Feeding outside the Forest: The Importance of Crop Raiding and an Invasive Weed in the Diet of Gallery Forest Ring-Tailed Lemurs (Lemur catta) following a Cyclone at the Beza Mahafaly Special Reserve, Madagascar
Bibliographic record
Abstract
In January 2005, a cyclone hit southern Madagascar, including the Beza Mahafaly Special Reserve, disrupting the flowering/fruiting cycle of Tamarindus indica, leaving Lemur catta without its major food resource during reproductive periods. We studied two adjacent groups of L. catta during the late gestation period, and both groups ventured outside the reserve to feed. The Red group (RG) fed daily on cultivated sweet potato (Ipomoea batatas) leaves in a nearby field, and both groups consumed leaves and stems of the invasive terrestrial flowering herb Mexican prickly poppy (Argemone mexicana), growing outside the reserve. The Green group (GG) spent significantly more time feeding than did RG, and more time feeding inside the forest compared to outside. The members of RG spent half of their time feeding in the crops, and nearly half of their diet consisted of easy-to-process sweet potato leaves. Additionally, RG defended and restricted GG's access to the crop territory. Of the two non-forest foods, A. mexicana leaves were higher in protein and most minerals (P, Mg, K and Na, but not Ca) and lower in fiber than sweet potato leaves, but sweet potato leaves were preferred by RG. L. catta is a markedly flexible primate with respect to diet, and switches to fallback foods from outside the forest during periods of low food availability. In the highly seasonal and unpredictable climate of southern Madagascar, such behavioral adaptations are important to the survival of this 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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".