Stability and connection: Climate‐informed Modernized Land Use Planning on the south coast of British Columbia
Bibliographic record
Abstract
Abstract In an era of environmental instability, climate‐informed land‐use planning allows preparation for a more resilient future. By identifying places with high climate‐change refugia potential and climate connectivity, management and stewardship plans can be adapted over time to achieve biodiversity goals. The objective of the Climate‐informed Conservation Planning project is to provide an efficient pathway for collaborative planning between Indigenous and provincial governments to develop a long‐term management approach to maintain environmental and cultural values while reducing the risks from climate change. Working directly with the shíshálh‐BC Modernized Land Use Planning table on the South Coast of British Columbia to support climate‐resilient planning, this process identified areas projected to have refugia potential, to maximize habitat connectivity, to monitor ecosystem resilience variables, and to realize planning objectives within dynamic adaptive planning cycles. Key activities include: (a) introducing the climate‐change refugia concept and other knowledge translation activities, (b) identifying and evaluating spatial priorities for conservation management with higher potential for climate‐change refugia and connectivity, (c) customizing priority scenarios with additional data and local knowledge to highlight where the best conservation investments might contribute to local and provincial biodiversity goals, and (d) suggestions for implementing the plan dynamically and proactively to mitigate current and emerging environmental risks with monitoring, reporting, and proactive adaptation planning cycles.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".