Illegal trade of pangolins in India with international trade links: an analysis of seizures from 1991 to 2022
Bibliographic record
Abstract
Abstract Pangolins have become one of the most intensely poached and trafficked mammal species, exploited mainly for the food and traditional medicine trade. Intense and continued illegal exploitation for commercial trade has become the leading cause of pangolin declines in parts of Asia and Africa. Recent research has illustrated the growing threat this poses to pangolins in India. India is home to two species of pangolin, the Indian Pangolin Manis crassicaudata and the Chinese Pangolin M. pentadactyla , which have been assessed as endangered and critically endangered respectively. Pangolin seizures in India between 1991 and 2022 were analysed to gain a better understanding of illegal trade dynamics. A total of 426 seizures were collated, involving an estimated 8603 pangolins. The frequency of pangolin seizures increased over time as did the volume of estimated pangolins seized. This could be due to a range of different factors including rising poaching and trade levels, increased law enforcement and reporting, and awareness. Nevertheless, on the ground, investigations by the Wildlife Protection Society of India strongly indicate that the escalating poaching and trade in pangolins is driven by lucrative market demands from beyond India’s borders, with a growing focus on the trade in live pangolins. Enforcement efforts appear to be undermined by low prosecution rates with only 1.4% of recorded seizures resulting in successful convictions. Asian pangolins have rapidly disappeared from their natural range and been locally extirpated in many parts of East and Southeast Asia. India’s pangolin species are at similar risk if poaching and trafficking levels continue unmitigated.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".