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ARAUCARIA FOREST Biometric Data Parametrization for
Forest Dynamics Modelling
Diana Damasceno Barreto Valeriano [email protected]
Associate Researcher (CNPq-PCI) – OBT /DPI Image Processing Division
November - 2011
Summary
Brazilian Vegetation – Ombrophylous Mixed Forest
Historical Biogeography – Araucariaceae
Project
Objective
Data
Analysis
Goals
Use of spatially explicit forest models
Karl Friedrich von
Martius
1794 - 1868
1817/1820 - 10 mil km http://pt.wikipedia.org/wiki/Carl_Friedrich_Philipp_von_Martius
Flora Brasiliensis 1840 - 1906
Phytogeographyc Provinces (physiognomy and flora)
22.767 species descriptions
(19.629 natives)
and diferent environments
65 specialists
Ombrophyllous Mixed Forest Co-ocorrence of Gymnospermae (connifers)
and Angiospermae
Original distribution in Brazil
NAPAEAE Nymphs of valleys, fields and woods
Southern Brazilian Fields and Araucaria Forests
Diana and her nymphs - Robert Burns - 1926 Adapted from Hueck, 1953
Alfred Usteri - photography – 1911 - Av. Paulista area
Araucarias – São Paulo City
Post Card by Guilherme Gaensly
XIX Century
Parque da Luz
Historical Biogeography Paleogeography of Araucariaceae
EON ERA PERIOD EPOCH MYA
Ph
ane
rozo
ic
Ce
no
zoic
Quaternary Holocene 0.01
Pleistocene 1.6
Terc
iary
Neogene Pliocene 5.3
Miocene 23.7
Paleogene
Oligocene 36.6
Eocene 57.8
Paleocene 66.4
Me
sozo
ic
Cretaceous 144
Jurassic 206
Triassic 245
Pal
eo
zoic
Permian 286
Car
bo
nif
ero
us
Pennsylv 320
Mississip 360
Devonian 408
Silurian 438
Ordovician 505
Cambrian 570
Pre
cam
bri
an Proterozoic
2500
Archean 3800
Hadean 4550
Diorama of Araucariad Forest 200 million years ago
Diorama on display at the Rainbow Forest Museum, Petrified Forest National Park –
Arizona, USA.
http://www.scotese.com/climate.htm
Historical Climatic and Continental Changes
Barry Saltzman, Dynamical Paleoclimatology: Generalized Theory of Global Climate Change, Academic Press, New York, 2002
Historical Biogeography Paleogeography of Araucariaceae
Araucariaceae ancestors records
A. Upper triassic B. Jurassic C. Cretaceous (~ 210mya) (~ 180 mya) (~140 mya)
Fossil Cone
Araucaria mirabilis
(Patagonia ~165 mya)
Dutra & Stranz , 2004 www.scribd.com/doc/14112353/Dutra-Stranz-04
Historical Biogeography Paleogeography of Araucariaceae
Araucariaceae paleogeographic distribution
A. Cretaceous - Tertiary B. Eocene C. Oligocene – Miocene (~ 70 – 60 mya) (~ 55 mya) (~ 24 mya)
Dutra & Stranz , 2004 www.scribd.com/doc/14112353/Dutra-Stranz-04
Historical Biogeography
Distribution of extant species of the Genus
Araucaria De Jussieu
(Adapted from Kunzmann, 2007)
0º 0º
Total = 19 species – Oceania (17 sp) – South America (2 sp)
(19.000km2)
Araucaria Forest
Modern Biogeography Mixed Araucaria Forests –
exclusive of Southern Hemisphere
Two species in South America: Araucaria araucana (Chile)
Araucaria angustifolia (Brazil)
Life History & Structure Monodominance of long-lived
pioneers
Araucaria Forest Exploitation
Southern Brazil Inland Occupation 1895 – 1910 – Brazil Railway Co USA
Habitat loss – landcover conversion
Instituto de Pesquisa em Vida Selvagem e Meio Ambiente
Paraná
Araucaria Forests Landscapes Southern Brazil
Lages -SC Guarapuava - PR
São Francisco de Paula - RS São José dos Ausentes - RS
Araucaria - PR
São Joaquim - SC
Araucaria Forests Landscapes Southeast Brazil
Tibor Jablonszky, 195?
Camanducaia
Campos do Jordão Campos do Jordão
São Bento do Sapucaí Cunha
Forests and High Altitude Fields Mosaic (Campos do Jordão State Park - Ikonos Satellite Image – 2005)
Forest Dynamics Data & Analysis
Methods:
1. Permanent plot (0.5ha)
2. Two inventories – 20 years apart (1988 – 2008)
3. Biometric and floristic data of all trees with dbh ≥ 1.6cm
4. All trees had their position recorded (x,y coordinates- 0.1m precision) and received an identification tag
Forest Dynamics Data & Analysis
Objective: to evaluate the forest dynamics
1.Mature forest or ongoing succession?
2.Which successional model better describes the forest dynamics?
Succession: “the non-seasonal, directional and continuous pattern of colonization and extinction on a site by species populations.” Begon et al., 1996
Primary Succession
Determinism
X
Stochasticity
Forest Dynamics Models
Succession: : “Succession refers to the changes observed in an ecological community following a perturbation that
opens up a relatively large space.” Connel & Slatyer, 1977
Secondary succession
Patch Dynamics Perspective
Disturbance
(gap, fire, landslide, storms, etc.)
Forest Dynamics Models
Dynamic Models for Ombrophyllous Mixed Forest
1. Biogeographical Model of Forest Expansion (Klein 1960)
2. Gap Model – Autogenic Succession (Jarenkow & Batista 1987)
3. Temporal Plot Replacement (Lozenge) (Ogden & Stewart 1995)
Biogeographical Model of Forest Expansion (Klein 1960)
Colonization of open areas
Monodominance of A. angustifolia
Understorey development
Developed forest
A. Angustifolia - emergent
Lauraceae & Myrtaceae - canopy
A. Angustifolia declines
Gap Model – Autogenic Succession (Jarenkow & Batista 1987)
Gap formation
Cicatrization
Structural regeneration
Temporal Stand Replacement “lozenge model”
(Ogden & Stewart 1995)
A – Recruitment
B – Thinning
C – Senescence
D – Second Cohort
DIS
TU
RB
AN
CE
Gap formation 1=2=3 = 50 years time span
Forest Dynamics Data & Analysis
Approaches:
1. Structural Dynamics – changes in basal area / height
2. Floristic Dynamics – changes in composition / diversity indexes
3. Dominant Population Dynamics - cover values
4. Horizontal Structural Dynamics (exploratory)
Results
1.Structural Dynamics – changes in basal area / height
2. Floristic Dynamics – changes in composition / diversity indexes
3. Dominant Population Dynamics - cover values
4. Horizontal Structural Dynamics (exploratory)
Whittaker Diagram
Results Dominant Populations
0
20
40
60
80
100
120
N_1988 N_2008 A_Basal 1988 A_Basal 2008
%
todos 14_selecionadas
83%
74%
90% 85%
Results Height stratification
1988 (t1) - 2008 (t2) Dominant tree populations (cover value)
(14 species)
emergents
canopy
understory
Results Diameter stratification
1988 (t1) - 2008 (t2) Dominant tree populations (cover value)
(14 species)
Emergents canopy understory
(exclusive)
12 24 36 48 60 72 84 96 108
X
0
8
16
24
32
40
48
56
64
72
Y
12 24 36 48 60 72 84 96 108
X
0
8
16
24
32
40
48
56
64
72
Y
12 24 36 48 60 72 84 96 108
X
0
8
16
24
32
40
48
56
64
72
Y
12 24 36 48 60 72 84 96 108
X
0
8
16
24
32
40
48
56
64
72
Y
12 24 36 48 60 72 84 96 108
X
0
8
16
24
32
40
48
56
64
72
Y
12 24 36 48 60 72 84 96 108
X
0
8
16
24
32
40
48
56
64
72
Y
1988 2008
Tree locations
All N= 2101 N=1741
dbh < 10 cm N= 1691 N=1336
dbh ≥ 10 cm N= 410 N=405
Tree Locations - Surface Density Maps Kernel Spatial Interpolation
5.74E-21
0.356
0.711
1.07
0 12 24 36 48 60 72 84 96 108
-12
0
12
24
36
48
60
72
84
5.74E-21
0.333
0.666
0.999
0 12 24 36 48 60 72 84 96 108
-12
0
12
24
36
48
60
72
84
7.09E-24
0.0826
0.165
0.248
0 12 24 36 48 60 72 84 96 108
-12
0
12
24
36
48
60
72
84
1.9E-21
0.366
0.733
1.1
0 12 24 36 48 60 72 84 96 108
-12
0
12
24
36
48
60
72
84
1.8E-22
0.329
0.659
0.988
0 12 24 36 48 60 72 84 96 108
-12
0
12
24
36
48
60
72
84
2.21E-21
0.0876
0.175
0.263
0 12 24 36 48 60 72 84 96 108
-12
0
12
24
36
48
60
72
84
1988 2008
All trees
dbh < 10 cm
dbh ≥ 10 cm
Mortality and Recruitment Surface Density Maps Kernel Spatial Interpolation
Chablis areas
= 1988 mapped logs;
= 2008 mapped logs
(darker’s over lighter’s).
A. angustifolia and P. lambertii - dap ≥ 50cm (stars)
Mortality Recruitment
Next Step
Goal:
To predict the effect of forest dynamics on
tree biomass, structure and species
composition
Next Step
Use of spatially explicit forest models
Steps: 1. Group species into functional types
2. Discriminate height groups
3. Parameterization of growth, mortality, recruitment rates
4. Characterize tree population structure (dbh) and
successional pattern
Plant Functional Types
Lavorel et al. Plant Functional Types: Are We Getting Any Closer to the Holy Grail? In: Canadell JG, Pataki D, Pitelka L (eds) (2007)
Terrestrial Ecosystems in a Changing World.
(i) bear some relationship to plant function
(ii) be relatively easy to observe and quick to quantify
(iii) using measurements that can be standardized across a wide range of species and growing conditions
(iv) have a consistent ranking – not necessarily constant absolute values – across species when environmental conditions vary
TROLL - Spatially Explicit Forest Model
1. “Competition for light is modelled by calculating exactly the three-dimensional field of photosynthetically active
radiation in the forest understorey.
2. Growth and mortality modules are similar to those of a classic gap model
3. Seed dispersal, dormancy and establishment success as well as a model of tree falls are also included.”
Chave, 1999.
Projeto FAPESP-PFMCG
Assessment of Impacts and Vulnerability to Climate Change
in Brazil and Strategies for Adaptation Options - IVA
Case Study 1: Studies on vulnerability to climate change and indicators of
vulnerability and impacts in the Paraiba do Sul Valley
(PP: Dr. Gilberto Fisch, IAE-CTA)
Araucaria Forest as vulnerability
indicator
Goals:
Modeling the potencial distribution of SE Brazil Araucaria Forests in different climate scenarios
Infer whether Dense Forest species will be favored at the expense of Araucaria Forests species
Forest x High Altitude Grassland
Mosaic
Vegetation Altitudinal Transect East of São Paulo State (Adapted from HuecK, 1972)
1. Ocean
2. Sand Beach
3. Dunes
4. Sandbank Forest
5. Mangrove
6. Rain Forest (coastal plain)
7. Rain Forest (lower slope)
8. Rain Forest (upper slope – mist)
9. Semideciduous Forest of South Paraiba Valley (gone)
10. Savanna (Cerrados)
11. Lowland Forest (floodplain)
12. High-altitude grasslands
13. Araucaria Forest
14. Podocarpus Forest (along the rivers)