determine the abundance, richness and local conservation status of frogs, skinks and

geckos. The results will begin with a summary of total herpetofaunal richness and

abundance encountered during the surveys followed by individual species analysis.

Field photographs (in situ) and species that were found during this study are provided

in Appendix B.

4.2 Specific Methodology Species were observed and recorded using the standard techniques for

herpetofauna sampling described in Chapter 3. Night-time sampling (transects)

targeted the nocturnally active herpetofauna (all frogs, geckos and 1 skink – Corucia

zebrata) and the day-time sampling (quadrats) targeted the diurnally active

herpetofauna (all skinks except for C. zebrata). For each individual animal

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encountered the following details were recorded: species name, specific habitat and

microhabitat, whether vocalizing or not (in the case of frogs) and if collected or not.

Following on Bennett (1999) collected animals were placed in sealed bags for closer

inspection or photography. In situ species identifications were then later confirmed

using identification keys and species descriptions in McCoy (2006) and Pikacha et

al. (2008). Once identified all collected specimens were then released at the site of

capture on the following morning.

Encounter rates of different species were compared among habitat types using

Kruskal Wallis tests. Significant results were those with P < 0.05 (critical value H ≥

9.49, df = 4), if results were found to be significant then a bar graph was produced to

display this. Species commonality is simply defined as rare, (<4 total encounters),

uncommon (4-16 total encounters), common (17-64 total encounters) and very

common (>64 total encounters), number cut offs were determined using an

exponential gradient multiplied by 4.

Of the species that were not rare, species were split into generalist (encountered

in greater than two habitats) or specialist (encountered in only 1 or 2 habitats)

behaviour based on the number of habitats they were encountered in. A species

preferred forest habitat type is based on the habitat type with the highest mean

abundance for that particular species regardless of whether it displays generalist or

specialist behaviour.

From the specialist species that exhibited forest habitat preferences, it is possible

to deduce possible indicator species for forest health. Indicator species of forest

health will be defined in this study as 1) showing high population abundances in

relatively undisturbed areas, 2) showing low population abundances in areas of

habitat degradation and 3) cannot be naturally rare so that they are difficult to

encounter.

Species richness and abundance were chosen metrics for the study mainly

because of simplicity both for data collection and data analysis. Richness provides

information that is both easy to understand and data that provides direct information

on the diversity of an area. Abundance also provides information on the relative

“health” of populations for communities and individual species.

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4.3 Results

4.3.1 Summary of results A total of 21 herpetofaunal species were encountered during both nocturnal and

diurnal sampling: 8 frogs, 3 geckos and 10 skinks (Appendix B). For each species

commonality based on encounter rates and microhabitat preference based on

observations in the field will be listed followed by a short description with

supporting statistical tests and figures.

4.3.2 Nocturnal herpetofauna A comparison of the results for nocturnal herpetofaunal commonality (encounter

rate), micro-habitat preference, and total encounters show the introduced species

Bufo marinus to be dominant (Table 4.1). The IUCN Red-list status (IUCN 2012)

and endemic status (McCoy 2006, Pikacha et al. 2008) of each species is also listed

in Table 4.1.

Table 4.1 Summary of nocturnal results. Commonality = rare, (<4 total

encounters), uncommon (4-16 total encounters), common (17-64 total

encounters) and very common (>64 total encounters). SI = Solomon Islands.

Endemic status taken from McCoy (2006) and Pikacha et al. (2008) and Red-

list status taken from IUCN (2012)

Species

Endemic status

IUC

N R

ed-list status

Com

monality on

Malaita

Observed m

icro-habitat preference

Total sum of

encountered individuals

Frogs Batrachylodes vertebralis

S.I. national endemic

Least Concern

Very common

1-2 above ground on epiphytes, ferns and tree trunks

210

Bufo marinus Introduced(invasive) species

Least Concern

Very common

On the ground, along tracks and still-water bodies

326

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Ceratobatra-chus guentheri

S.I. national endemic

Least Concern

Very common

On or under leaf litter

86

Discodeles guppyi

S.I. national endemic

Least Concern

Very common

On rocks beside moving waterways

111

Platymantis guppyi

S.I. national endemic

Least Concern

Very common

Arboreal, 2-10m above the ground on broad-leafed shrubs, trees and palms

73

Platymantis solomonis

S.I. national endemic

Least Concern

Common On the ground, in caves and holes

21

Platymantis weberi

S.I. national endemic

Least Concern

Very common

On the ground, in holes and dead logs

104

Rana kreffti S.I. national endemic

Least Concern

Common On the ground, close to still waters

51

Geckos

Cyrtodactyl-us

salomonensis

S.I. national endemic

Near Threatened

Uncommon Large trees 14

G. oceanica Regional endemic

Least Concern

Uncommon Tree trunks, Pandanus spp.

14

Nactus multicarina-tus

Regional endemic

Least Concern

Common Tree trunks, tree hollows

64

Skinks

Corucia zebrata

S.I. national endemic

Near Threatened

Rare Tree trunks with dense epiphytes

3

Batrachylodes vertebralis Boulenger, 1887 Based on the total sum of encountered individuals (210) in all habitat types

Batrachylodes vertebralis (Appendix B) is classed as very common on Malaita

Island (Table 4.1). Observed microhabitat preference especially for vocalising males

is between 1-2 m above ground on tree trunks, epiphytes (eg. Asplenium nidus),

ferns, the tree fern (Cyathea vittata) and occasionally found on the ground.

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There is a significant difference between habitat types with more B. vertebralis

found in upland forest (145) than any other habitat type (KW test transects H =

13.75, df = 4, P < 0.05, Figure 4.1).

Figure 4.1 Batrachylodes vertebralis nocturnal (transect) mean encounter

rate for each habitat type, Error Bars: 95% Confidence Interval.

Bufo marinus Linnaeus, 1758 Based on the total sum of encountered individuals (326) in all habitat types Bufo

marinus (Appendix B) is classed as very common and had the greatest sum of

encounter of all species (Table 4.1). Observed microhabitat preference is on the

ground especially in cleared or semi-cleared areas such as along bush tracks and

aggregations have been observed around still water bodies. This species seems to

favour drier conditions and areas of high anthropogenic activity.

There were significant differences in encounter rates between habitat types, with

significantly less B. marinus found in upland forest, especially compared to logged

and teak forests but there were no differences in frog abundance between the other

four habitats (KW test transects H = 27.00, df = 4, P < 0.05, Figure 4.2).

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Figure 4.2 Bufo marinus nocturnal (transect) mean encounter rate for

each habitat type, Error Bars: 95% Confidence Interval.

Ceratobatrachus guentheri Boulenger, 1887 Based on the total sum of encountered individuals (86) in all habitat types

Ceratobatrachus guentheri (Appendix B) is classed as very common (Table 4.1).

Observed microhabitat preference is on or under dead leaves with high preference for

areas of thick leaf litter. Bamboo (Nastus obtusus) groves provide safe areas for eggs

and juveniles.

There was a significant difference in the encounter rates of C. guentheri in the

different habitats (KW test transects H = 38.15, df = 4, P < 0.05). Individuals were

most common in the upland forest habitats followed by lowland and logged habitats.

No individuals were found in the coastal and teak plantations (Figure 4.3).

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Figure 4.3 Ceratobatrachus guentheri nocturnal (transect) mean

encounter rate for each habitat type, Error Bars: 95% Confidence Interval.

Discodeles guppyi Boulenger, 1884 Based on the total sum of encountered specimens (111) in all habitat types

Discodeles guppyi (Appendix B) is classed as very common (Table 4.1). Observed

microhabitat preference is on rocks besides streams especially waterfalls and on the

ground in riparian forest but not far from waterways.

Almost all D. guppyi were encountered in lowland forest (110) habitats more

than any other habitat (KW test transects H = 25.93, df = 4, P < 0.05, Figure 4.4). No

individuals were found in teak, upland or coastal habitats.

Platymantis guppyi Boulenger, 1887 Based on the total sum of encountered specimens (73) in all habitat types

Platymantis guppyi (Appendix B) is classed as very common (Table 4.1). Observed

microhabitat preference is between 2-10 m above the ground on broad-leafed trees,

shrubs (Elatostema sp., Alpinia oceanica and Cominsia guppyi), ferns, palms and the

epiphyte Asplenium nidus.

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There was a significant difference between the encounter rates of P. guppyi in

lowland, upland and logged forests with teak forests, (KW test transects H = 14.76,

df = 4, P < 0.05, Figure 4.5). Platymantis guppyi individuals were most commonly

found in the lowland (38) and upland (21) forest habitats followed by logged and

coastal forest habitats. No individuals were found in the teak plantations.

Figure 4.4 Discodeles guppyi nocturnal (transect) mean encounter rate

for each habitat type, Error Bars: 95% Confidence Interval.

Platymantis solomonis Boulenger, 1887 Based on the total sum of encountered specimens (21) in all habitat types

Platymantis solomonis (Appendix B) species is classed as common (Table 4.1).

Observed microhabitat preference is on the ground, in caves, holes and under ledges.

There was a significant difference in the encounter rates of P. solomonis in

lowland and upland forests compared to other forests, however no significant

difference existed between lowland and upland forests (KW test transects H = 13.58,

df = 4, P < 0.05, Figure 4.6). Platymantis solomonis individuals were found in the

lowland (15) and upland (6) forest habitats. No individuals were found in the logged,

coastal or teak plantation forests.

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Figure 4.5 Platymantis guppyi nocturnal (transect) mean encounter rate

for each habitat type, Error Bars: 95% Confidence Interval.

Figure 4.6 Platymantis solomonis nocturnal (transect) mean encounter

rate for each habitat type, Error Bars: 95% Confidence Interval.

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Platymantis weberi Schmidt, 1932 Based on the total sum of encountered specimens (104) in all habitat types

Platymantis weberi (Appendix B) is classed as very common (Table 4.1). Observed

microhabitat preference is on the ground and in holes with calling males usually

found in slightly elevated positions such as fallen logs or tree stumps.

There was a significant difference in the encounter rates of P. weberi in lowland

and upland forests with coastal forests (KW test transects H = 15.39, df = 4, P <

0.05), however there was no significant differences between other habitats (Figure

4.7). Platymantis weberi individuals were commonly found in the lowland (45) and

upland (30) forest habitats, followed by logged and teak plantation habitats. The

lowest number of individuals was found in the coastal forests.

Figure 4.7 Platymantis weberi nocturnal (transect) mean encounter rate

for each habitat type, Error Bars: 95% Confidence Interval.

Rana kreffti Boulenger, 1884, also known as Hylarana kreffti

Based on the total sum of encountered specimens (51) in all habitat types Rana

kreffti (Appendix B) is classed as common (Table 4.1). Observed microhabitat

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preference is on the ground and close to still/stagnant water where males call with

loud distinctive notes.

There was no significant difference in the encounter rates of H. kreffti in the

different forest habitat types (KW test transects H = 5.98, df = 4, P < 0.05).

Cyrtodactylus salomonensis Rösler, Richards & Günther, 2007, formally known as C. louisiadensis De Vis, 1892

Based on the total sum of encountered specimens (14) in all habitat types

Cyrtodactylus salomonensis (Appendix B) is classed as uncommon (Table 4.1).

Observed microhabitat preference is on large tree trunks especially those without

climbing epiphytes such as P. pinnata, Canarium sp. and Ficus sp. trees.

There was a significant difference in the encounter rates of C. salomonensis in

lowland and logged forests with all other forests, however there is no significant

difference between the two (KW test transects H = 14.08, df = 4, P < 0.05, Figure

4.8). Cyrtodactylus salomonensis individuals were commonly found in the lowland

forests (12) followed by logged forest (2) habitats, no individuals were found in the

upland, teak plantation and coastal forests.

Gehyra oceanica Lesson, 1830 Based on the total sum of encountered specimens (14) in all habitat types Gehyra

oceanica (Appendix B) is classed as uncommon (Table 4.1). Observed microhabitat

preference is on tree trunks but especially on broad-leafed shrubs such as Pandanus

sp. and the sago palm Metroxylon salomonense.

There was no significant difference in the encounter rates of G. oceanica in the

different forest habitat types (KW test transects H = 2.88, df = 4, P < 0.01).

Nactus multicarinatus Günther, 1872 Based on the total sum of encountered specimens (64) in all habitat types Nactus

multicarinatus (Appendix B) is classed as common (Table 4.1). Observed

microhabitat preference is on the ground on tree trunks and especially in and around

tree hollows. This species seems to favour drier conditions and areas of high

anthropogenic activity.

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There was a significant difference in the encounter rates of N. multicarinatus

individuals in the different forest habitat types (KW test transects H = 10.68, df = 4,

P < 0.05, Figure 4.9). Nactus multicarinatus individuals were found in all forests

habitat types. Transects in logged forests had significantly lower values than lowland

and teak forests.

Figure 4.8 Cyrtodactylus salomonensis nocturnal (transect) mean

encounter rate for each habitat type, Error Bars: 95% Confidence Interval.

Corucia zebrata Gray, 1855 Based on the total sum of encountered specimens (3) in all habitat types Corucia

zebrata (Appendix B, plate 12) is classed as rare (Table 4.1). Observed microhabitat

preference is on tree trunks, especially tree trunks with thick climbing epiphytes such

as P. pinnata, Canarium sp. and Ficus sp. trees. Due to its rarity and lack of

recordings no statistical tests were carried out in relation to habitat preference.

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Figure 4.9 Nactus multicarinatus nocturnal (transect) mean encounter

rate for each habitat type, Error Bars: 95% Confidence Interval.

4.3.3 Diurnal herpetofauna A comparison of the results for diurnal herpetofaunal commonality (encounter

rate), micro-habitat preference, and total encounters show the native species Emoia

pseudocyanura to be dominant (Table 4.2). The IUCN Red-list status (IUCN 2012)

and endemic status (McCoy 2006, Pikacha et al. 2008) of each species is also listed

in Table 4.2.

Emoia atrocostata freycineti Duméril & Bibron, 1839, Solomon Islands subspecies

Based on the sum total of encountered specimens (1) in all habitat types Emoia

atrocostata freycineti (Appendix B) is classed as rare (Table 4.2). Observed

microhabitat preference is on the ground and on rocks within or beside the intertidal

zone, this indicates its non-preference for forested areas. Due to its rarity and lack of

recordings no statistical tests were carried out in relation to habitat preference.

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Table 4.2 Summary of diurnal results. Commonality = rare, (<4 total

encounters), uncommon (4-16 total encounters), common (17-64 total

encounters) and very common (>64 total encounters). SI = Solomon Islands.

Endemic status taken from McCoy (2006) and Pikacha et al. (2008) and Red-

list status taken from IUCN (2012)

Species

Endemic status

IUC

N

Red-list

status

Com

monality

on Malaita

Observed

micro -habitat

preference

Total sum

of

encountered individuals

Skinks

E. atrocostrata S.I. national endemic

Least Concern

Rare Rocks and close to inter-tidal zone

1

E. cyanogaster Regional endemic

Least Concern

Uncommon Arboreal, on tree trunks and shrubs 1-5m.

6

E. nigra Regional endemic

Least Concern

Common Leaf litter, clearings, tree trunks

35

E. pseudocyanura

S.I. national endemic

Least Concern

Very Common

Leaf litter, clearings, tree trunks, shrubs and ferns

189

P. virens Regional endemic

Least Concern

Rare Arboreal 5m 1

S. bignelli S.I. national endemic

Least Concern

Uncommon On the ground, under debris

6

S. concinnatus S.I. national endemic

Least Concern

Very common

On the ground, leaf litter

94

S. cranei S.I. national endemic

Least Concern

Rare Within tree-fern trunks

1

S. solomonis S.I. national endemic

Least Concern

Uncommon In the ground, rotting wood

6

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Emoia cyanogaster Lesson, 1826 Based on the total sum of encountered specimens (6) in all habitat types Emoia

cyanogaster (Appendix B) is classed as uncommon (Table 4.2). Observed

microhabitat preference is between 1-5 m above the ground on tree trunks and

branches, especially those with think epiphytic cover.

There was a significant difference in the encounter rates of E. cyanogaster in

logged and lowland forests with all other forests (KW test quadrats H = 16.06, df =

4, P < 0.05, Figure 4.10). Emoia cyanogaster individuals were found in logged and

lowland forests and no individuals were encountered in all other habitat types.

Figure 4.10 Emoia cyanogaster diurnal (quadrat) mean encounter rate for

each habitat type, Error Bars: 95% Confidence Interval.

Emoia nigra Jacquinot & Guichenot, 1853 Based on the total sum of encountered specimens (35) in all habitat types Emoia

nigra (Appendix B) is classed as common (Table 4.2). Observed microhabitat

preference is on the ground especially along bush paths and amongst leaf litter, with

some specimens also found around 1m above the ground on tree trunks.

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There was no significant difference in the encounter rates of E. nigra individuals

in the different forest habitat types (KW test transects H = 9.13, df = 4, P < 0.05).

Emoia pseudocyanura Brown, 1991 Based on the total sum of encountered specimens (189) in all habitat types Emoia

pseudocyanura (Appendix B) is classed as very common (Table 4.2). Observed

micro-habitat preference is on the ground especially along bush paths and amongst

leaf litter; specimens are also found around 1m above the ground on tree trunks,

shrubs and ferns (eg. Alpinia oceanica), it is commonly found basking in direct

sunlight.

There was a significant difference in the encounter rates (H = 36.99, df = 4, P <

0.05) with teak plantation and logged forests showing higher encounter rates

compared with the other forest types (Figure 4.11). Although individuals were found

in all forest habitats they were more common in logged and teak forests, followed by

coastal then lowland and upland forests.

Figure 4.11 Emoia pseudocyanura diurnal (quadrat) mean encounter rate

for each habitat type, Error Bars: 95% Confidence Interval.

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Prasinohaema virens Boulenger, 1883 Based on the total sum of encountered specimens (1) in all habitat types

Prasinohaema virens (Appendix B) is classed as rare (Table 4.2). Observed

microhabitat preference is arboreal at around 5 m above the ground along ends of

branches. Due to its rarity and lack of recordings no statistical test were carried out in

relation to habitat preference.

Sphenomorphus bignelli Schmidt, 1932 Based on the total sum of encountered specimens (6) in all habitat types

Sphenomorphus bignelli (Appendix B) is classed as uncommon (Table 4.2).

Observed microhabitat preference is on the ground and often burrowing under dead

debris or leaf litter.

There was no significant difference in the encounter rates of S. bignelli

individuals in the different forest habitat types (KW test transects H = 3.87, df = 4, P

< 0.05).

Sphenomorphus concinnatus Boulenger, 1887 Based on the total sum of encountered specimens (94) in all habitat types

Sphenomorphus concinnatus (Appendix B) is classed as very common (Table 4.2).

Observed microhabitat preference is on the ground especially along bush paths and

amongst leaf litter; some specimens also burrow into rotting debris.

There was a significant difference in the encounter rates of S. concinnatus in teak

plantation and lowland forests with all other forests (KW test quadrats H = 12.61, df

= 4, P < 0.05, Figure 4.12). Sphenomorphus concinnatus individuals were found in

all forest habitats except coastal forest and were most common in teak plantation and

lowland forest habitats in transects.

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Figure 4.12 Sphenomorphus concinnatus diurnal (quadrat) mean

encounter rate for each habitat type, Error Bars: 95% Confidence Interval.

Sphenomorphus cranei Schmidt, 1932 Based on the total sum of encountered specimens (1) in all habitat types

Sphenomorphus cranei (Appendix B) is classed as rare (Table 4.2). Observed

microhabitat preference is within the trunks of tree ferns (Cyathea vittata). Due to its

rarity and lack of recordings no statistical tests were carried out in relation to habitat

preference.

Sphenomorphus solomonis Boulenger, 1887 Based on the total sum of encountered specimens (6) in all habitat types

Sphenomorphus solomonis (Appendix B, plate 21) is classed as uncommon (Table

4.2). Observed microhabitat preference is on the ground, often burrowing under

debris, rotting wood or leaf litter.

There was no significant difference in the encounter rates of S. solomonis

individuals in the different forest habitat types (KW test transects H = 5.33, df = 4, P

< 0.05).

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4.3.4 Additional species In addition to the 21 species encountered during the sampling surveys there were

also five other species observed outside of sampling areas. These included one frog

(Litoria thesaurensis Peters, 1877), two geckos (Lepidodactylus lugubris Duméril

and Bibron, 1836 and Hemidactylus frenatus Duméril and Bibron, 1836) and two

skinks (Eugongylus albofasciolatus Shaw, 1802 and Lamprolepis smaragdina

Lesson, 1830). Litoria thesaurensis and E. albofasciolatus were observed only once

at night in lowland forests and appear to be rare on the island of Malaita.

Lepidodactylus lugubris, H. frenatus and L. smaragdina were found abundantly

around homes and appear to be strong human commensals. Therefore, in total 26

species of frogs, geckos and skinks were observed, during field trip periods on

Malaita.

4.3.5 Species behaviour and Indicator species Twelve species showed significant forest habitat preferences (7 frogs, 2 geckos

and 3 skinks)(Table 4.3). All ‘very common’ species except for D. guppyi appeared

to be generalist species and were found in more than two habitats, indicating that the

majority of forest herpetofaunal biomass consists of such species. All species that did

not exhibit habitat preference were ‘common’ and ‘generalists’.

Table 4.3 A comparison of species behaviour and habitat preferences of

the 21 herpetofaunal species encountered during sampling. Possible

indicator species are shaded, blank cells indicate insufficient data available to

make allocations.

Species Commonality on

Malaita

Generalist or

specialist

Preferred habitat,

forest with highest

mean abundance

Frogs

B. marinus Very common Generalist Logged

B. vertebralis Very common Generalist Upland

C. guentheri Very common Generalist Upland

D. guppyi Very common Specialist Lowland

H. kreffti Common Generalist No preference

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P. weberi Very common Generalist Lowland

P. solomonis Common Specialist Lowland

P. guppyi Very common Generalist Lowland

Geckos

C. salomonensis Uncommon Specialist Lowland

G. oceanica Uncommon Generalist Coastal

N. multicarinatus Common Generalist No preference

Skinks

C. zebrata Rare - No preference

E. pseudocyanura Very common Generalist Teak

E. atrocostata Rare - No preference

E. cyanogaster Uncommon Specialist Logged

E. nigra Common Generalist No preference

P. virens Rare - No preference

S. bignelli Uncommon Specialist No preference

S. concinnatus Very common Generalist Teak

S. solomonis Uncommon Generalist No preference

S. cranei Rare - No preference

Three possible indicator species of healthy lowland forest are: the frogs: D.

guppyi and P. solomonis and the gecko C. salomonensis. All are relatively common

specialist species preferring lowland forests. These three species all have pros and

cons as indicator species but from all herpetofauna observed during sampling they

appear to be the best indicator species candidates for healthy lowland forest on

Malaita.

4.4 Discussion of Results

4.4.1 Indicator Species Discodeles guppyi is a large and unique frog found in high numbers close to

waterways (Table 4.1) and is easily distinguished from other species. It is also a

charismatic species and well known by local inhabitants (see Ch. 6). However, being

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an aquatic frog (as opposed to arboreal or ground frog) and found only in areas close

to waterways, it may not be a useful indicator for general forest habitat, though use

as an indicator of riparian or waterway health may be more applicable.

Platymantis solomonis is a medium sized frog found in good numbers in

relatively healthy forest, although it is difficult to distinguish from P. weberi at a

distance and usually grouped together with P. weberi (a smaller wider ranging frog)

by locals (pers. obs.). However, due to its wide distribution in healthy forest P.

solomonis is a good candidate for both lowland and upland forest health.

Cyrtodactylus salomonensis is a large, unique gecko found in relative low

densities in lowland forests. It is easily distinguished from other lizards and is also a

charismatic species to locals (see Ch. 6). Being an arboreal species with low

densities, the encounter rate of this species is relatively low which may result in

biased indications of forest health.

4.4.2 Herpetofaunal richness comparisons to other studies Many studies have sampled herpetofaunal richness in different habitat types

globally, and several of these studies have been undertaken in tropical areas and have

used similar methods to the current study (Table 4.4). For example, this study

recorded a total of 8 frogs during sampling which is in the range of 7 and 23 species

of frogs that were recorded in these previous studies. Also a total of 13 lizards

(skinks + geckos) were recorded which also falls within the range of 3 to 30 lizards

that were recorded in the previous studies. This suggests that the species richness

found in this study corresponded well to similar studies around the world.

4.4.3 Herpetofaunal richness comparisons to other Solomon Island islands

A comparison of the herpetofaunal richness found in this current study with the 5

other major islands in the Solomon’s archipelago according to McCoy (2006) and

Pikacha et al. (2008) shows that Malaita has the second lowest herpetofaunal

richness per square kilometre (behind Makira) of all the major Solomon Island’s

islands (Table 4.5). The approximate island sizes and distances to nearest continental

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landmass (biodiversity source area), in this case mainland PNG, is also listed in

Table 4.5.

Table 4.4 A selection of global tropical herpetofaunal studies similar to

the current study.

Place of study

Herpetofaunal

sampling m

ethods

used

Different habitats

sampled

Results of total

herpetofauna richness

Study authors and

year

Costa R

ica, La Selva

Biological Station

75 x 25m² plots

Abandoned cacao

plantation forest and

primary undisturbed forest

18 frogs, 2 skinks and 1

gecko

Heinen (1992)

Uganda, K

ibale

National Park

50 x 25m² plots

Undisturbed forest,

logged forest and

pine plantation

forest

10 frogs and 5

lizards

Vonesh (2001)

Indonesia, Kabaena, M

una

and Buton Islands, Sulaw

esi

Pitfall traps, driftnets, 1hr

diurnal and 20min nocturnal

point counts and 200m

stream transects

Minim

ally disturbed forest,

moderately disturbed forest,

secondary forest, plantation

forest, farmland, villages

and towns, coastal and

estuarine habitats and caves.

13 frogs, 15 skinks and 10

geckos

Gillespie et al. (2005)

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Brazil, Jari R

iver

area of Am

azonia

Pitfall traps, drift

fence , funnel

traps, sticky trap

boards and

transects

Mature prim

ary

rainforest,

secondary forest

and mature

plantation forest

23 frogs and 30

lizards

Gardner et al.

(2007 )

Solomon Islands, C

hoiseul

12 x 50x100m plots

Lowland coastal forest,

lowland palm

forest, lowland

rainforest, plantation/gardens,

lowland sw

amp forest,

secondary lowland forest,

mid -altitude rainforest and

upland rainforest

15 frogs, 5 geckos and 7

skinks

Morrison et al. (2007)

Madagascar,

Montagne des

Francais

9 -0.8ha plots

Undisturbed

forest, clear-cut

forests and

orchards

7 geckos and 1

skink

(D'C

ruze and

Kum

ar 2011)

Hong K

ong

158 diurnal and 116

nocturnal 100m transects,

40 0.66² cover -boards and

drift fences with pitfall

traps

Exotic plantation forest

and native secondary

forest

7 frogs and 5 lizards

Sung (2011)

Solomon

Islands, Malaita

80 x 500m

transects and

120 x 10²

quadrats

Unlogged

Coastal,

lowland and

upland, logged

lowland and

teak plantations

8 frogs, 3

geckos and 10

Pollard, 2012

(this study)

Isabel island, which is most similar in island size to Malaita has 10 more frog

species, but two less gecko and four less skink species (McCoy 2006, Pikacha et al.

2008). Makira which is slightly smaller in size than Malaita is the island with the

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most similar approximate distance from PNG to Malaita and has six less frogs, one

less gecko and two less skink species (McCoy 2006, Pikacha et al. 2008). Therefore

based on Table 4.5, island size seems to be a better determinant for lizard richness

whereas distance from source a better determinant for frog richness.

Table 4.5 A comparison of the recorded richness of frogs, geckos and

skinks based on Pikacha et al.(2008) and McCoy (2006) of the six major

islands of the Solomon Island’s archipelago, with island size (UNEP 1998)

and distance from mainland PNG (daftlogic.com 2012)

Island name No. of

Frogs

No. of

Geckos

No. of

Skinks

Total of

the three

groups

Approx.

island

size

(km2)

Approx.

distance

from

mainland

PNG (km)

Choiseul 19 4 15 38 2971 740

New Georgia 8 7 12 27 2037 760

Isabel 18 4 10 32 3665 870

Guadalcanal 12 12 15 39 5352 970

Makira 2 5 12 19 3190 1150

Malaita 8 6 14 28

3836 1100 Malaita (this

study)

9 3 14 26

4.4.4 Malaitan Herpetofaunal richness compared to McCoy and Pikacha One frog (Discodeles bufoniformis), one gecko (Lepidodactylus guppyi) and two

skinks (Emoia cyanura and Emoia flavigularis) were recorded in the Malaitan

herpetofaunal species lists of McCoy (2006) and Pikacha et.al (2010) but were not

found during the current study sampling (Table 4.5). In addition, two frogs (R. kreffti

and B. marinus) were found which had not been recorded in the species list of

McCoy and Pikacha and are new records for the island of Malaita

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Possible reasons why species were not observed or why some other species might

have recorded minimal sightings fall into two categories. Either the species in

question is rare/absent or the methods used were not suitable for accurate observation

of the species. As sampling for herpetofauna was focused on forest habitats, gecko

species such as L. lugubris, H. frenatus and L. smaragdina that are regarded as

human commensals (McCoy 2006) were not expected to be found. In addition, the

skink Emoia cyanura was not expected to be found on mainland Malaita as McCoy

(2006) states that it is found only on nearby smaller islands in the Langa-Langa

lagoon.

Table 4.6 Overall Malaitan herpetofaunal (frogs, geckos and skinks)

species lists according to McCoy (2006) (M) and Pikacha et al. (2008) (P)

and species observed in this study. (X = during sampling and x = outside of

sampling but seen during field trip periods).

Species names

Rec

orde

d in

sp

ecie

s list

s

Enco

unte

red

in th

is st

udy

Species names

Rec

orde

d in

sp

ecie

s list

s

Enco

unte

red

in th

is st

udy

B. vertebralis P X H. frenatus M x B. marinus - X L. guppyi M - C. guentheri P X L. lugubris M x C. salomonensis M X L. smaragdina M x

C. zebrata M X L. thesaurensis P x D. bufoniformis P - N. multicarinatus M X D. guppyi P X P. guppyi P X E. albofasciolatus M x P. solomonis P X

E. atrocostrata M X P. virens M X

E. cyanogaster M X P. weberi P X

E. cyanura M - R. kreffti - X

E. flavigularis M - S. bignelli M X

E. nigra M X S. concinnatus M X

E. pseudocyanura M X S. cranei M X

G. oceanica M X S. solomonis M X

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4.4.5 Evaluation of methods used With reference to ease of use and practicality in the field, the current methods

were satisfactory with reference to physical demands on samplers and time

availability to carry out sampling. The methods excelled in the encounter rates for

frogs with the nocturnal VES recording a high rate for frog abundances and richness.

However, there was a weakness in the lizard surveys because of a high chance of

error in the identification of the fast moving lizards. Comparatively the relatively

stationary nature of frogs, made the accuracy of identification higher. The methods

used also had a weakness for under detection of arboreal species and therefore such

species were probably under recorded. More exhaustive sampling including more

sites and covering more seasons may result in an increased abundance of species

such as C. zebrata, S. solomonis, S. cranei, E. atrocostata and P. virens. The

observation of unobserved species such as L. thesaurensis, D. bufoniformis, L.

guppyi, E. flavigularis and E. albofasciolatus, might then also be recorded.

Possible additional method to help improve the accuracy of visual identifications

and increase the chance of capture for lizards especially the more cryptic species is

the use of glue/sticky traps (Fisher 2011), cover-boards and funnel and pitfall traps

with drift fences (Greenberg et al. 1994, Ryan et al. 2002). Traps can capture more

difficult species however different techniques are better for different taxa and a

combination of methods is recommended to achieve maximum species detections

(Ryan et al. 2002).

4.5 Summary of herpetofaunal richness and abundance In summary nine frogs, five geckos and twelve skinks were observed on the

island of Malaita. Of these 26 species, 12 indicated habitat preference based on the

five different forest habitats sampled. Two previously unrecorded frog species (R.

kreffti and B. marinus) were also found on the island although 3 species (D.

bufoniformis, L. guppyi and E. flavigularis) previously recorded were not

encountered. Bufo marinus is a well-known serious invasive pest species (GISD

2013) and its potential impacts on native fauna needs to be investigated further.

Most species encountered were of relatively high abundance and described as

very common or common. However, four skinks were low in abundance having less

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than four recordings during all sampling periods. No species are currently of a global

conservation concern as measured by the IUCN Red-listing process, however

specialist species such as D. guppyi and C. salomonensis are of local conservation

concern due to habitat degradation.

Three species were selected as good possible indicator species for the health and

intactness of lowland forest, the most highly threatened forest type in Solomon

Islands (see Ch. 7). However, D. guppyi, C. salomonensis and P. solomonis were not

suitable indicators for other forest types. More studies are needed especially with

genetic work to identify and record and further herpetofaunal species on the island.

The methods used provided excellent and expected results for Malaita, however the

use of additional methods along with more exhaustive sampling may improve any

further surveys. Methods to cater for arboreal species and also small, fast-moving

skinks would also improve the accuracy of herpetofaunal sampling in any tropical

forest.

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CHAPTER 5: FOREST HABITAT AND HERPETOFAUNAL

RICHNESS

5.1 Introduction The Solomon Islands has just over 2.2 million ha of forested areas which is

approximately 79% of the total land area (FAO 2011). The composition of the forests

are greatly dependant on disturbance levels and this disturbance results in a unique

changing landscape (Burslem and Whitmore 1999). Gap formation (either man-made

or natural) results in a “diverse fluctuating composition of climax species and

pioneer species” in tropical forests (Bennet 2000). Forest ecosystems have become

adapted to natural disturbances (eg. tropical cyclones) and species have adapted to

take advantage of such disturbances resulting in a very resilient communities (Bennet

2000, Filardi et al. 2007).

Burslem et al. (2000) in a 30-year study on Kolombangara, Western Solomon

Islands showed that cyclones only produce short-term impacts on intact forests and

that major forest composition differences are caused by anthropogenic activities.

Anthropogenic activities are the major factor influencing changes to the composition

and distribution of Solomon forests and soil condition (Bennet 2000, Burslem et al.

2000). Forests are therefore not only communities of biological entities but are also a

product of strong inter-relations with the resident human population. The first

colonists cleared land and cut trees for agriculture, timber and fuel and also

cultivated species of value such as the Canarium nut trees (Rolett and Diamond

2004). As quoted in Bayliss-Smith and Hviding (2003) “forests are in fact cultural

artifacts exhibiting remarkable resilience in the face of both natural disturbance and

human use over very long periods of time.”

Collation of the research of Ross (1973), Mueller-Dombois and Fosberg (1998),

Bennet (2000), Pikacha et al. (2008) Pauku (2009) and FAO (2010) allows

classification of the forests of the Solomon Islands into eight major categories (Table

5.1). Though these categories are useful guides, variations do occur within the

different categories based on local topography, soil type and species composition. It

is also important to note that distinct boundaries between the described forest types

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are not easily defined and in many cases, a continuum of transformation may be

more clearly observed (pers. obs.).

Table 5.1 The eight Major categories of forests found in the Solomon

Islands as collated from Ross (1973), Mueller-Dombois and Fosberg (1998),

Bennet (2000), Pikacha et al. (2008), Pauku (2009) and FAO (2010).

Comment Topographical

location

Dominant botanical

genera

Forest

category

Plays an important

ecological role for

marine ecosystem

s and

also act s as a buffer

zone against high seas

Inter-tidal areas

Rhizophora and

Bruguiera

1. Saline swam

p

forests

Very poor draining

areas that are usually

inundated during the

rainy season

Cyrtosperma,

Metroxylon,

Terminalia and

Calophyllum

2. Freshwater

marshes, sw

amps

and riverine forests

The most com

mercially exploited forest category

Flat inland areas

Large trees such as Pterocarpus, Calophyllum,

Campnosperm

a, Eleocarpus, Endospermum

,

Gm

elina, Maranthes, Parinari, Pom

etia, Dillenia,

Schizomeria, Term

inalia, Canarium and Vitex.

Short trees such as Barringtonia Leea and

Tapeinosperma palm

s such as Areca, Licuala,

Strongylocaryum, Pandanus and bam

boos

3. Lowland rainforest (also includes hill forest

found on slopes and well drained sites)

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Is a strong barrier of

protection from the

sea

Coastal areas close to

the sea

Ipomoea, Canavalia,

Vigna, Wollastonia,

Barringtonia,

Callophyllum,

Cerbera, Heritiera,

Intsia, Terminalia and

Casuarina

4. Coastal forests

(also known as the

lowland beach forest)

This category has minim

al

comm

ercial exploitation

Found on well-draining soils

usually observed above 600masl on

ridge tops and mountain peaks at

wet and often cloudy, w

indy sites.

Tall trees Dacrydium

, Eugenia,

Ardisia, Rhododendron,

Metrosideros, Ficus, Psychotria,

Schefflera, Podocarpus, bamboo,

orchids, and Cyathea tree-ferns

5. Upland rainforests (also know

n

as the lower m

ontane forest)

Has a very cool, w

et

climate

Usually found above

1000masl or in other

areas where there are less

hospitable conditions.

Characterized by m

osses

and lichens

6. Montane cloud or

moss forest

Cleared and

sparse with open

canopy and

isolated trees

Dom

inated by

pioneer species

and invasive

vines

7. Logged forest

(also degraded

forests)

Solomon Islands have

around 28,000 ha of both

native and exotic species.

See paragraph below on

teak.

Mostly found in areas of

past lowland and coastal

forest growth

Gm

elina, Campnosperm

a,

Eucalyptus, Terminalia,

Acacia, Tectona and

Swietenia.

8. Plantation forests

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Teak (Tectona grandis) is an important timber plantation species especially on

Malaita Island. For example, in 2009 a total of 363 kg of teak seeds were given by

the Ministry of Forestry and Research (MoFR) to communities throughout the

Solomon Islands to plant, of which 128 kg went to Malaita (MoFR 2009). Thus,

since 2000 around 4,000 ha of teak have been planted throughout the country. During

2009 more than 103 ha of teak was planted in the country with over 12 ha of that on

Malaita Island (MoFR 2009). These figures are probably an underestimate because

they are only from areas under forestry observation and therefore don’t include all

planted areas.

This chapter will define relationships between herpetofaunal incidence, forest

habitat type and the degree of habitat degradation. It will begin with floral and

herpetofaunal descriptions of each sampled forest habitat type. And then add a

herpetofaunal richness analysis of all forest habitat types followed by results related

to habitat degradation and modification.

5.2 Specific Methodology This current research study focused on five mutually exclusive forest types: 3)

unlogged lowland, 4) unlogged coastal, 5) unlogged upland, 7) logged lowland and

8) teak plantation forests. These five categories were selected from the eight

categories in Table 5.1 because they included the largest land cover area and were

generally easily accessible. On the contrast, 1) saline swamp, 2) freshwater swamp

and 6) montane forests were excluded from sampling due to great difficulty to access

and because of minimal sampling area. The basic descriptions of these five forest

habitats based on observations in the field are provided in Table 5.2.

Botanical lists (sorted into 4 floral group categories: canopy, understory, shrubs

and epiphytes) were also generated to provide a brief botanical description of each

forest habitat type. Photos of dominant plant species were taken to Honiara and

identified by local botanist Myknee Sirikolo associated with the South Pacific

Regional Herbarium (SPRH). Herpetofaunal abundance and richness was recorded

for each forest habitat type using the sampling methods previously described in

Chapter 3. Important floral plants will also be listed, these are plants that have any

observed association with herpetofauna.

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Table 5.2 Descriptions based on personal observations of the five habitat

types used in this research study

Comments Description of

forest habitat

study sites

General vegetation

description

Forest

habitat

type

Well-draining

substrate, usually

sand or gravel,

and human-

influence is

evident

Flat land close to

and in many

cases adjacent to

the coast

Abundance of

coconuts and

large trees

1. Unlogged

Coastal forest

Soils are relatively

rich in humus and

dark in colour

Along valleys and

adjacent to

waterw

ays and along

slopes at elevations

less than 300 m.a.s.l.

Vegetation is

characterized by a

thick canopy with

many large trees

over 20 m

2. Unlogged

Lowland forest

Moist substrate and

this area is frequently

under precipitation and

low tem

peratures,

evidence of past human

habitation is evident

Along ridge tops,

usually above areas 500

m.a.s.l.

Abundant m

oss and

lichen species and

categorized by a

canopy < 15 m tall

3. Unlogged U

pland

forest

This habitat has forest

remnants and areas that

have been turned into

gardens, soils in

exposed areas are dry

Lowland forests that

have undergone mass

transformation due to

the imp acts of large-

scale logging

Lack of a closed

canopy with very few

tall trees and thick

undergrowth usually

dominated by invasive

species and new shrubs

4. Logged Lowland

forest

Formally low

land

forest

Mono-cultured

species established

in relatively

homoge nous

uniform row

s

Teak provided

thick canopy cover,

thick leaf litter and

there was generally

sparse

undergrowth.

5. Plantation forest

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5.3 Results

5.3.1 Unlogged Coastal Forest

5.3.1.1 Coastal plants A list of plants found in coastal forests revealed the dominant species to be

canopy trees Calophyllum inophyllum, Barringtonia asiatica, and Rhus taitensis

(Table 5.3). With shrubs such as Pandanus sp. were observed to provide important

shelter for geckos.

Table 5.3 The dominant species of plants determined via photographic

identification from the four floral groups found in unlogged coastal forests on

Malaita in January 2012.

Floral group

Dominant Species

Canopy Calophyllum inophyllum, Barringtonia asiatica, Ficus tinctoria, Alstonia spectabilis, Rhus taitensis, Scaevola taccada, Premna corymbosa, Rhus taitensis, Calophyllum vitiense, Cocos nucifera

Understory Erythroxylon ecarinatum, Medinilla rubescens, Inocarpus fagifer, Fagraea sp., Garcinia sp.

Shrub and forest floor

Pandanus compressus, Nephrolepis sp., Crinum asiaticum, Piper sp., Pandanus sp., Acrostichum aureum, Discocalyx sp.

Epiphytes Asplenium nidus, Davalia solida, Dendrobium sp.

5.3.1.2 Coastal herpetofauna In the coastal forests a total of nine herpetofaunal species were encountered

(Figure 5.1). The most abundant species found at night (transects) were Bufo marinus

and Nactus multicarinatus. During the day (quadrats), the most common species was

Emoia pseudocyanura.

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Figure 5.1 Encounter rates of herpetofaunal species found in coastal

forest

5.3.2 Unlogged Lowland Forest

5.3.2.1 Lowland plants A list of plants found in lowland forests revealed the dominant species to be

canopy trees Vitex cofassus, Pometia pinnata, Canarium sp. and Ficus benjamina

(Table 5.4). Plants that were observed to provide important shelter for herpetofauna

include the canopy trees (P. pinnata, Canarium sp. and Ficus sp.), the epiphyte

(Asplenium nidus), the shrub (Cominsia guppyi), the understory palms (Areca

macrocalyx and Metroxylon salomonense) and the tree fern (Cyathea vittata).

5.3.2.2 Lowland herpetofauna In the lowland forests a total of 19 herpetofaunal species were encountered

(Figure 5.2). The most abundant species found at night (transects) were Discodeles

guppyi, Bufo marinus and Platymantis weberi, although D. guppyi were only

encountered in transects in riparian forests beside streams. During the day (quadrats),

the most common species were Emoia pseudocyanura and Sphenomorphus

concinnatus.

0

0.5

1

1.5

2

2.5

3

3.5

R. k

refft

i

P. w

eber

i

P. g

uppy

i

B. m

arin

us

G. o

cean

ia

N. m

ultic

arin

atus

E. a

troc

osta

ta

E. n

igra

E. p

seud

ocya

nura

Enco

unte

r rat

e pe

r tra

nsec

t/qu

adra

t

Species

Transects

Quadrats

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71

Table 5.4 The dominant species of plants determined via photographic

identification from the four floral groups found in unlogged lowland forests on

Malaita in January 2012.

Floral group

Dominant Species

Canopy Vitex cofassus, Pometia pinnata, Ficus benjamina, Ficus sp., Canarium sp., Gmelina moluccana

Understory Heterospathe minor, Areca macrocalyx, Calamus hollrungii, Metroxylon salomonense, Caryota rumphiana, Schizostachyum tessellatum, Heterospathe sp., Calamus hollrungii

Shrub and forest floor

Selaginella rechingerii, Dennstaedtia sp., Elatostema sp., Cominsia guppyi, Cyathea vittata

Epiphytes Scindapsus salomoniensis, Pothos rumphii, Pothos hellwigii, Asplenium nidus

Figure 5.2 Encounter rates of herpetofaunal species found in lowland

forest.

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

R. k

refft

i

P. w

eber

i

P. so

lom

onis

P. g

uppy

i

D. g

uppy

i

C. g

uent

heri

B. v

erte

bral

is

B. m

arin

us

C. sa

lom

onen

sis

G. o

cean

ia

N. m

ultic

arin

atus

C. ze

brat

a

S. co

ncin

natu

s

S. so

lom

onis

E. cy

anog

aste

r

E. n

igra

E. p

seud

ocya

nura

S. b

igne

lli

Enco

unte

r rat

e pe

r tra

nsec

t/qu

adra

t

Species

Transects

Quadrats

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5.3.3 Unlogged Upland Forest

5.3.3.1 Upland plants A list of plants found in upland forests revealed the dominant species to be

canopy trees Schefflera sp. and Calophyllum vitiense and understory plants Cyathea

vittata (tree fern) and Nastus obtusus (bamboo) (Table 5.5). Plants that were

observed to provide important shelter for herpetofauna include the epiphyte

(Asplenium nidus) shrubs (Elatostema sp., Alpinia oceanica) and understory plants

(C. vittata and Nastus obtusus).

Table 5.5 The dominant species of plants determined via photographic

identification from the four floral groups found in unlogged upland forests on

Malaita in January 2012.

Floral group

Dominant Species

Canopy Schefflera sp., Trichospermum sp., Ficus variegata, Calophyllum vitiense, Neonauclea orientalis

Understory Cyathea vittata, Litsea sp., Areca macrocalyx, Garcinia sp., Nastus obtusus, Saurauia sp., Gulubia macrospadix

Shrub and forest floor

Calanthe triplicate, Elatostema sp., Scindapsus sp., Goodyera sp., Pleomele angustifolia, Dennstaedtia sp., Cyathea vittata, Tmesipteris sp., Piper sp., Selaginella rechingeri, Leea indica, Crinum asiaticum, Pleomele angustifolia, Begonia sp., Alpinia oceanica, Freycinetia sp., Nephrolepis sp.

Epiphytes Asplenium nidus, Myrmecodia salo, Piper sp., Psychotria sp., Pothos sp., Coelogyne sp., Lycopodium phlegmarioides

5.3.3.2 Upland herpetofauna In the upland forests a total of 14 herpetofaunal species were encountered (Figure

5.3). The most abundant species found at night (transects) were Batrachylodes

vertebralis and Ceratobatrachus guentheri. During the day (quadrats), the most

common species was also C. guentheri, though all were juveniles.

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73

Figure 5.3 Encounter rates of herpetofaunal species found in upland

forest

5.3.4 Logged Lowland Forest

5.3.4.1 Logged plants

A list of plants found in upland forests revealed the dominant species to be

invasive alien epiphytes, Merremia peltata and Mikania micrantha, undergrowth

trees Timonius timon, Rhus taitensis and Ficus sp. (Table 5.6). There is an obvious

lack of upper canopy, with the a few remnant species that included Vitex cofassus,

Pometia pinnata, and Canarium sp.. Shrubs such as Alpinia oceanica were observed

to provide important shelter for skinks.

5.3.4.2 Logged herpetofauna

In logged forest a total of 15 herpetofaunal species were encountered (Figure

5.4). Logging usually occurs in lowland forests and therefore similarities in species

composition were found between the two habitat types. The most abundant species

0

1

2

3

4

5

6

7

8

R. k

refft

i

P. w

eber

i

P. so

lom

onis

P. g

uppy

i

C. g

uent

heri

B. v

erte

bral

is

B. m

arin

us

N. m

ultic

arin

atus

S. so

lom

onis

E. n

igra

E. p

seud

ocya

nura

S. b

igne

lli

S. co

ncin

natu

s

S.cr

anei

Enco

unte

r rat

e pe

r tra

nsec

t/qu

adra

t

Species

Transects

Quadrats

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74

found along at night (transects) was Bufo marinus. During the day (quadrats), the

most common species was Emoia pseudocyanura.

Table 5.6 The dominant species of plants determined via photographic

identification from the four floral groups found in logged lowland forests on

Malaita in January 2012.

Floral group

Dominant Species

Canopy Vitex cofassus, Pometia pinnata, Canarium spp.

Understory Timonius timon, Rhus taitensis, Areca macrocalyx, Macaranga tanarius, Ficus copiosa, Ficus septica, Paraserianthes falcata

Shrub and forest floor

Nephrolepis biserrata, Alpinia oceanica, Nephrolepis hirsutula, Spathoglottis plicata

Epiphytes Merremia peltata, Mikania micrantha

Figure 5.4 Encounter rates of herpetofaunal species found in logged

forest.

0

0.5

1

1.5

2

2.5

3

R. k

refft

i

P. w

eber

i

P. g

uppy

i

D. g

uppy

i

C. g

uent

heri

B. v

erte

bral

is

B. m

arin

us

C. sa

lom

onen

sis

G. o

cean

ia

N. m

ultic

arin

atus

E. cy

anog

aste

r

E. n

igra

E. p

seud

ocya

nura

P. v

irens

S. co

ncin

natu

s

Enco

unte

r rat

e pe

r tra

nsec

t/qu

adra

t

Species

Transects

Quadrats

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5.3.5 Teak Plantation Forest

5.3.5.1 Teak plantation plants A list of plants found in upland forests revealed the dominant species to be the

cultivated species Tectona grandis (Table 5.7). There are however, a few shade

tolerant shrub and understory plants, which provide ground cover such as

Nephrolepis, Ficus. and Piper sp. and Selaginella rechingeri. The thick leaf litter

created by T. grandis was observed to provide an important shelter for skinks.

Table 5.7 The dominant species of plants determined via photographic

identification from the four floral groups found in teak plantation forests on

Malaita in January 2012.

Floral group Dominant Species

Canopy Tectona grandis

Understory Ficus septica, Ficus chrysochaete, Ficus variegata, Euodia triphylla, Ficus wassa, Tarrena sp.

Shrub and forest floor

Nephrolepis biserrata, Selaginella rechingeri, Alpinia oceanica, Pteris sp., Dendrocnide salomonensis, Costus speciosus, Nephrolepis hirsutula, Cyrtosperma johnstonii

Epiphytes Piper betel, Piper sp.

5.3.5.2 Teak plantation herpetofauna In the teak plantation forest a total of 10 herpetofaunal species were encountered

(Figure 5.5). The most abundant species found at night (transects) was Bufo marinus.

During the day (quadrats) the most common species were Emoia pseudocyanura and

Sphenomorphus concinnatus.

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Figure 5.5 Encounter rates of herpetofaunal species found in teak forest.

5.3.6 Comparison of herpetofauna richness in the different habitat types

5.3.6.1 Nocturnal (Transects) A comparison of results based on the nocturnal visual encounter surveys’

(transects) for all habitats focusing on herpetofaunal species active at night shows

there were obvious differences in species richness on transects between the different

habitat types (KW test H = 28.010, df = 4, p < 0.05, Figure 5.6). At night (transects),

lowland and upland forests show significantly higher herpetofauna species richness

than coastal habitats. Lowland forests also had significantly higher species richness

than teak forests.

0

0.5

1

1.5

2

2.5

3

3.5

R. k

refft

i

P. w

eber

i

B. m

arin

us

G. o

cean

ia

N. m

ultic

arin

atus

C. ze

brat

a

E. n

igra

E. p

seud

ocya

nura

S. co

ncin

natu

s

S. so

lom

onis

Enco

unte

r rat

e pe

r tra

nsec

t/qu

adra

t

Species

Transects

Quadrats

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Figure 5.6 Comparison of average herpetofauna species richness in the

different habitat types based on nocturnal surveys (transects) conducted on

August 2011 to April 2012, Error Bars: 95% Confidence Interval.

5.3.6.2 Diurnal (Quadrats) A comparison of results based on diurnal quadrat sampling (quadrats) for all

forest habitats focusing of herpetofauna species active during the day shows there

were no obvious differences in species richness in quadrats in the different habitat

types (KW test H = 8.583, df = 4, p > 0.05, Figure 5.7). During the day (quadrats) all

forest habitat types recorded similar values for species richness per quadrat, however

species assemblages differed.

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Figure 5.7 Comparison of average herpetofaunal species richness in the

different habitat types based on diurnal surveys (quadrats) conducted on

August 2011 to April 2012, Error Bars: 95% Confidence Interval.

5.3.7 Priority forest habitat based on herpetofauna species richness Looking at the average nocturnal herpetofaunal species richness per transect

(Figure 5.6), lowland forest recorded the highest average value of 5.2 species. When

looking at average diurnal herpetofaunal species richness per quadrat (Figure 5.7),

teak forest recorded the highest average value of 1.9 species. Overall, lowland forest

has the highest total herpetofaunal species richness value with 18 species recorded

(Figure 5.8). Logged forest (15) is second followed by upland forest (14). In teak

forest and coastal forest only 10 and 9 species were recorded, respectively. From

these, only coastal forest, upland forest and logged forest recorded a single species

that was not found in any other forest habitat type.

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Figure 5.8 Comparison of total combined nocturnal and diurnal

herpetofaunal species richness.

When comparing nocturnal species abundances (transects), upland forest clearly

has the greatest abundance per species value with an average of 1.8 individuals

encountered per species per transect (Figure 5.9a). Comparing diurnal abundances

(quadrats), teak forest displays the greatest abundance per species with an average of

1.4 individuals encountered per species per quadrat.

If we remove the introduced, invasive cane toad Bufo marinus (Figure 5.9b) from

the comparisons to only include native fauna, there is a significant decrease for

nocturnal (transect) results in the average species abundance in logged (0.7) and teak

(0.4) forests and a slight decrease in coastal forests (0.9). This shows that the

presence of B. marinus in degraded landscapes is important and can bias data

representation.

0

2

4

6

8

10

12

14

16

18

20

Coastal Lowland Upland Logged Teak

Spec

ies r

ichn

ess

Forest Habitat Type

Skinks

Geckos

Frogs

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80

Figure 5.9a & b Average abundances per transect/quadrat

(nocturnal/transects=blue and diurnal/quadrats=red), both including and

excluding the introduced, invasive Bufo marinus.

5.3.8 Impact of habitat degradation and modification It was estimated due to the location and surrounding habitat that the majority of

logged and teak plantation forests were formerly lowland forests. Therefore,

comparisons will be drawn between these three habitat types (unlogged lowland

forest, logged lowland forest and teak plantation forest) to try to quantify the impact

of degradation and modification on lowland forests solely based on differences in

herpetofaunal abundance and richness (Figure 5.10). Unlogged lowland forests have

the highest total number of species with 18 followed closely by logged lowland

forests with 15 then teak forests with only 10 species.

00.20.40.60.8

11.21.41.61.8

2

Aver

age

spec

ies a

bund

ance

per

tr

anse

ct/q

uadr

at

a) Including Bufo marinus

00.20.40.60.8

11.21.41.61.8

2

Aver

age

spec

ies a

bund

ance

per

tr

anse

ct/q

uadr

at

b) Excluding Bufo marinus

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Figure 5.10 A comparison of total herpetofauna species richness in

unlogged lowland, logged lowland and teak plantation forests (previously

lowland).

There are differences in herpetofaunal species average encounter rates and

presence in logged lowland forest communities in comparison to those of unlogged

lowland forest communities. The difference in average encounter rates = logged

lowland forest average encounter rates minus unlogged lowland forest average

encounter rates (Table 5.8). Six species recorded higher encounter rates in logged

forested habitats than in unlogged lowland forested habitats (positive encounter rate

difference value). Eight species recorded lower encounter rates (negative encounter

rate difference value) and four species were not encountered at all in logged forested

habitats compared with unlogged lowland forested habitats. Therefore, with a net

loss of four species and a change in abundance for all 14 other species it is

reasonable to suggest that logging results in a change in the species composition of

herpetofaunal species.

02468

101214161820

Unlogged Lowland Logged Lowland Teak Plantation(previously

lowland)

Spec

ies R

ichn

ess

Forest Habitat Types

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Table 5.8 Difference in average encounter rates and species presence in

logged lowland forest compared with unlogged lowland forests, the difference

in average encounter rates = logged lowland forest average encounter rates -

unlogged lowland forest average encounter rates.

Species Difference in average encounter rates B. marinus + 4.8 E. pseudocyanura + 1.6 H. kreffti + 0.7 B. vertebralis + 0.4 E. nigra + 0.2 E. cyanogaster + 0.1 G. oceanica - 0.1 C. guentheri - 0.3 C. salomonensis - 0.4 N. multicarinatus - 0.5 S. concinnatus - 0.5 P. weberi - 0.8 P. guppyi - 1.0 D. guppyi - 4.5 P .solomonis Absent C .zebrata Absent S. solomonis Absent S. bignelli Absent

There are differences in herpetofaunal species average encounter rates and

presence in teak plantation forest communities in comparison to those of unlogged

lowland forest communities. The difference in average encounter rates = teak

plantation forest average encounter rates minus unlogged lowland forest average

encounter rates (Table 5.9). Six species recorded higher encounter rates in logged

forested habitats than in unlogged lowland forested habitats (positive encounter rate

difference value). One species of skink recorded no significant difference in

abundance (zero encounter rate difference value). Two species recorded lower

encounter rates (negative encounter rate difference value) and nine species were not

encountered at all in teak forested habitats compared with lowland forested habitats.

Therefore, with a net loss of nine species and a change in abundance for eight other

species it is reasonable to suggest that replacing lowland forest with teak plantation

forest results in a net change in the species composition of herpetofaunal species.

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Table 5.9 Difference in average encounter rates and species presence in

teak plantation forest compared with unlogged lowland forests, the difference

in average encounter rates = teak plantation forest average encounter rates -

unlogged lowland forest average encounter rates.

Species Difference in average encounter rates B. marinus + 5.6 E. pseudocyanura + 2.1 S. concinnatus + 1.7 E. nigra + 0.5 N. multicarinatus + 0.3 H. kreffti + 0.2 C .zebrata 0.0 G. oceanica - 0.2 P. weberi - 1.1 B. vertebralis Absent E. cyanogaster Absent C. guentheri Absent C. salomonensis Absent P. guppyi Absent D. guppyi Absent P .solomonis Absent S. solomonis Absent S. bignelli Absent

5.4 Discussion In the current study, coastal forest on Malaita was found to be generally species

poor for herpetofauna this is possibly due the saline and associated physiological

drought conditions to which coastal forest are adapted (pers. obs.). Most

herpetofauna, especially frogs are saline intolerant and freshwater dependent and are

therefore absent from coastal areas that are in close proximity to saltwater (Balinsky

1981, Pough et al. 1998). Thus, most coastal forests in this study were also either

fragmented due to the establishment of coconut plantations or degraded due to

human activities such as pig farming and timber extraction and the abundance of

invasive species (eg. rats, cats and dogs) (pers. obs.). Degraded and fragmented

forests show decreased species diversity and richness (Hillers et al. 2008), which is

evident for herpetofauna in coastal forests on Malaita. Two species (B. marinus and

N. multicarinatus) that seem to favour drier conditions and areas of high

anthropogenic activity were in high abundances in coastal forests.

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Lowland forest was generally rich in herpetofaunal richness, which may be due

to a high diversity of microhabitats. As Ernst et al. (2006) and Hillers et al. (2008)

found that greater microhabitat diversity of breeding sites, vegetation structure and

leaf litter cover act as influential variables and best explain frog abundance and

species diversity in many cases. For example, the current study only encountered D.

guppyi besides clean, small, fast flowing streams, a micro-habitat that was absent in

upland, coastal, teak and logged forests. Also in support C. salomonensis and C.

zebrata two of the largest lizards of the forest were found on P. pinnata, Canarium

sp. and Ficus sp., large trees that were rare or absent in coastal, upland, teak and

logged forests.

Upland forest was also found to be generally high in herpetofaunal richness and

this may be due to its relatively undisturbed state and unique climatic conditions

(pers. obs.). The conditions of the upland forests are cool and moist (Mueller-

Dombois and Fosberg 1998) and these parameters are preferred by frog species

(Wells 2007, Kohler et al. 2011). In this study, the relatively undisturbed nature of

upland forests also resulted in high abundances in this habitat type.

In the present study, logged forest was generally high in herpetofaunal richness,

possibly due residual microhabitat diversity and the adaptability of some species to

modified habitats. However, P. solomonis, C. zebrata, S. solomonis and S. bignelli,

all species found in unlogged lowland forests were absent in logged lowland forests.

This is supported by Ernst et al. (2006) and Barlow et al. (2007) who found that

logged forests only contained 60% of primary forest species in relation to lizards and

“leaf-litter” frogs. The difference in species composition, abundance and richness

between unlogged lowland and logged lowland forests is significant in this study as

found in other similar studies (Vonesh 2001, Ernst et al. 2006, Thinh et al. 2012).

The strong adaptability of certain herpetofaunal species to habitat disturbance

and degradation may also results in high species richness for logged forests. Ficetola

and De Bernardi (2004) discuss that generalist species which are particularly mobile

are able to adapt and exploit disturbed environments. Generalist frog species such as

Bufo fowleri (Green 2005) and Osteopilus septentrionalis (Meshaka 2005) are known

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to benefit from human altered landscapes (Wells 2007). This seems evident in the

case of the frog Bufo marinus on Malaita.

It is also important to note that specialist species are the ones that are most

affected by logging activities (Thinh et al. 2012), so we would expect to see species

of greater conservation concern strongly impacted. However, intermediate levels of

disturbance can also lead to higher species richness with a high number of both

pioneer and climax species (Connell 1978). Geckos for example seem to favour

disturbed habitats that provide an abundance of artificial shelter and egg-laying sites

(Ineich 2010). This is supported with the presence of all geckos in logged forest

habitat on Malaita.

In the current study, teak plantation forests were generally poor in herpetofaunal

richness and this is most likely due to its modified state and homogeneity. According

to Kanowski et al. (2005) and Barlow et al. (2007) the uniformity of plantations

results in low species richness due to the lack of micro-habitats for herpetofauna.

Another factor is the modification of forests through plantations creates changes in

canopy structure, leaf-litter environment and loss of microhabitats, all necessary for

herpetofauna (Gardner et al. 2007). Therefore, establishment of plantations is

expected to result in a loss of certain forest herpetofaunal species and changes in

forest community assemblages (Hillers et al. 2008). This supports the results of this

study which found that herpetofaunal species such as P. solomonis, P. guppyi, D.

guppyi, B. vertebralis, C. guentheri, C. salomonensis, S. solomonis, E. cyanogaster

and S. bignelli were absent in teak forests as compared to lowland forests. However,

teak forests are not expected to be biologically dead and can have certain

conservation value (Lindenmayer et al. 2003, Carnus et al. 2006, Bremer and Farley

2010), as found in the current study by the presence of an IUCN red-listed species

(C. zebrata).

Deforestation and degradation are the primary causes of species extinctions

worldwide (Morgan 1987, Brooks et al. 2002, Brook et al. 2003, Hanski et al. 2007).

An indirect effect of this deforestation is the expansion and creation of degraded

forests, secondary forests and exotic plantation forests (Gardner et al. 2007, Herrera-

Montes and Brokaw 2010). The formation of these new forest habitat types does not

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suit most amphibians as indicated by the absence or reduction of their presence (Bell

and Donnelly 2006, Gardner et al. 2007) and as seen on Malaita. Both teak plantation

and logged forests demonstrated overall species assemblage change for herpetofauna.

Logged forests displayed a reduction in abundances for eight species and an apparent

loss of four herpetofaunal species. Teak forests displayed a reduction in in

abundances for two species but displayed an apparent loss of nine herpetofaunal

species. Reasons for this may include an increase or decrease in predator-prey

relationships, a decrease or increase in suitable microhabitats plus alterations in the

ecological conditions of the forest such as in temperature and moisture regimes (Bell

and Donnelly 2006, Cushman 2006, Hillers et al. 2008).

5.5 Summary In summary, Malaitan unlogged lowland forests were found to have the highest

herpetofauna species richness but unlogged upland forests had the highest average

species abundance. Coastal forests have relatively low herpetofauna richness and

abundance. Lowland forests have high species richness and moderate species

abundances. Upland forests have moderate species richness and high species

abundances. Logged forests have moderate species richness and moderate species

abundances. Teak forests have relatively low species richness but high species

abundances. There was a significant difference in the richness between forest

habitats types for results based on nocturnal (transect) sampling but not for diurnal

(quadrat) sampling. B. marinus had a significant impact on the abundance of

herpetofauna in degraded habitats. Logging and the formation of teak plantations

have resulted in a net herpetofaunal loss of 3 species for logged forests and 8 species

for teak forests out of a total of 18 species found in unlogged lowland forest.

The “healthiest” habitat type using herpetofauna richness as a bio-indicator is

lowland forest as expected and based on herpetofauna abundance, upland forest also

as expected. The decreased richness evident in the modified habitats of logged forest

and teak plantation forest further signify the impact that habitat degradation has on

biodiversity loss. It is therefore important from a biodiversity conversation

perspective that the degradation of forest habitats be minimized.

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CHAPTER 6: TRADITIONAL KNOWLWEDGE OF

HERPETOFAUNAL BIODIVERSITY AND FORESTS IN

ARE`ARE, MALAITA

6.1 Introduction Traditional knowledge (TK) provides a foundation for successful living in natural

environments; and this knowledge with its beliefs and customs form the ‘glue’ that

creates social cohesiveness and cultural identity (Bennet 2000, Dutfield 2006,

Thaman et al. 2010, FAO 2011). In Melanesia TK and cultural practices have

developed and evolved over time resulting in interactions and relationships with the

environment that are based on qualitative, holistic, oral approaches (Merculieff 2000,

Caillaud et al. 2004, Painemilla et al. 2010). TK is wisdom, knowledge and

information learned through experience, passed on from generation to generation and

used in decision making, planning and the management of biodiversity among other

things that are critical and beneficial to life in subsistence communities (Merculieff

2000). To further highlight TK’s importance Article 8 in the CBD tells contracting

parties to “respect, preserve and maintain” the traditional knowledge, practises and

innovations of local indigenous communities (UN 1992a). The value of TK in

modern societies cannot be overlooked as many of these practises and beliefs may

hold the key to sustainability in the Pacific islands.

Thaman (2002) identifies the loss of traditional knowledge as a major threat to

biodiversity itself and its preservation. He argues that, if the traditional names, uses

and management systems of biodiversity are lost, the impetus for the conservation of

these natural resources at a community level is also lost.

A main element of the focus of this thesis is to marry scientific and traditional

information on the ecology, ethnobiology and conservation status of herpetofauna

and forests on Malaita. This chapter will aim therefore carry out community-based

ethnobiological studies to examine local perceptions, knowledge and cultural uses of

herpetofauna and include perceptions of the conservation status of forests and

associated herpetofauna. Questionnaires on the herpetofaunal species of Malaita

(Appendix A) will then be discussed followed by perceived anthropogenic impacts

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on and uses for the sampled forest habitat types. This chapter will therefore capture a

glimpse of Malaitan TK and classification systems with the added purpose of

documenting the learned observations that have occurred over generations on the

island.

6.2 Specific Methodology Questionnaire surveys followed methods described previously in chapter 3.

Aspects of traditional knowledge for which information was being sought included:

the classification of frogs and lizards and the related uses associated with these

animals and their different forest habitat types. In this context, focus is placed on the

perceptions and knowledge that local people have regarding, skinks and geckos, their

conservation status, forest habitat preferences, and conservation. The questionnaires

were undertaken with the use of a local interpreter as many words and terms were

unfamiliar to the primary researcher.

All informants belonged to the Are’Are dialect and all ten villages (Uwaisiwa,

Swit point, Nahu, Tawaimare, Kopo, Mananawai, Komhauru, Tawaihuro,

Hunanapuru and Ohanimeno) to which the informants belonged were found in the

Tai ward. Informants were taken to quiet locations to be interviewed and interviews

lasted between half an hour to an hour depending of amount of information shared by

the informant. Thirty questionnaires were conducted to cover a sufficient number of

age groups and villages but to allow completion within the study timeframe. The

informants were selected across all age groups. The youngest informant was 16 years

of age and the oldest was 99 years of age. Most age groups had one or two

informants with the age group of 80 to 84 having the highest number of informants at

five.

The questionnaire had two parts; in part 1 questions were formulated to

specifically obtain information on herpetofaunal names, associated uses and

perceived abundance. Part 1 questions were stated as:

� What are the most important different frog and lizard species that you know? What are their names; where are they found; what is their abundance; and have they declined or increased in abundance and reasons for change in

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abundance? What are their associated uses or other stories, tales or information on them?

Part 2 questions identified the important uses of the forests, the current status of

these uses and the perceived impact on local herpetofauna. Only 21 informants

answered part 2 questions as 9 of the older informants were not able to discuss the

“current” uses and trends regarding forests due to their age. It is important to note

that the questions under part two of the questionnaire were aimed at gaining a

general overview of uses in coastal, upland, lowland, logged and plantation forests

and were not an exhaustive description of specific uses. Forest threat values (FTV)

were also calculated based on the sum of uses and the impact level of these said uses

on the forests. The four threat impact levels were: 1) Destroys habitat, 2) degrades

habitat, 3) disturbs habitat and 4) little or no impact To quantitatively compare

between forest habitat types a simple formula (FTV = sum of (uses x use

threat/impact level)) was created to estimate which habitat type is under the greatest

stress or threat from humans. Part 2 questions were stated as:

� What are up to 5 main uses associated with coastal, lowland, upland, logged

and plantation forests? Have there been changes on this use and how do (if

so) these impact frogs and lizards?

6.3 Results All information stated in this section was collected from the questionnaires and

have been summarised according to species and forest type. Section 1 presents the

results for herpetofauna (frogs then the lizards). Section 2 then presents results on

forest types and their associated uses with regards to change in intensity of and

perceived impacts on herpetofauna. Section 3 will then describe a short summary of

the age and gender patterns of informants. Probable scientific classifications were

based on descriptions of species by local informants and matched to species keys.

6.3.1 Herpetofauna

6.3.1.1 Frogs The surveys showed that there is rich and diverse local knowledge with different

local names for taxonomically similar frog species in different sites (Table 6.1). A

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total of 148 frogs were mentioned by informants with a total of 31 distinct names

summarized or grouped into 9 described or identifiable species (Table 6.1).

Table 6.1 Vernacular and likely scientific nomenclature of frogs based on

questionnaire surveys of people from Uwaisiwa, Swit point, Nahu,

Tawaimare, Kopo, Mananawai, Komhauru, Tawaihuro, Hunanapuru and

Ohanimeno villages in Tai Ward Malaita.

Most common

local

vernacular

frog names

Other names

also known as

Frequency of

times mentioned

by informants

x/30

Probable scientific

classification based on

Pikacha et al. (2008). See

also list in Appendix B

Pari 26 Discodeles guppyi

Hahaia haha’a, koe, kii 20 Batrachylodes vertebralis

Oripasu, tarapasu, ma

pau-pasu, pe’u,

oripasu papa,

tara iki

19 Ceratobatrachus guentheri

Otohao otokao,

oripapa

19 Platymantis guppyi

Pina-iki iki-iki 17 Hylarana kreffti

Puroko, ori niaoke 16 Bufo marinus

Ten ten, 16 Hylarana kreffti

Kori-niu 16 Platymantis weberi

Ka`a-ka`a ka'a kaka, koen

mako, ori

6 Platymantis solomonis

Taramena koe rahuta,

nonoto, koe

memea

5 Litoria thesaurensis

Pari (Discodeles guppyi) is a well-known frog. It is the largest native frog found

in the forest, having a dark smooth backside and yellowish underside. Fully grown it

is said to resemble a new-born child and has very long legs giving it the ability to

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jump very far. It is said to make many distinct sounds including a very loud whistling

sound, a barking sound and a sound like the cry of a new-born child.

According to informants, it is common to rare depending on location and is found

close to fresh water systems in inland lowland forests. It can be found along valleys,

beside streams on rocks at night, in thick forested areas and at headwater systems. It

is also able to dive and stay under water for long periods of time.

This species (pari) was an important protein component in bush diets. It was

caught and eaten during feasts, usually cooked by roasting and is said to taste like

freshwater fish. It is usually hunted when it is raining by listening for its call, and the

month of March is said to be the best month to catch this frog. Informants believe

that if a person snaps a twig when encountering this frog, it will render the frog

immobile as it will think that one of its legs has just been broken. A whistle made

from a stick can also be used to find the frog, which responds to the sound made by

the whistle. It is also caught and eaten by dogs and cats.

This species is also a totem to certain tribes and believed to bring fertility to

gardens if found in them (Table 6.2). The consumption of this frog by these tribes is

prohibited. The bones of this frog were also used medicinally to rub against the body

of children to prevent snake and centipede bites.

Hahaia (Batrachylodes vertebralis) also known as haha`a, koe or kii is a small

dark coloured to yellowish frog with red, white and yellow stripes along the back,

with smooth skin and long small legs. It has two distinct calls, a beeping sound and a

soft haa haa sound. It is said to be found in valleys, forests, creeks and swamps, on

trees and on ra leaves and wet areas, in particular upland forests, but is not found on

the ground. It is also known to form aggregations around forest pools in the dead

logs after big rains and is said to lay eggs in bubbles on trees. The best time to

encounter this frog is between 8pm and 12 midnight and it is also known to urinate

when jumping.

This frog was also eaten and can be cooked in bamboo; traditionally, it is an

important food for feasts and when it is presented at a feast, an auapu (important

woman) would eat it to signify that feasting can begin. It is also protected with

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seasonal taboos for harvesting and was such an important food that it could be

bought with pata-ni-hanua (traditional shell money). Folklore regarding the frog is

that if its legs are broken when caught a tree will fall on you in the forest (Table 6.2).

Oripasu (Ceratobatrachus guentheri) also known as tarapasu, ma pau-pasu,

pe`u, oripasu papa and tara-iki is also well-known. This frog is a very distinct

medium-sized species that resembles a leaf, having a “sharp” nose and “sharp”

eyelids. It has rough, camouflaged skin of many colours and patterns, with the

underside usually a paler colour.

“Oripasu” is said to be common to rare depending on habitat type, with greater

abundance in undisturbed upland forests. It is normally found on the ground,

amongst leaf litter in forests and also inside deep holes. It prefers cooler habitats such

as the upland forests and valleys and lays its eggs in damp places on the ground. If

encountered the startled frog will flatten its body against the ground instead of

jumping away and, if handled, will usually inflate its abdomen.

This frog is roasted after being gutted and was an important food for feasts

(Table 6.2). Its bones are known to be used for mato’oha (sorcery) to bring luck and

to increase garden fertility. This frog is also used as a medicine for opa-opo (swollen

stomach) and for bedwetting in children by rubbing against the child’s stomach. Its

urine is also drunk to heal stomach illnesses and its saliva can be used to treat snake

and centipede bites. In a traditional historical story this frog was responsible for

protecting an area in the mountains from being destroyed by black magic, the

evidence is the presence of a distinctive hill, known as Hurakaia, which still juts up

from the middle of the forest.

Otohao (Platymantis guppyi) also known as otokao and oripapa has an elongated

body with smooth skin, its back varies in colour from red, brown to yellow, white

and is also said to have camouflaged patterns. This frog is said to jump high and long

and its abdomen will expand when handled. It is said to be a common arboreal

species and is found in inland forests and swampy, wet areas, on common plants

such as rao (Metroxylon salomonense), ra (Cominsia guppyi), papareo (Asplenium

nidus) and kakake (Cyrtosperma chamissonis).

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This frog was eaten and was roasted in bamboo and was also sold and used for

trade and exchange (Table 6.2). It was commonly hunted using traps made in ra

leaves. March is said to be an important month for catching these frogs and this frog

is also preyed upon by snakes. It is better known for its medicinal use in preventing

bed-wetting in children, which is done by rubbing the frog on the child’s stomach or

making the frog to pee on the child’s head. This frog is also regarded as a koe maea

(tabu frog) and is a totem to certain tribes with its call believed to signal death if

found calling near a house.

Pina-iki (Rana kreffti) also known as iki-iki is well known by locals. It has a

smooth slimy body, striped with black brown on its back, white-yellow on its

underside and has very long legs. It makes a sharp “iki” call and is therefore named

as such. It is a common species found in forested areas close to creeks, pools of

water and swampy, muddy areas. It is said to be found around houses and is

particularly abundant close to pig feeding sites.

This frog was also eaten but some tribes are not allowed to eat them as it is a

totem and can signal death or sickness if it is heard calling or found in the house

(Table 6.2). It was also used to determine the thoughts and feelings of ancestral

spirits.

Puroko (Bufo marinus) or ori-niaoke is the introduced cane toad. This is a

relatively large, “ugly” frog with rough skin and a warty appearance. It is said to be

found everywhere, in all habitats, especially along drains, water pools and in

gardens. It is thought to be increasing in numbers and can be very abundant in

coastal areas where human modification is evident.

According to an informant, “Puroko” was introduced and deliberately spread

throughout the island in the 1940s by a Commissioner Bell and Chief Alick

Nonohimae, primarily to eat insects and kill snakes such as the poisonous ma-

ara`ara (Salomonelaps par). It has poison in its skin which kills snakes. Locally,

around the 1950s a man named Patere Wate introduced it to Rohinari village and to

further show its perceived importance at the time, three men were fined for

accidently killing one at Wairokai village.

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Informants believe that this frog eats termites in houses and also eats human

faeces. It is also said that the Chinese eat this species. Folklore regarding this species

from Nahu village is that it used to have teeth but they were stolen by a shark (Table

6.2).

Ten-ten (Rana kreffti) is also a well-known frog. Two informants said that this frog

resembles the Pina-iki (previous species) but is smaller and the author believes that

both are the same species but ten-ten refers to the smaller vocal males of the species.

This frog is a small to medium-sized, dark brown frog with black stripes on its back,

yellow whitish under parts and a thin abdomen. It is said to be a relatively common

but secretive species and found on the ground close to pools, creeks, still bodies of

water and muddy areas.

There are no reported uses for adults of this species, but the juveniles are used as

fishing bait for catching eels (Table 6.2).

Kori-niu (Platymantis weberi) is a small, very vocal frog named after its

distinctive loud call, sounding like “körii.” It has a dark brown back with rough skin,

a pale coloured underside and an elongated body.

This species is relatively common and is said to be found on the ground in

forests, under dead logs, along waterways and around houses, it is also common in

muddy areas and around pig feeding areas, but prefers upland forests and valleys.

This frog was also eaten (Table 6.2).

Ka`a ka`a (Platymantis solomonis) also known as ka`a kaka, koen mako and ori

is a large frog with long legs and a long jump, but not as big as the pari (D. guppyi)

and has a dark reddish colour. It is relatively uncommon and is said to be found

under stones in inland forested areas close to water such as near streams and rivers

and has a very loud call sounding like its name. It was also eaten and its meat is said

to have a greasy texture (Table 6.2).

Taramena (Litoria thesaurensis) also known as koe rahuta, nonoto and koe

memea is a small usually yellow pale frog, but can have shades of brown, green,

yellow and white with smooth skin that is relatively uncommon. It has big eyes and

round pads on its feet to help grip onto leaves. It is said to be predominately arboreal

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and not too common but can be found on leaves such as the ra (Cominsia guppyi)

and papareo (Asplenium nidus), It is found in coastal areas on rocks and is also

found on large leaves such as those of kakake (Cyrtosperma chamissonis) and around

freshwater pools. It is preyed upon by cats and snakes and is also eaten by humans

(Table 6.2). This species is used to rub against a child’s stomach to help prevent bed-

wetting.

Table 6.2 Summarised associated uses of different frog species as

described by informants U

SES

Food

Trad

e

Tote

m

Med

icin

al

Sorc

ery

Folk

lore

Fish

ing

Local frog names

Pari X X X

Hahaia X X X

Oripasu X X X X X

Otohao X X X X

Pina-iki X X X

Puroko X

Ten-ten X

Kori-niu X

Ka`a-ka`a X

Taramena X X

The following descriptions briefly define the uses stated above;

� “Food” means that this particular species was eaten by humans. With

reference to certain frog species as food the past tense is used as all

respondents claim to no longer be eating these animals, mainly because

most settlements are located in coastal areas now away from the main

frog populations. Frogs were usually cooked by two methods either by

direct roasting on hot coals or steamed in bamboo.

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� “Trade” is the use of frogs (usually cooked) as an item for barter and

exchange, therefore giving the frog monetary value.

� Many frog species are “Totem” animals to certain tribes, informants

always said other tribes and did not reveal the names of the tribes. The

term koe maea when referring to these totem species gives certain powers

that lead to reverence for the particular species. These frogs act as

symbols to local villagers often with a negative connotation such as

foreseeing death for a certain family or household. However, some of

these species can also be viewed in a positive sense such as the promise

of fertility to gardens. Species that are totems would not normally be

eaten if the species was the totem for your tribe and therefore would be

protected and revered by the tribe’s people.

� “Medicinal” use basically refers to the application of the frog or its parts

externally to the sick person to heal them. Common ailments cured with

frogs are of the abdominal or stomach area and these are still being

practised in some parts of Are`Are.

� “Sorcery” refers to the single application of a certain frog’s bones for the

use as good luck charms or to aid in the increase of garden fertility.

� “Folklore” refers to certain cultural stories or myths that are associated

with a particular species.

� “Fishing” refers to the use of a frog specimen for the act of fishing.

6.3.1.2 Lizards The surveys show rich local knowledge that is diverse even in a localised area

with different names for the same scientific species and possibly for different growth

phases, colour forms or sexes. A total of 179 lizard mentions were provided by

informants, with a total of 27 distinct names summarized into 12 described species.

The frequency of times mentioned by informants for these 12 species varied and their

probable scientific classifications were estimated (Table 6.3).

Ikiko asi (Emoia pseudocyanura) also known as iikiko niapa and iikiko

ha`arirato is a small, smooth, light coloured skink with two dark lateral stripes along

its body and a long greenish-blue tail. It is common and found everywhere, along

paths, on tree trunks in the forest, around homes and enjoys basking in direct

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sunlight. It is opportunistically hunted and can be roasted and eaten and is also used

as fishing bait (Table 6.4). Ikiko asi is said to lay 1-2 eggs at a time and is also

medicinally used by young boys to rub against their faces to prevent facial hair

growth.

Table 6.3 Vernacular and likely scientific nomenclature of lizards based

on surveys of people from Uwaisiwa, Swit point, Nahu, Tawaimare, Kopo,

Mananawai, Komhauru, Tawaihuro, Hunanapuru and Ohanimeno villages in

Tai Ward Malaita.

Most common

local vernacular

lizard names

Other names

also known

as

Frequency of

times mentioned

by informants x/30

Probable scientific

classification based on

McCoy (2006)

Ikiko asi iikiko niapa,

iikiko

ha’arirato

29 Emoia pseudocyanura

Unu 25 Corucia zebrata

Paru paru 24 Emoia nigra

Kuma kuma ni-iira,

kuma ni-

ma’asu

21 Gehyra oceanica

Rarani rarahuto,

iikiko raran

17 Cyrtodactylus

salomonensis

Oru oru 17 Eugongylus

albofasciolatus

Kuma-ni-nima 17 Hemidactylus frenatus

Iikiko ota iko warawa 14 Prasinohaema virens

Iikiko mamatoru, iko wapu 13 Sphenomorphus bignelli

Iikiko haho iikiko niasi 6 Emoia atrocostata

Iikiko puru 5 Sphenomorphus

concinnatus

Iko ma 5 Emoia cyanogaster

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Unu (Corucia zebrata) is the largest skink in the forest and can grow to be as

large as an adult’s forearm. It has large eyes and a very long tail which can be used

when climbing. It has a shiny body with visible scales and is usually greenish but can

vary in colour and marking patterns which are usually well camouflaged to match its

surroundings. The unu has very sharp teeth that can give a painful bite and which are

said to protrude out the sides of the mouth when mature. It is a comparatively slow

moving creature and is common to rare depending on forest habitat and is usually

found in tree tops, tree hollows, trees with dense epiphytic growth on trunks and also

in trees close to water ways, favoured plant species include large banyans (Ficus

spp.) and Vitex cofassus trees.

Unu is found in cohabitation with both the native opossum (Phalenges orientalis)

which is regarded as its enemy, and the native lizard rarani (C. salomonensis) which

the unu is said to play tricks on. This animal is hunted and eaten and is said to have

tasty greasy meat (Table 6.4). This was an important source of protein in the past

however is becoming rare and was also used in sacrifices for ancestral worship.

Paru-paru (Emoia nigra) is a large skink with an all-black to brown back that

has a reddish shine with a faded striped pattern; the under parts are a pale yellow. It

is common along footpaths, on dead logs, rubbish heaps and tree trunks in forested

areas and also coconut plantations. The paru-paru enjoys basking in direct sunlight

and is said to lay 1-2 eggs at a time. This species is preyed upon by cats and dogs and

also used as bait for fishing (Table 6.4).

Kuma (Gehyra oceanica) also known as kuma ni-iira or kuma ni-maasu is a

widespread gecko and is well known. This species is a medium-sized, coloured white

to light brown with dark specks and markings and has a fat body and big eyes with

some specimens having a split tail. It is commonly found in lowland and upland

forests, in tree hollows and trees such as the coconut and betel nut palms and also

inside kakake leaves. Kuma is usually found in pairs. It is also found in an around

homes and is known to eat moths and other insects inside houses. If handled the

species has the ability to shed its skin as a defensive mechanism. This gecko can be

eaten and is also used as a good-luck charm (sorcery) in gambling (Table 6.4).

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Rarani (Cyrtodactylus salomonensis) also known as the rarahuto or iikiko

raran. This is a very large lizard (but not as big as the unu) with big protruding eyes

and rough dry skin that can be shed upon contact. It is predominately brown in

colour with a striped pattern likened to an army camouflage design. It is most

commonly found at night in lowland forests on trees and palms such as the sago

palm, tree hollows and around rotting wood though it is rarely encountered. Its most

active times are said to be between 11pm and 1am. The population of this species is

thought to be declining and clearing of land and logging are believed to be

predominant causes. It can also be eaten and was an important animal food for feasts

(Table 6.4). Folklore regarding this species is that disobedient children will often be

frightened by parents, saying that their eyes will turn into the eyes of a rarani if

disobedient. Currently this lizard is valued in Honiara for around SBD$500 for the

exotic pet trade and a few men have devised traps to catch this lizard. Some men also

claim that this lizard has the ability to find gold.

Oru oru (Eugongylus albofasciolatus), named because of the “öru öru öru”

sound that it makes, it is a very large dark coloured ground skink that has lighter

orange coloured patterned stripes across its back as well as visible scales. It is rare,

but found in caves, holes, under dead logs, rocks and rotting rubbish piles in forested

areas. This nocturnally active species is very cryptic and escapes quickly making it

hard to catch. It has sharp teeth and a painful bite which is poisonous and can,

reportedly, be fatal. It is also a totem for some tribes signalling death if encountered

(Table 6.4). Certain evil spirits are believed to take the form of this lizard, causing

childbirth difficulties and insanity in victims. It can also be eaten and is usually

cooked in bamboo.

Kuma-ninima (Hemidactylus frenatus) is a common small introduced whitish,

light-coloured gecko found only in and around houses, especially close to light

sources where it can be seen chasing insects. It was reportedly brought over from

Guadalcanal by ancestors living in Marau and is believed to be good for the home by

keeping insect numbers down.

Iikiko ota (Prasinohaema virens) also known as iko warawa is a small green

skink, which is common on and around palms, such as the betel nut and in bamboo

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thickets. It is difficult to catch and can be used for fishing bait and also be eaten

(Table 6.4). Some specimens are said to have split tails.

Iikiko mamatoru (Sphenomorphus bignelli) also known as iko wapu is a small,

smooth bodied skink that is dark coloured with a reddish sheen. It is found in inland

forests, on the ground, amongst leaf litter, under rocks and dead logs, rubbish piles

and is quiet commonly seen by people when digging mounds when gardening. It is

used for fishing bait (Table 6.4) and is also known to be preyed upon by snakes.

Table 6.4 Summarised associated uses of different lizard species as

described by informants

Use

s

Food

Trad

e

Tote

m

Med

icin

al

Sorc

ery

Folk

lore

Fish

ing

Iikiko asi X X X

Unu X X X

Paru-paru X

Kuma X X

Rarani X X X

Oru-oru X X X

Kuma-ni-nima

Iikiko ota X X

Iikiko mamatoru X

Iikiko haho X X X

Iikiko puru

Iko ma X X

Iikiko haho (Emoia atrocostata) also known as iikiko niasi is a skink with a

greenish grey body with many thin dark stripes across its back. It has a long tail and

is a commonly seen in coastal areas on tree trunks, around houses, and especially on

rocks in the inter-tidal zone. It enjoys basking in the sun, is also used as fishing bait

(Table 6.4) and is preyed upon by cats. It is also a totem and tabu animal for certain

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tribes and was used in traditional sacrifices, nowadays traditional sacrifices are no

longer practised.

Iikiko puru (Sphenomorphus concinnatus) is a small to medium sized lizard with

black to brown shiny skin and a striped pattern on its back with lighter under parts.

This species is fairly common and can be found on walls of houses, in the forests

along footpaths, in the grass and on tree trunks in the mornings. It is also preyed

upon by cats. No mention of human use was provided by informants.

Iko ma (Emoia cyanogaster) is a medium to large sized, yellow- green lizard that

is found climbing along trees and on dead logs in forested areas. It is uncommon and

preyed upon by cats, birds and snakes and can also be eaten by humans (Table 6.4).

Some have double tipped tails and its bones are also used as good-luck charms

(sorcery) in gambling.

6.3.2 Forests The different uses associated with forests by local custodians do not only

influence the physical nature of forests but also strengthens the perceived cultural

value of these rich ecosystems. These custodians have authority over the forests and

its inhabitants, authority which in many cases has been abused. An understanding of

the relationship that local people have with their forests will help in any planning or

prioritisation for any conservation activity. General uses associated with different

habitat types have been compared simply to observe which habitats are most “useful”

to locals. The most “useful” forests can also be regarded as the most threatened and

under greater human related “stress”.

6.3.2.1 Coastal forests A total of 11 different uses were described by informants for coastal forests

(Table 6.5). All of these uses are said to be currently increasing. Coastal plants useful

to the local people include C. inophyllum used for timber, R. taitensis used for

firewood and Pandanus sp. used for making mats and other traditional items. Overall

this forest type is experiencing an increase in human activity with increasing impact

on local herpetofauna and can therefore be classed as the forest habitat type under the

greatest threat from anthropogenic impacts.

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Table 6.5 Coastal forest uses by locals, changes and perceived impact

on herpetofauna, listed in order of number of mentions.

No. Human uses Changes Perceived impact on

herpetofauna/forest

x/21

1 Food gathering Increase No impact 10

2 Harvesting building

materials Increase Disturbs habitat

9

3 Recreation Increase No impact 7

4 Feeding pigs (fenced) Increase Disturbs habitat 6

5 Timber extraction Increase Destroys habitat 5

6 Creating plantations Increase Destroys habitat 4

7 Collecting bush

materials eg. firewood Increase Disturbs habitat

4

8 Creating settlements Increase Destroys habitat and may

accidently kill some species.

2

9 Materials for

traditional items Increase Disturbs habitat

1

10 Hunting Increase Disturbs habitat 1

11 Gardening Increase Degrades habitat 1

6.3.2.2 Lowland forests

A total of 13 different uses were described by informants for lowland forests

(Table 6.6). Most of these uses are said to be currently increasing apart from

traditional worship and other cultural related activities such as traditional burial sites

and the harvesting of materials for cultural items. Hunting is listed as ‘no change’ by

16 out of 21 informants and this is due to the limited number of pigs found in this

forest type, which is the primary target for hunting activities although possums,

pigeons, bats and lizards are also caught. Lowland plants useful to the local people

include V. cofassus and P. pinnata used for timber, M. salomonense and A.

macrocalyx used for thatching, flooring, walling, and C. vittata as food. Overall like

the coastal forest this forest type is experiencing an increase in human activity with

increasing impact on local biodiversity including herpetofauna.

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Table 6.6 Lowland forest uses by locals, changes and perceived impact

on herpetofauna, listed in order of number of mentions.

No. Human uses Changes Perceived impact on

herpetofauna/forest x/21

1 Gardening Increase Degrades habitat and may accidently

kill some species.

13

2 Harvesting

building materials

Increase Disturbs habitat 10

3 Feeding pigs

(fenced)

Increase Disturbs habitat 9

4 Creating

settlements

Increase Destroys habitat 8

5 Creating

plantations

Increase Destroys habitat 5

6 Timber extraction Increase Destroys habitat 5

7 Food gathering Increase Disturbs habitat 5

8 Hunting No

change

Disturbs habitat and some species may

be targeted such as the Unu.

4

9 Traditional

worship

Decrease No impact but some species may be

used as sacrifices

3

10 Materials for

traditional items

No

change

Disturbs habitat 1

11 Collecting of

ornamental plants

Increase Disturbs habitat 1

12 Burial sites Decrease Disturbs habitat 1

13 Collecting water Increase No impact 1

6.3.2.3 Upland forests A total of 11 different uses were described by informants for upland forests

(Table 6.7). Most of these uses are said to be currently decreasing in status apart

from harvesting for building materials, settlement expansion and surveying of land

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which is increasing. Overall this forest type is experiencing a decrease in human

activity that results in a lower impact on local biodiversity including herpetofauna.

Table 6.7 Upland forest uses by locals, changes and perceived impact on

herpetofauna, listed in order of number of mentions.

No. Human uses Changes Perceived impact on

herpetofauna/forest

x/21

1 Hunting Decrease No impact but some species may be

targeted such as the Unu.

16

2 Harvesting building

materials Increase Disturbs habitat

14

3 Feeding pigs

(unfenced) Decrease Disturbs habitat

7

4

Creating

settlements

expansion

Decrease Disturbs habitat

7

5 Gardening Decrease Destroys habitat and may accidently

kill some species.

5

6 Traditional worship Decrease No impact but some species may be

used as sacrifices

5

7 Food gathering Decrease No impact; some species targeted 3

8 Surveying of tribal

land Increase No impact

2

9 Burial sites Decrease No impact; may create habitat for

some species

1

10 Canoe building Decrease Disturbs habitat 1

11 Recreation Decrease No impact 1

6.3.2.4 Logged forests

A total of 8 different uses were described by informants for logged forests (Table

6.8). Most of these uses are said to be currently increasing, particularly gardening.

Food gathering, harvesting of building materials and hunting remain without change,

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this is due to a limited supply of wild foods, building materials and pigs in this

modified habitat type. Overall as with the previously described forests, this forest

type is experiencing an increase in human activity (mostly gardening and plantation

planting) with an increasing impact on local biodiversity including herpetofauna.

Table 6.8 Logged forest uses by locals, changes and perceived impact on

herpetofauna, listed in order of number of mentions.

No. Human uses Changes Perceived impact on

herpetofauna/forest

x/21

1 Gardening Increase Destroys habitat and may accidently

kill some species.

18

2 Creating plantations Increase No impact 7

3 Harvesting building

materials

No

change

Disturbs habitat 3

4 Collecting bush

materials, eg.

firewood

Increase Disturbs habitat 3

5 Food gathering No

change

No impact 3

6 Materials for

traditional items

Decrease Disturbs habitat 2

7 Hunting No

change

No impact but some species may be

targeted such as the Unu.

1

8 Creating settlements Increase Disturbs habitat 1

6.3.2.5 Plantation forests A total of four different uses were described by informants for plantation forests

(Table 6.9). This is the forest type with the least amount of human uses. All of these

uses are currently increasing as most are directly linked to the plantation itself such

as the maintenance and harvesting of the plantation. Overall this forest type is

experiencing an increase in human activity with an increasing impact on local

biodiversity and herpetofauna.

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Table 6.9 Plantation forest uses by locals, changes and perceived impact

on herpetofauna, listed in order of number of mentions.

No. Human uses Changes Perceived impact on

herpetofauna/forest

x/21

1 Maintenance of

Plantation Increase

Disturbs habitat and may

accidently kill some species.

16

2

Collecting and

harvesting plantation

crop

Increase Disturbs and degrades habitat

5

3 Recreation Increase No impact 3

4 Feeding pigs (fenced) Increase Disturbs habitat 2

6.3.2.6 Forest threat value (FTV) As stated by the informants the associated uses described by them for the five

different forest habitat types can be divided into four threat levels namely: 1)

destroys habitat, 2) degrades habitat, 3) disturbs habitat and 4) has little or no impact

(Table 6.10). The uses of greatest concern are those that destroy habitat, are

increasing and are also of a modern, commercial, unsustainable nature, specifically

the creation of plantations and the extraction of timber. Uses that are present and/or

increasing are calculated, with a level 1 impact having a value of 3, level 2 impacts

having a value of 2, level 3 impacts having a value of 1 and level 4 impacts having a

value of 0. Modern, commercial and unsustainable uses will have their value doubled

to signify impacts. Based on the overall calculated forest threat value, coastal forests

(46) have the highest value followed closely by lowland forests (42), third are logged

forests (28) then upland forests (15) and plantation forests (10) have the lowest forest

threat value.

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Table 6.10 Forest threat values calculated from uses described by

informants. P = present and I = increasing. Threat level values are: Level 1 =

3, level 2 = 2, level 3 = 1 and level 4 = 0. Shaded uses reflect modern

commercial unsustainable practises and will be multiplied by 2 to signify

threat impact.

Uses Coastal Lowland Upland Logged Plantation

P I P I P I P I P I

1) Destroys habitat (value = 3)

Creating plantations (x2) 6 6 6 6 6 6

Timber extraction (x2) 6 6 6 6

Creating new settlements 3 3 3 3 3 3 3

2) Degrades habitat (value = 2)

Canoe building 2

Gardening 2 2 2 2 2 2 2

3) Disturbs habitat (value = 1)

Harvesting building materials 1 1 1 1 1

Materials for traditional

items 1 1 1 1

Food gathering 1 1 1 1 1 1

Surveying of tribal land 1 1

Burial sites 1

Feeding pigs 1 1 1 1 1 1 1

Hunting 1 1 1 1 1

Collection of ornamental

plants 1 1

Collecting bush materials eg.

firewood 1 1 1 1

Harvesting plantation crop

(x2) 2 2

Plantation work (x2) 2 2

4) Little or no impact on habitat (value = 0)

Water collection 0 0

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Traditional worship 0 0

Recreation 0 0 0 0

Collection of medicine

Forest threat value

Values 46 42 15 28 10

6.3.3 Informants knowledge of frogs and lizards by age and gender The average number of frogs and lizards described varies across different age and

gender classes (Figure 6.1). The group with the greatest knowledge of frogs was both

the males and females over the age of sixty, both with an average of 6.4 species of

frog mentioned. The group with the highest knowledge regarding lizards was the

males below the age of thirty, with an average of 7.4 species of lizards mentioned.

Figure 6.1 Graph of informant’s age and gender against average number

of frogs and lizards described.

General trends indicate that males are more knowledgeable than females

regarding information on herpetofauna with males having higher averages for all age

classes except above sixty where they are even. Male informants had a combined

average knowledge of 12.5 frogs and lizards per questionnaire whereas females

4.4 5.8 6.4 3.6 5 6.4 7.4 6.6 7 4.6 6.3 6.4 0

1

2

3

4

5

6

7

8

<30 30-60 >60 <30 30-60 >60

Male Female

No.

of S

peci

es

Respondant's Age & Sex Groups

Frogs

Lizards

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averaged 10.8 frogs and lizards per questionnaire. The data therefore indicates that

older the informant the greater the amount of information provided regarding

herpetofauna and that males above the age of sixty have the richest traditional

knowledge regarding herpetofauna. Informants ‘below thirty’ averaged 10 species

descriptions per questionnaire, informants aged ‘thirty to sixty’ averaged 12 species

descriptions per questionnaire and the informants ‘above sixty’ averaged 13 species

descriptions per questionnaire.

6.4 Discussion

6.4.1 Traditional knowledge of herpetofauna A total of 58 distinct herpetofaunal names were recorded from informants and

these were placed into 21 distinguishable species (Appendix B). Associated with the

variety of names were seven categories of traditional use, which is similar to a study

by Lohani (2011) in Nepal that found six categories of traditional uses for 49

animals, including three frogs. There was considerable overlap with Lohani (2011)

with regards to use categories, however Lohani (2011) also mentioned the use of

animals for weather forecasting but did not mention the use of animals in fishing and

trade that were mentioned in the current study. Globally reptiles have been identified

to be traditionally important for medicinal uses (Alves et al. 2008) as recorded for

five species in this study. However there is a lack of published literature on

traditional knowledge in relation to herpetofauna, which further adds to the

importance of the information collected in this current study.

6.4.2 Threatened forest habitats Due to Christianity, education and a desire for participation in a cash economy

people are known to have moved from upland areas to the coast of Malaita (Keesing

1967). This is evident in the abandoned stone wall remnants of settlements located in

upland forests (pers. obs). As found in this study, upland forests have a low level of

human associated threat, due to the distance from the majority of human settlement

areas. The relocation of settlements in coastal areas has also led to an increase in the

access of locals to the coastal and lowland forest habitats (Keesing 1967). Both forest

types have a high record of use by locals which has resulted in a high level of human

associated threats for both forest habitat types.

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6.4.3 Loss of cultural practises and traditional knowledge In this study the forest practices of ‘traditional worship’ and ‘collecting materials

for traditional items’ are decreasing as described by informants. This decrease

indicates a loss of knowledge and culture and is brought about by factors such as: 1)

a decrease in the supply of the traditional materials, 2) a decrease in the importance

and need for these traditional items and 3) a shift in lifestyle toward “modern”

alternatives. Traditional worship is now replaced mainly with Christianity, and this

has also resulted in a decrease in traditional practices (Keesing 1967).

Globally cultural diversity including traditional ecological knowledge (TEK) are

under threat due to a range of related processes including westernisation and a

change in lifestyle (Caillaud et al. 2004, Brosius and Hitchner 2010, Painemilla et al.

2010). As stated by Caillaud et al. (2004) “the survival of traditional knowledge is

vital to ensure sustainable conservation of [natural] resources in Melanesia”.

Therefore traditional knowledge surrounding but not limited to herpetofauna and

forest habitats needs to be preserved to help us achieve sustainable development and

sustainable societies. There is a need for the conservation of both the biodiversity

and its inter-related traditional information.

6.4.4 Loss of traditional knowledge in the younger generation In this study there seems to be a difference of traditional knowledge with the

younger generation (below 30yrs) recording less knowledge than the eldest

generation (above 60yrs). This is also supported by Lohani (2011) and Garcia (2006)

who also found a lack of knowledge with younger people revealing less knowledge

than elder people. The reasons for this include: 1) a decrease of knowledge

transmitting events and interaction between the older and younger generation (Garcia

2006, Lohani 2011); 2) a decrease in availability in wild food plants and animals to

allow interaction; 3) social stigmatization leading to a lack of interest in younger

people; and 4) the attendance in school which limits time for traditional knowledge

acquisition (Garcia 2006, Lohani 2011).

Since it is known that TEK persists, is developed and thrives while in application,

if its application ceases to be practiced the TEK will be lost (Charnley et al. 2007).

Likewise, if the traditional knowledge and practices surrounding herpetofauna cease

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to be practiced and shared this information will also be threatened with extinction.

For example methods for the capture and cooking of frogs will be lost along with

traditional customs and stories associated with individual species.

Additional patterns observed include: that most of the information coming from

older informants and especially from those that have spent a large amount of time

living in the forest habitats. Where the informant grew up or spent their childhood

was important in relation to the knowledge that they had, those that grew up in inland

settlements as opposed to the coast had a higher level of understanding regarding

herpetofauna and forests.

6.5 Summary In summary a total of 58 distinct herpetofaunal names were recorded from

informants and these were placed into 21 distinguishable species, associated with

seven categories of traditional use. Upland forests show the least amount of pressure

from human activities with decreasing intensity for most uses due to an exodus of

settlements to the coast. Therefore due to this weaker threat pressure upland forests

would be a priority for conservation action. Lowland and coastal forests are under

the greatest (and increasing) pressure from locals, this is mainly due to the close

proximity of these habitat types to the human settlement areas. Logged and

plantation forests are also under high pressure but due to their modified state with

limited biological diversity they would not be priority candidates for conservation.

However, it is also important to note that habitats faced with the greatest threats may

also warrant a greater need for conservation actions.

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CHAPTER 7: POTENTIAL PRIORITY HABITATS AND

STRATEGIES FOR FOREST BIODIVERSITY

CONSERVATION

7.1 Introduction Conservation effort needs to be focused due to the limited financial and technical

resources available (Myers et al. 2000, Bottrill et al. 2008, Wilson et al. 2009).

Therefore, there is a pressing need to identify priority areas and strategies for

conservation action (Margules et al. 2002, Wilson et al. 2009).

Conservation prioritisation is the process of identifying conservation priorities

and making recommendations that will provide policy makers and donors with the

necessary information to achieve the shared vision of biodiversity conservation

(Collins and Storfer 2003). Conservation prioritisation is based on a number of inter-

related principles including irreplaceability and vulnerability (Margules et al. 2002,

Wilson et al. 2009). Irreplaceable areas contain unique species and habitats and are

considered a high priority for conservation planning (Margules et al. 2002).

Vulnerability is influenced by: the rarity of, the level of threat faced by, and the

ecological importance of the species or habitats (Fa et al. 2004). Margules et al.

(2002) believes that priority conservation areas should also have two roles, they

should represent the biodiversity of the region and they should separate the

biodiversity from the processes that threaten it.

Effective prioritisation requires sound information on the conservation status of

species and ecosystems, including the vulnerabilities of, and threats to biodiversity

(Beebee and Griffiths 2005, Wilson et al. 2005). Effective prioritisation also requires

the effective combination of scientific methods, community engagement and

traditional knowledge (Collins and Storfer 2003) a method that is being used in this

study.

Key Biodiversity Areas (KBAs) represent global conservation prioritisation as

they are designated areas of high biodiversity-conservation priority based on global

standards and thresholds (Eken et al. 2004, Bass et al. 2011). The overall goal of

KBAs is to apply standardised scientific methods for selecting globally significant

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biodiversity sites for conservation actions (Eken et al. 2004). On a local scale

important forest areas (IFAs) and important herpetofaunal areas (IHAs) once

identified can also be included in the conservation prioritizing process.

Therefore an aim of this study is to identify important forest areas (IFAs) and

important herpetofaunal areas (IHAs) on the island on Malaita that will help us

prioritise conservation efforts at local scales. This chapter will address identification

of potential priority forest habitats and strategies for forest biodiversity conservation

based on the results of previous chapters. It will also discuss different methods of

conservation prioritisation.

7.2 Methods for Prioritisation Singh et al. (2000) collated a list of 17 categories based on 47 global studies

which focused on conservation prioritisation. Of the 17 categories, 4 categories (1)

richness/diversity, 2) important species, 3) socio-cultural and 4) level of threat) were

used in this study to identify conservation priority forest habitats (Table 7.1). The 4

categories were selected because of their relevance to this study and the opportunity

to collect data to be used in these prioritisation categories.

Table 7.1 Summary of four categories for conservation prioritisation used

in this study with descriptions based on Singh et al. (2000)

Categories

used for

conservation

prioritisation

General description

based on Singh et al.

(2000)

Specific description of method used

in the current study

1. Richness

Refers to the number and

density of species in an

area, with the greater

richness the higher

priority.

“Species richness and abundance

value” (SRAV). This category refers

to the total and mean species richness

per transect/quadrat and mean species

abundance per transect/quadrat as

described in Chapter 5 (Figure 5.6

and 5.7).

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2. Important

species

Refers to ecologically,

economically and

symbolically important

species and can also refer

to endemic, threatened

and keystone species.

Areas with more such

species having higher

priority.

“Important species value” (ISV). This

category refers to presence of near-

threatened, rare, totem and indicator

species encountered in each habitat

type. Near-threatened species are

classed as such by the IUCN Red-list

criteria, rare and indicator species are

those defined in Chapter 4 (Table 4.1

and 4.2) while totem species are those

described by local communities in

Chapter 6 (Table 6.2 and 6.4).

3. Socio-cultural

Refers to the non-

economic value of the

site as part of culture,

aesthetics or history and

religion.

“Cultural value” (CV). This category

refers to the perceived importance of

the forest habitat types to local

communities and the general uses

recorded in Chapter 6 (Table 6.5, 6.6,

6.7, 6.8 and 6.9).

4. Level of

threat

Refers to the level and

type of pressures that the

site is under.

“Forest threat value” (FTV). The

threat and the pressure that locals

place on the forests as perceived by

informants. The forest threat value is

calculated based on the informant’s

descriptions of the current status of

the described uses and their impact on

the relevant forest habitat types as per

Chapter 6 (Table 6.10).

A fifth added approach the “combined rank value” (CRV) category will also be

used. It will result in the combination of different prioritisation types so to achieve a

holistic and inclusive approach to prioritisation setting for conservation areas. These

5 categories will then become the “methods” used for conservation prioritisation.

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Under each of the five categories there are sub-categories and each habitat type

will be assigned a value for each sub-category. These values were ranked and points

assigned based on the rank (eg. 1st = 5 points, 2nd = 4 points, 3rd = 3 points, 4th = 2

points and 5th = 1 point). Each category will therefore have a final rank value for

priority conservation habitat based on the sum of the ranks of each sub-category,

with the lowest value having highest priority. This method was created for the

purposes of this study alone and is not based on any other known studies. It is also

important to note that for initial result purposes each category and subsequent sub-

category has equal weighting.

7.3 Results

7.3.1 “Species richness and abundance value” (SRAV) Lowland forest is the highest priority forest habitat type based on the combination

of species richness and species abundance whilst coastal forest is the least important

(Table 7.2). With regards to the ranked sum of the total number of species observed,

mean species richness (nocturnal and diurnal combined) and mean species

abundance (nocturnal and diurnal combined), lowland forest can be said to have the

highest SRAV and therefore be of high conservation priority.

Table 7.2 “Species richness and abundance values”, (total species +

mean species richness and abundance) with higher rank values having

greater conservation priority. (1st = 5 points, 2nd = 4 points, 3rd = 3 points, 4th

= 2 points and 5th = 1 point)

Forest habitat type

Total species (TS)

Mean species richness per transect/quadrat (nocturnal and diurnal combined)

Mean species abundances per transect/quadrat (minus B. marinus)

SRAV value from ranked sum of sub-categories

Coastal 9 = 5th 3.5 = 4th 1.5 = 2nd 5th

(1+2+4) = 7

Lowland 18 = 1st 6.7 = 1st 1.3 = 3rd

1st (5+5+3) =

13

Upland 14 = 3rd 5.4 = 3rd 2.0 = 1st

3rd (3+3+5) =

11

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Logged 15 = 2nd 5.7 = 2nd 1.5 = 2nd

2nd (4+4+4) =

12

Teak plantation 10 = 4th 5.4 = 3rd 2.0 = 1st

4th (2+3+5) =

10

7.3.2 “Important species value” (ISV) Lowland forest is the highest priority based on the combination of important species

value sub-categories, whilst coastal and teak forests are equally least important

(Table 7.3). With regards to the ranked sum of the number of near-threatened

species, number of totem species, number of rare species and number of indicator

species, lowland forest can be said to be a priority to be conserved based on its ISV.

Table 7.3 “Important species values”, (number of “near-threatened”,

“totem”, “rare” and “indicator” species per habitat type) with higher rank

values having greater conservation priority. (1st = 5 points, 2nd = 4 points, 3rd

= 3 points, 4th = 2 points and 5th = 1 point)

Forest habitat type

No. of near-threatened species (NTS)

No. of totem species (TS)

No. of rare species (RS)

No. of indicator species (IS)

ISV value from ranked sum of sub-categories

Coastal 0 = 3rd 3 = 2nd 1 = 3rd 0 = 4th 4th

(3+4+3+2) = 12 Lowland 2 = 1st 5 = 1st 2 = 2nd 3 = 1st 1st

(5+5+4+5) = 19 Upland 0 = 3rd 3 = 2nd 3 = 1st 1 = 3rd 3rd

(3+4+5+3) = 15 Logged 1 = 2nd 3 = 2nd 1 = 3rd 2 = 2nd 2nd

(4+4+3+4) = 15 Teak plantation 1 = 2nd 1 = 3rd 1 =3rd 0 = 4th 4th

(4+3+3+2) = 12

7.3.3 “Cultural value” (CV) Lowland forests are the highest priority and have the highest CV based on general

uses of the forest as described by participants, whilst coastal and upland forests are

also a priority (Table 7.4).

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Table 7.4 “Cultural values”, (number of general uses described by locals)

with higher values having greater conservation priority. (1st = 5 points, 2nd = 4

points, 3rd = 3 points, 4th = 2 points and 5th = 1 point)

Forest habitat type General uses CV value from ranked sum of sub-categories

Coastal 11 =2nd 2nd (4) Lowland 13 = 1st 1st (5) Upland 11 = 2nd 2nd (4) Logged 8 = 3rd 3rd (3) Teak plantation 4 = 4th 4th (2)

7.3.4 “Forest threat value” (FTV) Coastal and lowland forests are the highest priority with the highest FTV, based on

the perceived impacts that the general uses have on the forests described by

participants (Table 7.5). These FTVs incorporate the current status, impact on the

environment and the scale of the activities/uses into the analysis.

Table 7.5 “Forest threat values”, with higher values having greater

conservation priority. (1st = 5 points, 2nd = 4 points, 3rd = 3 points, 4th = 2

points and 5th = 1 point)

Forest habitat type

Forest threat values (FTV)

FTV rank from ranked sum of sub-categories

Coastal 46 = 1st 1st (5) Lowland 42 = 2nd 2nd (4) Upland 15 = 4th 4th (2) Logged 28 = 3rd 3rd (3) Teak plantation 10 = 5th 5th (1)

7.3.5 “Combined rank value” (CRV) A combined rank value was determined by adding the SRAV, ISV, CV and FTV

values. Combination of these values results in a final priority rank that clearly

indicates lowland forests as the highest conservation priority (Table 7.6).

A visual representation of all priority methods shows that lowland forests are

consistently of a high priority with all methods (Figure 7.1). Lowland forests score

first in all but one prioritisation method making it clearly the forest type of highest

conservation priority. Logged forest even with its evidently modified state is still of

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high conservation priority with high SRAV and ISV and rates as the second forest of

highest conservation priority. Coastal forests are third equal in conservation priority

ranking first for FTV. Upland forests are also third equal with a high SRAV value.

Teak plantation forests are of the least priority for biodiversity conservation and have

low values for all prioritisation methods.

Table 7.6 “Combined rank value”, the combination of the four category

values for conservation prioritisation. “Species richness and abundance

values”, “important species values”, “cultural values” and “forest threat

values”. (1st = 5 points, 2nd = 4 points, 3rd = 3 points, 4th = 2 points and 5th = 1

point)

Forest habitat type SRAV ISV CV FTV

Combined Rank Value (CRV)

Coastal 5th 3rd 2nd 1st (1+3+4+5=13) 3rd

Lowland 1st 1st 1st 2nd (5+5+5+4= 19) 1st

Upland 3rd 2nd 2nd 4th (3+4+4+2= 13) 3rd

Logged 2nd 2nd 3rd 3rd (4+4+3+3= 14) 2nd

Teak plantation 4th 3rd 4th 5th (2+3+2+1= 8) 4th

Figure 7.1 Graphic representation of priority habitat types based on Table

7.6 (the darker shade has the higher priority)

Coastal

Lowland

Upland

Logged

Teak

SRAV

Coastal

Lowland

Upland

Logged

Teak

ISV

Coastal

Lowland

Upland

Logged

Teak

CV

Coastal

Lowland

Upland

Logged

Teak

FTV

Coastal

Lowland

Upland

Logged

Teak

CRV

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7.4 Discussion

7.4.1 Species richness and abundance In this study the use of “species richness and abundance” to identify values of

conservation priority has been useful. The use of species richness for habitat

biodiversity comparison is very popular (Heinen 1992, Kerr 1997, Gascon et al.

1999, Vonesh 2001, Darwall and Vie 2005, Gillespie et al. 2005, Burgess et al. 2006,

Gardner et al. 2007, Uehara-Prado et al. 2007, D'Cruze and Kumar 2011), however

not so for abundance. The current study found that based on species richness,

unlogged lowland forest is the priority habitat for conservation. This result is

supported by Gardner et al. (2007) who found high species richness in similar

“primary” forest. However it is contradictory to Vonesh (2001) in Uganda, who

found greater species richness in “logged” forests. In addition, based on species

richness Gascon et al. (1999) found a significant difference between sampled forest

habitats, whereas Uehara-Prado et al. (2007) found no difference between forest

habitats. Therefore it is safe to say that species richness alone is not generally a

useful tool for conservation prioritisation because of its variable responses and

exclusion of biologically important areas that are species poor (Kerr 1997, Eken et

al. 2004).

7.4.2 Important species In the current study the use of “important species” to identify values of

conservation priority has been useful. Previous studies of conservation prioritisation

based on the IUCN Red Listed species (Eken et al. 2004, Darwall and Vie 2005,

Pleguezuelosa et al. 2010) and indicator or keystone species (Darwall and Vie 2005)

are common however the use of “culturally important” species as defined by Lohani

(2011) is not so common. The current study has utilized all three individual species

sub-categories (red-list, indicator and culturally important species) to identify

lowland forest as the priority conservation habitat. “Important species” when

combined with other criteria has therefore been shown to be especially useful for

conservation prioritisation as also indicated by Eken et al. (2004) and Darwall and

Vie (2005).

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7.4.3 Culture In this study the use of “culture” to identify values of conservation priority has

been beneficial. The use of cultural, traditional or social values for conservation

management and planning is infrequently found however it is also increasing as

shown by the studies of Pedroso-Junior and Sato (2005), Chazdon et al. (2009),

Raymond et al. (2009) and Bryan et al. (2011). The current study found that based

on cultural values alone, unlogged lowland forest is the priority habitat for

conservation (Figure 7.1). Since locals maintain strong ties with their surrounding

biodiversity, their associated knowledge of the biodiversity is vital for conservation

planning and prioritisation. The importance of using cultural values is also supported

by the previous studies of Pedroso-Junior and Sato (2005) and Painemilla et al.

(2010). However care must be taken with the use of cultural knowledge as shown by

Bryan et al. (2011) working in Australia who found a negative correlation between

social values of areas as defined by locals and the corresponding ecological values.

7.4.4 Forest threat The use of threats or the vulnerability of an area is commonly used in

conservation prioritisation (Reyers 2004, Wilson et al. 2005, Brooks et al. 2006,

Burgess et al. 2006, Cannon et al. 2007). The current study found that based on

human threats to the forest the most vulnerable habitat type and therefore a priority

conservation area is unlogged, coastal forest. In contrast, Cannon et al. (2007) found

that lowland forests on alluvial soils to be under the most threat on Sulawesi,

Indonesia and Burgess et al. (2006) found the mountainous regions on the African

continent to be the most vulnerable. Site accessibility and close human habitation are

two highly influential factors to the forest’s vulnerability (Burgess et al. 2006,

Cannon et al. 2007), as is the case of coastal forests in this study. It is important to

note that there are additional threats to forest habitats that locals may not know

about, such as invasive species and global climate change.

7.4.5 Combined In this study the use of a “combined value” to identify forest conservation

priority areas has been invaluable. The use of combined values for habitat

biodiversity comparison is relatively common and strongly recommended (Eken et

al. 2004, Burgess et al. 2006, Chazdon et al. 2009). For example, some studies

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combined a measure of irreplaceability (e.g. endemic species) and vulnerability (e.g.

threats) see Reyers (2004) and Burgess et al. (2006). Some studies combined

scientific and local knowledge (Raymond et al. 2009, Raymond et al. 2010) while

Wilson (2009) recommends that prioritisation decisions should include data on

biodiversity, threat and cost. This study found that based on a combined rank value

from species richness and abundance, important species, cultural values and forest

vulnerability, unlogged lowland forest is the overall priority habitat for conservation.

Similarly, Burgess et al. (2006) used the integration of biological values and threats

for the entire continent of Africa and found lowland and montane forests as

conservation priorities due to their globally significant biological values and high

threats. The advantage of the combined values method is that it is more inclusive of a

wide variety of inputs from science and society resulting in a more holistic approach.

A final result that stood out was that logged lowland forest emerged as being the

second highest forest conservation priority. According to Gardner et al. (2007),

Herrera-Montes and Brokaw (2010) and Gibson et al. (2011) logged or secondary

forests do not provide an adequate substitute for primary forests, however some

species may find these modified habitats favourable and therefore provide a valuable

contribution to forest conservation

7.6 Conclusion Based on species richness and abundance, important species, cultural values and

forest threats, lowland forests are the priority forest conservation habitat on Malaita.

Logged forest is also of significant conservation value even in its disturbed state and

also presents an additional opportunity for direct conservation action.

The current study has shown that it is possible to combine conservation biology

science and traditional ecological knowledge to address the present conservation

challenges in the Solomon Islands. With the baseline data provided here, the people

of Malaita will have a vital starting point for discussion of future conservation action

and steps that need to be taken.

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CHAPTER 8: OVERALL SUMMARY OF

RECOMMENDATIONS FOR FUTURE CONSERVATION

WORK ON MALAITA

8.1 Introduction The overall aim of this study was to identify priority forest conservation habitats

on the island of Malaita using a combination of scientific and ethnological methods.

The objectives included: 1) determining the abundance and richness of the Malaitan

herpetofauna (frogs, geckos and skinks). 2) Defining the relationships between

herpetofaunal occurrences, forest habitat type and forest habitat degradation. 3)

Examining local perceptions on herpetofauna and forests and 4) identifying priority

conservation forest habitats.

The methods used in this study were field surveys and questionnaires. Field

surveys consisted of 40 days (and nights) sampling transects and quadrats in 5

different forest habitat types (coastal, lowland, upland, logged and teak plantation).

Thirty individual questionnaires were completed in 10 villages on Malaita in close

proximity to the forest study sites. Forest habitat prioritisation for conservation was

then determined based on five values calculated from information gathered through

the field surveys and questionnaires.

8.2 Important Recommendations for Future Conservation work on Malaita based on Literature

Areas that should be prioritized are those with high species richness and diversity

especially across different taxa, areas such as biogeographic crossroads where

intersections of dominant habitat types create such areas (Spector 2002). The

Solomon Islands lie at a biogeographic crossroads between the continental biota of

Malesia or Australasia and the isolated, mostly oceanic, islands of the Pacific. No

other primarily oceanic archipelago is considered to have a greater proportion of the

planets living biodiversity, with exceptional patterns of endemism and richness also

in culture and way of life (Filardi et al. 2007). Tropical regions are particularly

vulnerable and their rich biodiversity and ever increasing threats make them a high

priority for conservation effort (Gascon et al. 2004).

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8.2.1 The importance of culture Conservation is about people, our ability to address and deal with social, cultural

and community issues and link this with the needs of biodiversity (SPBCP 2001,

Chan et al. 2007, Brodie et al. 2013). Conservation assessments therefore need to

incorporate cultural, social, economic and political factors (Gascon et al. 2004,

Knight and Cowling 2007, Wilson et al. 2009, Tengberg et al. 2012). In order for

conservation to achieve any degree of success, the local communities who “own” the

biodiversity need to be able to make informed decisions about the sustainability and

use of their natural resources (Pough et al. 1998, Schwartzman et al. 2000, Read

2002, Danielsen et al. 2009, Game et al. 2011). The conservation agenda and

implementation plan must be set by these local groups (Smith et al. 2009) and

planned and managed in its own individual context (Brosius and Hitchner 2010).

To truly understand the relationship between culture and nature, conservation

biology and Traditional Ecological Knowledge (TEK) must be combined (Drew and

Henne 2006). A partnership between science and law both traditional and modern is

needed where the government can recognize and re-empower traditional laws and

management systems (see Sulu in Caillaud 2004), as many of these traditional

mechanisms now are no longer effective or respected (Bennet 2000, Crocombe

2001).

8.2.2 The importance of conservation science For conservation problems to be answered effectively, a clear definition of goals

and the identification of actions and their likely costs and benefits needs to be made

(Wilson et al. 2009). An overall goal of biodiversity conservation should be the

“long-term survival of species and inter-related natural processes whilst excluding

their threats” (Margules and Pressey 2000). Data on species and threats, costs and

benefits is needed, and the success of conservation action depends on the quantity

and quality of the data used to plan and design it (Kati et al. 2004). Therefore to get

good data, good quality monitoring and research is vitally needed to contribute to

effective decision making in conservation and resource management (Danielsen et al.

2009).

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8.2.3 The importance of policy Though scientific research is important to help us understand biodiversity

declines, the power to really address and reverse biodiversity degradation lies with

politics, legislation and community socioeconomics (Beebee and Griffiths 2005).

There seems to be a significant lack of recognition from policy makers and leaders of

the importance of the environment and biodiversity, its hugely threatened state and

the need for immediate action (PHCG 2008). Consequently, there is an urgent need

for greater partnership and collaboration between governments, NGOs and local

communities (SPBCP 2001).

Globally, there is an acknowledged research-implementation gap in conservation

science (Knight et al. 2008). Prioritisation is about being efficient but without

implementation such activities become totally inefficient (Game et al. 2011).

Successful implementation of conservation policies depends on education,

awareness, political will, committed and knowledgeable leadership, community

aspirations, social and economic capacity and scientific understanding blended with

cultural and political institutions (Kingsford et al. 2009, Gough et al. 2010).

8.3 Important Recommendations for Conservation work on Malaita based on this Study

It is a core aspect of this study to integrate both the biological and cultural values

of forests and herpetofauna for conservation decision making. Therefore, any

resulting conservation action must result in the preservation of both biological

diversity and cultural diversity. Conservation prioritisation must be a process that

includes all stakeholders at all levels.

Research findings and environmental conservation knowledge must be made

available and user-friendly to locals. It is important to communicate in values and

units that are understood by local resource owners for example, the unit of habitat

type may be less understood than traditional land boundaries and units of tribal lands.

It is also important to communicate in a language that is understood by all locals, this

will substantially strengthen the chances of common understanding and common

expectations. To be successful conservation must be driven by locals and cannot be

seen as being imposed from the outside. Locals must have a complete knowledge of

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125

costs and benefits of any conservation actions in order to remove any

misconceptions.

However, collaboration is important and external stakeholders including

government, NGO’s and possible financial and technical institutions can be engaged

to improve conservation effectiveness. Training, capacity building and knowledge

sharing with locals are of utmost importance. It is therefore essential to include

landowners in biodiversity monitoring, this will help to ensure the long-term

sustainability of conservation projects and also result in knowledge sharing between

locals and any external stakeholders.

Malaita is an island with a high human population, density and birth rate that in

turn creates a greater threat on the island’s biodiversity. The `Are`Are region, the

focus of this study was found to be a priority for conservation action, the results

however can be translated for the rest of Malaita island. `Are`Are also holds some of

the last remaining “untouched” forests of Malaita and offer a great opportunity for

conservation work. Also fit for mention are the Kwaio and Kwarae highlands of

Malaita that house the highest mountains and only montane forests of the island.

8.4 Conclusion Achieved in this study was a greater understanding of herpetofaunal incidence

on the island of Malaita. Also important was the documenting of traditional

knowledge and understanding the threats to and importance of traditional knowledge

to local communities and the conservation story. Unlogged lowland was identified as

the priority conservation forest habitat type. Not achieved in this study was any

actual conservation action or outcome.

To identify unlogged lowland forests as the priority conservation habitat type on

Malaita is only the first step. Beyond this step is the actual development and

implementation of conservation actions. Recommended principles for conservation

action include the importance of culture, science and policy for successful outcomes.

A holistic approach to conservation action by including scientific knowledge and

methods with cultural knowledge and practices is vital. A realistic collaborative

partnership between government, non-government stakeholders and resource owners

is therefore essential.

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Appendix A: Ethnological Questionnaire

Questionnaire to determine local community perceptions and knowledge regarding frogs, skinks and geckos (herpetofauna) and their local forest habitats

No.:____ Name: _____________________________________

Age: __________ Gender: _______

Village:__________________ Date:_________

Time:________ Interviewer: __________

� What are the most important different frog (Ko`e) species that you know? What are their names; where are they found; what is their abundance; and have they declined or increased in abundance and reasons for change in abundance? What are their associated uses or other stories, tales or information on them?

1. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:_________________________________________________________________________________________________________________________________________________.

2. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

3. , Description:_______________________________________________.

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Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

4. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

5. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

6. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

7. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease

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_and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

8. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

9. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

10. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

� What are the most important different lizard (gecko (kuma) and skink (iikiko, unu)) species that you know? What are their names; where are they found; what is their abundance; and have they declined or increased in abundance and reasons for change in abundance? What are their associated uses or other stories, tales or information on them?

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1. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

2. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:_________________________________________________________________________________________________________________________________________________.

3. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

4. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:_________________________________________________________________________________________________________________________________________________.

5. , Description:_______________________________________________.

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Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

6. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

7. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

8. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

9. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease

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_and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

10. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

11. , Description:_______________________________________________. Habitat/place found: ____________. Abundance: C U R . Change in abundance: _No Change, Increase, Decrease _and reasons: _______________________________________ Uses and other information:__________________________________________________________________________________________________________________________________________________.

� What are up to 5 main uses associated with Primary (Wapu) Upland Forests (eg. Ohumae)?? Have there been changes on this use and how do (if so) these impact frogs and lizards??

1. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

2. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

3. _______________Changes:___ No, Dec, Inc, Impacts on herps :

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________________________________

4. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

5. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

� What are up to 5 main uses associated with Primary Lowland (Oote) forest (eg. Houhou)?? Have there been changes on this use and how do (if so) these impact frogs and lizards??

1. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

2. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

3. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

4. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

5. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

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� What are up to 5 main uses associated with Secondary/Logged (Aru) forest (eg. Aimera)?? Have there been changes on this use and how do (if so) these impact frogs and lizards??

1. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

2. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

3. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

4. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

5. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

� What are up to 5 main uses associated with Plantation forests (bariki/farm) (eg. Teak)?? Have there been changes on this use and how do (if so) these impact frogs and lizards??

1. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

2. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

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3. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

4. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

5. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

1. What are up to 5 main uses associated with Coastal (Haho) forest (eg. Rapi roto)?? Have there been changes on this use and how do (if so) these impact frogs and lizards??

1. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

2. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

3. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

4. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

5. _______________Changes:___ No, Dec, Inc, Impacts on herps : ________________________________

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Appendix B: Species Descriptions with Field Photographs All photographs were taken on Malaita in the Solomon Islands by Edgar Pollard

in situ.

Frogs

1) Batrachylodes vertebralis Boulenger, 1887 Batrachylodes vertebralis is a small frog with males reaching 28 mm Snout-Vent

Length (SVL) and females 30 mm SVL (Pikacha et al. 2008). The back is a grey,

brownish, cream to tan, a dark band runs along the side of the head from the snout

and there are usually dark specks or markings on its back. Occasionally a thin white

stripe can be observed down the middle of the back and the hind legs have light

transverse bands, the underside is yellowish to white (Pikacha et al. 2008). This

species has been recorded on Choiseul, New Georgia, Isabel, Malaita, Guadalcanal,

Ugi and Santa Ana in the Solomon Islands and is a native and endemic to the

Solomon’s bio-region including Bougainville (Pikacha et al. 2008). It is found in low

to mid altitude forests, degraded forests and plantations, males are usually found

calling in elevated, sheltered positions (Pikacha et al. 2008). This frog is common

with a stable, large population that is widely distributed with a tolerance for a range

of habitats and is

therefore listed as

a species of Least

Concern by IUCN

(2012). This

species may be

threatened by

clear-cutting such

as logging and

also by invasive

species (IUCN

2012).

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2) Bufo marinus Linnaeus, 1758 Bufo marinus is a large introduced frog with males reaching 110 mm and females

250 mm SVL (Pikacha et al. 2008). The back is a pale brown/olive, there are usually

large warts and dark marks with markings more visible in juveniles and the underside

is yellowish to white (Pikacha et al. 2008). This species originates from Central

America but is found on most major islands of the Solomon Islands including

Choiseul, New Georgia, Kolombangara, Guadalcanal, Makira and Banika (Pikacha et

al. 2008).This frog is also listed on the Global Invasive Species Database in the top

100 worst invasive species (GISD 2013).This frog adapts well to almost all habitats

from urban areas, agricultural areas and coastal to upland forests, although road and

track edges are preferred as it does not climb and thus dense vegetation hinders

movement (Pikacha et al. 2008).

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3) Ceratobatrachus guentheri Boulenger, 1887 Ceratobatrachus guentheri is a medium sized frog with males reaching 65 mm

and females 80 mm (Pikacha et al. 2008). It has a unique triangular-shaped head with

pointed triangular skin flaps on the upper eyelids, snout, limbs and jaws. Coloration

in this species is extremely variable ranging from bright yellow/orange to light/dark

brown with variable spots and markings; the underside is a pale brown (Pikacha et al.

2008). This species has been found on all major islands in the Solomon Islands

except for Makira and is a native and endemic to the Solomon’s bio-region including

Bougainville (Pikacha et al. 2008). It is found on the forest floor in low to mid-

altitude forests, degraded forests and plantations (Pikacha et al. 2008). This frog is

common with a stable, large population that is widely distributed and with a

tolerance for habitat modification. It is therefore listed as a species of “Least

Concern” by IUCN (2012). However, this species may be threatened by live export

for the foreign pet trade, collection for food and logging (IUCN 2012).

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4) Discodeles guppyi Boulenger, 1887 Discodeles guppyi is a large frog with males reaching 110 mm and females 250

mm (Pikacha et al. 2008). It is reddish to blackish brown with darker splotches, the

throat, belly is whitish to yellowish, and the lips can have distinct transverse bands

present. It is found on all major islands in the Solomon Islands except for Makira and

is a native and endemic to the Solomon’s bio-region including Bougainville. It is

found along streams and small rivers in lowland forests, degraded forests and

occasionally in caves, males are usually found calling beside waterfalls at night

(Pikacha et al. 2008). This frog is common with a stable, large population that is

widely distributed with tolerance for habitat modification and is therefore listed as a

species of “Least Concern” by IUCN (2012). This species may be threatened by live

exporting for the pet trade, collection for food and logging (IUCN 2012).

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5) Platymantis guppyi Boulenger, 1887 Platymantis guppyi is a medium-sized frog with males reaching 75 mm and

females 90 mm (Pikacha et al. 2008). The back ranges from yellowish to darker

brown usually with darker spots or markings, the hind legs have faint but distinct

transverse bands. It is found on all major islands in the Solomon Islands and is a

native and endemic to the Solomon’s bio-region including Bougainville. It is found

in closed canopy and old-growth forests and is arboreal, preferring trees 2-20 m

above the ground (Pikacha et al. 2008). This frog is common with a stable, large

population that is widely distributed with a tolerance for habitat modification and is

therefore listed as a species of “Least Concern” by IUCN, although it may be

threatened by logging (IUCN 2012) and plantation forest (teak) development.

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6) Platymantis solomonis Boulenger, 1884 Platymantis solomonis is a medium-sized frog with males reaching 56 mm and

females 71 mm (Pikacha et al. 2008). The back is reddish to dark brown with darker

splotches, the hind limbs have dark transverse bands and the underside is whitish to

cream (Pikacha et al. 2008). It is found on all major islands in the Solomon Islands

except for Makira and is a native and endemic to the Solomon’s bio-region including

Bougainville (Pikacha et al. 2008) and found in low to mid altitude forests, degraded

forests, coconut plantations and rural gardens (Pikacha et al. 2008). This frog is

common with a stable, large population that is widely distributed with a strong

tolerance for habitat modification and is therefore listed as a species of “Least

Concern” by IUCN (2012). However on Malaita it was found that this species was

only found in the less modified habitats of lowland and upland forests (pers. obs).

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7) Platymantis weberi Schmidt, 1932 Platymantis weberi is a medium sized frog with males reaching 35 mm and

females 56 mm. The back is dark reddish to dark brown with red stripes common

where the back meets the side of the body, the hind limbs have dark transverse bands

and the underside is whitish to cream. It is found on all major islands in the Solomon

Islands except for Makira and is a native and endemic to the Solomon’s bio-region

including Bougainville. It is found in low to mid altitude forests, degraded forests,

and plantations, and males are usually found calling in elevated, sheltered positions

(Pikacha et al. 2008). This frog is common with a stable, large population that is

widely distributed with a strong tolerance for habitat modification and is therefore

listed as a species of Least Concern by IUCN (2012).

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8) Rana kreffti Boulenger, 1884 Rana kreffti is a medium-sized frog with males reaching 52 mm and females 82

mm. The back is mid to dark brown with no dark splotches, a black band runs along

the side of the body from snout through eye towards the hind limbs, the underside is

creamy yellow to white (Pikacha et al. 2008). It is found on all major islands in the

Solomon Islands and is a native and endemic to the Solomon’s bio-region including

Bougainville (Pikacha et al. 2008) in low- to mid-elevation forests, degraded forests,

plantations, grasslands and swamps. It lays eggs in small pools (Pikacha et al. 2008).

This frog is common with a stable population and is listed as a species of Least

Concern by IUCN (2012).

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Lizards (Geckos)

1) Cyrtodactylus salomonensis Rösler, Richards & Günther, 2007

Cyrtodactylus salomonensis is a large gecko with an average SVL of 130 mm.

Dorsal coloration is light yellowish brown to medium dark brown with dark broad

cross-bands, ventrally it is grey to yellowish white. When nocturnally active a third

to a half of the tail becomes white (McCoy 2006). This species is endemic to the

Solomon Islands (Rosler et al. 2007) and has been recorded in the Shortland Islands,

New Georgia, Isabel, Guadalcanal, and Malaita (McCoy 2006). This arboreal gecko

is found mostly on the larger forest trees especially preferring hollows and Ficus spp.

(McCoy 2006). It has been assessed and listed as “Near Threatened” on the red list

(IUCN 2012).

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2) Gehyra oceanica Lesson, 1830 Gehyra oceanica is a native medium sized gecko with an average SVL of 90 mm

(McCoy 2006). Dorsal coloration is light to dark brown with irregular lighter and

darker flecks; ventrally it is cream to yellow (McCoy 2006).It is a widely dispersed

species throughout the Pacific Islands and the Indo-Australian archipelago. In the

Solomon’s It has been recorded on the islands of Shorthand’s, Mono, Choiseul, Rob

Roy, New Georgia, Tetepare, Vangunu, Isabel, Guadalcanal, Tulagi, Ngela, Malaita

Ontong Java, Makira, Ugi, Olu Malau, Bellona, Santa Cruz, Taumako, Reef Islands

and Utupua where it is found mainly on larger trees especially preferring coconut

and sago palms and sometimes found around homes (McCoy 2006). This gecko was

naturally dispersed to the Pacific islands before human arrival and has adapted an

ecology and reproductive biology to support its ability for cross ocean dispersal

(Fisher 1997). This may also be applicable to other native lizards in the Pacific

region. The IUCN assessment for this species is “Least Concern” (IUCN 2012).

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3) Nactus multicarinatus Günther, 1872 Nactus multicarinatus is a bisexual, small to medium-sized gecko with an

average SVL of 60 mm. Dorsal coloration in this species is grey-brown with darker

wavy transverse bands, ventrally it is cream to yellow (McCoy 2006). It is a native to

Vanuatu and the Solomon’s bio-region including Bougainville. It is found on all

major islands in the Solomon Islands, mostly on the ground but also on tree trunks in

forests, plantations, gardens and urban areas (McCoy 2006). This gecko is common

with a stable, large population that is widely distributed with a tolerance for habitat

modification and is therefore listed as a species of “Least Concern” by IUCN,

although it may be threatened by invasive species (IUCN 2012).

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Lizards (Skinks)

1) Corucia zebrata (Gray, 1856)

Corucia zebrata is a very large sized native skink, probably the largest in the

world (McCoy 2006) and has an average SVL of 350 mm. Its dorsal coloration is

highly variable ranging from olive green, grey-green to khaki with lighter and darker

flecks present; ventrally it is yellow-green to grey-green (McCoy 2006). This

species is endemic to the Solomon Islands archipelago including Bougainville and

has been recorded on the Shorthand’s Islands, Vella Lavella, Choiseul, New Georgia,

Tetepare, Vangunu, Isabel, Guadalcanal, Ngela, Malaita, Makira, Ugi and Santa Ana.

It is a nocturnal, arboreal skink, which is found mostly on the larger forest trees

amongst dense foliage especially preferring hollows and Ficus spp. with mean home

range sizes of around 0.17ha (McCoy 2006, Hagen and Bull 2011). The IUCN

assessment for this species is “Near Threatened” (IUCN 2012).

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2) Prasinohaema virens Boulenger, 1883 Prasinohaema virens is a small native skink with an average SVL of 50 mm.

Dorsal coloration is pale green to light olive green; ventrally it is bright yellow to

yellow-green (McCoy 2006). This diurnal skink is found in PNG and the Solomon’s,

in the Solomon’s it is very widespread and has been recorded on the Shortland

Islands, Mono, Choiseul, Vella Lavella, New Georgia, Tetepare, Vangunu, Isabel,

Guadalcanal, Ngela, Malaita, Ontong Java, Makira, Ugi, Olu Malau, Santa Ana,

Santa Cruz, Vanikoro, Taumako, Utupua, Tikopia and the Reef Islands, where it is a

totally arboreal forest dweller preferring trees with vines and creepers (McCoy

2006). The IUCN assessment for this species is Least Concern (IUCN 2012).

No picture was taken of this species due to low encounters because of arboreal

nature.

3) Emoia atrocostata freycineti Duméril & Bibron, 1839 Emoia atrocostata freycineti is a medium sized native skink with an average SVL

of 75 mm. Its dorsal coloration is grey to grey-green to black with lighter flecks that

appear to form transverse bands; ventrally it is white with greenish hue (McCoy

2006). This sub-species is widespread throughout the Solomon’s and is also found in

Vanuatu. It has been recorded on the Shortland Islands, Mono, Choiseul, Rob Roy,

Vella Lavella, Ranongga, Gizo, Kolombangara, New Georgia, Tetepare, Vangunu,

Isabel, Russell Islands, Guadalcanal, Ngela, Malaita, Ontong Java, Makira, Ugi, Olu

Malau, Rennell, Bellona, Santa Cruz, Vanikoro and the Reef Islands where it is a

common active diurnal skink found in coastal areas and rocky foreshores (McCoy

2006). The IUCN assessment for this species is “Least Concern” (IUCN 2012).

No picture was taken of this species due to rarity and speed of lizard evading

capture.

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4) Emoia cyanogaster Lesson, 1826 Emoia cyanogaster is a large native skink with an average SVL of 85 mm. Its

dorsal coloration is golden to greenish bronze with darker flecks occasionally

present; ventrally it is yellow-green to lime-green (McCoy 2006). It is very

widespread in the Solomon’s and is also found on Vanuatu and PNG. In the

Solomon’s it has been recorded on the Shortland Islands, Fauro, Mono, Choiseul,

Vella Lavella, New Georgia, Tetepare, Vangunu, Isabel, Guadalcanal, Ngela,

Malaita, Ontong Java, Makira, Ugi, Olu Malau, Santa Ana, Rennell, Santa Cruz,

Vanikoro, Utupua, Tikopia and the Reef Islands (McCoy 2006). This diurnal,

arboreal skink is found in forested areas including gardens and plantations preferring

vine covered trees (McCoy 2006). The IUCN assessment for this species is “Least

Concern” (IUCN 2012).

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5) Emoia nigra Jacquinot & Guichenot, 1853 Emoia nigra is a large native skink with an average SVL of 100 mm (McCoy

2006). Dorsal coloration is glossy black or brown and ventrally it is white to dull

cream (McCoy 2006).In the Pacific it has been recorded in PNG, Solomon Islands,

Vanuatu, Fiji, Samoa and Tonga. This skink is the most widespread lizard in the

Solomon Islands and is found on all islands. This diurnal, active skink is found

mostly on the ground in a wide range of habitats from forests to human settlements

and agricultural areas (McCoy 2006). The IUCN assessment for this species is “Least

Concern” (IUCN 2012). Fisher (pers. com. 2012) indicates that this species will

probably be split into three new species following recent genetic analyses.

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6) Emoia pseudocyanura Brown, 1991 Emoia pseudocyanura is an endemic moderate sized skink with an average SVL

of 55 mm. Dorsal coloration is brown to black head fading out into a copper coloured

tail with a mid-dorsal stripe and two lateral stripes present; ventrally it is creamy

white to dull yellow. It is very widespread and has been recorded on the Shortland

Islands, Choiseul, Isabel, Russell Islands, Guadalcanal, Ngela and Malaita (McCoy

2006). The Malaita population is believed to be a separate un-described species due

to its distinct coloration (McCoy 2012, pers. comm., Fisher 2013 pers. comm.). This

diurnal, semi-arboreal skink is found in a wide variety of habitats but prefers forest

edges and areas (McCoy 2006). The IUCN assessment for this species is “Least

Concern” (IUCN 2012).

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7) Sphenomorphus bignelli Schmidt, 1932 Sphenomorphus bignelli is a small skink with an average SVL of 35 mm. Dorsal

coloration is light brown to black with irregular lighter and darker flecks, ventrally is

grey to cream (McCoy 2006).This diurnal skink is endemic to the Solomon Islands

and is found on the islands of Kolombangara, New Georgia, Tetepare, Vangunu,

Russell, Ngela, Malaita and Guadalcanal where it found mostly on the ground in

open shady areas amongst leaf litter (McCoy 2006). The IUCN assessment for this

species is “Least Concern” (IUCN 2012).

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8) Sphenomorphus concinnatus Boulenger, 1887 Sphenomorphus concinnatus is a medium sized skink with an average SVL of 65

mm. Dorsal coloration is golden brown with darker flecks, ventrally is yellowish to

dull orange-brown (McCoy 2006). This diurnal species is endemic to the Solomon

Islands and is found on the Shortland Islands, Fauro, Choiseul, Rob Roy, Vella

Lavella, Ranongga, Gizo, Kolombangara, New Georgia, Tetepare, Vangunu, Isabel,

Ngela, Malaita and Guadalcanal where it is found mostly in forests and semi-cleared

areas foraging amongst leaf litter (McCoy 2006). The IUCN assessment for this

species is “Least Concern” (IUCN 2012).

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9) Sphenomorphus cranei Schmidt, 1932 Sphenomorphus cranei is a medium sized skink with an average SVL of 60 mm.

Dorsal coloration is light brown to black with light and dark flecking; ventrally it is

yellowish to orange-red. This sometimes diurnal skink is endemic to the Solomon

Islands and is found on the Shortland Islands, Vella Lavella, New Georgia, Tetepare,

Vangunu, Isabel, Ngela and Malaita where it is uncommon and is fairly moisture

dependent (McCoy 2006). The IUCN assessment for this species is least concern

(IUCN 2012). McCoy (pers. comm. 2011) believes that this specimen to be an

undescribed S. cranei sub-species for the island of Malaita.

10) Sphenomorphus solomonis (Boulenger, 1887) Sphenomorphus solomonis is a small skink with an average SVL of 50 mm,

dorsal coloration is glossy black or brown; ventrally it is white to dull cream. This

nocturnal skink is very widespread and has been recorded on the Shortland Islands,

Fauro, Choiseul, New Georgia, Isabel, Guadalcanal, Savo, Ngela, Malaita, Makira,

Ugi, Santa Cruz, Taumako and the Reef Islands where it is found in forests living on

the ground and amongst rotting wood and leaf litter in moist conditions (McCoy

2006). The IUCN assessment for this species is least concern (IUCN 2012).

No picture was taken of this species due to rarity and speed of lizard evading

capture.