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

Li, B., Cheng, C., Zhang, T., Mu, N., Li, Z., Yang, S., Wu, X. (2025): Global 1-km habitat distribution for endangered species and its spatial changes under future warming scenarios. - Scientific Data, 12, 1535.
https://doi.org/10.1038/s41597-025-05898-6

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Li_s41597-025-05898-6.pdf (Publisher version), 10MB
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Li, Bin1, Author
Cheng, Changxiu1, Author
Zhang, Tianyuan1, Author
Mu, Nan1, Author
Li, Zhe1, Author
Yang, Shanli1, Author
Wu, Xudong2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 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.

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Language(s): eng - English
 Dates: 2025-09-022025-09-02
 Publication Status: Finally published
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41597-025-05898-6
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Climate impacts
OATYPE: Gold Open Access
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Title: Scientific Data
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 12 Sequence Number: 1535 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Nature