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Record W2952912017 · doi:10.1101/241448

Synchronous diversification of Sulawesi’s iconic artiodactyls driven by recent geological events

2018· preprint· en· W2952912017 on OpenAlexaff
Laurent Frantz, Anna Rudzinski, Abang Mansyursyah Surya Nugraha, Allowen Evin, James Burton, Ardern Hulme‐Beaman, Anna Linderholm, Ross Barnett, Rodrigo Vega, Evan K. Irving-Pease, James Haile, Richard Allen, Kristin Leus, Jill M. Shephard, Mia J. Hillyer, Sarah Gillemot, Jeroen van den Hurk, Sharron Ogle, Cristina Atofanei, Mark Thomas, Friederike Johansson, Abdul Haris Mustari, J. L. Williams, Kusdiantoro Mohamad, Chandramaya Siska Damayanti, Ita Djuwita Wiryadi, Dagmar Obbles, Stefano Mona, Hally Day, Muhammad Yazrin Yasin, Stefan Meker, Jimmy A. McGuire, Ben J. Evans, Thomas von Rintelen, Simon Y. W. Ho, Jeremy B. Searle, Andrew C. Kitchener, Alastair A. Macdonald, Darren J. Shaw, Robert Hall, Peter Galbusera, Greger Larson

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2018
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsMcMaster University
FundersWolfson College, University of OxfordNatural Environment Research CouncilVlaamse regeringUniversity of EdinburghRoyal Geographical SocietyWellcome TrustSight Research UKUniversity of OxfordRoyal Zoological Society of Scotland
KeywordsmyrVicarianceEndemismFaunaGeographyPaleontologyGeologyEcologyPhylogeographyBiologyPhylogenetics

Abstract

fetched live from OpenAlex

Abstract The high degree of endemism on Sulawesi has previously been suggested to have vicariant origins, dating back 40 Myr ago. Recent studies, however, suggest that much of Sulawesi’s fauna assembled over the last 15 Myr. Here, we test the hypothesis that recent uplift of previously submerged portions of land on Sulawesi promoted diversification, and that much of the its faunal assemblage is much younger than the island itself. To do so, we combined palaeogeographical reconstructions with genetic and morphometric data sets derived from Sulawesi’s three largest mammals: the Babirusa, Anoa, and Sulawesi warty pig. Our results indicate that although these species most likely colonized the area that is now Sulawesi at different times (14 Myr ago to 2-3 Myr ago), they experienced an almost synchronous expansion from the central part of the island. Geological reconstructions indicate that this area was above sea level for most of the last 4 Myr, unlike most parts of the island. We conclude that recent emergence of land on Sulawesi (~1–2 Myr) may have allowed species to expand synchronously. Altogether, our results indicates that the establishment of the highly endemic faunal assemblage on Sulawesi was driven by geological events over the last few million years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.216
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2018
Admission routes1
Has abstractyes

Explore more

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