Spatial patterns of roadkill within Ankarafantsika National Park, Madagascar
Bibliographic record
Abstract
Abstract Wildlife‐vehicle collisions can be a significant cause of mortality for animals with ranges that overlap roads. Not all species are equally affected by roads and thus conservation practitioners need empirical data to determine appropriate mitigation measures. However, there is a lack of data on how tropical animals, in particular those on the island of Madagascar, are affected by roads and vehicular mortality. In order to fill in this gap in the literature we investigated the ecological and spatial factors influencing roadkill observations along Route National 4 in Ankarafantsika National Park, Madagascar. We observed 80 cases of roadkill along the highway belonging to at least 13 species, including the first published record of a lemur as roadkill. We also found that the density of roadkill was lower in the area between two speedbumps, suggesting these are an effective measure to mitigate wildlife‐vehicle collisions. These results showcase that even within protected areas of Madagascar animals are at risk of vehicular mortality but mitigation measures are possible. Given the high rates of endemicity coupled with vulnerability to extinction of many Malagasy fauna there is an urgent need for more research on road ecology in Madagascar.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".