Distribution range and richness of plant species are predicted to increase by 2100 due to a warmer and wetter climate in northern China
Data files
Jul 07, 2025 version files 2.11 MB
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Datasets.zip
2.11 MB
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README.md
1.38 KB
Abstract
The warming global climate is threatening terrestrial ecosystem stability, including plant community structure and diversity. However, it remains unclear how distribution, richness and turnover of plant species are impacted by warming and wetting in northern China. In the present study, species distribution models were applied to predict the spatial distribution of 5,111 plant species based on 111,071 occurrence records in northern China. Additionally, variations in species richness and turnover rates were predicted for 2100 under three scenarios. The results indicated that approximately 70% of plant species will expand in their distribution, resulting in an increase in species richness. These changes will be driven mainly by temperature seasonality (TSN), annual precipitation (MAP), and mean temperature of the coldest quarter (MTCQ). However, about 30-40% of the species will face extinction risks, including a considerable number of endemic and Red-Listed species, and suitable habitat loss (LSH) will exceed 30%. Narrow-ranging species will be more likely to lose a larger percentage of their suitable habitats than wide-ranging species, highlighting their sensitivity to environmental changes. Importantly, it emerged that species turnover rates will increase linearly with ecological vulnerability at the grid level, indicating that community structure and species composition are easily affected by climate change in ecologically vulnerable areas. Therefore, biodiversity hotspots with high species richness in the southern study areas, as well as regions exhibiting both fast species turnover and significant ecological vulnerability, should be prioritized for conservation. These findings provide insights into how species composition and richness in plant communities vary with global climate change and provide effective ecological conservation and management strategies.
Dataset DOI: 10.5061/dryad.zpc866tmp
Description of the data and file structure
This dataset consists of a main folder, Datasets.zip, which contains three sub-folders, and descriptions of the files are mentioned in the README included within the folder.
DataS1: Environmental data (climate and land cover) corresponding to grid cells in northern China and species occurrence data.
Note: For species occurrence data, all geographic coordinates associated with these species have been generalized to protect sensitive plant species classified as Vulnerable, Critically Endangered, or Near Threatened according to the IUCN Red List. Specifically, latitude and longitude values have been rounded to one decimal place. This generalization was performed to minimize potential risks to species and comply with best practices for sharing sensitive biodiversity data (see GBIF guidelines: https://www.gbif.org/resource/80512).
DataS2: Percentage of change and loss in species distribution ranges, as well as migration distance and direction, under future climate scenarios
DataS3: Species richness and turnover rates corresponding to grid cells in northern China.