From the southeast Qinghai-Tibetan plateau to south China: Climate-proofing globally important landscapes for Galliformes protection
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
The world faces unprecedented species declines. The Kunming-Montreal Global Biodiversity Framework (KMGBF) adopted in 2022 outlines long-term goals to reduce extinction risk by 2050 and sets interim targets for 2030 to halt and reverse biodiversity loss. China, hosting a large number of species on its national Red List (1,050 vertebrate species) and the global threatened species on IUCN Red List (1,822), is critical to achieving KMGBF Goal A. To effectively reduce extinction risk for China’s species, prioritizing key landscapes and conservation gaps in existing protected areas (PAs) is critical for species diversity and ecosystem integrity under climate change, while safeguarding functional and phylogenetic diversity essential for ecosystem stability and evolutionary history. Focusing on Galliformes — a culturally and ecologically significant group — we assessed conservation priorities for 23 threatened and endemic species. We analyzed taxonomic, functional, and phylogenetic diversity across 50 km × 50 km grids, identified key landscapes, and evaluated PAs coverage under current and future climate change by their overlap with National Nature Reserves (NNRs). Our findings reveal that only ∼6 % of areas hosting threatened and endemic Galliformes diversity are currently covered by NNRs, with the most biodiverse regions receiving coverages of 5.82 %, 6.11 %, and 3.63 % for different diversity indexes. Climate change projections indicate a potential range shift towards higher elevations for these species. Key landscapes are concentrated in southeastern Qinghai-Tibetan Plateau, Qinling, Wuling, Nanling-Wuyi mountain ranges, Taiwan, and Hainan. Alarmingly, less than 10 % of current and future priority landscapes are protected, highlighting substantial opportunities for PA network expansion in China. Integrating functional and phylogenetic diversity with taxonomic diversity is essential to safeguard ecosystem resilience and evolutionary history. This study provides critical insights for broader conservation strategies, which will contribute to global efforts to achieve the goals and targets of the KMGBF.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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