From fire to recovery: temporal-shift of predator–prey interactions among mammals in Mediterranean ecosystems
Bibliographic record
Abstract
Abstract Fires are becoming increasingly frequent, intense, severe and prolonged worldwide, and such situation is worsening. As a result, extreme fire conditions will increase, with consequences for wildlife, including increased mass mortality and changes in trophic relationships in natural communities. This intensification is expected to be particularly pronounced in the Mediterranean ecosystems. In this scoping review, we summarized current knowledge and gaps in understanding the effects of fires on wildlife, focusing on predator–prey interactions. These interactions play a critical role in animal communities and their understanding is fundamental for appropriate management and conservation. Mammals were chosen as a model group because of their remarkable ecological role. We grouped and analysed the post-wildfire changes in the predator–prey relationships into three-time intervals: immediate, short- and long-term effects. This is relevant as vegetation restoration, by altering cover and habitat structure, may affect hunting strategies and anti-predatory behaviour. Our review showed that studies generally had several limitations, the most common of which were the lack of replication, the strong geographical bias, and the focus on few target species. Nevertheless, we could formally describe how fire affects predator–prey relationships in Mediterranean ecosystems through processes that exert different cascading effects at different times after the fire event. We encourage long-term studies on communities, including as many components of the food chain as possible, using an interdisciplinary approach, and prioritising investigations in high-risk ecosystems.
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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) | 0.005 | 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; both teacher heads agree on what is shown here.
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".