Treatment of climate change in extinction risk assessments and recovery plans for threatened species
Bibliographic record
Abstract
Abstract The ongoing threat of climate change poses an increasing risk to biodiversity, especially for currently threatened species. Climate change can both directly impact species and interact with other pre‐existing threats, such as habitat loss, to further amplify species' risk of extinction. Recognizing the threat of climate change in extinction risk assessments and recovery planning for imperilled species is essential for tailoring and prioritizing recovery actions for climate‐threatened species. Using species legally listed in Canada we show that 44.1% of species' risk assessments identify the threat of climate change, nonetheless, 43.5% of assessments completely omit climate change. Species assessed more recently were more likely to be identified as climate‐threatened, however, the strength of this relationship varied across taxonomic groups. The likelihood that climate change was identified as a threat was also strongly affected by the use of a standardized threat assessment process. Of the climate‐threatened species, less than half (46.0%) of species' recovery plans specified actions aimed explicitly at minimizing climate impacts and only 3.8% of recovery plans recommended habitat or population management actions. Climate‐targeted recovery actions were more likely to be included in more recent plans, and were marginally more likely for species where climate change was considered a major threat. Our findings highlight the urgent need for consistent and standardized assessments of the threat of climate change, including the consideration of potential synergies between climate change and other existing threats. Performing species‐specific climate change vulnerability assessments may serve to complement existing assessment and recovery planning processes. We provide additional recommendations aimed at threatened species recovery planners for improving the integration of the threat of climate change into species extinction risk assessments and recovery planning processes for listed 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 | 0.020 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".