Evidence map›Paper›PMID 40897737›Full record

ArticleScientific data2025

Global 1-km habitat distribution for endangered species and its spatial changes under future warming scenarios.

Bin Li, Changxiu Cheng, Tianyuan Zhang, Nan Mu, Zhe Li, Shanli Yang, Xudong Wu

Abstract readDataset
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bin LiState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Beijing Normal University, Beijing, 100875, P. R. China.
Changxiu ChengState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Beijing Normal University, Beijing, 100875, P. R. China. chengcx@bnu.edu.cn.ORCID 0000-0003-2988-8915
Tianyuan ZhangSchool of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China.ORCID 0000-0002-2337-6209
Nan MuObservation and Research Station of Land Ecology and Land Use in Chengdu Plain, Ministry of Natural Resources, Chengdu, 610000, P. R. China.
Zhe LiObservation and Research Station of Land Ecology and Land Use in Chengdu Plain, Ministry of Natural Resources, Chengdu, 610000, P. R. China.
Shanli YangObservation and Research Station of Land Ecology and Land Use in Chengdu Plain, Ministry of Natural Resources, Chengdu, 610000, P. R. China.
Xudong WuSchool of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, P. R. China. wuxudong@bjfu.edu.cn.ORCID 0000-0002-0752-0282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implementing biodiversity and climate actions for endangered terrestrial vertebrates is hampered by a lack of high-precision habitat maps. Therefore, we developed a dataset by linking the suitable land-use types and elevation ranges of each endangered terrestrial vertebrates and mapping these factors onto our recently developed global land use and land cover maps, we generated the distribution of global 1-km habitat suitability ranges distributions from 2020 to 2100 under varied climate warming scenarios for endangered terrestrial vertebrates (2,571 amphibians, 617 birds, 1,280 mammals, and 1,456 reptiles) and obtained the spatial evolution maps as compared to 2020 baseline. Validation of the 2020 data with actual observation data suggested that the AOH maps for 94% of amphibians, 94% of birds, 95% of mammals, and 91% of reptiles exhibited higher densities of observation points within the AOH compared to a uniform random distribution within the IUCN maps, indicating better-than-chance spatial alignment. This dataset offers AOH for endangered terrestrial vertebrates and their spatial evolution under future warming scenarios, providing a solid basis for biodiversity conservation.

Indexed as

EcosystemEndangered SpeciesGlobal WarmingAmphibiansAnimalsBiodiversityBirdsConservation of Natural ResourcesMammalsReptilesVertebrates

Identifiers

PMID40897737
PMCPMC12405577

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.