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Potential effects of future climate change on global reptile distributions and diversity

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DataONE2023-02-20 更新2025-08-02 收录
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Aim: Until recently, complete information on global reptile distributions has not been widely available. Here, we provide the first comprehensive climate impact assessment for reptiles on a global scale. Location: Global, excluding Antarctica Time period: 1995, 2050, 2080 Major taxa studied: Reptiles Methods: We modelled the distribution of 6,296 reptile species and assessed potential global as well as realm-specific changes in species richness, the change in global species richness across climate space, and species-specific changes in range extent, overlap and position under future climate change. To assess the future climatic impact on 3,768 range-restricted species, which could not be modelled, we compared the future change in climatic conditions between both modelled and non-modelled species. Results: Reptile richness was projected to decline significantly over time, globally but also for most zoogeographic realms, with the greatest decrease in Brazil, Australia and South Africa. Sp..., These data comprise the raw data and results of the article: Biber et al. (2023) Potential effects of future climate change on global reptile distributions and diversity. Global Ecology and Biogeography. https://doi.org/10.1111/geb.13646   The methods used to generate these data are fully described in the main text of the paper, and all R code is provided below. Please see the usage notes for details. Code to reproduce the species distribution models, which we used in our analyses, is available at: https://github.com/christianhof/BioScen1.5_SDM , All data and code are contained within three different subfolders of a compressed (zipped) folder, as shown below. R: R-code of the performed analysis, as well as for creating the individual figures and supporting figures data: summarised species, climate and model output data files for creating the presented results, figures and supporting figures extdata: raw data predicted by the performed species distribution models (SDMs; code for performing the species distribution models and creating the raw data can be found here: https://github.com/christianhof/BioScen1.5_SDM
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2025-07-20
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