Evidence for a single panmictic and genetically diverse population of the coconut crab Birgus latro (Decapoda: Anomura: Coenobitidae) on Christmas Island in the Indian Ocean
Bibliographic record
Abstract
For the coconut crab Birgus latro, Christmas Island in the Indian Ocean may be one of the last retreats where populations of this declining species are not threatened by overharvesting, as on many other mostly tropical Indo-Pacific islands within the species’ wide range. Nevertheless, the population on Christmas Island has experienced severe losses during the past decade owing to habitat destruction and road mortality. To assess the population’s evolutionary potential and identify the number of conservation units, we conducted a combined morphometric and population genetic analysis using microsatellite markers. The findings suggest that the population is genetically diverse and panmictic. Neither genetic nor morphometric analyses revealed any population substructuring. There was no genetic evidence for sex-biased dispersal. Single-sample estimators for the effective population size (Ne) ranged from 492 to infinity, with very wide confidence intervals; they should therefore be viewed with caution. It would be advisable to reanalyse Ne, preferably by temporal methods. Despite mixed results, there is stronger evidence against rather than for the occurrence of a recent genetic bottleneck. So far, the population of B. latro on Christmas Island may be considered as a single conservation management unit, this way simplifying future conservation efforts taken for this magnificent species.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".