Protected area targets: Spatially evaluating progress and prioritizing areas to reach 30 × 30 in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Protected and conserved areas (PCAs) continue to be a cornerstone of nature conservation, with several international agreements and frameworks setting targets to increase their global coverage. However, the focus on area‐based expansion has resulted in drawbacks related to the quality of PCAs, including widespread gaps in species protection and connectivity. Here, we temporally evaluate progress in terrestrial and freshwater PCA coverage in Canada and associated biophysical component indicators (i.e., ProtConn, Species Protection Index, Key Biodiversity Area [KBA] coverage) under Target 3 of the Kunming‐Montreal Global Biodiversity Framework (GBF). Our analysis reveals progress made from 2010 to 2022, while outlining gaps where accelerated action is needed to deliver upon both the quantity and quality of PCAs. Large gaps in PCA coverage and associated Target 3 component indicators were prevalent in the Northern Arctic, Prairie and Mixedwood Plains ecozones. Further, we systematically prioritize areas for protection that could maximize targets for headline and component indicators under Target 3 of the GBF. Our findings build upon a history of spatial conservation efforts in Canada and offers a novel lens—contextualized within the commitments of the GBF—to advance conservation planning and implementation for achieving 30% protection by 2030 nationally.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it