Species control for managing thermal guild interactions in warming food webs
Bibliographic record
Abstract
To promote sustainable fisheries under climate change, fisheries managers must apply appropriate adaptation measures. However, little is known about how species interactions shift with climate change and the potential effectiveness of such adaptation measures. Here, we modeled the application of a species control measure in a lake ecosystem using a temperature‐dependent food‐web model containing different thermal guilds. A warm‐adapted predator (bass, Micropterus spp) was removed to locally mitigate undesirable effects of climate warming on a cool‐adapted species (walleye, Sander vitreus). Nevertheless, a warming‐induced thermally mediated trophic cascade can lead to expected and unexpected outcomes, with bass removal depending on food‐web linkages. With low levels of bass predation on juvenile walleye, walleye persist in warmer temperatures when bass are present (not controlled) than when bass are absent (controlled). Therefore, we encourage managers to use caution and consider various scenarios of food‐web changes, to determine when species control may be effective for climate adaptation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".