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Record W4416225856 · doi:10.1038/s43247-025-02828-7

Caribbean biodiversity shaped by subduction zone processes along the Lesser Antilles arch

2025· article· en· W4416225856 on OpenAlexaff
Lény Montheil, Douwe J.J. van Hinsbergen, Mélody Philippon, Lydian M. Boschman, Jean‐Jacques Cornée, Franck Audemard, Richard Wessels, Sylvie Leroy, Julissa Roncal, Philippe Münch

Bibliographic record

VenueCommunications Earth & Environment · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Geology in Latin America and Caribbean
Canadian institutionsMemorial University of Newfoundland
FundersNationaal Regieorgaan Praktijkgericht Onderzoek SIAUniversité de Montpellier
KeywordsSubductionTectonicsPlate tectonicsVolcanoCaribbean regionHotspot (geology)Biodiversity hotspotBiodiversity

Abstract

fetched live from OpenAlex

Abstract Biodiversity hotspots often coincide with regions along subduction zones where tectonic activity continuously make and break geographic connections promoting biological diversification and speciation. A puzzling biodiversity hotspot is the northern Caribbean islands that contain endemic terrestrial and freshwater biotas mainly evolved from South American colonizers that dispersed during the Cenozoic. However, tectonic reconstructions have always assumed a mostly inactive and coherent eastern Caribbean plate, such that migration routes must either have been overwater, or through an inner-plate land bridge. Nevertheless, recent studies revealed that the northeastern Caribbean region underwent tectonically induced uplift, subsidence and large-scale block rotations questioning the assumed plate coherency. Here we present a plate reconstruction including these novel constraints and reveals how tectonic and volcanic activity along the Lesser Antilles subduction zone have established a transient land corridor connecting South America and the Greater Antilles from ~45 to 25 Ma ago offering a new avenue to explain Caribbean biotic interchanges and diversification.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.213
Teacher spread0.198 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2025
Admission routes1
Has abstractyes

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