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Record W2167737133 · doi:10.1111/jbi.12522

Explaining the disjunct distributions of austral plants: the roles of Antarctic and direct dispersal routes

2015· article· en· W2167737133 on OpenAlexfundno aff
Richard C. Winkworth, Françoise Hennion, Andréas Prinzing, Steven J. Wagstaff

Bibliographic record

VenueJournal of Biogeography · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueScientific Committee on Antarctic ResearchPolar Knowledge Canada
KeywordsBiological dispersalDisjunctEcologyContext (archaeology)NicheTemperate climateVicarianceBiologySouthern HemisphereTaxonPhylogeographyPopulationPaleontologyPhylogenetic tree

Abstract

fetched live from OpenAlex

Abstract Aim Dispersal explains the disjunct distributions of many austral plant lineages. However, the role of Antarctica is largely uncertain and the routes of dispersal have remained speculative. Based on niche conservatism we can make predictions about the timing of disjunction establishment, as well as the availability of direct transoceanic, Antarctic stepping‐stone, and out‐of‐Antarctica dispersal routes over time. We evaluate these predictions using molecular divergence time estimates for the establishment of disjunct distributions across multiple plant lineages. Location Southern Hemisphere. Methods We estimated the timing of disjunction establishment and determined habitat affinities for 72 austral plant groups. We used Wilcoxon rank sum tests to compare the timing of disjunction establishment between cold and temperate climate lineages for the full data set, as well as within several subsets. We compared our results with those from a literature survey. Results As niche conservatism predicts, the timing of disjunction establishment in cold and temperate climate austral lineages is consistent with the availability of the corresponding habitats over time. Our results also suggest that disjunction establishment has involved a combination of Antarctic and direct dispersal routes. For cold climate lineages, both out‐of‐Antarctica and direct dispersal routes are required to explain the observed estimates, while stepping stone routes cannot be ruled out. It appears that for these lineages the importance of the three dispersal routes differs with environmental, geographical and temporal context. Main conclusions Both direct and Antarctic dispersal routes are necessary to explain the establishment of contemporary austral distributions. Evidence that some taxa were, until recently, restricted to Antarctica changes how we view the evolutionary histories of austral floras and the lineages they contain. Moreover, that we detect differences in the importance of alternative dispersal routes suggests that long‐distance plant dispersal processes can be explicitly incorporated into models of climate change response.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.243
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations38
Published2015
Admission routes1
Has abstractyes

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