ArticleScientific data2025
Area of Habitat maps for national key protected wildlife in China.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Area of Habitat maps for national key protected wildlife in China.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Area of Habitat (AOH) maps depict species distribution patterns, which are essential for predicting species survival, assessing species habitat loss or restoration, and developing biodiversity conservation strategies. AOH maps are generated by extracting suitable elevation ranges and habitat types from species' geographic range. National Key Protected Wildlife (NKPW) are species protected by Chinese law, playing a critical role in maintaining the country's biodiversity and ecological security. Currently, publicly available AOH maps provide only single-year AOH data, making it impossible to track temporal changes these areas. We have generated AOH maps for 720 terrestrial NKPW spanning from 1985 to 2022, with a resolution of 30 m. These maps have been independently validated. On average, AOH maps for validated species exhibit a mean point and model prevalence of 0.84 ± 0.20 SD and 0.49 ± 0.27 SD, with 97.03% of species' AOH maps performing better than random. This long-term, high-resolution dataset of AOH maps provides a valuable resource for biodiversity monitoring and assessment, protected area construction, species extinction risk evaluation, and ecosystem restoration.
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Registered trials
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