Breeding and trade of wildlife in Santa Catarina state, Brazil
Bibliographic record
Abstract
The wildlife trade is becoming increasingly more relevant in discussions concerning conservation biology and the sustainable management of natural resources. The aim of this study was to document the trade and breeding of wildlife in Santa Catarina state, in southern Brazil. Data was collected from annual reports (1996-2008) of wildlife breeders which were sent to IBAMA. By the end of 2008, there were 79 wildlife breeders and 11 wildlife traders distributed in Santa Catarina. Commercial breeding accounted for the highest number of breeders (51%). In total, there are 213 species of wild animals bred in the state: 177 birds, 19 mammals and 17 reptiles. Of these, 48% are native to Santa Catarina, 32% occur in other Brazilian states and 20% are exotic to Brazil. Nine percent of the species bred are vulnerable or endangered. It was observed that some breeders reported breeding unauthorized species. Altogether, 93 species are bred illegally by 19 breeders. Of these species, 48 are native to Santa Catarina and three are classified as vulnerable or in danger of extinction. We hope the data presented in this paper contributes to the development of conservation strategies and conscious use of wildlife resources in Brazil.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".