Hidden biodiversity in rare northern Australian vertebrates: the case of the clawless geckos (Crenadactylus, Diplodactylidae) of the Kimberley
Why this work is in the frame
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Bibliographic record
Abstract
Context The phylogenetic diversity and biogeography of most animal and plant lineages endemic to the Australian Monsoonal tropics remains poorly understood. Of particular note (and in contrast to many other tropical regions in both Australia and elsewhere) is the current paucity of evidence for diverse endemic radiations of restricted-range taxa. Aims To use recently collected material from major surveys of the Kimberley Islands, Western Australia, to expand on a previous study that provided preliminary evidence of very high levels of geographically structured phylogenetic diversity in a lineage of tiny geckos (Crenadactylus). Methods Mitochondrial (ND2) and nuclear (RAG-1) sequence data were used to estimate the relationships, phylogenetic diversity and timescale of diversification of all populations of Crenadactylus from northern Australia from which samples for genetic analysis were available. Key results In striking contrast to the two subspecies currently recognised in the Kimberley, our analyses confirm the existence of a notable diversity of highly divergent and apparently allopatric lineages within the Kimberley, including at least 10 that are estimated to date to the late Pliocene/early Miocene (or earlier) and seven that we recognise as candidate new species. Most of this diversity is concentrated in the high-rainfall zone along the western edge of the Kimberley. Key conclusions A growing number of genetic datasets are revealing northern Australian vertebrate clades characterised by the juxtaposition of deeply divergent and highly geographically structured genetic diversity on the one hand, and major geographic gaps in sampling that impede full assessment of the distribution and taxonomic significance of this diversity on the other. Implications There is a pressing need for further surveys, voucher material and phylogenetic analyses to allow us to properly understand the diversity, biogeography and conservation needs of the northern Australian biota.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it