Impacts of climate change on British Columbia's biodiversity: A literature review
Bibliographic record
Abstract
This Extended Abstract condenses a literature review that summarized research on the current and potential impacts of climate change on biodiversity in British Columbia. The review, which is preceded by a brief summary of observed and predicted climate changes, brings together the relevant information contained in those publications for the benefit of natural resource managers. Contemporary increases in atmospheric carbon dioxide concentration, average annual temperatures, and sea surface temperatures have been documented, and climatologists predict these increases will continue through this century. Research suggests that whole ecosystems and biogeoclimatic zones will not respond as a unit; rather, individual components of ecosystems will respond. Species will respond to these climate changes either by adapting in place, migrating, or going extinct. Examples of species responses have already been recorded in British Columbia. Finally, the review summarizes research on how to mitigate climate change impacts on biodiversity. Mitigation will require implementing conservation principles, reducing non-climate stressors, providing latitudinal and elevational migration corridors, and instituting long-term monitoring to define causality between climate change and biotic responses. Perhaps the most important advice for natural resource and biodiversity managers is to implement, to the extent possible, good conservation practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".