Impoverishment of local wild resources in western Amazonia: a large-scale community survey of local ecological knowledge
Bibliographic record
Abstract
Abstract A growing number of studies point to the depletion of flora and fauna along rivers of the Brazilian Amazon but the status of wild resources over large areas in Western Amazonia remains poorly known. In this paper we report on findings from the Peruvian Amazon based on the first large-scale community survey that uses local ecological knowledge to assess the presence of indicator species and expected harvest yields of game, fish and timber along four major rivers. Our findings from nearly 700 communities suggest that the forest and lakes near riverine communities have been impoverished over the past 50 years, especially of vulnerable species of high commercial value. A zone of species depletion is detected around the two major regional cities of Iquitos and Pucallpa as well as around an important oil town. Local extirpations are common though some recovery is noted for specific fish and timber species. Expected yields are falling and evidence is found for harvesting of previously non-preferred species. Newer communities face lower initial availability of wild resources and forest impoverishment is driven by market demand over subsistence needs. Our findings illustrate the value of drawing on local ecological knowledge and the importance of considering historical baseline conditions in assessments of the fate of wild resources in tropical forests.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| 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".