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Universidade Federal do Rio de Janeiro Instituto de Biologia Programa de Pós-Graduação em Ecologia Pleistocene-Holocene extinctions: distinguishing between anthropic and climatic causes Bernardo Barros de Alvarenga Araujo Supervisor: Fernando A. dos Santos Fernandez Co-supervisor: José Alexandre F. Diniz-Filho Rio de Janeiro, RJ, Brazil - 2013

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Page 1: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Universidade Federal do Rio de Janeiro

Instituto de Biologia

Programa de Pós-Graduação em Ecologia

Pleistocene-Holocene extinctions: distinguishing between anthropic and

climatic causes

Bernardo Barros de Alvarenga Araujo

Supervisor: Fernando A. dos Santos Fernandez

Co-supervisor: José Alexandre F. Diniz-Filho

Rio de Janeiro, RJ, Brazil - 2013

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"The beauty and genius of a work of art may be reconceived,

though its first material expression be destroyed; a vanished harmony may

yet again inspire the composer; but when the last individual of a race of

living beings breathes no more, another heaven and another earth must

pass before such a one can be again."

William Beebe, The Bird (1906).

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III  

ACKNOWLEDGEMENTS

Although this is one of the most enjoyable sections to write in a dissertation –

mainly because it is a space to acknowledge the importance of many people I hold dear

and because it is (hopefully) a red marker free zone – I will try to make it as quick as

possible.

First, I would like to thank my family for the infinite care offered throughout…

well, through my whole life, but particularly in the years I’ve been in college. For eight

years now I’ve had two homes filled with people who gave me nothing but love and

incentive, and I couldn’t possibly begin to explain how much their support has meant

(and will continue to mean) to me.

In the respect of support, friends are also worth mentioning, especially the ones

at the Laboratório de Ecologia e Conservação de Populações (Laboratory of Population

Ecology and Conservation; LECP) of Universidade Federal do Rio de Janeiro (UFRJ),

not only for the countless discussions and suggestions that were so valuable for the

development of the present dissertation, but also for composing a working environment

that is at the same time focused, greatly productive and so incredibly pleasant to inhabit.

I would also like to extend a good extent of my gratitude to my co-supervisor

José Alexandre F. Diniz-Filho, and to my dear colleagues Matheus Souza Lima-Ribeiro

and Joaquín Hortal, for all the brainstorms and exchanges of ideas and data that fuelled

my research. A particular acknowledgment on that respect should also go to Luiz

Gustavo Rodrigues Oliveira-Santos for the enormous help provided with the conception

and development of the models used in this work (and I still haven’t forgotten about that

beer I owe you for all that).

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IV  

A couple of agencies also deserve acknowledgement, namely the Conselho

Nacional de Pesquisa e Desenvolvimento (CNPq) for providing the scholarship that

aided me through the last two years, and the Programa de Pós-Graduação em Ecologia

(PPGE) of UFRJ (along with its faculty members) for the chance to execute this

somewhat audacious project.

For last, and most certainly not least, I would like to thank Fernando Fernandez

– supervisor, friend, and the very first person to open my eyes to the plight of so many

fantastical creatures that became my personal object of fascination for the best part of

four years. For me, this piece of (hard) work is as much yours as it is mine, and I

wouldn’t have it any other way. Wherever my writings (academic or otherwise) should

take me, the time spent under your tutelage will never be forgotten. And if I ever

manage to build that time machine, I’ll be sure to make it a two-seater.

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V  

ABSTRACT

Through the last 50,000 years, the world lost about two thirds of its genera of large terrestrial

animals, in a sequence that affected every continent except Africa. Explanations for these Quaternary

extinctions, mostly based on regional studies, have been placed anywhere in a gradient ranging from

climatic to anthropogenic causes. However, there have been few global quantitative analyses of this

phenomenon, none of which takes full advantage of the vastly improved number and reliability of

paleontological dates in recent years. Herein, we used a global approach to compare the explanatory

power of the climatic and anthropogenic hypotheses. The world was divided in 19 regions where the

extinctions took place at distinct times. Late Quaternary climatic variance expressed by 18O fluctuations

and calibrated archeological dates of human first arrival to each region were used as predictive variables.

The response variable was the last calibrated dates of occurrence of each megafaunal genus in each

region. A comparison of the observed patterns with null models obtained by simulations showed that the

extinctions were closer in time than expected by chance to climatic changes, human arrival, both or

neither in 2, 82, 10 and 32 cases respectively (n = 126 last occurrence dates). Both cases where climate

was the better explanation and most unexplained cases occurred in Eurasia, where the extinction process

was longer and megafauna had a long interaction with early hominids. In a global perspective, however,

the results provide strong support to the hypothesis that anthropogenic impacts are the best explanation

for the extensive megafaunal extinctions that ravaged the planet in the Quaternary. Such realization

should prompt us to rescue the true baselines of the world’s megafauna and ecosystem structure, and to

reevaluate how we perceive and manage our remaining biodiversity and ecological processes.

KEY-WORDS: Quaternary extinction, megafauna, anthropogenic impacts, climatic variance,

global analysis.

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VI  

RESUMO

Ao longo dos últimos 50.000 anos, o mundo perdeu por volta de dois terços dos seus gêneros de

grandes animais terrestres, em uma sequência que afetou todos os continentes exceto a África. As

explicações para estas extinções do Quaternário, em sua maioria baseadas em estudos regionais, têm sido

colocadas em qualquer ponto de um gradiente que vai de causas climáticas a antropogênicas. No entanto,

têm havido poucas análises quantitativas globais deste fenômeno, nenhuma das quais tira completo

proveito do vasto aperfeiçoamento no número e confiabilidade das datas paleontológicas nos anos

recentes. Aqui, nós usamos uma abordagem global para comparar o poder explicador das hipóteses

climática e antropogênica. O mundo foi dividido em 19 regiões onde as extinções aconteceram em

tempos diferentes. A variância climática do final do Quaternário expressa por flutuações em 18O e datas

arqueológicas calibradas de primeira chegada humana a cada região foram utilizadas como variáveis

preditoras. A variável resposta foi a última data calibrada de ocorrência de cada gênero de megafauna em

cada região. Uma comparação dos padrões observados com os modelos nulos obtidos por simulações

mostrou que as extinções eram mais próximas no tempo do que o esperado ao acaso de mudanças

climáticas, chegada humana, ambas ou nenhum dos dois em 2, 82, 10 e 32 casos respectivamente (n =

126 datas de última ocorrência). Ambos os casos nos quais o clima foi a melhor explicação e a maior

parte dos casos não explicados ocorreram na Eurásia, onde o processo de extinção foi mais longo e a

megafauna teve uma longa interação com hominídeos mais antigos. Numa perspectiva global, no entanto,

os resultados fornecem um forte apoio para a hipótese de que impactos antropogênicos são a melhor

explicação para as extensivas extinções da megafauna que assolaram o planeta no Quaternário. Essa

percepção deve nos impelir a recuperar as verdadeiras linhas de base da megafauna e estrutura dos

ecossistemas do mundo, e a reavaliar como nós percebemos e manejamos nossa biodiversidade e nossos

processos ecológicos remanescentes.

PALAVRAS-CHAVE: extinções do Quaternário, megafauna, impactos antropogênicos,

variância climática, análise global.

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VII  

TABLE OF CONTENTS

Acknowledgements III

Abstract V

Resumo VI

List of Tables VIII

List of Figures IX

Introduction 1

Methods data 5

Methods analyses 10

Results 16

Discussion 25

References 32

Appendix I supplementary data a1

Appendix I supplementary data references a82

Appendix II supplementary figure a91

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VIII  

LIST OF TABLES

Table 1 Mead-Meltzer Scale, as modified by Lindsey and Barnosky (2010) 7

Table 2 Scoring systems created to assess the reliability of U/Th and OSL dates 8

Table 3 Dates for extinct genera, human arrival, and summarized results from the null models 19

Table 4 Dates corrected by bootstrapping and comparisons between results 24

Table S1 Megafaunal dates from South America that ranked 11+ on the Mead-Meltzer Scale a2

Table S2 Megafaunal dates from Caribbean that ranked 11+ on the Mead-Meltzer Scale a5

Table S3 Megafaunal dates from North America that ranked 11+ on the Mead-Meltzer Scale a6

Table S4 Megafaunal dates from Eurasia that ranked 11+ on the Mead-Meltzer Scale a14

Table S5 Megafaunal dates from Japan that ranked 11+ on the Mead-Meltzer Scale a42

Table S6 Megafaunal dates from Madagascar that ranked 11+ on the Mead-Meltzer Scale a44

Table S7 Megafaunal dates from Tasmania that ranked 11+ on the Mead-Meltzer Scale a47

Table S8 Megafaunal dates from New Zealand that ranked 11+ on the Mead-Meltzer Scale a48

Table S9 Megafaunal dates from Australia that ranked 11+ on the Mead-Meltzer Scale a52

Table S10 Human dates from South America that ranked 13+ on the Mead-Meltzer Scale a60

Table S11 Human dates from North America that ranked 13+ on the Mead-Meltzer Scale a66

Table S12 Human dates from Eurasia that ranked 13+ on the Mead-Meltzer Scale a70

Table S13 Human dates from Japan that ranked 13+ on the Mead-Meltzer Scale a78

Table S14 Human dates from Tasmania that ranked 13+ on the Mead-Meltzer Scale a79

Table S15 Well ranked Rattus exulans dates from New Zealand as proxies for human arrival a80

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IX  

LIST OF FIGURES

Figure 1 Regions considered on the analyses 11

Figure 2 Sampled dates of Mylodon from Cueva del Milodon, replacement for 1k iterations 15

Figure 3 Null model results - effects of climatic variance over extinct megafauna genera 17

Figure 4 Null model results - effects of human arrival over extinct megafauna genera 18

Figure 5 Null model results - Geographical distribution of all extinction causes 18

Figure S1 Effects of climatic variance and human arrival time-lapse over No. of extinct genera a91

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INTRODUCTION

Since the beginning of the 19th century, when science became aware of a sudden and

geologically recent disappearance of many large-bodied animals, the Pleistocene-Holocene

extinctions became a heated topic of academic debate (Grayson 2008). Starting around 50,000

years ago, the world (with the exception of Africa) lost most representatives of the megafauna

(broadly defined as animals above 44kg; Martin 1984). Some landmasses, like Australia and

the Americas, experienced the extinction of more than three quarters of their large animal

genera (Koch & Barnosky 2006).

Understanding the causes of the megafauna extinctions across the Pleistocene-

Holocene boundary remains a great unresolved scientific question. For a long time, two main

hypotheses to explain these extinctions divided the academic community interested on the

debate. The first predicts that the extinctions were caused by environmental changes triggered

by climatic shifts that followed the last glacial maximum. The other hypothesis focus on

human diaspora across the globe, arguing that anthropogenic impact – mostly overhunting –

would have caused the extinctions following the colonization of each landmass by

anatomically modern humans.

The first hypothesis originated from Agassiz’s ideas about glaciation, a disclosure that

took place still on the 19th century (Grayson 1984). Yet, Darwin himself, during his voyage

aboard the Beagle, showed that Pleistocene extinct fauna fossils also occurred on geological

stratifications more recent than the glaciation periods’ (Grayson 1984). Other scientists of that

time, like Alfred Russel Wallace, had already argued that no environmental disturbances other

than of the ones brought by the arrival of men on each continent, could have prompted such

extinctions (Martin 1967). However, that second hypothesis was only formalized by Paul S.

Martin on 1967, when he demonstrated the synchrony between human arrival and megafaunal

1

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decline on North America and, later, on many regions of the globe. Martin claimed that a

strong hunting pressure over animals that were evolutionarily unprepared to deal with it

would have led to a fast wave of large mammal extinctions. This hypothesis would come to

be known as Pleistocene overkill, and it was improved over the following years, further

refining the extinction model based on anthropogenic factors (Martin 1984). Over the next

decades different theories were also raised by different authors, invoking pathogens (MacPhee

& Marx 1997), extraterrestrial impacts (Firestone et al. 2007) or instabilities caused by

intrinsic characteristics of the dynamics of the “extinct communities” (Forster 2004) as

possible causes for the extinctions. Such theories, however, failed to explain the geographical

and taxonomical width of the event, earning little attention among the scientific community.

For a long time after the publication of Martin’s works, the extinctions debate

remained polarized. On one side were the advocates of the climatic hypothesis, who initially

argued in favor of the direct effects of the glaciation over the megafauna (Grayson 1984).

After some time, however, they started to be criticized because of the lack of synchrony

between the last glacial maximum and the extinctions on several continents (Koch &

Barnosky 2006). As a result, through recent years, the environmental view of the extinctions

has been supported by climatic and floral data that suggest environmental changes particular

to each time and place where a group of species has gone extinct (Koch & Barnosky 2006).

On the other side were the advocates of the overkill, defending their view from critiques about

the apparent scarcity of direct evidences of human predation over megafauna species and of

coexistence between men and some of the extinct genera (Grayson & Meltzer 2003), arguing

that these apparent lacks are mere sampling artifacts. Over the last few years, in light of many

recent findings and improved datasets, proponents of anthropic driven extinctions abandoned

the idea of very fast decimation waves (blitzkrieg), suggesting a slower paced process

(Johnson 2006; Barnosky & Lindsey 2010).

2

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In recent years, many researchers came to defend a synergy among climatic and

anthropogenic factors as a more plausible scenario for the extinctions (e.g. Barnosky 2004,

Nogués-Bravo et al. 2008, Lorenzen 2011, Prescott et al. 2012, Lima-Ribeiro & Diniz-Filho

2013), although they may diverge in respect to the balance of climate and humans as

extinction drivers (Prescott et al. 2012, Lima-Ribeiro et al. 2012). Nonetheless, many articles

are still written in favor of either side of this dichotomy. Most of the studies on the

Quaternary extinctions, however, are focused on a single continent (Alroy 2001, Diniz-Filho

2004, Jonhson 2006) and few global analyses exist in the literature (for exceptions, see Lyons

et al. 2004, Gillespie 2008, Prescott 2012). Furthermore, few of the global studies offer actual

quantitative analyses of one or both hypotheses, and the ones that do are based on crude data

(Prescott et al. 2012).

However one chooses to approach the question of past extinctions, fossil dating (i.e.

the establishment of the calendar “dates” when fossilized beings were alive) is a crucial

methodology, for it allows the establishment of synchrony between a given extinction event

and its potential causes. In the last years, a growing number of dates have been published and

revised in different parts of the world (FAUNMAP Working Group 1994, Roberts et al. 2001,

Orlova et al. 2004, Barnosky & Lindsey 2010, Crowley 2010, Lorenzen 2011, Iwase et al.

2012, Rawlence et al. 2012). Moreover, more accurate climatic models have been developed

for the last 125,000 years, a period that encompasses the end of the Pleistocene and the

beginning of the Holocene (Andersen et al. 2004). These advances made a once unfeasible

comparative global analysis of climatic changes, dates of human arrival on each landmass and

extinction of each megafauna taxa a concrete possibility, and a promising path for resolving

the extinctions debate.

This dissertation aims to answer whether the Pleistocene-Holocene extinction of the

megafauna was caused by climatic changes, anthropogenic impacts or a combination of both.

3

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These extinctions were a worldwide event and a satisfactory explanation for them begs for a

global approach. Thus, a comprehensive number of all published dates of human arrival and

last appearance of megafaunal genera on each landmass, together with climatic data across the

late Pleistocene, were compiled in order to compare the power of both hypotheses to explain

the extinction dates. This is one of the first works to use a strict quantitative global approach

to this end, making use of as many recently published dates as possible.

4

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METHODS

Data

The predictions of each hypothesis were compared in order to evaluate them. The

environmental hypothesis predicts that extinctions would have occurred during or following

intense climatic changes through the Pleistocene-Holocene. The human impact hypothesis, on

the other hand, predicts that extinctions would have followed human colonization of each

landmass across the globe.

First, dates corresponding to the aforementioned events were collected from scientific

literature. The last appearance dates of megafauna (MLADs) species and first appearance

dates of anatomically modern humans (HFADs) on several landmasses were gathered from all

published sources that could be assessed (see Appendix 1). These landmasses include South

America, North America, Caribbean islands, Northern Eurasia, Australia, Tasmania,

Madagascar, New Zealand and Japan. Climatic changes throughout the last millennia of the

Pleistocene and Holocene were assessed through the North Greenland Ice Core Project

(NGRIP) data on oxygen isotopic composition on ice cores (Andersen et al. 2004). This

database comprises δ18O data (a proxy of the planet’s temperature conditions) from the last

122,000 years, with mean 18O values for every 50 years.

To allow comparisons between the hypotheses’ predictions, data reliability was

assessed through a scoring system. Paleontological and archaeological dates are a frequent

matter of debate due to their sensitivity to methodological errors (Walker 2005). Sample

contamination, poor materials, stratigraphic misinterpretations, inadequate dating methods

and other problems can seriously jeopardize a date’s accuracy. To identify reliable data, many

authors have used different quantitative scales based mainly on sample material, stratigraphic

5

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associations and the type of equipment and logistics used in a given method (Mead & Meltzer

1984, Burney 2004, Barnosky & Lindsey 2010, Iwase 2012). Dates from articles and books

that passed through such scrutiny were collected without further appraisal. In most cases,

however, displayed dates lacked any sort of accuracy determination, making data filtering a

necessity. For radiocarbon based dates, this filtering was achieved using the Mead-Meltzer

Scale (Mead & Meltzer 1984) modified by Lindsey and Barnosky (2010; Table 1), applying

strict criteria: for paleontological and archaeological dates to be accepted, they had to reach at

least ranks 11 (out of a maximum rank of 12) and 13 (out of a maximum rank of 17)

respectively (following Barnosky & Lindsey 2010). Still, most datings performed in Oceania

over the extinctions period are based on different methods, mainly U/Th (Uranium-Thorium

dating), OSL (Optically Stimulated Luminescence dating) and ESR (Electron Spin Resonance

dating). As there are no scoring systems capable of evaluating the accuracy of these types of

dating methods, ranked scales along the lines of the Mead-Meltzer Scale were designed to

assess the reliability of U/Th and OSL dates (Table 2). The new scales do not include ranks

associated with archaeological remains, because human dates were always based on

radiocarbon methods. ESR dating involves a more complex set of techniques, making its

dates harder to fit into a simple scoring system. So, only sources that utilized CSUS-ESR, a

much more accurate variant of the ESR method, were considered in the following analyses

(Grün et al. 2008, 2010).

6

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Table 1 – Mead-Meltzer Scale, as modified by Lindsey and Barnosky (2010). Scores from each category

(Material, Stratigraphic association of specimen of interest with dated material, Association of dated

material with archaeological evidence and Dating method) were summed to establish the date’s overall

rank. Paleontological dates that ranked 11 or 12 (because the Association with archaeological evidence

category did not apply to them) and archaeological dates that ranked 13 to 17 were considered

reliable and used in the following analyses.

14C SCORE

Material

Collagen 5

Dung 5

Hide 5

Hair 5

Apatite 3

Whole bone 1

Charcoal 6

Wood (logs, twigs, leaves) 5

Peat 3

Organic mud (gyttja) 3

Soil 3

Shell 2

Terrestrial carbonate (marl) 1

Stratigraphic association of specimen of interest with dated material

Date on the specimen itself 5

Date from same stratum as the specimen 3

Date on material above the specimen 2

Date on material below the specimen 2

7

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‘‘Associated’’ date 1

Association of dated material with archaeological evidence

Date from human remains 5

Living floor/assemblage 4

Clear hearth 3

Single artifact 3

Probable hearth 2

Clear butchering 2

Equivocal evidence 1

Dating method

AMS 2

Standard or unknown 1

Table 2 – Scoring systems created to assess the reliability of U/Th and OSL dates. The establishment of each

date’s overall rank followed the Mead-Meltzer system (see Table 1).

U/TH SCORE

Material

Unaltered coral 6

Speleothem 6

Volcanic rocks 6

Ferruginous concretions 4

Tufa 4

Mollusc shells 4

Phosphates 4

Diagenetically altered corals 2

8

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Bone 1

Evaporites 1

Caliche 1

Stromatolites 1

Peat and wood 1

Stratigraphic association of specimen of interest with dated material

Date from same stratum as the specimen or on the specimen itself 4

Date on material above the specimen 2

Date on material below the specimen 2

‘‘Associated’’ date 1

Dating method

MC-ICP-MS / TIMS 2

alpha particles / ICP-MS 1

OSL SCORE

Material

Quartz 2

Feldspar 1

Stratigraphic association of specimen of interest with dated material

Date on sediment adjacent or attached to the specimen 5

Date from same stratum as the specimen 3

Date on material above the specimen 2

Date on material below the specimen 2

‘‘Associated’’ date 1

Dating method (measurement)

IRSL (feldspar only) / LED 3

9

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Halogen lamp 2

Argon-Ion 1

Dating method (analysis)

Single aliquot 2

Multiple aliquot 1

 

 

After the data filtering, date calibration was performed. Radiocarbon datings are based

on the 14C/12C ratio of tested samples, and, as base concentrations of both isotopes fluctuate

through time in the atmosphere, calibration is necessary to transform ‘radiocarbon years’ on

actual ‘years before present’. Dates were calibrated using the software Calib 6.0, using the

IntCal09 curve for every sample. Even though this calibration curve was originally designed

for the northern hemisphere, it is the only one that encompasses the whole span of the

extinction event.

Analyses

Calibrated dates and climatic data were then used to develop mathematical models to

assess each hypothesis individually and combined. Before any analysis could be performed,

as both megafauna extinctions and human colonization times vary considerably within large

landmasses, MLADs and HFADs on continents had to be divided geographically. The

divisions were based mainly on great geographical barriers and temporal gaps on human

arrival. A total of 19 regions, including islands and portions of continents, were used to pair

up human arrival and genera disappearances (Figure 1). In the following models, each extinct

genus in a given region was treated as an individual sampling unit. Genera were considered

10

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rather than species to avoid taxonomical confusion, once fossil samples are not always

identified to the specific level, and when they are, the identifications are often controversial.

This procedure allows genera with well ranked dates (see above) in more than one region to

appear multiple times, which makes biological sense as the extinction of species of a genus in

different regions can be independent events, regardless of their cause.

Figure 1 – Regions considered on the analysis: Australia, Caribbean, Japan, Madagascar, New Zealand,

Tasmania, Wrangel, Bering (northwesternmost North America and northeasternmost Eurasia), Central North

America, Eastern North America, Western North America, Northern Europe, Southern Europe, West Siberia,

Central Russia, Northern South America, Central South America, Patagonia and Andean region (the Andes

and South America’s western coast).

With the sampling units established, a generalized mixed model was used to test the

effects of the human arrival time-lapse and 18O variation (fixed effects) on the number of

extinct megafaunal genera through the late Quaternary in the 19 aforementioned regions

around the world. For such test, the last 60 thousand years of data were divided into 20

categories of 3 thousand years each. The dependent variable, the megafauna, was quantified

as the number of extinct genera on each time category. Human arrival time-lapse (first

independent variable) was quantified as the amount of years from each time category to the

11

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category where human colonization took place on each region. Climatic variation (the second

independent variable) was quantified simply as 18O variance within each time category. The

model was fit using a Poisson distribution because the number of extinct genera is a typical

discrete count variable. The regions’ identities were included in the model as random effects

(allowing random intercept estimation) and temporal autocorrelation was controlled between

successive time windows within each province using a first-order autoregressive correlation

structure. The model was validated through the checking of both normality and absence of

temporal autocorrelation of the residuals. The analysis was performed in R using the

glmmPQL() function from the MASS package.

After the initial analysis, null models were designed to further investigate the

chronological association of periods of intense climatic change and of HFADs with the

MLADs. For the first hypothesis, a thousand dates were randomly drawn from the 122

thousand years of climatic data available for each extinct genus on each region. Each true last

appearance date, as well as its thousand random associated dates, had the 18O variance of their

dating error timespan plus another thousand years into the past calculated. This step assumes

that the effects of climatic changes on regional megafauna extinctions would be apparent

within 1,000 years interval; this is regarded as a conservative approach to accommodate a

delay in response by the extinct genera. That measure of climatic instability was chosen as an

environmental variable rather than extreme values because there is a single apex to the last

glaciation (or two, if the Younger Dryas is considered), thus climatic variance would be a

better candidate than climatic extremes for providing a global explanation for the extinction

event. These lists of 1001 variances for each sampling unit were then used to create one-tailed

probability distributions, and p-values were extracted based on the position of the true last

appearance date in relation to the intensity of climate changes, among all possible (random)

dates.

12

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A similar method was employed to assess the second hypothesis. Again, a thousand

dates were randomly drawn from a 122,000 years timespan into the past for each MLAD on

each region, but this time the chronological distance between each date (random and true) and

the corresponding regional HFAD was measured. These chronological distance lists were then

ranked and p-values were extracted, in a way that they expressed the proportion of random

dates (number of dates divided by a thousand) that were closer to human arrival than the true

MLAD.

Both models were generated in R, and their results tabulated and compared. On every

occasion where the test of significance of a given model provided a p-value of up to 0.06 (to

better encompass the temporal lag between human colonization and megafaunal demise) –

that is, when extinctions were more closely related to climatic changes or to human arrival

than expected by chance – the cause it expressed was considered responsible for that genus

extinction. When both hypotheses showed significant p-values, the result was considered

“entangled”, meaning that the models could not discern between causes for that particular

extinction event.

Due to the natural paucity of the fossil record and its consequent vulnerability to

sampling biases (Signor & Lipps 1982), a second round of analyses was carried out to assess

the influence of poorly represented taxa over the overall results of the two previous models. It

is highly unlikely that any single dated fossil will represent the actual extinction date of a

given taxon (i.e. the moment when its last individual perished), but well sampled taxa have a

good chance of having a MLAD closely related to their true time of demise (Barnosky &

Lindsey 2010). The same is not true for poorly represented taxa. With the help of

bootstrapping simulations (Gotelli & Ellison 2004), however, one can evaluate and even

attempt to correct some of this distortion, using dates of genera that are very well represented

on single fossiliferous sites to estimate the bias for poorly represented genera from the same

13

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region (Barnosky & Lindsey 2010). Ideally, such corrections should have been exercised over

this work’s complete dataset, but that was impossible because many regions failed to present

even a single well represented genus. So, only data from South America was corrected in this

manner, sampling dates of Mylodon from Cueva del Milodon (Patagonia) with replacement

for 1000 iterations (Figure 2), and the previous models were run for a second time, using the

new corrected dates. This continent was chosen because Mylodon at Cueva del Milodon was

the second best sampled genus in a single site in the whole dataset, and the extinction

timespan in South America was small enough to allow dates from a single region to be used

to correct for all four of them. The best sampled site in all dataset was located in Wrangel, an

island inhabited by a single genus of megafauna (Mammuthus), and thus unfit to serve the

correction’s purpose. Finally, the results of this new round of null models were compared

with the initial ones, and the effects of sampling bias appraised.

It is important to note that the antiquity of human arrival on every region would also

be subject to such biases. However, archeological findings tend to outnumber single genera

records over most of the globe. That way, Homo sapiens was considered a well sampled

species throughout the world, and no bootstrapping corrections were run over anthropological

dates.

14

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Figure 2 - Sampled dates of Mylodon from Cueva del Milodon (Patagonia) with replacement for 1000 iterations.

15

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RESULTS

All dates gathered from literature that were ranked satisfactorily according to the

modified versions of the Mead-Meltzer scale (Tables 1 and 2, see Methods), along with their

results from calibration procedures, are compiled in Appendix 1. Two thousand and eighty

eight dates for a total of 67 genera of extinct megafauna (58 mammals, 8 birds and 1 reptile)

fulfilled the filtering requirements and were used in the analysis and null models, totalizing

126 sampling units across the 19 regions due to repeated genera. Similarly, 762 human dates

fulfilled the same requirements, and were considered in the following analysis and models.

As many regions have genera that survived several millennia after most of their

concurrent taxa, to avoid effects of time-lag between the onset of a given variable (human

arrival or climatic instability) and total megafaunal demise within a region, 25% of the most

recent extinction dates from every region were removed from the constructed mixed models.

The analysis with the remaining 97 genera found both effects of the human arrival time-lapse

(t = -4.69, p < 0.001) and climatic variation (t = 2.42, p < 0.02) on the number of extinct

genera through time (model; Number of extinct genus = -0.45 - 0.12*Time-lapse from human

arrival + 0.29*Climatic variation). However, the main effect of climatic variation was to

magnify the effects of the human arrival (Appendix 2, Figure S1). At times far (> 10 thousand

years) from the dates of human arrival, increases in climate variation did not increase the

number of extinct genera (Appendix 2, Figure S1). On the other hand, at times close (<5

thousand years) to human arrival, increases in climate variation yielded even higher numbers

of extinct genera. The random effect suggested low variance among regions in the intercepts

of their respective regressions (sd = 10-4), and the autoregressive structure estimated a

correlation of only 0.17 between successive time windows within each region, suggesting that

these results are robust.

16

Page 26: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

The results for each analyzed genus for the two null models are summarized in Table

3. For the climatic hypothesis, 12 (around 9.5%) out of the 126 genera were found to become

extinct during a period of intense climatic instability (Figure 3). The anthropogenic models,

on the other hand, showed that 92 (around 73%) out of the 126 genera became extinct on their

respective regions nearer human arrival than expected by chance (Figure 4). In ten of the

cases above the effects of both factors were entangled. Thus, in the models 2 genera were

considered extinct by climatic factors alone, 82 due to human impact alone, 10 by a synergy

of both factors, and for the remaining 32 cases no evidence could be found of the effect of

either variable (Figure 5).

Figure 3 – Geographical distribution of the results of the null model investigating the effects of climatic

instability over 126 genera (including repeated ones) of extinct megafauna. p values denote the proportion of

random δ18O variances that were greater than the one that encompassed the true MLAD, in a way that values <

0.06 express extinctions during a period of greater climatic instability than expected by chance.

17

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Figure 4 – Geographical distribution of the results of the null model investigating the effects of human arrival

over 126 genera (including repeated ones) of extinct megafauna. p values denote the proportion of random

genera extinction dates that were closer to human arrival than the true MLAD, in a way that values < 0.06

express extinctions nearer to human arrival than expected by chance.

Figure 5 – Geographical distribution of the results regarding which process best explained the extinctions:

climatic change, anthropogenic impact, the entangled effects of both, or none of them.

18

Page 28: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le 3

- D

ates

for

eac

h ex

tinc

t gen

us (

MF

), h

uman

arr

ival

(H

S),

and

sum

mar

ized

res

ults

fro

m th

e nu

ll m

odel

s.

RE

GIO

NG

EN

ER

AM

F14C

MF14

C

erro

rM

F14C

(2σ)

MF14

C

erro

r (2σ)

OSL

OSL

er

ror

U-T

hU

-Th

erro

rC

SUS-

ESR

CSU

S-E

SR e

rror

HS14

CH

S14C

(2σ)

p C

limat

ep

Hum

anE

XT

INC

TIO

N

CA

USE

Aus

tral

iaD

ipro

todo

n44

000

6000

4547

048

079

0.44

90.

054

hum

anA

ustr

alia

Gen

yorn

is47

000

2000

4547

048

079

0.24

90.

015

hum

anA

ustr

alia

Mac

ropu

s52

000

8000

4547

048

079

0.58

40.

049

hum

anA

ustr

alia

Met

hast

enur

us89

000

6000

4547

048

079

0.55

71.

000

none

Aus

tral

iaP

hasc

olon

us47

000

2000

4547

048

079

0.22

90.

011

hum

anA

ustr

alia

Pro

copt

odon

4010

011

0044

013

1556

4547

048

079

0.45

50.

055

hum

anA

ustr

alia

Pro

tem

nodo

n44

900

1300

4547

048

079

0.24

90.

037

hum

anA

ustr

alia

Sim

osth

enur

us40

100

1100

4401

315

5645

470

4807

90.

416

0.05

7hu

man

Aus

tral

iaS

then

urus

4400

050

0045

470

4807

90.

431

0.05

2hu

man

Aus

tral

iaT

hyla

cole

o40

100

1100

4401

315

5645

470

4807

90.

437

0.04

5hu

man

Aus

tral

iaZ

ygom

atur

us44

900

1300

4547

048

079

0.27

40.

048

hum

anB

erin

gB

ison

1037

016

012

062

554

1322

515

986

0.43

50.

035

hum

anB

erin

gC

oelo

dont

a14

260

150

1738

043

2.5

1322

515

986

0.63

10.

009

hum

anB

erin

gE

quus

1229

044

014

721

1431

1322

515

986

0.07

80.

015

hum

anB

erin

gM

amm

uthu

s96

5060

1098

821

2.5

1322

515

986

0.08

70.

044

hum

anB

erin

gP

anth

era

1252

550

1466

043

013

225

1598

60.

024

0.01

2en

tang

led

Car

ibbe

anM

egal

ocnu

s41

9040

4713

130

5500

5500

0.96

90.

013

hum

anC

arib

bean

Par

ocnu

s49

6028

056

3666

355

0055

000.

999

0.00

1hu

man

Cen

tral

Rus

sia

Bis

on88

6040

9970

195.

543

300

4704

90.

499

0.33

0no

neC

entr

al R

ussi

aC

oelo

dont

a13

165

180

1593

675

543

300

4704

90.

568

0.31

7no

neC

entr

al R

ussi

aM

amm

uthu

s96

7060

1100

021

5.5

4330

047

049

0.07

40.

335

none

Cen

tral

Rus

sia

Meg

aloc

eros

1005

545

1157

523

643

300

4704

90.

262

0.31

0no

neC

entr

al R

ussi

aP

anth

era

1245

060

1458

043

043

300

4704

90.

018

0.31

3cl

imat

eJa

pan

Bis

on17

900

9021

318

299

3142

035

843

0.61

70.

151

none

Japa

nC

ervu

s13

970

9017

106

310

3142

035

843

0.57

00.

169

none

Japa

nM

amm

uthu

s19

530

8023

198

508

3142

035

843

0.58

00.

127

none

Japa

nP

alae

olox

odon

2360

013

028

323

357

3142

035

843

0.12

50.

092

none

19

Page 29: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Japa

nS

inom

egac

eros

4056

015

0044

326

2251

3142

035

843

0.32

40.

116

none

Mad

agas

car

Aep

yorn

is10

0015

096

429

123

0023

000.

897

0.00

8hu

man

Mad

agas

car

Arc

haeo

indr

is22

9155

2302

154

2300

2300

0.96

40.

000

hum

anM

adag

asca

rG

eoch

elon

e75

037

065

265

523

0023

000.

000

0.01

3en

tang

led

Mad

agas

car

Hip

popo

tam

us99

3613

313

723

0023

000.

964

0.01

2hu

man

Mad

agas

car

Meg

alad

apis

630

5060

663

2300

2300

0.93

80.

017

hum

anM

adag

asca

rM

ulle

rorn

is12

8060

1183

114

2300

2300

0.88

30.

006

hum

anN

A C

entr

alA

rcto

dus

1092

150

1279

015

511

480

1362

70.

476

0.00

6hu

man

NA

Cen

tral

Bis

on89

5035

010

185

921

1148

013

627

0.05

80.

031

enta

ngle

dN

A C

entr

alB

ooth

eriu

m10

980

8012

876

210

1148

013

627

0.44

50.

005

hum

anN

A C

entr

alC

amel

ops

1118

045

1306

117

511

480

1362

70.

395

0.00

9hu

man

NA

Cen

tral

Equ

us93

1031

010

456

857

1148

013

627

0.03

60.

015

enta

ngle

dN

A C

entr

alM

amm

uthu

s10

200

350

1173

896

011

480

1362

70.

280

0.01

2hu

man

NA

Cen

tral

Not

hrot

heri

ops

1067

014

012

510

371

1148

013

627

0.38

50.

009

hum

anN

A E

ast

Arc

todu

s11

480

6013

331

135

1269

015

181

0.34

90.

013

hum

anN

A E

ast

Bis

on99

9020

011

595

785

1269

015

181

0.21

20.

037

hum

anN

A E

ast

Cas

toro

ides

1032

025

011

948

676

1269

015

181

0.37

90.

026

hum

anN

A E

ast

Cer

valc

es11

030

150

1291

628

912

690

1518

10.

469

0.01

3hu

man

NA

Eas

tM

amm

ut89

1015

099

5941

212

690

1518

10.

498

0.04

6hu

man

NA

Eas

tM

amm

uthu

s82

6030

092

6884

512

690

1518

10.

640

0.04

9hu

man

NA

Eas

tM

egal

onyx

1143

060

1328

913

512

690

1518

10.

355

0.01

7hu

man

NA

Eas

tM

yloh

yus

1186

040

1366

918

012

690

1518

10.

145

0.01

0hu

man

NA

Eas

tP

alae

olam

a12

390

5014

515

420

1269

015

181

0.01

50.

005

enta

ngle

dN

A E

ast

Pla

tygo

nus

1079

015

012

749

335

1269

015

181

0.40

50.

024

hum

anN

A E

ast

Sm

ilod

on94

1015

510

696

433

1269

015

181

0.05

50.

039

enta

ngle

dN

A E

ast

Tap

irus

1250

010

2015

059

2651

1269

015

181

0.30

90.

002

hum

anN

A W

est

Arc

todu

s10

870

7512

764

171

1229

314

413

0.43

40.

019

hum

anN

A W

est

Bis

on11

930

210

1390

861

112

293

1441

30.

049

0.00

2en

tang

led

NA

Wes

tB

ooth

eriu

m11

690

190

1355

436

912

293

1441

30.

124

0.00

9hu

man

NA

Wes

tC

amel

ops

9955

165

1148

060

912

293

1441

30.

166

0.03

0hu

man

NA

Wes

tE

quus

1113

040

1298

417

512

293

1441

30.

412

0.01

1hu

man

NA

Wes

tE

ucer

athe

rium

1163

015

013

507

293

1229

314

413

0.24

50.

008

hum

anN

A W

est

Glo

ssot

heri

um11

030

800

1283

722

6212

293

1441

30.

081

0.01

7hu

man

20

Page 30: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

NA

Wes

tM

amm

ut10

800

250

1264

359

712

293

1441

30.

410

0.02

1hu

man

NA

Wes

tM

amm

uthu

s88

1510

098

6930

712

293

1441

30.

491

0.03

8hu

man

NA

Wes

tN

othr

othe

riop

s10

400

275

1200

174

012

293

1441

30.

419

0.01

7hu

man

NA

Wes

tO

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nos

1014

051

011

629

1333

1229

314

413

0.16

70.

026

hum

anN

A W

est

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tygo

nus

1134

050

1322

110

812

293

1441

30.

415

0.00

8hu

man

NA

Wes

tS

mil

odon

1113

027

513

071

530

1229

314

413

0.37

20.

009

hum

anN

ew Z

eala

ndD

inor

nis

658

3061

558

702

627

0.94

20.

000

hum

anN

ew Z

eala

ndE

meu

s10

470

130

1224

439

970

262

70.

431

0.10

1no

neN

ew Z

eala

ndE

urya

pter

yx10

7060

986

184

702

627

0.90

70.

001

hum

anN

ew Z

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ndM

egal

apte

ryx

646

9562

311

970

262

70.

945

0.00

0hu

man

New

Zea

land

Pac

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nis

564

2658

457

702

627

0.95

20.

000

hum

anN

orth

ern

Eur

ope

Bis

on27

140

360

3157

860

2.5

4290

046

766

0.26

10.

185

none

Nor

ther

n E

urop

eC

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dont

a30

220

460

3491

713

19.5

4290

046

766

0.44

50.

123

none

Nor

ther

n E

urop

eE

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3600

045

041

072

870

4290

046

766

0.42

40.

074

none

Nor

ther

n E

urop

eM

amm

uthu

s97

6040

1118

955

4290

046

766

0.09

10.

328

none

Nor

ther

n E

urop

eM

egal

ocer

os10

257

7512

051

335

4290

046

766

0.43

20.

319

none

Nor

ther

n E

urop

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anth

era

1224

866

1435

148

042

900

4676

60.

022

0.30

2cl

imat

eN

orth

ern

Eur

ope

Urs

us22

107

130

2668

267

742

900

4676

60.

217

0.20

9no

neS

A A

ndes

Cuv

iero

nius

1199

020

014

068

716

1278

015

289

0.04

70.

018

enta

ngle

dS

A A

ndes

Equ

us10

950

3512

803

148

1278

015

289

0.44

70.

022

hum

anS

A A

ndes

Glo

ssot

heri

um12

350

7014

474

447

1278

015

289

0.01

20.

006

enta

ngle

dS

A A

ndes

Hap

lom

asto

don

1667

080

1985

131

312

780

1528

90.

600

0.05

3hu

man

SA

And

esH

ippi

dion

2107

010

025

182

405

1278

015

289

0.52

90.

102

none

SA

And

esM

ylod

on13

500

6516

636

263

1278

015

289

0.51

90.

020

hum

anS

A A

ndes

Pal

eola

ma

1031

030

1217

919

712

780

1528

90.

346

0.02

1hu

man

SA

And

esS

celi

doth

eriu

m89

1020

010

014

481

1278

015

289

0.48

60.

061

none

SA

Cen

tral

Doe

dicu

rus

7010

100

7837

174

1101

012

890

0.77

40.

045

hum

anS

A C

entr

alE

quus

1029

013

011

984

572

1101

012

890

0.42

30.

012

hum

anS

A C

entr

alG

loss

othe

rium

1050

090

1235

725

011

010

1289

00.

356

0.00

4hu

man

SA

Cen

tral

Hip

pidi

on89

9090

1006

930

311

010

1289

00.

488

0.02

4hu

man

SA

Cen

tral

Meg

athe

rium

7750

250

8644

605

1101

012

890

0.84

00.

038

hum

anS

A C

entr

alS

celi

doth

eriu

m75

5060

8324

125

1101

012

890

0.80

30.

041

hum

anS

A C

entr

alT

oxod

on11

090

4012

946

172

1101

012

890

0.42

30.

002

hum

an

21

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SA

Nor

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2550

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1011

1244

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621

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1157

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438

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rauc

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5013

528

166

1157

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1029

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SA

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mil

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1126

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570

1343

80.

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Sou

ther

n E

urop

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033

225

1250

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0.17

60.

143

none

Sou

ther

n E

urop

eM

amm

uthu

s13

390

300

1607

191

641

400

4488

20.

619

0.28

7no

neS

outh

ern

Eur

ope

Meg

aloc

eros

2100

040

2508

535

541

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4488

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577

0.18

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ern

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ope

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ther

a13

770

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1689

926

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0.54

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268

none

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ther

n E

urop

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044

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0.13

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153

none

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man

iaM

acro

pus

3423

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040

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1297

3479

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003

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anT

asm

ania

Met

asth

enur

us56

000

4000

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039

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0.43

40.

239

none

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man

iaP

alor

ches

tes

3592

029

041

276

703

3479

039

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0.30

90.

016

hum

anT

asm

ania

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tem

nodo

n30

400

270

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580

434

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0.05

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then

urus

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4000

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3817

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eria

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on24

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300

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est S

iber

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a10

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250

1260

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t Sib

eria

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1000

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eria

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iber

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none

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6040

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0043

000.

950

0.00

1hu

man

22

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All dates corrected by bootstrapping for the South American continent are compiled in

Table 4. The results from the bootstrapped models deviated little from the general trend

expressed above. In the main models, out of 29 South American genera, the extinction of 22

was related to human impact, 3 were considered entangled and 4 were not related to any

variable. In the corrected models, the extinction of 22 genera was also related to

anthropogenic factors, but only 2 were considered entangled and 5 were not related to any

variable. Individually, only 6 genera changed groups between these analyses, shifting from

entangled to human impacts in 3 cases, from human to entangled in 2 and from human to

unexplained in the remaining case.

23

Page 33: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le 4

- D

ates

fro

m S

outh

Am

eric

a co

rrec

ted

by b

oots

trap

ping

and

com

pari

sons

bet

wee

n co

rrec

ted

and

unco

rrec

ted

resu

lts.

RE

GIO

NG

EN

ER

AM

F14C

MF14

C

erro

rM

F14C

(2σ)

MF14

C

erro

r (2σ)

HS14

CH

S14C

(2σ)

p C

limat

ep

Hum

anC

ON

SEN

SUS

Cor

rect

ed

MF14

C (2σ)

Cor

rect

ed

p C

limat

eC

orre

cted

p

Hum

an

Cor

rect

ed

EX

TIN

CT

ION

C

AU

SES

A A

ndes

Cuv

iero

nius

1199

020

014

068

716

1278

015

289

0.04

70.

018

enta

ngle

d12

327

0.52

20.

026

hum

anS

A A

ndes

Equ

us10

950

3512

803

148

1278

015

289

0.44

70.

022

hum

an10

366

0.48

0.03

9hu

man

SA

And

esG

loss

othe

rium

1235

070

1447

444

712

780

1528

90.

012

0.00

6en

tang

led

1203

70.

477

0.02

9hu

man

SA

And

esH

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mas

todo

n16

670

8019

851

313

1278

015

289

0.60

00.

053

hum

an17

414

0.59

10.

02hu

man

SA

And

esH

ippi

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2107

010

025

182

405

1278

015

289

0.52

90.

102

none

2344

10.

729

0.08

4no

neS

A A

ndes

Myl

odon

1350

065

1663

626

312

780

1528

90.

519

0.02

0hu

man

1419

90.

014

0.01

3en

tang

led

SA

And

esP

aleo

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310

3012

179

197

1278

015

289

0.34

60.

021

hum

an97

420.

493

0.05

6hu

man

SA

And

esS

celi

doth

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m89

1020

010

014

481

1278

015

289

0.48

60.

061

none

7577

0.84

90.

062

none

SA

Cen

tral

Doe

dicu

rus

7010

100

7837

174

1101

012

890

0.77

40.

045

hum

an67

430.

991

0.05

6hu

man

SA

Cen

tral

Equ

us10

290

130

1198

457

211

010

1289

00.

423

0.01

2hu

man

9547

0.56

60.

026

hum

anS

A C

entr

alG

loss

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rium

1050

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1235

725

011

010

1289

00.

356

0.00

4hu

man

1061

60.

118

0.01

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man

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Cen

tral

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pidi

on89

9090

1006

930

311

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00.

488

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man

7632

0.83

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042

hum

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A C

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5025

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4460

511

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00.

840

0.03

8hu

man

6903

0.94

90.

054

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5060

8324

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890

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hum

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870.

981

0.06

7no

neS

A C

entr

alT

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on11

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4012

946

172

1101

012

890

0.42

30.

002

hum

an11

205

0.07

60.

019

hum

anS

A N

orth

Cat

onyx

9960

4011

430

178

1244

014

621

0.19

60.

033

hum

an10

132

0.49

60.

048

hum

anS

A N

orth

Equ

us16

180

7019

198

271

1244

014

621

0.47

90.

051

hum

an17

900

0.67

80.

036

hum

anS

A N

orth

Ere

mot

heri

um11

340

5013

221

108

1244

014

621

0.40

80.

015

hum

an10

784

0.09

90.

039

hum

anS

A N

orth

Gly

ptod

on25

500

600

3020

210

1112

440

1462

10.

391

0.15

8no

ne28

461

0.46

10.

164

none

SA

Nor

thH

aplo

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290

7018

424

304

1244

014

621

0.65

90.

032

hum

an15

987

0.59

40.

021

hum

anS

A N

orth

Hol

mes

ina

4100

013

0044

624

1992

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014

621

0.39

10.

369

none

4288

30.

470.

368

none

SA

Nor

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othr

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rium

1220

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014

317

545

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014

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80.

001

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ngle

d11

880

0.39

10.

014

hum

anS

A N

orth

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ilod

on91

3015

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247

456

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014

621

0.17

50.

045

hum

an85

060.

873

0.05

9hu

man

SA

Nor

thS

tego

mas

todo

n12

980

8515

721

613

1244

014

621

0.55

50.

011

hum

an14

423

0.03

80.

002

enta

ngle

dS

A P

atag

onia

Arc

toth

eriu

m10

345

7512

179

346

1157

013

438

0.40

00.

017

hum

an97

420.

518

0.03

8hu

man

SA

Pat

agon

iaH

ippi

dion

1031

016

011

992

585

1157

013

438

0.40

20.

015

hum

an10

251

0.14

0.02

6hu

man

SA

Pat

agon

iaM

acra

uche

nia

1166

550

1352

816

611

570

1343

80.

209

0.00

3hu

man

1109

10.

068

0.02

1hu

man

SA

Pat

agon

iaM

ylod

on10

295

6512

107

283

1157

013

438

0.37

80.

023

hum

an96

700.

554

0.04

1hu

man

SA

Pat

agon

iaS

mil

odon

1126

545

1318

911

411

570

1343

80.

420

0.00

1hu

man

1144

80.

179

0.01

4hu

man

24

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DISCUSSION

The Pleistocene-Holocene extinctions encompassed a wide variety of animals on

taxonomical, behavioral and bionomical grounds. However, when they are observed as a

single global phenomenon, clear patterns emerge. First and foremost, most extinctions (73%)

took place around the time of human arrival in each place, as it can be seen by the close

temporal gap between most MLADs and HFADs across the globe. A similar correlation of

extinction dates with times of intense climatic variance did not occur, as only 9.5% of the

MLADs followed periods of great 18O fluctuation, a figure only slightly above the value

expected by chance. The mixed model results reinforced this conclusion, demonstrating a

very strong effect of human arrival time-lapse over the extinction dates (t = -4.69, p < 0.001).

Climatic variation also showed a significant influence over the extinctions (t = 2.42, p < 0.02),

but only through the intensification of anthropogenic impacts (Appendix 2, Figure S1). So,

our results indicate that human impact was not a mere proximate cause to the Late Quaternary

extinctions, but the main factor that led to the demise of the megafauna, even if assisted by

climate on some regions.

An interesting trend is that, within this global scenario, strong regional patterns can be

observed when the Eurasian continent (with the exception of Bering) is viewed separately

from the rest of the world. In the sampling units that occur within West Siberia, Central

Russia, Japan and Europe, only 3 out of the 28 present genera can be considered extinct by

humans and 2 can be considered extinct by climatic instability (the only ones in the entire

analysis), leaving 23 sampling units unexplained. This is in sharp contrast with the patterns

for the rest of the world, where a total of 89 among the 98 genera left (90.8%) were extinct

around the time of human arrival, and 79 of those extinctions can be attributed uniquely to

anthropogenic causes. This suggests that a synergy with climatic changes is likely to have

25

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been important in Eurasia, unlike the other continents, as suggested by several authors (e.g.

Nogués-Bravo et al. 2008, Lorenzen et al. 2011). It also highlights the limitations of single-

continent studies to make inferences about the causes of the planetary process of Pleistocene-

Holocene extinctions.

Observing the abovementioned patterns, it becomes clear that extinctions over the

Americas, Australia and every island included in this analysis (except for Japan) were driven

mainly by anthropogenic factors, most likely overhunting (Martin 1984). The fact that Africa

escaped the main extinction pattern reinforces this interpretation, because this is the only

continent where man was native rather than a late arrival. Thus the African megafauna

coevolved with man, gradually developing instincts to deal with human predation (Klein

1984), while such instincts are conspicuously absent in faunas which were first exposed to

man when he was already an accomplished hunter (Diamond 1984). In Eurasia, the pattern of

anthropogenic extinction was not clear-cut, but even there climatic variance did not seem to

be the fundamental cause. In the case of the Americas, many of the extinctions closely

followed the Younger Dryas stadial, but since human expansion overlapped temporally with

this event at this continent, such coincidence was expected. There is no reason to suppose that

glacial peaks would account for the megafauna’s demise as the Pleistocene accommodated

over 30 glacial events before the Last Glacial Maximum, all of them with few or no

associated extinctions (Cione et al. 2003, Barnosky 2004). On continental Eurasia, extinctions

were more spaced in time than in any other continent, encompassing genera with MLADs

from 10 thousand to over 40 thousand years before present. Therefore, most of these

extinctions also could not be explained by cold temperature peaks of the Last Glacial

Maximum or any stadials. In fact, given this temporally protracted extinction window on

Eurasia, it is possible that climate played a very different role on the extinctions.

26

Page 36: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

The colonization of the Eurasian continent was the only moment in human dispersal

across the globe when paleolithic men – until then, a fully tropical species – was forced to

move against increasingly colder environments as it made its way toward high latitudes

(Oppenheimer 2009). While the spread of anatomically modern men was a process that took

only a few thousand years over most continents (from around 8 thousand years in Sahul to

less than 2 thousand years in the Americas), it was much longer over Eurasia. The HFADs

from Central Russia and Europe are over 45 thousand years old, about 30 thousand years

apart from Bering’s, the region of highest latitude in the continent, and almost 20 thousand

years apart from the first human dates across the arctic (Pitulko et al. 2004). This pattern

shows that traversing the Eurasian latitudinal range was a long process. It is very likely that

human numbers grew very slowly in Eurasia due to the same conditions that made its

colonization difficult, retarding the demographic impacts of men over megafauna genera. This

process would result in a greater temporal gap between FHADs and MLADs across Eurasian

regions, resulting in a false negative signal in the null models. This possibility could also be

investigated by correlating human arrival with extinctions in Eurasia on a finer spatial scale,

but additional data would likely be necessary. Thus, such analysis was not conducted in this

dissertation.

Other possible explanation for the slower pace of Eurasian extinctions, and the fact

that this continent lost a smaller proportion of its large fauna than Australia and the Americas,

is the coexistence of megafauna with hominids for several thousand years prior to the arrival

of modern men. Although the diaspora of modern humans to Eurasia was relatively recent,

early Homo – H. heidelbergensis and H. neanderthalensis – had been present in that continent

for hundreds of thousands of years (Stringer & Andrews 2005). So, as in Africa, it is possible

that coevolution granted these animals a greater resilience to the hunting pressure exerted by

Homo sapiens (Antonio Gilman, personal communication).

27

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Other works have approached the Eurasian extinctions from different angles. One that

deserves attention for comparative purposes is Lorenzen’s et al. (2011) work on species-

specific responses of a few large mammals to climate and human presence. They conclude

that the extinctions of these species on Eurasia and North America were either caused by

climatic changes or a synergy between climate and anthropogenic effects. These conclusions,

however, are based on the construction of past species distribution models and the use of

ancient DNA, methods that are either based on many assumptions or plagued by

methodological uncertainties (Hofreiter et al. 2001, Barry & Elith 2006). Furthermore,

environmental hypotheses propose that climatic driven habitat changes were the direct cause

of the extinctions and, at least for North America, it has been demonstrated that such changes

occurred after the megafauna declined (Gill et al. 2009; see Rule et al. 2012 for similar results

in Australia). The advantage of the present work is that it presents strong patterns under only

two assumptions; that the dates incorporated in the models are accurate and that humans

hunted the megafauna species.

Some authors have questioned that second assumption in the past, arguing that a mere

coincidence of HFADs and MLADs is not enough to establish causality, and that there is a

lack of direct evidence of human hunting some megafauna species (Grayson & Meltzer 2003).

However, it has been demonstrated that this lack is another artifact caused by the short

coexistence of Homo sapiens and the large animal fauna in any specific locality. The length of

the evolutionary history of each megafaunal genus dwarfs the period when it coexisted with

humans in any given place, which explains the rarity of sites with direct evidences of man-

megafauna interactions (Barnosky 2004). Furthermore, the key to understanding these

extinctions lies not in the intensity of the hunting but in the vulnerability of the hunted. Large

animals, especially mammals, have very low fecundity, which makes them particularly

vulnerable even to moderate harvesting of their populations (Johnson 2002). Many

28

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simulations have shown that paleolithic men were capable of exerting hunting pressures

strong enough to drive large mammal species to extinction in few thousands or even hundred

years (Alroy 2001, Diniz-Filho 2004, Johnson 2006), even when conservative estimates of

yield and human density were considered.

Even when the abovementioned results show a clear pattern of anthropogenic

extinctions over most of the globe, a final consideration about a methodological limitation of

the models generated in this work is in order. In the null model that tested human effects over

the extinct animals, the absolute chronological distances between HFADs and MLADs were

considered, regardless if the extinction occurred before or after man’s arrival. Of the 92

genera of megafauna extinct by anthropogenic causes or considered entangled, 14 show a

MLAD prior to human appearance, but in only 8 of these cases the HFAD is outside the

date’s standard error. These deviations are likely a result of fossil sampling biases (Signor &

Lipps 1982; see methods). Bootstrapping corrections would actually place the extinction of 2

out of the 5 deviated genera that occur in South America (Stegomastodon on Northern South

America and Mylodon on the Andean region) at a date that follows human arrival. The 3 other

deviated South American genera (Haplomastodon and Equus on Northern South America and

Haplomastodon on the Andean region) continue to precede human colonization, however.

The remaining 3 deviated genera elsewhere (Coelodonta on Bering, Euryapteryx on New

Zealand and Palorchestes on Tasmania) have MLADs very close to its respective regions’

HFADs (see Table 3), and would be likely corrected if bootstrapping could be exerted over

them. In any case, excluding these deviated dates from the results would do little to change

the overall patterns demonstrated across this dissertation, since the global approach shows

that these cases are but a noise within a much stronger signal.

When we place the extinction dates in chronological order (with the possible exception

of Eurasia, as mentioned before), we can see that they tell the story of human colonization of

29

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each continent. The same happens with the islands that were never connected to any

continental mass during glacial periods (notably the Caribbean islands, Madagascar, New

Zealand and Wrangel), which had large animal faunas that survived until later because they

were protected by water barriers. This trend is often referred to as the Late Pleistocene

extinction wave, but when this view is broaden to encompass our modern biodiversity crisis,

the inaccuracy of this definition becomes clear. The demises of the megafauna on the last few

unexplored islands are well within historical period, and some actually post-date the first

written records of anthropogenic animal extinctions (Flannery & Shouten 2001). As history

goes, paleolithic men’s need for food led to the demise of demographically vulnerable

species. Now, after a few thousand years of technological advance, our much more efficient

exploitation of natural resources is destroying even more resilient taxa. That way, human-

induced extinctions on the late Quaternary form a single continuous wave, starting with men’s

departure from the African continent and persisting until this day.

Another consideration must be made about the ecological importance of so many

extinct megafaunal species. Large animals play a huge part on the characterization of the

habitats they live in, shaping the landscape around them and generating micro and

mesohabitats for smaller species (Janzen & Martin 1984, Dublin 1990, Zimov 2005, Doughty

et al. 2013). So, pinpointing specific ways in which today’s ecosystems are affected by the

loss of two thirds of its largest terrestrial vertebrates becomes a cumbersome task. Much of

the ecological communities’ structure, trophic relations and phytophysiognomies we see

today are the very consequence of the extirpation of so many megafaunal species that used to

roam the earth in a near past (Johnson 2009, Corlett 2013). Interestingly enough, this

perspective is not often taken into account. Ecological studies that refer to historically

defaunated and intact biotas commonly ignore the fact that most of today’s communities are

already impaired by the loss of the megafauna (Corlett 2013). Similarly, studies that

30

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investigate extinction risk on threatened groups many times fail to consider species that are

already extinct, and thus can inform the most about the subject (Turvey & Fritz 2011). Our

baseline (basal state of reference) is skewed by the fact that scientific registries never actually

coexisted with truly pristine environments outside of Africa (Corlett 2013).

The results presented in this dissertation offer new quantitative support for a global

pattern that has been pointed out by many authors along the last decades (Martin 1967,

Johnson 2002, Lyons et al. 2004, Gillespie 2008); human beings were responsible for the

extinction of a great number of large animal genera through the late Pleistocene and the

Holocene. Such realization should prompt us to rescue the true baselines of our ecosystems

and communities, and to employ this knowledge in the assessment of our present day natural

world (Corlett 2013). After all, climatic changes and overhunting are still pressing

conservation problems, and understanding how these factors affected past extinctions holds

great value to our assessment of present and future extinctions, and, most importantly, on how

to avoid them.

31

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APPENDIX I

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APPENDIX I

Supplementary Data

All dates gathered from literature that were ranked satisfactorily according to the

modified versions of the Mead-Meltzer scale (Tables 1 and 2, see Methods), along with

their results from calibration procedures, are compiled in the following tables (S1-S15).

Data is organized by landmass rather than geographical region (see Methods).

Human dates from the Caribbean, Madagascar and Wrangel were not tabled

because no reliable published anthropological dates were found in the consulted

literature. Thus, human arrival on each of these islands was set in accord to indirect

references (Steadman 2005 for the Caribbean, Burney 2004 for Madagascar and Guthrie

2004 for Wrangel). Human dates from Australia were also not tabled, because a broad

survey on the subject already existed in recent literature (Williams 2012), and its dates

were used as a database for anthropological dates on Australia.

a1

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Tab

le S

1 - M

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om S

outh

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a th

at r

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d 11

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ence

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ey (

2010

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199

Bar

nosk

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ey (

2010

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131

290

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2010

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10)

a2

Page 53: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Myl

odon

sp.

-45.

20-7

1.50

1251

030

1464

941

7L

ima-

Rib

eiro

(20

12)

Myl

odon

sp.

-51.

40-7

2.60

1282

511

015

435

693

Lim

a-R

ibei

ro (

2012

)M

ylod

onsp

.-3

1.60

-71.

0013

500

6516

636

263

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onsp

.-5

1.47

-72.

6012

720

300

1523

612

07B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

sp.

-51.

45-7

2.55

1363

050

1678

018

7L

ima-

Rib

eiro

(20

12)

Not

hrot

heri

umm

aqui

nens

e-1

1.00

-41.

0012

200

120

1431

754

5B

arno

sky

and

Lin

dsey

(20

10)

Pal

eola

ma

sp.

-31.

60-7

1.00

1031

030

1217

919

7L

ima-

Rib

eiro

(20

12)

Pan

ther

aon

cam

esem

brin

a-5

3.60

-68.

8011

085

7012

932

205

Lim

a-R

ibei

ro (

2012

)Sm

ilod

onpo

pula

tor

-19.

58-4

3.90

9260

150

1061

645

9L

ima-

Rib

eiro

(20

12)

Smil

odon

popu

lato

r-1

9.58

-43.

9091

3015

010

247

456

Bar

nosk

y an

d L

inds

ey (

2010

)Sm

ilod

onpo

pula

tor

-51.

45-7

2.55

1126

545

1318

911

4L

ima-

Rib

eiro

(20

12)

Smil

odon

popu

lato

r-5

1.45

-72.

5511

420

5013

281

125

Lim

a-R

ibei

ro (

2012

)T

oxod

onpl

aten

sis

-38.

18-6

0.55

1125

010

513

106

249

Bar

nosk

y an

d L

inds

ey (

2010

)T

oxod

onpl

aten

sis

-38.

18-6

0.55

1175

070

1359

618

1B

arno

sky

and

Lin

dsey

(20

10)

Tox

odon

plat

ensi

s-2

4.90

-48.

1011

090

4012

946

172

Bar

nosk

y an

d L

inds

ey (

2010

)T

oxod

onpl

aten

sis

-24.

90-4

8.10

1138

040

1324

811

1B

arno

sky

and

Lin

dsey

(20

10)

Glo

ssot

heri

umro

bust

us-3

8.18

-60.

5510

500

9012

357

250

Bar

nosk

y an

d L

inds

ey (

2010

)G

lypt

odon

cf.c

lavi

pes

10.5

0-7

2.15

2550

060

030

202

1011

Bar

nosk

y an

d L

inds

ey (

2010

)G

lypt

odon

cf.c

lavi

pes

10.5

0-7

2.15

2798

037

032

283

863

Bar

nosk

y an

d L

inds

ey (

2010

)H

ippi

dion

sald

iasi

-22.

36-6

8.92

2107

010

025

182

405

Bar

nosk

y an

d L

inds

ey (

2010

)H

ippi

dion

sald

iasi

-22.

36-6

8.92

2138

010

025

526

421

Bar

nosk

y an

d L

inds

ey (

2010

)H

olm

esin

aoc

cide

ntal

is10

.50

-72.

1541

000

1300

4462

419

92B

arno

sky

and

Lin

dsey

(20

10)

Hol

mes

ina

occi

dent

alis

10.5

0-7

2.15

4260

025

0046

447

3554

Bar

nosk

y an

d L

inds

ey (

2010

)A

rcto

ther

ium

sp.

-51.

60-7

1.50

1034

575

1217

934

6L

ima-

Rib

eiro

(20

12)

Equ

usne

ogeu

s-1

9.58

-43.

9016

250

6019

262

317

Bar

nosk

y an

d L

inds

ey (

2010

)E

quus

neog

eus

-19.

58-4

3.90

1618

070

1919

827

1B

arno

sky

and

Lin

dsey

(20

10)

Equ

usne

ogeu

s-3

8.20

-59.

0010

290

130

1198

457

2B

arno

sky

and

Lin

dsey

(20

10)

Glo

ssot

heri

umro

bust

us-2

8.20

-55.

5012

270

220

1441

967

9B

arno

sky

and

Lin

dsey

(20

10)

Glo

ssot

heri

umro

bust

us-2

8.20

-55.

5012

770

220

1526

610

76L

ima-

Rib

eiro

(20

12)

Hip

pidi

onsa

ldia

si-5

2.00

-69.

7011

210

5013

092

175

Lim

a-R

ibei

ro (

2012

)H

ippi

dion

sald

iasi

-52.

00-6

9.70

1199

090

1371

523

9L

ima-

Rib

eiro

(20

12)

Hip

pidi

onsp

.-5

3.60

-68.

8010

685

7012

590

159

Bar

nosk

y an

d L

inds

ey (

2010

)H

ippi

dion

sald

iasi

-53.

60-6

8.80

1254

070

1466

944

6L

ima-

Rib

eiro

(20

12)

Hip

pidi

onsp

.-3

4.75

-68.

4089

9090

1006

930

3B

arno

sky

and

Lin

dsey

(20

10)

Meg

athe

rium

amer

ican

um-3

8.00

-59.

0013

070

120

1582

866

9B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

sp.

-51.

40-7

2.60

1138

015

013

246

344

Lim

a-R

ibei

ro (

2012

)M

ylod

onsp

.-5

1.68

-70.

0310

295

6512

107

283

Lim

a-R

ibei

ro (

2012

)M

ylod

onsp

.-5

2.00

-69.

7012

165

8014

135

357

Lim

a-R

ibei

ro (

2012

)

a3

Page 54: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Myl

odon

darw

inii

-51.

45-7

2.55

1020

040

011

760

1076

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5510

400

330

1206

386

2B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1057

540

012

230

997

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5510

832

400

1243

110

27B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1088

030

012

683

698

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5511

775

480

1389

812

50B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1181

029

913

961

875

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5511

905

335

1405

091

7B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1202

046

014

247

1372

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5512

270

350

1447

811

19B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1228

548

014

790

1519

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5512

308

288

1445

097

6B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1244

015

014

568

544

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5512

496

148

1460

954

4B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1255

212

814

661

521

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5512

570

160

1475

270

0B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1287

010

015

551

621

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5512

984

7615

718

604

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5513

183

202

1595

577

9B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1326

111

516

091

691

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5513

470

189

1624

972

6B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1350

041

016

273

1253

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onda

rwin

ii-5

1.45

-72.

5513

500

470

1616

414

94B

arno

sky

and

Lin

dsey

(20

10)

Myl

odon

darw

inii

-51.

45-7

2.55

1356

019

016

350

726

Bar

nosk

y an

d L

inds

ey (

2010

)M

ylod

onsp

.-5

1.40

-72.

5011

590

100

1348

022

4L

ima-

Rib

eiro

(20

12)

Myl

odon

sp.

-51.

40-7

2.50

1105

060

1291

419

4L

ima-

Rib

eiro

(20

12)

Myl

odon

sp.

-51.

40-7

2.50

1340

090

1637

550

4L

ima-

Rib

eiro

(20

12)

Myl

odon

darw

inii

-51.

40-7

2.50

1299

049

015

452

1459

Bar

nosk

y an

d L

inds

ey (

2010

)Sc

elid

othe

rium

chil

ensi

s-7

.50

-79.

3089

1020

010

014

481

Bar

nosk

y an

d L

inds

ey (

2010

)Sc

elid

othe

rium

lept

ocep

halu

m-3

2.80

-64.

2075

5060

8324

125

Lim

a-R

ibei

ro (

2012

)St

egom

asto

don

war

ingi

11.4

0-7

3.00

1298

085

1572

161

3L

ima-

Rib

eiro

(20

12)

Steg

omas

todo

nw

arin

gi11

.40

-73.

0013

000

200

1580

283

4L

ima-

Rib

eiro

(20

12)

Steg

omas

todo

nw

arin

gi11

.40

-73.

0013

860

120

1703

633

8L

ima-

Rib

eiro

(20

12)

a4

Page 55: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

2 - M

egaf

auna

l dat

es fr

om C

arib

bean

that

ran

ked

11 o

r 12

on

the

mod

ified

Mea

d-M

eltz

er sc

ale

(see

Met

hods

; Tab

le 1

).

Gen

usSp

ecie

sL

atitu

deL

ongi

tude

14C

erro

r14

C (2σ)

erro

r (2σ)

Sour

ce r

efer

ence

Par

ocnu

sbr

owni

i22

.90

-82.

2549

6028

056

3666

3L

ima-

Rib

eiro

(20

12)

Meg

aloc

nus

rode

ns22

.89

-82.

3041

9040

4713

130

Lim

a-R

ibei

ro (

2012

)N

eocn

usco

mes

18.5

0-7

2.10

4391

4250

5720

5L

ima-

Rib

eiro

(20

12)

Neo

cnus

com

es18

.10

-74.

0044

8639

5138

160

Lim

a-R

ibei

ro (

2012

)N

eocn

usdo

usm

an19

.00

-70.

5071

4135

7946

71L

ima-

Rib

eiro

(20

12)

Par

ocnu

sbr

owni

i22

.89

-82.

2010

520

440

1209

611

96L

ima-

Rib

eiro

(20

12)

Par

ocnu

sbr

owni

i22

.89

-82.

2011

880

420

1401

311

27L

ima-

Rib

eiro

(20

12)

Neo

cnus

com

es18

.10

-72.

1061

6145

7081

150

Lim

a-R

ibei

ro (

2012

)N

eocn

usco

mes

18.1

0-7

4.00

6875

4777

1910

5L

ima-

Rib

eiro

(20

12)

Neo

cnus

com

es18

.10

-74.

0074

1151

8212

155

Lim

a-R

ibei

ro (

2012

)N

eocn

usco

mes

18.1

0-7

4.00

8326

5793

0416

7L

ima-

Rib

eiro

(20

12)

Neo

cnus

dous

man

18.1

0-7

2.10

9897

6511

404

203

Lim

a-R

ibei

ro (

2012

)P

aroc

nus

brow

nii

22.8

5-8

2.20

6250

5071

3913

2L

ima-

Rib

eiro

(20

12)

a5

Page 56: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

3 - M

egaf

auna

l dat

es fr

om N

orth

Am

eric

a th

at r

anke

d 11

or

12 o

n th

e m

odifi

ed M

ead-

Mel

tzer

scal

e (s

ee M

etho

ds; T

able

1).

Gen

usSp

ecie

sL

atitu

deL

ongi

tude

14C

erro

r14

C (2σ)

erro

r (2σ)

Sour

ce r

efer

ence

Arc

todu

ssi

mus

39.5

0-1

11.3

010

870

7512

764

171

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us40

.90

-83.

2011

480

6013

331

135

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us40

.90

-83.

2011

570

7013

444

175

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us40

.90

-83.

2011

570

5013

432

149

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us40

.90

-83.

2011

610

9013

488

209

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us39

.10

-94.

9010

921

5012

790

155

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us39

.10

-94.

9011

688

5013

550

164

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us41

.00

-114

.10

1265

070

1486

459

9L

ima-

Rib

eiro

(20

12)

Arc

todu

ssi

mus

39.5

0-1

11.3

010

976

4012

865

199

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us40

.60

-112

.00

1265

070

1486

459

9L

ima-

Rib

eiro

(20

12)

Arc

todu

ssi

mus

41.3

0-8

6.20

1150

052

013

594

1441

Lim

a-R

ibei

ro (

2012

)A

rcto

dus

sim

us40

.90

-83.

2011

566

4013

418

137

Lim

a-R

ibei

ro (

2012

)B

ison

anti

quus

38.9

0-1

01.1

010

520

7012

379

235

Lim

a-R

ibei

ro (

2012

)B

ison

anti

quus

38.6

0-9

2.20

1177

040

1360

615

8L

ima-

Rib

eiro

(20

12)

Bis

onoc

cide

ntal

is56

.10

-120

.10

1034

015

012

050

547

Lim

a-R

ibei

ro (

2012

)B

ison

occi

dent

alis

56.1

0-1

20.1

010

580

210

1234

459

2L

ima-

Rib

eiro

(20

12)

Bis

onoc

cide

ntal

is56

.10

-120

.10

1060

016

012

426

417

Lim

a-R

ibei

ro (

2012

)B

ison

anti

quus

34.1

0-1

01.6

091

1090

1025

230

6L

ima-

Rib

eiro

(20

12)

Bis

onan

tiqu

us42

.70

-106

.20

1014

017

011

816

570

Lim

a-R

ibei

ro (

2012

)B

ison

occi

dent

alis

51.2

0-1

14.5

011

100

160

1296

830

8L

ima-

Rib

eiro

(20

12)

Bis

onoc

cide

ntal

is51

.20

-114

.50

1137

017

013

237

392

Lim

a-R

ibei

ro (

2012

)B

ison

occi

dent

alis

56.1

0-1

20.1

010

230

140

1193

658

1L

ima-

Rib

eiro

(20

12)

Bis

onoc

cide

ntal

is56

.10

-120

.10

1075

018

012

617

471

Lim

a-R

ibei

ro (

2012

)B

ison

preo

ccid

enta

lis

65.1

0-1

47.3

011

735

130

1357

926

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ima-

Rib

eiro

(20

12)

Bis

onpr

iscu

s65

.10

-147

.20

1198

013

513

805

337

Lim

a-R

ibei

ro (

2012

)B

ison

anti

quus

51.0

0-1

14.0

011

300

290

1318

455

3L

ima-

Rib

eiro

(20

12)

Bis

onoc

cide

ntal

is51

.30

-114

.50

1076

016

012

655

436

Lim

a-R

ibei

ro (

2012

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ison

occi

dent

alis

39.5

0-1

05.1

089

5035

010

185

921

Lim

a-R

ibei

ro (

2012

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ison

cras

sico

rnis

64.1

0-1

41.9

010

370

160

1206

255

4L

ima-

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eiro

(20

12)

Bis

onoc

cide

ntal

is51

.70

-113

.10

9630

300

1110

388

8L

ima-

Rib

eiro

(20

12)

Bis

onoc

cide

ntal

is51

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9670

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1105

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ima-

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Bis

onoc

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020

635

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ima-

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onoc

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4011

363

865

1346

326

69L

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1191

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013

758

419

Lim

a-R

ibei

ro (

2012

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ison

cras

sico

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67.8

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275

180

1440

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Bis

oncr

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634

807

Lim

a-R

ibei

ro (

2012

)

a6

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Bis

oncr

assi

corn

is67

.80

-139

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1472

748

4L

ima-

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eiro

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12)

Bis

onan

tiqu

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.40

1227

577

514

773

2042

Lim

a-R

ibei

ro (

2012

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ison

anti

quus

40.6

0-1

11.9

011

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210

1390

861

1L

ima-

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eiro

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12)

Bis

onal

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36.8

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160

1027

048

7L

ima-

Rib

eiro

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12)

Bis

onpr

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.10

-147

.30

1246

032

014

864

1192

Lim

a-R

ibei

ro (

2012

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ison

anti

quus

30.3

0-8

3.90

9990

200

1159

578

5L

ima-

Rib

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12)

Bis

onan

tiqu

us30

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-83.

9011

170

130

1301

028

6L

ima-

Rib

eiro

(20

12)

Bis

onan

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us49

.90

-113

.90

1113

090

1298

324

4L

ima-

Rib

eiro

(20

12)

Boo

ther

ium

bom

bifr

ons

49.9

0-1

13.9

010

980

8012

876

210

Lim

a-R

ibei

ro (

2012

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ooth

eriu

mbo

mbi

fron

s40

.60

-112

.00

1169

019

013

554

369

Lim

a-R

ibei

ro (

2012

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amel

ops

sp.

42.7

0-1

06.2

011

190

5013

073

180

Lim

a-R

ibei

ro (

2012

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amel

ops

sp.

41.0

0-1

09.4

011

180

4513

061

175

Lim

a-R

ibei

ro (

2012

)C

amel

ops

hest

ernu

s39

.40

-114

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1139

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812

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ima-

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12)

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elop

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12)

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3011

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536

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Lim

a-R

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ro (

2012

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roid

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sis

40.9

0-8

3.20

1085

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1010

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250

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5.30

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12)

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valc

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518

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Rib

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12)

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41.3

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1401

921

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Cer

valc

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otti

41.3

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4.50

1103

015

012

916

289

Lim

a-R

ibei

ro (

2012

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erva

lces

scot

ti40

.20

-82.

3011

500

130

1338

927

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ima-

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eiro

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12)

Cer

valc

essc

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3.20

1259

045

015

148

1460

Lim

a-R

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ro (

2012

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erva

lces

scot

ii40

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-83.

2012

840

100

1551

462

5L

ima-

Rib

eiro

(20

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Cer

valc

essc

otti

40.9

0-8

3.20

1252

017

014

616

616

Lim

a-R

ibei

ro (

2012

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quus

sp.

40.4

0-1

19.5

012

280

520

1481

715

95L

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eiro

(20

12)

Equ

ussp

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-99.

5011

410

6013

273

133

Lim

a-R

ibei

ro (

2012

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quus

sp.

49.2

0-1

12.1

011

180

150

1301

331

1L

ima-

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eiro

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12)

Equ

ussp

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8097

0055

011

142

1463

Lim

a-R

ibei

ro (

2012

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quus

sp.

67.1

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40.8

012

290

440

1472

114

31L

ima-

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eiro

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12)

Equ

usla

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1290

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015

613

628

Lim

a-R

ibei

ro (

2012

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quus

sp.

32.4

0-1

04.5

010

730

150

1260

345

3L

ima-

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Equ

ussp

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-99.

9093

1031

010

456

857

Lim

a-R

ibei

ro (

2012

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quus

fe

rus

64.8

0-1

48.0

012

510

130

1463

251

3L

ima-

Rib

eiro

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12)

Equ

us

feru

s64

.80

-148

.00

1258

014

014

755

661

Lim

a-R

ibei

ro (

2012

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quus

sp

.40

.40

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1121

050

1309

217

5L

ima-

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Equ

us

sp.

40.4

0-1

19.5

011

350

4013

225

102

Lim

a-R

ibei

ro (

2012

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quus

fe

rus

64.9

0-1

47.6

012

560

140

1466

055

7L

ima-

Rib

eiro

(20

12)

a7

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Equ

us

sp.

42.9

0-1

20.7

011

130

4012

984

175

Lim

a-R

ibei

ro (

2012

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quus

co

nver

side

ns50

.00

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1087

045

1275

714

2L

ima-

Rib

eiro

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12)

Equ

us

sp.

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09.4

011

530

5013

379

126

Lim

a-R

ibei

ro (

2012

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quus

fe

rus

65.1

0-1

47.3

012

482

8014

613

451

Lim

a-R

ibei

ro (

2012

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quus

co

nver

side

ns49

.90

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1133

070

1322

613

3L

ima-

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Equ

us

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50.1

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280

200

1311

944

2L

ima-

Rib

eiro

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12)

Equ

us

sp.

34.1

0-1

18.4

010

940

510

1254

512

62L

ima-

Rib

eiro

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12)

Euc

erat

heri

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.40

.20

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1195

050

1381

315

0L

ima-

Rib

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12)

Euc

erat

heri

umco

llin

um37

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1163

015

013

507

293

Lim

a-R

ibei

ro (

2012

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loss

othe

rium

harl

ani

45.3

0-1

18.1

011

030

800

1283

722

62L

ima-

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12)

Mam

mut

amer

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5011

390

8013

261

148

Lim

a-R

ibei

ro (

2012

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amm

utam

eric

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43.0

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9.00

1078

060

1270

113

5L

ima-

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mut

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784

167

Lim

a-R

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ro (

2012

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amm

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43.0

0-8

9.00

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060

1298

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mut

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mut

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190

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Mam

mut

amer

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0011

770

110

1361

123

4L

ima-

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Mam

mut

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um43

.00

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2010

630

8012

556

165

Lim

a-R

ibei

ro (

2012

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amm

utam

eric

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43.0

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8.20

1079

070

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614

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ima-

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Mam

mut

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203

Lim

a-R

ibei

ro (

2012

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amm

utam

eric

anum

43.0

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080

1294

522

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Mam

mut

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2011

390

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261

148

Lim

a-R

ibei

ro (

2012

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amm

utam

eric

anum

43.0

0-7

8.20

1070

580

1261

218

4L

ima-

Rib

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(20

12)

Mam

mut

amer

ican

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2010

810

5012

719

137

Lim

a-R

ibei

ro (

2012

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amm

utam

eric

anum

43.0

0-7

8.20

1099

010

012

879

223

Lim

a-R

ibei

ro (

2012

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amm

utam

eric

anum

40.2

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2.30

1139

080

1326

114

8L

ima-

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Mam

mut

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6340

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Lim

a-R

ibei

ro (

2012

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amm

utam

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anum

41.0

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6.00

1003

240

1154

121

0L

ima-

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Mam

mut

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055

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575

229

Lim

a-R

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ro (

2012

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amm

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1288

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350

322

Lim

a-R

ibei

ro (

2012

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amm

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140

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a8

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Mam

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Lim

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244

Lim

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200

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2012

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2012

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colu

mbi

43.9

5-1

08.0

010

950

3012

802

142

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.64

.00

-139

.00

1186

012

013

691

269

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.64

.00

-145

.80

1154

014

013

429

287

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.40

.00

-104

.90

1059

050

012

113

1315

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sco

lum

bi40

.00

-104

.90

1094

060

1285

021

1L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

40.0

0-1

04.9

010

940

3012

796

138

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.40

.00

-104

.90

1095

048

012

588

1194

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sco

lum

bi40

.00

-104

.90

1096

070

1286

420

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

40.0

0-1

04.9

011

065

3512

930

173

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.35

.30

-98.

0010

690

640

1221

016

20L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

35.3

0-9

8.00

1082

027

012

644

640

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.35

.30

-98.

0011

010

710

1279

520

38L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

35.3

0-9

8.00

1148

045

013

627

1209

Lim

a-R

ibei

ro (

2012

)

a9

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Mam

mut

hus

colu

mbi

35.3

0-9

8.00

1081

042

012

404

1057

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sco

lum

bi35

.30

-98.

0010

860

450

1248

711

33L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

35.3

0-9

8.00

1096

030

1280

814

9L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

35.3

0-9

8.00

1148

045

013

627

1209

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.65

.00

-147

.60

1242

917

814

549

597

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.70

.80

-155

.80

1250

814

514

621

540

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.42

.90

-76.

9010

890

5012

771

147

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.64

.80

-156

.90

1150

016

013

417

325

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.65

.00

-147

.60

1212

388

1398

423

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

65.0

0-1

47.6

012

576

147

1475

367

4L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

42.5

0-8

8.00

1248

060

1461

043

3L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

42.5

0-8

8.00

1252

050

1465

643

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

prim

igen

ius

43.0

0-7

8.20

1081

050

1271

913

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

39.5

0-1

11.3

011

220

110

1305

626

5L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

69.9

0-1

54.8

012

190

130

1431

355

6L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

69.9

0-1

54.8

012

490

170

1459

959

2L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

43.4

0-1

02.5

010

710

130

1255

337

9L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

43.4

0-1

02.5

011

110

4012

962

170

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sco

lum

bi46

.50

-106

.00

1217

540

1402

115

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

46.5

0-1

06.0

012

330

5014

455

437

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.42

.50

-81.

7012

130

8013

985

212

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sex

ilis

34.0

0-1

20.0

011

030

5012

904

189

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sex

ilis

34.0

0-1

20.0

012

840

410

1537

813

55L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

exil

is34

.00

-120

.00

1284

041

015

378

1355

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.42

.60

-88.

0012

310

6014

434

455

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.64

.30

-146

.00

1206

070

1392

417

3L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

66.0

0-1

40.0

011

990

130

1381

333

1L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

39.0

0-1

09.5

012

800

370

1533

913

08L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

36.5

0-9

9.10

1199

017

013

947

546

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1167

030

013

498

732

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1185

016

013

694

336

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1262

022

014

954

965

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1290

016

015

681

808

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1232

016

014

446

580

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1239

012

014

527

509

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1239

014

014

527

538

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1240

025

014

602

860

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1243

015

014

561

545

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1243

030

014

767

1099

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.37

.30

-110

.80

1247

014

014

591

528

Lim

a-R

ibei

ro (

2012

)

a10

Page 61: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Mam

mut

hus

sp.

37.3

0-1

10.8

012

570

100

1468

448

3L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.3

0-1

10.8

012

570

130

1467

153

8L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.3

0-1

10.8

012

610

140

1480

567

3L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.3

0-1

10.8

012

620

130

1481

165

9L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.3

0-1

10.8

012

880

140

1565

375

6L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.3

0-1

10.8

013

040

280

1573

510

60L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.3

0-1

10.8

013

505

580

1603

817

97L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

43.9

5-1

08.0

010

864

141

1282

626

5L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

43.9

5-1

08.0

011

200

220

1304

441

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

63.6

0-1

56.0

012

980

250

1567

410

32L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

38.3

0-1

10.2

011

020

180

1292

532

2L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

38.3

0-1

10.2

011

810

140

1365

529

3L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

38.3

0-1

10.2

012

070

210

1415

671

4L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

38.3

0-1

10.2

012

320

160

1444

658

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

40.0

0-1

04.9

011

200

500

1281

514

01L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

50.0

0-1

14.1

011

170

6013

052

202

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.35

.30

-98.

0011

200

500

1281

514

01L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

35.3

0-9

8.00

1122

050

012

983

1477

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.41

.90

-88.

0013

130

350

1573

211

70L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

39.6

0-1

02.3

011

710

150

1356

628

9L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

44.5

0-6

3.60

1227

060

1438

247

1L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

29.9

0-8

2.00

9840

190

1134

463

5L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

39.5

0-1

11.3

010

800

250

1264

359

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

51.8

0-1

14.6

010

240

325

1177

695

6L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

colu

mbi

39.4

0-1

05.0

010

200

350

1173

896

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

50.8

0-1

08.1

012

000

200

1408

671

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

39.5

0-1

05.1

011

735

9513

587

211

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.39

.50

-105

.10

1314

010

0015

825

2642

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.43

.40

-102

.50

1073

053

012

409

1317

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.40

.60

-100

.60

1209

095

1396

023

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

jeff

erso

nii

43.0

0-8

4.00

1148

040

013

526

979

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sim

pera

tor

46.5

0-1

06.0

011

500

8013

368

195

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.42

.20

-80.

2012

210

120

1432

554

3L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

67.8

0-1

39.8

013

820

840

1637

322

35L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

43.0

0-1

16.5

010

920

150

1284

727

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

43.0

0-1

16.5

012

250

200

1439

964

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

56.0

0-1

20.0

011

600

1000

1393

728

34L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

41.8

0-8

6.50

8260

300

9268

845

Lim

a-R

ibei

ro (

2012

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amm

uthu

ssp

.38

.90

-109

.30

1035

011

012

165

394

Lim

a-R

ibei

ro (

2012

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amm

uthu

spr

imig

eniu

s43

.50

-81.

0010

790

150

1274

933

5L

ima-

Rib

eiro

(20

12)

a11

Page 62: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Mam

mut

hus

sp.

40.5

0-1

11.9

088

1510

098

6930

7L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

exil

is34

.00

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.00

1180

080

014

239

2397

Lim

a-R

ibei

ro (

2012

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amm

uthu

ssp

.52

.20

-106

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1200

032

014

151

882

Lim

a-R

ibei

ro (

2012

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amm

uthu

ssp

.39

.50

-119

.90

1044

049

012

007

1243

Lim

a-R

ibei

ro (

2012

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amm

uthu

sje

ffer

soni

i43

.60

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0096

8050

011

168

1390

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

ssp

.65

.80

-163

.20

1136

010

013

213

232

Lim

a-R

ibei

ro (

2012

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amm

uthu

ssp

.44

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1011

280

7013

145

185

Lim

a-R

ibei

ro (

2012

)M

amm

uthu

sim

pera

tor

51.3

0-1

07.7

010

600

140

1241

235

0L

ima-

Rib

eiro

(20

12)

Mam

mut

hus

sp.

37.5

0-1

11.9

012

010

160

1395

853

3L

ima-

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eiro

(20

12)

Meg

alon

yx je

ffer

soni

i41

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7011

430

6013

289

135

Lim

a-R

ibei

ro (

2012

)M

egal

onyx

jeff

erso

nii

41.5

0-8

9.70

1148

540

1334

610

3L

ima-

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12)

Meg

alon

yx je

ffer

soni

i41

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7011

530

7013

412

172

Lim

a-R

ibei

ro (

2012

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egal

onyx

jeff

erso

nii

41.5

0-8

9.70

1171

080

1357

019

5L

ima-

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12)

Myl

ohyu

sna

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s40

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2011

860

4013

669

180

Lim

a-R

ibei

ro (

2012

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othr

othe

riop

ssh

aste

nse

32.0

0-1

07.0

011

606

5013

464

160

Lim

a-R

ibei

ro (

2012

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othr

othe

riop

ssh

aste

nse

32.0

0-1

07.0

011

080

200

1295

935

1L

ima-

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eiro

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12)

Not

hrot

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ops

shas

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e36

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1095

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821

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ima-

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12)

Not

hrot

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ops

sp.

31.8

0-1

04.8

010

670

140

1251

037

1L

ima-

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eiro

(20

12)

Not

hrot

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ops

sp.

31.8

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04.8

010

750

140

1264

942

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ima-

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12)

Not

hrot

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sp.

31.8

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04.8

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760

150

1265

643

2L

ima-

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eiro

(20

12)

Not

hrot

heri

ops

sp.

31.8

0-1

04.8

011

020

180

1292

532

2L

ima-

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eiro

(20

12)

Not

hrot

heri

ops

sp.

31.8

0-1

04.8

011

590

230

1345

148

6L

ima-

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eiro

(20

12)

Not

hrot

heri

ops

shas

tens

e36

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1100

510

012

885

225

Lim

a-R

ibei

ro (

2012

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othr

othe

riop

ssh

aste

nse

36.2

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14.8

011

080

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a12

Page 63: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Not

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a13

Page 64: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

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Page 65: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

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a15

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a16

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a18

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a19

Page 70: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Mam

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a20

Page 71: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Mam

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a21

Page 72: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

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.52

101.

5841

580

1190

4509

219

94K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

71.2

015

0.30

4175

012

9045

382

2307

Kuz

min

& O

rlov

a 20

04M

amm

uthu

spr

imig

eniu

s72

.40

106.

0041

900

800

4534

211

88K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

59.0

064

.00

4190

080

045

342

1188

Kuz

min

& O

rlov

a 20

04M

amm

uthu

spr

imig

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.16

153.

4542

400

800

4574

713

48K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

73.3

214

1.38

4270

013

0046

545

2465

Kuz

min

& O

rlov

a 20

04M

amm

uthu

spr

imig

eniu

s72

.30

104.

3042

800

800

4619

815

51K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

53.0

010

3.50

4310

024

0046

681

3320

Kuz

min

& O

rlov

a 20

04M

amm

uthu

spr

imig

eniu

s74

.42

107.

5843

160

1280

4687

723

97K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

73.0

011

9.00

4320

040

046

262

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Kuz

min

& O

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a 20

04M

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uthu

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.05

93.1

043

500

1000

4706

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41K

uzm

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ova

2004

Mam

mut

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ius

74.4

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7.58

4350

010

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2041

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uthu

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93.5

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8800

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uzm

in &

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ova

2004

Mam

mut

hus

prim

igen

ius

68.4

516

1.15

4370

080

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139

1773

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min

& O

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a 20

04M

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uthu

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s68

.58

147.

0844

540

1900

4753

524

65K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

70.8

397

.00

4500

010

0048

171

1829

Kuz

min

& O

rlov

a 20

04M

amm

uthu

spr

imig

eniu

s73

.00

119.

0045

500

1200

4820

717

93K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

69.0

014

7.30

4610

010

0048

494

1506

Kuz

min

& O

rlov

a 20

04M

amm

uthu

spr

imig

eniu

s74

.05

93.1

046

100

1200

4836

016

41K

uzm

in &

Orl

ova

2004

Mam

mut

hus

prim

igen

ius

75.0

014

9.00

9650

6010

988

213

Kuz

min

201

0M

amm

uthu

spr

imig

eniu

s60

.45

44.4

510

000

800

1143

419

53K

uzm

in 2

010

Mam

mut

hus

prim

igen

ius

60.9

568

.53

1021

013

511

878

532

Kuz

min

201

0M

amm

uthu

spr

imig

eniu

s59

.38

62.3

311

080

160

1295

830

6K

uzm

in 2

010

Mam

mut

hus

prim

igen

ius

54.6

780

.35

1109

012

012

949

269

Kuz

min

201

0M

amm

uthu

spr

imig

eniu

s60

.95

68.5

311

310

380

1321

480

4K

uzm

in 2

010

Mam

mut

hus

prim

igen

ius

60.9

568

.53

1184

095

1366

122

7K

uzm

in 2

010

Mam

mut

hus

prim

igen

ius

72.1

210

4.00

1480

050

1809

539

8L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s54

.50

80.2

014

800

150

1807

645

0L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s44

.90

1.02

1485

035

017

934

764

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enze

n et

al 2

011

Mam

mut

hus

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ius

43.0

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4.00

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017

018

165

419

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enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

72.3

613

9.73

1500

070

1826

927

7L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s65

.00

171.

0015

100

7018

308

282

Lor

enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

51.7

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1510

020

018

279

431

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enze

n et

al 2

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Mam

mut

hus

prim

igen

ius

52.8

330

.97

1510

025

018

259

530

Lor

enze

n et

al 2

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Mam

mut

hus

prim

igen

ius

53.3

334

.33

1511

053

018

268

1116

Lor

enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

68.4

515

0.00

1513

050

1831

928

5L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s59

.24

62.3

415

150

280

1828

358

4L

oren

zen

et a

l 201

1

a22

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Mam

mut

hus

prim

igen

ius

68.4

515

0.00

1520

080

1835

331

2L

oren

zen

et a

l 201

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amm

uthu

spr

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s44

.15

131.

7815

300

140

1843

639

5L

oren

zen

et a

l 201

1M

amm

uthu

spr

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eniu

s71

.00

179.

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400

100

1868

419

4L

oren

zen

et a

l 201

1M

amm

uthu

spr

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s61

.05

68.5

715

420

215

1862

961

1L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s75

.00

138.

0015

420

100

1868

817

7L

oren

zen

et a

l 201

1M

amm

uthu

spr

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s48

.52

15.6

815

560

200

1879

258

3L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s52

.67

33.2

815

660

180

1895

137

9L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s50

.07

8.53

1581

041

018

955

917

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enze

n et

al 2

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mut

hus

prim

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ius

60.3

725

.43

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015

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103

317

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n et

al 2

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Mam

mut

hus

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igen

ius

62.4

213

3.00

1600

030

019

220

610

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n et

al 2

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mut

hus

prim

igen

ius

58.5

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.05

1600

038

519

299

763

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enze

n et

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Mam

mut

hus

prim

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ius

55.2

959

.29

1613

031

019

326

659

Lor

enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

64.4

0-1

47.0

016

168

209

1933

450

3L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s54

.10

61.4

016

300

300

1949

665

6L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s55

.92

92.3

316

300

600

1961

614

78L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s53

.33

34.3

316

300

700

1964

116

03L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s59

.24

62.3

416

320

450

1951

890

6L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s75

.30

105.

0016

330

100

1942

144

7L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s51

.70

36.0

016

565

270

1966

368

6L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s59

.24

62.3

416

700

240

1989

047

0L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s51

.70

36.0

016

960

420

2037

598

2L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s59

.38

62.3

317

050

160

2027

668

4L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s52

.85

86.6

817

100

390

2039

792

4L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s55

.92

92.3

317

200

230

2045

281

3L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

eniu

s52

.01

86.3

217

220

245

2046

883

0L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

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s57

.23

112.

2517

290

100

2067

044

3L

oren

zen

et a

l 201

1M

amm

uthu

spr

imig

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s42

.17

2.74

1732

029

020

654

756

Lor

enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

44.1

513

1.78

1740

015

020

780

487

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enze

n et

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011

Mam

mut

hus

prim

igen

ius

57.2

211

1.83

1745

010

020

813

435

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mut

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70.1

175

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1750

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020

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52.0

186

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1760

050

020

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mut

hus

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57.3

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011

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mut

hus

prim

igen

ius

42.1

72.

7417

720

290

2112

080

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oren

zen

et a

l 201

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spr

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s70

.00

125.

0017

780

8021

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470

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Mam

mut

hus

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54.5

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Mam

mut

hus

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59.2

762

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1781

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Mam

mut

hus

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54.2

569

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1793

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353

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mut

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a23

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Mam

mut

hus

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49.6

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56.0

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zen

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mut

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Mam

mut

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mut

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mut

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mut

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52.8

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1888

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mut

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022

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289

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mut

hus

prim

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55.1

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558

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mut

hus

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ius

57.0

763

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1899

034

022

650

916

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Mam

mut

hus

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ius

50.5

529

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1900

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022

717

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Mam

mut

hus

prim

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ius

51.2

939

.00

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022

792

492

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Mam

mut

hus

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ius

55.6

488

.00

1919

031

022

961

742

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n et

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Mam

mut

hus

prim

igen

ius

56.5

827

.50

1920

020

022

913

542

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n et

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011

Mam

mut

hus

prim

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ius

45.8

228

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1920

035

022

987

840

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n et

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011

Mam

mut

hus

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ius

49.6

331

.40

1928

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mut

hus

prim

igen

ius

52.4

4-2

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1930

070

023

067

1678

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enze

n et

al 2

011

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mut

hus

prim

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ius

44.3

88.

9819

400

230

2310

664

0L

oren

zen

et a

l 201

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amm

uthu

spr

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eniu

s53

.55

92.0

019

500

200

2320

661

6L

oren

zen

et a

l 201

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amm

uthu

spr

imig

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s39

.89

-98.

0319

530

8023

198

508

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enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

79.9

094

.58

1964

033

023

389

870

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enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

53.5

592

.00

1970

020

023

410

727

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enze

n et

al 2

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Mam

mut

hus

prim

igen

ius

59.3

862

.33

1971

020

523

431

744

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n et

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Mam

mut

hus

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52.0

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1980

035

023

529

915

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n et

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Mam

mut

hus

prim

igen

ius

51.2

939

.00

1986

020

023

780

565

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enze

n et

al 2

011

Mam

mut

hus

prim

igen

ius

53.0

010

3.50

1990

080

023

809

2015

Lor

enze

n et

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011

Mam

mut

hus

prim

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ius

73.5

310

5.82

1991

013

023

809

423

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enze

n et

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011

Mam

mut

hus

prim

igen

ius

55.0

590

.00

1996

080

2384

837

5L

oren

zen

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l 201

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uthu

spr

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s79

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96.7

519

970

110

2386

340

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oren

zen

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spr

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s51

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-4.2

419

980

220

2388

354

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zen

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spr

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s75

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138.

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oren

zen

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1

a24

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Mam

mut

hus

prim

igen

ius

71.0

0-1

79.0

020

000

110

2389

340

3L

oren

zen

et a

l 201

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uthu

spr

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.00

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2240

030

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862

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n et

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011

Mam

mut

hus

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ius

71.0

0-1

79.0

022

400

200

2701

174

5L

oren

zen

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l 201

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spr

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s55

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88.0

022

410

200

2702

074

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oren

zen

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l 201

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uthu

spr

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s55

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88.0

022

450

200

2705

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oren

zen

et a

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spr

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s57

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112.

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480

420

2703

310

81L

oren

zen

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a25

Page 76: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

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a26

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a27

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a28

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a29

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801

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76.0

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l 200

2

a31

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Mam

mut

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71.1

676

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a32

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Mam

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a33

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Mam

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a34

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a35

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a36

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a38

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a39

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a40

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aeus

46.1

314

.00

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147

1444

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her

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57.7

758

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198

696

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her

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46.1

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her

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47.6

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her

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46.3

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her

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45.0

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845

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her

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rsus

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47.8

314

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087

045

710

1464

Pac

her

& S

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47.7

812

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045

614

873

Pac

her

& S

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8U

rsus

spel

aeus

47.2

215

.35

4240

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0046

229

2787

Pac

her

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t 200

8U

rsus

spel

aeus

46.3

216

.74

4262

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5046

375

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Pac

her

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aeus

46.3

216

.74

4266

090

046

147

1711

Pac

her

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tuar

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45.0

521

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4290

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762

2705

Pac

her

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spel

aeus

46.1

314

.00

4300

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0046

258

3743

Pac

her

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48.6

715

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332

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her

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46.3

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9047

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her

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46.6

512

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her

& S

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her

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46.3

014

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her

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014

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2038

Pac

her

& S

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814

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6047

987

2013

Pac

her

& S

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rsus

spel

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46.1

314

.00

4590

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0047

971

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her

& S

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her

& S

tuar

t 200

8

a41

Page 92: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

5 - M

egaf

auna

l dat

es fr

om J

apan

tha

t wer

e ac

cept

ed a

ccor

ding

to a

utho

rs' c

rite

ria

(see

Met

hods

; Tab

le 1

).

Gen

usSp

ecie

s14

Cer

ror

14C

(2σ)

erro

r (2σ)

Sour

ce r

efer

ence

Bis

onsp

.17

900

9021

318

299

Iwas

e et

al 2

012

Cer

vus

sp.

1397

090

1710

631

0Iw

ase

et a

l 201

2M

amm

uthu

spr

imig

eniu

s19

530

8023

198

508

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

2024

367

024

165

1692

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

2070

012

024

700

331

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

2368

088

028

267

2016

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

2381

688

428

355

2039

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

2501

012

029

876

359

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

3740

025

042

138

447

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

3892

076

043

233

1126

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

4285

051

045

997

926

Iwas

e et

al 2

012

Mam

mut

hus

prim

igen

ius

4511

048

048

286

1455

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni23

600

130

2832

335

7Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

2578

012

030

614

304

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni27

580

490

3207

894

4Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

2900

030

033

694

865

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni29

200

870

3334

718

30Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3052

022

035

386

770

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni31

270

160

3576

760

8Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3362

081

038

508

1913

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni34

010

180

3900

448

9Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3450

067

039

436

1678

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni35

330

200

4045

873

5Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3732

011

6041

902

2129

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni37

990

250

4250

946

1Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3828

026

042

697

475

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni38

310

1400

4274

721

84Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3850

060

042

952

954

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni38

820

1580

4313

023

93Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

3968

029

043

735

588

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni40

130

1080

4403

515

42Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

4077

012

0044

446

1754

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni41

520

1020

4497

116

02Iw

ase

et a

l 201

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alae

olox

odon

naum

anni

4170

012

6045

292

2216

Iwas

e et

al 2

012

Pal

aeol

oxod

onna

uman

ni41

770

1470

4560

126

70Iw

ase

et a

l 201

2

a42

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Pal

aeol

oxod

onna

uman

ni42

420

1500

4625

027

86Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

4252

099

046

107

1860

Iwas

e et

al 2

012

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aeol

oxod

onna

uman

ni42

540

1420

4638

926

72Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

4267

011

2046

392

2151

Iwas

e et

al 2

012

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aeol

oxod

onna

uman

ni43

310

1200

4697

022

93Iw

ase

et a

l 201

2P

alae

olox

odon

naum

anni

4335

111

6446

994

2248

Iwas

e et

al 2

012

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aeol

oxod

onna

uman

ni43

520

1340

4715

324

16Iw

ase

et a

l 201

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olox

odon

naum

anni

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011

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1898

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e et

al 2

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aeol

oxod

onna

uman

ni45

120

1350

4802

419

76Iw

ase

et a

l 201

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alae

olox

odon

naum

anni

4581

012

9048

236

1764

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e et

al 2

012

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aeol

oxod

onna

uman

ni46

230

2430

4766

623

34Iw

ase

et a

l 201

2Si

nom

egac

eros

yabe

i40

560

1500

4432

622

51Iw

ase

et a

l 201

2Si

nom

egac

eros

yabe

i41

250

1190

4478

918

54Iw

ase

et a

l 201

2

a43

Page 94: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

6 - M

egaf

auna

l dat

es fr

om M

adag

asca

r th

at w

ere

acce

pted

acc

ordi

ng to

aut

hors

' cri

teri

a (s

ee M

etho

ds; T

able

1).

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usSp

ecie

s14

Cer

ror

14C

(2σ)

erro

r (2σ)

Sour

ce r

efer

ence

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yorn

issp

.39

6015

044

1142

1B

urne

y 20

04A

epyo

rnis

sp.

2375

100

2442

285

Bur

ney

2004

Aep

yorn

issp

.27

7595

2969

229

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ney

2004

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yorn

ism

axim

us18

3060

1751

144

Bur

ney

2004

Aep

yorn

issp

.10

0015

096

429

1B

urne

y 20

04A

epyo

rnis

sp.

1150

9011

0017

4B

urne

y 20

04A

epyo

rnis

sp.

1415

4013

3351

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ney

2004

Aep

yorn

issp

.22

8540

2256

99B

urne

y 20

04A

epyo

rnis

sp.

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8531

0123

2B

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y 20

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rnis

sp.

5210

140

5972

310

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ney

2004

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yorn

issp

.44

9640

5141

161

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ney

2004

Arc

haeo

indr

isfo

ntoy

nont

ii22

9155

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154

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ney

2004

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haeo

indr

isfo

ntoy

nont

ii24

0245

2521

179

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ney

2004

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chel

one

abru

pta

750

370

652

655

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ney

2004

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chel

one

sp.

1540

4514

3794

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wle

y 20

10G

eoch

elon

esp

.17

4530

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80C

row

ley

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chel

one

sp.

1755

2516

4879

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wle

y 20

10G

eoch

elon

esp

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0025

2605

118

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wle

y 20

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eoch

elon

esp

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3530

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wle

y 20

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eoch

elon

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.25

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126

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wle

y 20

10G

eoch

elon

esp

.26

0530

2698

75C

row

ley

2010

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chel

one

sp.

3025

3532

1313

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row

ley

2010

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chel

one

sp.

6300

5072

2019

3C

row

ley

2010

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chel

one

sp.

6450

160

7302

318

Cro

wle

y 20

10H

ippo

pota

mus

sp.

1970

5019

3511

7B

urne

y 20

04H

ippo

pota

mus

sp.

2370

5025

0719

3B

urne

y 20

04H

ippo

pota

mus

lem

erle

i25

1740

2603

143

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ney

2004

Hip

popo

tam

ussp

.27

6060

2876

122

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ney

2004

Hip

popo

tam

usle

mer

lei

3730

7041

1323

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urne

y 20

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ippo

pota

mus

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erle

i53

0060

6100

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ney

2004

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popo

tam

usle

mer

lei

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urne

y 20

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pota

mus

sp.

2020

300

2048

677

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ney

2004

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popo

tam

usla

loum

ena

9936

133

137

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ney

2004

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popo

tam

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loum

ena

213

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021

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urne

y 20

04H

ippo

pota

mus

lalo

umen

a23

2740

2316

152

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ney

2004

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popo

tam

usle

mer

lei

1215

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5189

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wle

y 20

10H

ippo

pota

mus

lem

erle

i12

6025

1186

93C

row

ley

2010

a44

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Hip

popo

tam

usle

mer

lei

1440

3013

3943

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wle

y 20

10H

ippo

pota

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lem

erle

i18

0035

1720

103

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wle

y 20

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ippo

pota

mus

lem

erle

i22

7535

2254

96C

row

ley

2010

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popo

tam

usle

mer

lei

2300

5023

0415

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row

ley

2010

Hip

popo

tam

usle

mer

lei

2470

2525

3817

3C

row

ley

2010

Hip

popo

tam

usle

mer

lei

2540

3026

2112

6C

row

ley

2010

Hip

popo

tam

usle

mer

lei

2550

3026

2412

6C

row

ley

2010

Hip

popo

tam

usle

mer

lei

2635

4027

8163

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wle

y 20

10H

ippo

pota

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lem

erle

i26

6040

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row

ley

2010

Hip

popo

tam

usle

mer

lei

2745

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wle

y 20

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mus

lem

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wle

y 20

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mus

lem

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i30

9530

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row

ley

2010

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tam

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lei

3455

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y 20

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pota

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lem

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i48

1540

5555

87C

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ley

2010

Hip

popo

tam

usle

mer

lei

6310

6072

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row

ley

2010

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alad

apis

sp.

1276

070

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urne

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adap

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6635

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ney

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alad

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ney

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alad

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ney

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ney

2004

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wle

y 20

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wle

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ley

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alad

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ley

2010

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alad

apis

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s26

4530

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ley

2010

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alad

apis

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55C

row

ley

2010

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alad

apis

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cari

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s29

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wle

y 20

10

a45

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Meg

alad

apis

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ards

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wle

y 20

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egal

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ley

2010

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sp.

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sp.

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urne

y 20

04

a46

Page 97: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

7 - M

egaf

auna

l dat

es fr

om T

asm

ania

that

ran

ked

11 o

r 12

on

the

mod

ified

Mea

d-M

eltz

er sc

ale

(see

Met

hods

; Tab

le 1

).

Gen

usSp

ecie

s14

Cer

ror

14C

(2σ)

erro

r (2σ)

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OSL

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orSo

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eren

ceM

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pus

giga

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s ti

tan

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040

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grov

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ove

et a

l 201

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grov

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al 2

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ove

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l 201

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000

4000

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l 200

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580

310

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ille

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l 201

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000

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l 200

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ney

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l 200

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ney

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l 200

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l 200

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anak

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959

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ney

et a

l 200

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anak

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458

522

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lesp

ie e

t al 2

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tem

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et a

l 201

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lesp

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l 200

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osth

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3951

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et a

l 201

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ygom

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l 201

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000

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ney

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l 200

8

a47

Page 98: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

8 - M

egaf

auna

l dat

es fr

om N

ew Z

eala

nd th

at r

anke

d 11

or

12 o

n th

e m

odifi

ed M

ead-

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tzer

scal

e (s

ee M

etho

ds; T

able

1).

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usSp

ecie

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ror

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r (2σ)

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ce r

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98a

a48

Page 99: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Pac

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a49

Page 100: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Pac

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a50

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Pac

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a51

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Tab

le S

9 - M

egaf

auna

l dat

es fr

om A

ustr

alia

that

ran

ked

11 o

r 12

on

the

mod

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Mea

d-M

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Met

hods

; Tab

le 1

).

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usSp

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SLO

SL e

rror

U/T

hU

/Th

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r C

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rror

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r14

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a52

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a53

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a54

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a55

Page 106: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

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cide

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000

1200

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322

05A

ylif

fe 2

008

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osth

enur

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cide

ntal

is43

000

2700

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335

37A

ylif

fe 2

008

Sim

osth

enur

uspa

les

4170

010

0045

132

1613

Ayl

iffe

200

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mos

then

urus

pale

s40

100

1100

4401

315

66A

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fe 2

008

Sim

osth

enur

uspa

les

4520

017

0047

852.

521

47.5

Ayl

iffe

200

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mos

then

urus

occi

dent

alis

1350

0070

00P

ride

aux

2010

Sim

osth

enur

uspa

les

1350

0070

00P

ride

aux

2010

Sim

osth

enur

usoc

cide

ntal

is89

000

6000

Pri

deau

x 20

10Si

mos

then

urus

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s89

000

6000

Pri

deau

x 20

10Si

mos

then

urus

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dent

alis

9500

070

00P

ride

aux

2010

Sim

osth

enur

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les

9500

070

00P

ride

aux

2010

Sim

osth

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cide

ntal

is98

000

8000

Pri

deau

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10Si

mos

then

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pale

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000

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Pri

deau

x 20

10Si

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dent

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0070

00P

ride

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osth

enur

uspa

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ride

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2010

Sim

osth

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is70

000

4000

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deau

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000

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deau

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a56

Page 107: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Sim

osth

enur

uspa

les

1368

0026

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ylif

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008

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deau

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ssp

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0000

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8000

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n 20

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henu

rus

sp.

1140

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00G

run

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nuru

ssp

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000

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n 20

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000

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ssp

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000

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nuru

ssp

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000

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000

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000

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n 20

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00G

run

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a57

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Sthe

nuru

ssp

.61

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3000

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n 20

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a58

Page 109: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Zyg

omat

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000

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a59

Page 110: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

10 -

Hum

an d

ates

from

Sou

th A

mer

ica

that

ran

ked

13 o

r hi

gher

on

the

mod

ified

Mea

d-M

eltz

er sc

ale

(see

Met

hods

; Tab

le 1

).

Lat

itude

Lon

gitu

de14

Cer

ror

14C

(2σ)

erro

r (2σ)

Sour

ce r

efer

ence

-45.

20-7

1.50

8880

5099

8020

3L

ima-

Rib

eiro

(20

12)

-45.

20-7

1.50

8945

4010

065

149

Lim

a-R

ibei

ro (

2012

)-4

5.20

-71.

5089

5060

1006

716

8L

ima-

Rib

eiro

(20

12)

-45.

20-7

1.50

8950

5010

070

156

Lim

a-R

ibei

ro (

2012

)-4

5.20

-71.

5089

7520

1009

612

8L

ima-

Rib

eiro

(20

12)

-45.

20-7

1.50

8990

3010

091

143

Lim

a-R

ibei

ro (

2012

)-4

5.20

-71.

5088

5050

9952

216

Bar

nosk

y an

d L

inds

ey (

2010

)-4

5.20

-71.

5091

168

1024

411

Lim

a-R

ibei

ro (

2012

)-3

8.40

-60.

2089

8010

010

039

334

Lim

a-R

ibei

ro (

2012

)-3

8.40

-60.

2089

9090

1006

930

3L

ima-

Rib

eiro

(20

12)

-19.

58-4

3.90

9780

7011

128

259

Lim

a-R

ibei

ro (

2012

)-3

8.40

-60.

2085

6032

095

1886

1L

ima-

Rib

eiro

(20

12)

-9.1

0-7

7.70

9980

120

1158

738

2L

ima-

Rib

eiro

(20

12)

-9.1

0-7

7.70

9930

300

1154

996

4L

ima-

Rib

eiro

(20

12)

-9.1

0-7

7.70

1018

013

011

855

529

Lim

a-R

ibei

ro (

2012

)-9

.10

-77.

7010

340

130

1211

346

6L

ima-

Rib

eiro

(20

12)

-31.

50-7

1.23

1106

080

1291

321

2B

arno

sky

and

Lin

dsey

(20

10)

-31.

50-7

1.23

1102

346

1290

118

9L

ima-

Rib

eiro

(20

12)

-37.

02-5

8.63

1072

590

1264

921

6B

arno

sky

and

Lin

dsey

(20

10)

-37.

02-5

8.63

1027

085

1203

337

5B

arno

sky

and

Lin

dsey

(20

10)

-37.

02-5

8.63

1067

511

012

549

328

Bar

nosk

y an

d L

inds

ey (

2010

)-3

7.02

-58.

6310

480

7012

356

228

Bar

nosk

y an

d L

inds

ey (

2010

)-3

7.93

-58.

5910

610

180

1237

953

4B

arno

sky

and

Lin

dsey

(20

10)

-36.

84-5

7.70

1004

595

1161

635

6B

arno

sky

and

Lin

dsey

(20

10)

-36.

84-5

7.70

1037

590

1219

935

8B

arno

sky

and

Lin

dsey

(20

10)

-37.

85-5

8.05

1046

565

1234

822

6L

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Rib

eiro

(20

12)

-37.

85-5

8.05

1041

570

1230

724

0L

ima-

Rib

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(20

12)

-37.

20-5

8.30

1041

030

1231

219

8L

ima-

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eiro

(20

12)

-48.

05-6

8.90

1091

565

1282

821

7L

ima-

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(20

12)

9.55

-69.

9610

710

6012

645

98L

ima-

Rib

eiro

(20

12)

-9.1

0-7

7.70

9600

130

1090

832

3L

ima-

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(20

12)

-9.1

0-7

7.70

9430

150

1072

043

0L

ima-

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(20

12)

-9.1

0-7

7.70

9520

150

1082

040

1L

ima-

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(20

12)

-9.1

0-7

7.70

9280

150

1062

744

9L

ima-

Rib

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(20

12)

-9.1

0-7

7.70

9340

150

1065

842

9L

ima-

Rib

eiro

(20

12)

-9.1

0-7

7.70

9400

150

1068

743

3L

ima-

Rib

eiro

(20

12)

-9.1

0-7

7.70

9350

150

1066

242

8L

ima-

Rib

eiro

(20

12)

a60

Page 111: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

-9.1

0-7

7.70

9700

4511

021

208

Lim

a-R

ibei

ro (

2012

)-3

0.34

-57.

4691

2040

1030

597

Lim

a-R

ibei

ro (

2012

)-1

.33

-53.

6810

450

6012

338

222

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6810

290

8012

085

321

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6810

300

6012

110

283

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6810

280

7012

079

310

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6810

370

7012

257

268

Bar

nosk

y an

d L

inds

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a61

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a62

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a63

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9410

7010

745

323

Lim

a-R

ibei

ro (

2012

)-4

7.00

-70.

5086

1070

9620

146

Lim

a-R

ibei

ro (

2012

)-4

7.00

-70.

5084

1070

9401

135

Lim

a-R

ibei

ro (

2012

)-4

5.20

-71.

5085

3016

096

1051

8L

ima-

Rib

eiro

(20

12)

a64

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-45.

20-7

1.50

8890

9099

6026

5L

ima-

Rib

eiro

(20

12)

-45.

20-7

1.50

9200

8010

398

168

Lim

a-R

ibei

ro (

2012

)-4

5.20

-71.

5092

6025

1042

412

7L

ima-

Rib

eiro

(20

12)

-37.

95-5

7.85

9670

120

1094

133

2L

ima-

Rib

eiro

(20

12)

-40.

40-7

0.15

9970

100

1158

137

3L

ima-

Rib

eiro

(20

12)

-51.

47-7

2.60

1086

016

012

779

344

Bar

nosk

y an

d L

inds

ey (

2010

)-5

1.47

-72.

6011

040

250

1292

349

4B

arno

sky

and

Lin

dsey

(20

10)

-51.

47-7

2.60

1043

010

012

297

288

Bar

nosk

y an

d L

inds

ey (

2010

)-5

1.47

-72.

6010

601

8012

462

241

Lim

a-R

ibei

ro (

2012

)-5

1.40

-72.

5011

570

6013

438

161

Bar

nosk

y an

d L

inds

ey (

2010

)-4

4.50

-71.

7082

5060

9224

192

Lim

a-R

ibei

ro (

2012

)-4

4.50

-71.

7010

010

6011

511

244

Lim

a-R

ibei

ro (

2012

)-5

1.68

-70.

0391

0015

010

214

446

Bar

nosk

y an

d L

inds

ey (

2010

)-5

1.68

-70.

0390

3023

010

130

591

Bar

nosk

y an

d L

inds

ey (

2010

)-5

1.68

-70.

0384

8013

594

6042

5B

arno

sky

and

Lin

dsey

(20

10)

-51.

68-7

0.03

8180

135

9098

374

Bar

nosk

y an

d L

inds

ey (

2010

)-5

1.68

-70.

0310

080

160

1179

158

3B

arno

sky

and

Lin

dsey

(20

10)

-23.

70-6

5.50

9230

7010

407

161

Lim

a-R

ibei

ro (

2012

)-2

3.70

-65.

5096

5011

010

969

275

Lim

a-R

ibei

ro (

2012

)-2

7.09

-53.

3586

4095

9790

324

Lim

a-R

ibei

ro (

2012

)-1

9.58

-43.

9095

8020

010

833

564

Lim

a-R

ibei

ro (

2012

)-4

1.50

-73.

4512

230

140

1434

955

7B

arno

sky

and

Lin

dsey

(20

10)

-41.

50-7

3.45

1265

013

014

849

660

Bar

nosk

y an

d L

inds

ey (

2010

)-4

1.50

-73.

4512

420

130

1455

151

7B

arno

sky

and

Lin

dsey

(20

10)

-1.3

3-5

3.68

1090

529

512

716

670

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6811

110

310

1304

065

1B

arno

sky

and

Lin

dsey

(20

10)

-1.3

3-5

3.68

1087

529

512

678

685

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6811

145

135

1299

428

9B

arno

sky

and

Lin

dsey

(20

10)

-1.3

3-5

3.68

1027

527

511

931

718

Bar

nosk

y an

d L

inds

ey (

2010

)-1

.33

-53.

6810

655

285

1233

282

5B

arno

sky

and

Lin

dsey

(20

10)

-1.3

3-5

3.68

1030

527

511

946

717

Bar

nosk

y an

d L

inds

ey (

2010

)-4

7.90

-67.

9010

400

8012

292

263

Bar

nosk

y an

d L

inds

ey (

2010

)-1

8.00

-70.

8797

9074

011

274

1842

Bar

nosk

y an

d L

inds

ey (

2010

)-1

8.00

-70.

8787

3070

9829

289

Bar

nosk

y an

d L

inds

ey (

2010

)-5

3.60

-68.

8010

630

7012

553

138

Bar

nosk

y an

d L

inds

ey (

2010

)-5

3.60

-68.

8010

685

7012

590

159

Bar

nosk

y an

d L

inds

ey (

2010

)

a65

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Tab

le S

11 -

Hum

an d

ates

from

Nor

th A

mer

ica

that

ran

ked

13 o

r hi

gher

on

the

mod

ified

Mea

d-M

eltz

er sc

ale

(see

Met

hods

; Tab

le 1

).

Lat

itude

Lon

gitu

de14

Cer

ror

14C

(2σ)

erro

r (2σ)

Sour

ce r

efer

ence

19.3

0-9

9.00

1075

575

1269

614

4L

ima-

Rib

eiro

(20

12)

19.3

0-9

9.00

1020

065

1182

231

2L

ima-

Rib

eiro

(20

12)

46.0

0-1

10.5

010

240

120

1191

150

7L

ima-

Rib

eiro

(20

12)

46.0

0-1

10.5

010

820

100

1274

919

1L

ima-

Rib

eiro

(20

12)

46.0

0-1

10.5

010

710

100

1263

721

7L

ima-

Rib

eiro

(20

12)

46.0

0-1

10.5

010

940

9012

857

219

Lim

a-R

ibei

ro (

2012

)46

.00

-110

.50

1037

013

012

173

416

Lim

a-R

ibei

ro (

2012

)46

.00

-110

.50

1070

535

1263

174

Lim

a-R

ibei

ro (

2012

)42

.90

-120

.70

1229

325

1441

341

9L

ima-

Rib

eiro

(20

12)

34.0

0-1

20.0

010

960

8012

866

211

Lim

a-R

ibei

ro (

2012

)46

.00

-110

.50

1078

040

1268

111

1L

ima-

Rib

eiro

(20

12)

34.0

0-1

20.0

010

800

810

1252

322

81L

ima-

Rib

eiro

(20

12)

46.0

0-1

10.5

011

040

6012

908

194

Lim

a-R

ibei

ro (

2012

)46

.00

-110

.50

1104

040

1291

218

2L

ima-

Rib

eiro

(20

12)

46.0

0-1

10.5

011

040

3512

913

180

Lim

a-R

ibei

ro (

2012

)43

.40

-102

.50

1114

014

012

990

294

Lim

a-R

ibei

ro (

2012

)41

.00

-82.

5011

060

120

1292

326

1L

ima-

Rib

eiro

(20

12)

41.0

0-8

2.50

1080

018

512

643

483

Lim

a-R

ibei

ro (

2012

)41

.00

-82.

5010

980

110

1287

523

2L

ima-

Rib

eiro

(20

12)

41.0

0-8

2.50

1098

075

1287

620

7L

ima-

Rib

eiro

(20

12)

34.0

0-1

20.0

010

400

2000

1241

449

83L

ima-

Rib

eiro

(20

12)

29.5

0-8

2.90

1105

050

1291

718

6L

ima-

Rib

eiro

(20

12)

68.5

0-1

47.8

010

490

7012

363

227

Lim

a-R

ibei

ro (

2012

)68

.10

-147

.40

1036

060

1225

326

0L

ima-

Rib

eiro

(20

12)

68.1

0-1

47.4

010

415

4512

309

214

Lim

a-R

ibei

ro (

2012

)40

.15

-114

.10

1079

525

1268

610

8L

ima-

Rib

eiro

(20

12)

44.3

0-1

05.2

010

400

600

1190

814

90L

ima-

Rib

eiro

(20

12)

34.4

0-1

03.4

010

914

7212

834

223

Lim

a-R

ibei

ro (

2012

)34

.40

-103

.40

1130

024

013

154

484

Lim

a-R

ibei

ro (

2012

)34

.40

-103

.40

1094

769

1285

721

2L

ima-

Rib

eiro

(20

12)

43.9

5-1

08.0

010

790

3012

684

108

Lim

a-R

ibei

ro (

2012

)43

.95

-108

.00

1095

030

1280

214

2L

ima-

Rib

eiro

(20

12)

43.9

5-1

08.0

010

870

2012

755

131

Lim

a-R

ibei

ro (

2012

)40

.00

-104

.90

1098

090

1287

621

6L

ima-

Rib

eiro

(20

12)

40.0

0-1

04.9

010

660

170

1249

243

9L

ima-

Rib

eiro

(20

12)

40.0

0-1

04.9

010

800

110

1278

925

3L

ima-

Rib

eiro

(20

12)

40.0

0-1

04.9

010

600

9012

429

274

Lim

a-R

ibei

ro (

2012

)

a66

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40.0

0-1

04.9

010

710

9012

629

204

Lim

a-R

ibei

ro (

2012

)40

.00

-104

.90

1067

012

012

515

359

Lim

a-R

ibei

ro (

2012

)40

.00

-104

.90

1106

535

1293

017

3L

ima-

Rib

eiro

(20

12)

40.0

0-1

04.9

010

940

3012

796

138

Lim

a-R

ibei

ro (

2012

)40

.00

-104

.90

1099

025

1287

019

3L

ima-

Rib

eiro

(20

12)

35.3

0-9

8.00

1081

042

012

404

1057

Lim

a-R

ibei

ro (

2012

)35

.30

-98.

0010

860

450

1248

711

33L

ima-

Rib

eiro

(20

12)

35.3

0-9

8.00

1148

045

013

627

1209

Lim

a-R

ibei

ro (

2012

)35

.30

-98.

0010

960

3012

808

149

Lim

a-R

ibei

ro (

2012

)36

.90

-99.

7010

750

4012

657

92L

ima-

Rib

eiro

(20

12)

36.9

0-9

9.70

1084

045

1273

813

9L

ima-

Rib

eiro

(20

12)

36.9

0-9

9.70

1070

045

1263

179

Lim

a-R

ibei

ro (

2012

)36

.90

-99.

7010

765

2512

662

89L

ima-

Rib

eiro

(20

12)

36.1

5-8

5.90

1269

097

015

181

2478

Lim

a-R

ibei

ro (

2012

)36

.15

-85.

9011

700

980

1400

127

54L

ima-

Rib

eiro

(20

12)

36.1

5-8

5.90

1198

011

013

801

303

Lim

a-R

ibei

ro (

2012

)43

.40

-102

.50

1071

013

012

553

379

Lim

a-R

ibei

ro (

2012

)43

.40

-102

.50

1111

040

1296

217

0L

ima-

Rib

eiro

(20

12)

43.4

0-1

02.5

011

080

4012

939

173

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1117

014

013

007

297

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1094

010

012

857

225

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1077

014

012

738

332

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1108

020

012

959

351

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1095

011

012

862

232

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1086

028

012

678

647

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1095

090

1286

321

8L

ima-

Rib

eiro

(20

12)

31.5

0-1

10.0

011

080

230

1297

840

2L

ima-

Rib

eiro

(20

12)

31.5

0-1

10.0

010

620

300

1226

585

8L

ima-

Rib

eiro

(20

12)

31.5

0-1

10.0

010

710

9012

629

204

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1117

020

013

020

369

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1147

011

013

351

231

Lim

a-R

ibei

ro (

2012

)31

.50

-110

.00

1098

037

1286

619

7L

ima-

Rib

eiro

(20

12)

41.0

0-1

04.5

010

500

8012

364

238

Lim

a-R

ibei

ro (

2012

)41

.00

-104

.50

1056

010

012

395

263

Lim

a-R

ibei

ro (

2012

)41

.00

-104

.50

1078

013

512

742

323

Lim

a-R

ibei

ro (

2012

)41

.00

-104

.50

1056

957

1251

912

4L

ima-

Rib

eiro

(20

12)

31.9

0-1

09.2

011

190

180

1302

734

9L

ima-

Rib

eiro

(20

12)

31.9

0-1

09.2

011

150

450

1289

311

16L

ima-

Rib

eiro

(20

12)

31.9

0-1

09.2

011

080

180

1295

932

6L

ima-

Rib

eiro

(20

12)

31.9

0-1

09.2

010

930

170

1286

530

7L

ima-

Rib

eiro

(20

12)

a67

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31.9

0-1

09.2

010

890

180

1280

437

6L

ima-

Rib

eiro

(20

12)

31.9

0-1

09.2

010

840

7012

745

156

Lim

a-R

ibei

ro (

2012

)31

.90

-109

.20

1084

014

012

819

274

Lim

a-R

ibei

ro (

2012

)31

.90

-109

.20

1071

016

012

540

423

Lim

a-R

ibei

ro (

2012

)31

.90

-109

.20

1088

550

1276

714

6L

ima-

Rib

eiro

(20

12)

40.9

0-8

3.20

1068

080

1258

716

5L

ima-

Rib

eiro

(20

12)

45.0

5-7

0.90

1055

080

012

001

2085

Lim

a-R

ibei

ro (

2012

)45

.05

-70.

9010

460

325

1209

785

8L

ima-

Rib

eiro

(20

12)

45.0

5-7

0.90

1061

033

012

249

887

Lim

a-R

ibei

ro (

2012

)63

.00

-149

.90

1050

060

1237

122

7L

ima-

Rib

eiro

(20

12)

63.0

0-1

49.9

011

190

6013

074

192

Lim

a-R

ibei

ro (

2012

)63

.90

-149

.00

1101

023

012

898

459

Lim

a-R

ibei

ro (

2012

)63

.90

-149

.00

1117

018

013

012

344

Lim

a-R

ibei

ro (

2012

)63

.90

-149

.00

1130

012

013

151

264

Lim

a-R

ibei

ro (

2012

)63

.90

-149

.00

1119

950

1308

117

7L

ima-

Rib

eiro

(20

12)

64.0

0-1

44.7

010

250

380

1179

810

31L

ima-

Rib

eiro

(20

12)

64.2

0-1

46.1

010

290

7012

088

309

Lim

a-R

ibei

ro (

2012

)64

.20

-146

.10

1142

070

1328

014

3L

ima-

Rib

eiro

(20

12)

64.2

0-1

46.1

011

500

8013

368

195

Lim

a-R

ibei

ro (

2012

)64

.80

-147

.90

1182

735

1364

716

2L

ima-

Rib

eiro

(20

12)

68.0

0-1

54.0

010

050

9011

618

353

Lim

a-R

ibei

ro (

2012

)68

.00

-154

.00

1006

070

1163

832

9L

ima-

Rib

eiro

(20

12)

68.0

0-1

54.0

010

070

6011

648

314

Lim

a-R

ibei

ro (

2012

)68

.00

-154

.00

1008

050

1166

529

9L

ima-

Rib

eiro

(20

12)

68.0

0-1

54.0

010

080

6011

659

312

Lim

a-R

ibei

ro (

2012

)68

.00

-154

.00

1008

012

011

654

402

Lim

a-R

ibei

ro (

2012

)68

.00

-154

.00

1009

011

011

656

388

Lim

a-R

ibei

ro (

2012

)68

.00

-154

.00

1013

060

1171

631

1L

ima-

Rib

eiro

(20

12)

68.0

0-1

54.0

010

150

120

1182

255

1L

ima-

Rib

eiro

(20

12)

68.0

0-1

54.0

010

230

6012

009

361

Lim

a-R

ibei

ro (

2012

)68

.00

-154

.00

1024

080

1200

637

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(20

12)

68.0

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110

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68.0

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a-R

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)68

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a-R

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2012

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Lim

a-R

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ro (

2012

)37

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Lim

a-R

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ro (

2012

)37

.80

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Lim

a-R

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ro (

2012

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.90

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Lim

a-R

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ro (

2012

)

a68

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29.9

0-1

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a-R

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2012

)36

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36.2

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Lim

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120

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Lim

a-R

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ro (

2012

)64

.80

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1227

070

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348

6L

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(20

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68.0

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Lim

a-R

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ro (

2012

)68

.20

-161

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1118

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522

9L

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(20

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68.2

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168

Lim

a-R

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ro (

2012

)68

.20

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635

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4L

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Rib

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a69

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Tab

le S

12 -

Hum

an d

ates

from

Eur

asia

that

ran

ked

13 o

r hi

gher

on

the

mod

ified

Mea

d-M

eltz

er sc

ale

(see

Met

hods

; Tab

le 1

).

Lat

itude

Lon

gitu

de14

Cer

ror

14C

(2σ)

erro

r (2σ)

Sour

ce r

efer

ence

51.5

5-4

.25

2584

028

030

661

482

Jaco

bi &

Hig

ham

200

851

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-4.2

528

400

320

3259

499

3Ja

cobi

& H

igha

m 2

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51.5

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2882

034

033

402

1120

Jaco

bi &

Hig

ham

200

851

.55

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528

870

180

3365

577

3Ja

cobi

& H

igha

m 2

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44.9

50.

9429

000

370

3359

210

21H

igha

m e

t al 2

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51.5

5-4

.25

2949

021

034

082

594

Jaco

bi &

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ham

200

855

.20

33.4

532

070

190

3635

764

7H

igha

m e

t al 2

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44.9

50.

9433

610

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3822

010

16H

igha

m e

t al 2

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44.9

31.

0135

400

750

4029

714

73H

igha

m e

t al 2

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49.7

515

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2737

023

031

614

438

Jöri

s et

al 2

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49.7

515

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3068

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035

463

819

Jöri

s et

al 2

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49.7

515

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3150

042

035

870

822

Jöri

s et

al 2

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45.5

723

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2900

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1533

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s et

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45.1

923

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713

1775

Jöri

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55.2

033

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425

2500

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ham

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l 200

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4042

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et a

l 201

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43.9

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39.0

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a72

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50.1

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494

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amil

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2010

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amil

ton

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ucha

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2010

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2010

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2010

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2010

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1726

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ilto

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85.5

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amil

ton

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ucha

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2010

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285

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223

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amil

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ucha

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ilto

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975

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amil

ton

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ucha

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2010

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512

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015

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120

1313

327

0H

amil

ton

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ucha

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710

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100

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518

1H

amil

ton

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ucha

nan

2010

54.0

310

5.82

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050

013

467

1389

Ham

ilto

n &

Buc

hana

n 20

10

a73

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50.1

710

8.50

1163

050

1348

816

4H

amil

ton

& B

ucha

nan

2010

51.7

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688

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Buc

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1050

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108.

5011

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400

1375

310

85H

amil

ton

& B

ucha

nan

2010

58.7

512

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108.

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amil

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ucha

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2010

54.0

310

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028

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ilto

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1057

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576

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amil

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2010

55.9

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535

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536

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amil

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ucha

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2010

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310

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2010

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1052

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441

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amil

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ucha

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2010

52.9

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amil

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2010

52.9

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amil

ton

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ucha

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2010

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603

Ham

ilto

n &

Buc

hana

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1054

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180

120

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154

9H

amil

ton

& B

ucha

nan

2010

57.8

311

4.00

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080

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236

5H

amil

ton

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ucha

nan

2010

52.9

791

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amil

ton

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ucha

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2010

50.1

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amil

ton

& B

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nan

2010

50.1

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343

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amil

ton

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ucha

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2010

57.8

311

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1057

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400

150

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555

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amil

ton

& B

ucha

nan

2010

57.8

311

4.00

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090

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446

3H

amil

ton

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ucha

nan

2010

52.3

710

4.28

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Ham

ilto

n &

Buc

hana

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1057

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630

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110

33H

amil

ton

& B

ucha

nan

2010

54.9

390

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1269

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014

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827

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ilto

n &

Buc

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140

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483

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amil

ton

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ucha

nan

2010

50.1

710

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342

1349

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Buc

hana

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1051

.20

86.0

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1537

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19H

amil

ton

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ucha

nan

2010

52.9

791

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1288

060

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052

9H

amil

ton

& B

ucha

nan

2010

52.9

891

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766

Ham

ilto

n &

Buc

hana

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10

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57.8

311

4.09

1290

030

015

437

1198

Ham

ilto

n &

Buc

hana

n 20

1054

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90.9

212

940

270

1548

212

20H

amil

ton

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ucha

nan

2010

59.3

013

2.60

1296

012

015

729

661

Ham

ilto

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Buc

hana

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1052

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91.4

412

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120

1573

966

0H

amil

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ucha

nan

2010

52.9

791

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676

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Buc

hana

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1052

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91.5

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amil

ton

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ucha

nan

2010

59.3

013

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amil

ton

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ucha

nan

2010

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592

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6013

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amil

ton

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ucha

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2010

61.6

314

9.52

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523

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986

807

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ilto

n &

Buc

hana

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1054

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90.9

313

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363

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amil

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ucha

nan

2010

50.1

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649

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1055

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470

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amil

ton

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2010

55.0

390

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303

648

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313

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amil

ton

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ucha

nan

2010

52.9

791

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421

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1055

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amil

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2010

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amil

ton

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ucha

nan

2010

55.6

510

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139

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amil

ton

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ucha

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2010

58.3

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372

Ham

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hana

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1055

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91.5

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300

100

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amil

ton

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ucha

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2010

54.9

390

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amil

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2010

55.5

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amil

ton

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ucha

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2010

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1054

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amil

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ucha

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2010

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6214

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amil

ton

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2010

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Buc

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1057

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0915

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564

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amil

ton

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ucha

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2010

50.2

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585

835

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ilto

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Buc

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1053

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315

600

495

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amil

ton

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ucha

nan

2010

57.8

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amil

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2010

52.9

791

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378

Ham

ilto

n &

Buc

hana

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1055

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92.4

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596

9H

amil

ton

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ucha

nan

2010

a75

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2004

847

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amil

ton

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ucha

nan

2010

50.2

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488

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1052

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140

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2010

50.2

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amil

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2010

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ilto

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ucha

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2010

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ilto

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Buc

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1054

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520

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183

7H

amil

ton

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ucha

nan

2010

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310

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ilto

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hana

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1051

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84.6

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amil

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2010

55.9

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474

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Buc

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1055

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ton

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ucha

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2010

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2543

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amil

ton

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2010

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5321

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810

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amil

ton

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ucha

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2010

51.3

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ilto

n &

Buc

hana

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1055

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87.9

521

560

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amil

ton

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ucha

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2010

52.8

310

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Buc

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1055

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amil

ton

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ucha

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2010

57.8

310

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1256

Ham

ilto

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Buc

hana

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1051

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84.6

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554

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amil

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ucha

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2010

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amil

ton

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ucha

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2010

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339

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ilto

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hana

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1051

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84.6

623

431

1550

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532

79H

amil

ton

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ucha

nan

2010

53.5

810

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Ham

ilto

n &

Buc

hana

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1053

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508

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058

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amil

ton

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ucha

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2010

53.5

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ilto

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Buc

hana

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1058

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3323

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amil

ton

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ucha

nan

2010

51.3

984

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542

029

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1030

Ham

ilto

n &

Buc

hana

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1055

.90

87.9

524

360

150

2906

745

7H

amil

ton

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ucha

nan

2010

50.4

311

0.00

2436

027

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625

Ham

ilto

n &

Buc

hana

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1055

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87.9

524

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110

2945

235

0H

amil

ton

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ucha

nan

2010

a76

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51.2

210

9.33

2520

026

029

999

513

Ham

ilto

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Buc

hana

n 20

1051

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86.3

025

630

430

3032

074

7H

amil

ton

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ucha

nan

2010

55.9

087

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2566

020

030

398

608

Ham

ilto

n &

Buc

hana

n 20

1052

.83

103.

5325

760

260

3045

264

3H

amil

ton

& B

ucha

nan

2010

50.1

810

8.55

2582

529

030

486

657

Ham

ilto

n &

Buc

hana

n 20

1052

.02

113.

4326

110

150

3081

530

9H

amil

ton

& B

ucha

nan

2010

51.5

5-4

.25

2617

015

030

852

300

Jaco

bi e

t al 2

006

51.3

884

.68

2630

528

030

869

400

Ham

ilto

n &

Buc

hana

n 20

1051

.39

84.6

626

810

290

3123

733

8H

amil

ton

& B

ucha

nan

2010

51.3

884

.68

2692

031

031

304

379

Ham

ilto

n &

Buc

hana

n 20

1051

.38

84.6

827

020

435

3152

880

3H

amil

ton

& B

ucha

nan

2010

51.3

984

.66

2712

558

031

740

1125

Ham

ilto

n &

Buc

hana

n 20

1070

.72

135.

4227

400

600

3205

211

34H

amil

ton

& B

ucha

nan

2010

55.1

591

.47

2747

020

031

679

440

Ham

ilto

n &

Buc

hana

n 20

1070

.72

135.

4227

600

500

3209

996

2H

amil

ton

& B

ucha

nan

2010

70.7

213

5.42

2780

050

032

229

1008

Ham

ilto

n &

Buc

hana

n 20

1051

.39

84.6

627

930

1590

3283

133

35H

amil

ton

& B

ucha

nan

2010

58.3

010

0.33

2805

067

032

804

1602

Ham

ilto

n &

Buc

hana

n 20

1051

.22

109.

3329

200

1000

3377

323

76H

amil

ton

& B

ucha

nan

2010

55.3

292

.50

2923

094

033

777

2334

Ham

ilto

n &

Buc

hana

n 20

1054

.42

89.4

529

450

420

3395

388

6H

amil

ton

& B

ucha

nan

2010

54.5

891

.07

2955

050

033

997

1040

Ham

ilto

n &

Buc

hana

n 20

1051

.38

84.6

829

720

360

3418

178

4H

amil

ton

& B

ucha

nan

2010

51.3

884

.68

2986

035

534

298

778

Ham

ilto

n &

Buc

hana

n 20

1051

.38

84.6

829

900

2070

3469

041

97H

amil

ton

& B

ucha

nan

2010

58.3

010

0.33

3010

015

034

783

246

Ham

ilto

n &

Buc

hana

n 20

1051

.38

84.6

830

460

2035

3524

742

04H

amil

ton

& B

ucha

nan

2010

51.7

710

8.33

3106

053

035

642

906

Ham

ilto

n &

Buc

hana

n 20

1051

.38

84.6

831

410

1160

3611

825

81H

amil

ton

& B

ucha

nan

2010

55.3

292

.50

3243

015

4037

498

3388

Ham

ilto

n &

Buc

hana

n 20

1050

.42

86.5

233

350

1145

3815

127

16H

amil

ton

& B

ucha

nan

2010

51.3

884

.68

3340

012

8538

165

2843

Ham

ilto

n &

Buc

hana

n 20

1050

.72

85.5

733

800

600

3858

316

54H

amil

ton

& B

ucha

nan

2010

58.3

010

0.33

3430

090

039

073

2085

Ham

ilto

n &

Buc

hana

n 20

1051

.38

84.6

835

100

2850

3937

352

50H

amil

ton

& B

ucha

nan

2010

50.2

710

7.23

3890

033

0042

833

6046

Ham

ilto

n &

Buc

hana

n 20

1051

.77

108.

3340

500

3800

4405

359

48H

amil

ton

& B

ucha

nan

2010

51.0

586

.30

4216

541

7044

612

5388

Ham

ilto

n &

Buc

hana

n 20

10

a77

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Tab

le S

13 -

Hum

an d

ates

from

Jap

an th

at r

anke

d 13

or

high

er o

n th

e m

odifi

ed M

ead-

Mel

tzer

scal

e (s

ee M

etho

ds; T

able

1).

14C

erro

r14

C (2σ)

erro

r (2σ)

Sour

ce r

efer

ence

2794

020

032

158

642

Tak

ashi

201

227

950

210

3217

265

6T

akas

hi 2

012

2823

021

032

448

715

Tak

ashi

201

228

380

240

3259

476

9T

akas

hi 2

012

2840

021

032

630

709

Tak

ashi

201

228

540

220

3276

579

7T

akas

hi 2

012

2881

029

033

467

1039

Tak

ashi

201

229

590

340

3408

074

6T

akas

hi 2

012

2964

024

034

162

621

Tak

ashi

201

229

650

340

3412

475

2T

akas

hi 2

012

2982

025

034

329

637

Tak

ashi

201

229

870

250

3442

061

6T

akas

hi 2

012

2992

032

034

370

721

Tak

ashi

201

231

420

280

3584

368

4T

akas

hi 2

012

a78

Page 129: §ão Araujo.pdf · III ACKNOWLEDGEMENTS Although this is one of the most enjoyable sections to write in a dissertation – mainly because it is a space to acknowledge the importance

Tab

le S

14 -

Hum

an d

ates

from

Tas

man

ia th

at r

anke

d 13

or

high

er o

n th

e m

odifi

ed M

ead-

Mel

tzer

scal

e (s

ee M

etho

ds; T

able

1).

14C

erro

r14

C (2σ)

erro

r (2σ)

Sour

ce r

efer

ence

31,6

1037

035

924

792

Gil

lesp

ie e

t al 2

012

27,1

6025

031

437

352

Gil

lesp

ie e

t al 2

012

30,2

1030

034

706

617

Gil

lesp

ie e

t al 2

012

34,7

9051

039

883

1142

Gil

lesp

ie e

t al 2

012

33,1

7067

037

964

1524

Gil

lesp

ie e

t al 2

012

33,8

5045

038

684

1402

Gil

lesp

ie e

t al 2

012

33,2

6042

037

838

1023

Gil

lesp

ie e

t al 2

012

27,7

8023

032

046

640

Gil

lesp

ie e

t al 2

012

27,7

7042

032

158

886

Gil

lesp

ie e

t al 2

012

28,0

0072

032

791

1627

Gil

lesp

ie e

t al 2

012

30,4

2069

034

986

1488

Gil

lesp

ie e

t al 2

012

30,8

4048

035

542

871

Gil

lesp

ie e

t al 2

012

29,0

0052

033

379

1296

Gil

lesp

ie e

t al 2

012

28,3

3072

032

936

1536

Gil

lesp

ie e

t al 2

012

29,8

0072

034

410

1855

Gil

lesp

ie e

t al 2

012

27,2

5053

031

892

1007

Gil

lesp

ie e

t al 2

012

a79

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Tab

le S

15 -

Rat

tus

exu

lan

s da

tes f

rom

New

Zea

land

that

ran

ked

13 o

r hi

gher

on

the

mod

ified

Mea

d-M

eltz

er sc

ale

(see

Met

hods

; Tab

le 1

). T

hese

dat

es

wer

e us

ed a

s a p

roxy

for

hum

an c

olon

izat

ion

(Wilm

shur

st e

t al.

2008

).

Prox

y14

Cer

ror

14C

(2σ)

erro

r (2σ)

Sour

ce r

efer

ence

Rat

tus

exul

ans

586

3059

358

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s41

125

424

90W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

534

2957

159

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s57

025

587

56W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

389

2641

692

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s36

926

410

91W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

516

2656

557

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s35

426

406

90W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

475

2651

918

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s54

926

576

57W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

563

2658

357

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s51

826

565

56W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

100

4513

413

8W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

348

2640

287

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s15

627

141

144

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s20

525

150

151

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s39

325

419

90W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

170

2414

314

5W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

412

2542

590

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s21

324

151

152

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s17

527

144

146

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s47

925

520

18W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

382

2841

394

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s45

827

511

24W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

103

2913

213

6W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

200

3015

115

3W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

121

2513

313

6W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

405

2642

391

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s43

425

495

30W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

223

2615

315

4W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

215

2815

215

3W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

526

2756

858

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s22

326

153

154

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s23

126

155

156

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s24

426

211

212

Wil

msh

urst

et a

l 200

8

a80

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Rat

tus

exul

ans

278

3230

515

1W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

316

3238

582

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s39

534

416

97W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

281

3430

615

2W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

296

3237

686

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s29

037

311

154

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s15

332

141

144

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s38

333

413

95W

ilm

shur

st e

t al 2

008

Rat

tus

exul

ans

702

3262

764

Wil

msh

urst

et a

l 200

8R

attu

s ex

ulan

s32

431

388

82W

ilm

shur

st e

t al 2

008

a81

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APPENDIX II

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Figu

APPEND

Supplem

ure S1 - Eff

DIX II

mentary Fig

fects of clim

gure 1

matic variati

of

on and hum

extinct gene

man arrival t

era.

time-lapse oover the num

mber

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