Trade in Endangered and Critically Endangered Japanese Herpetofauna Endemic to The Nansei Islands Warrants Increased Protection
Bibliographic record
Abstract
Rare or newly discovered species are attractive targets for poaching as they often command a high value in the international market. Endemic species often have a very restricted range, making them extremely vulnerable to stochastic events and human activities, including poaching. Previous studies have shown that several species endemic to the Nansei Islands in Japan are available in the international pet trade. This paper further investigates the presence of live reptiles and amphibians endemic to the Nansei Islands in international pet trade. Seven Facebook groups and five classified websites were searched for these species, in addition to the CITES database and a spotcheck at Chatuchak market in Thailand. Nansei Island endemic reptiles and amphibians are more common in the international pet trade than initially thought. During the study period, advertisements for 23 species endemic to the Nansei Islands were found, comprising a total of 360 specimens. In addition, during a spot-check, 8 individuals of 2 subspecies of Japanese sword-tail newt were found at Chatuchak market in Thailand. Only three of these species are protected by the CITES and nine are regionally or nationally protected. Yet, ten species observed in international markets are classified as Endangered by IUCN and two even as Critically Endangered. The large numbers observed for the Endangered and Critically Endangered Goniurosaurus and Takydromus species warrants increased protection and a CITES Appendix III listing is recommended for these 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.088 | 0.013 |
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".