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Record W2942910501 · doi:10.5539/jps.v8n2p1

The Main Ecological Characteristics of a Species Introduced to Martinique in a Dynamic of Invasion: Funtumia Elastica (Preuss) Stapf (Apocynaceae)

2019· article· en· W2942910501 on OpenAlexvenueno aff
Philippe Joseph, Kévine Baillard, Jean-Philippe Claude, Yelji Abati, Séverine Ely-Marius, Yanis Jean-François, Stéphane Sophie, MAJOR Peguy, José Duranty, Jean Emile Simphor, Jean-Valéry Marc

Bibliographic record

VenueJournal of Plant Studies · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMartiniqueEcologyDominance (genetics)Ecological successionSpecies richnessTaxonBiologyGeographyWest indies

Abstract

fetched live from OpenAlex

Introduced species that become invasive alter the structural and functional organisation of the ecosystems of the host territories because of the absence of certain ecological locks. On a global scale, the consequences are very damaging for many key development-related sectors. Martinique, like all the islands of the Caribbean, is not immune to this phenomenon of biological invasion currently linked to greater globalisation. Among the potentially invasive introduced species and in the light of field observations, Funtumia elastica, native to tropical Africa, appears to have functional traits that could make it a species that is dangerous for local floristic diversity. Since no study exists in Martinique on the ecology of this taxon, we have set up a research protocol based on floristic surveys in various stations marked out by transects subdivided into quadrats. Using the data obtained, it has been possible to highlight the main features of the ecology of this species in terms of biodemography, ecological dominance, mesological affinities and of belonging to the different stages of vegetal succession.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.313
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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