Pastoralism Can Mitigate Biodiversity Loss on Global Rangelands
Bibliographic record
Abstract
Sustainable pastoralism represents a primary strategy for supporting goals of the Kunming-Montreal Global Biodiversity Framework. Sixty-seven percent of biodiversity hotspots and 38% of key biodiversity areas globally include rangelands, but international conventions seldom recognize this vast biodiversity repository. We summarize four synergies between pastoralism and biodiversity conservation: working lands conservation, continuation of vital disturbance regimes, connectivity through transhumance corridors, and community-led governance. Actions that leverage these synergies offer critical opportunities to mitigate biodiversity loss through the creation of a vast conservation network that includes working lands and protected areas. This will require that the contemporary conservation paradigm envision pastoralists as an asset rather than a threat to biodiversity conservation and recognize grazing and fire as ecological disturbances vital to the maintenance of biodiversity. Greater inclusion of rangelands and sustainable pastoralism within global conservation frameworks has high potential to enhance attainment of global biodiversity targets.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".