Authors
Yanan Wu, Lanmeng Yan, Hongjian Shen, Rui Guan, Qianqian Ge, Ling Huang, Emelda Rosseleena Rohani, Jinmei Ou, Rongchun Han, Xiaohui Tong
Published in
Frontiers in plant science. Volume 16. Pages 1538566. Epub May 14, 2025.
Abstract
Climate change has significantly impacted the distribution patterns of medicinal plants, highlighting the need for accurate models to predict future habitat shifts. In this study, the Maximum Entropy model to analyze the habitat distribution of Pulsatilla chinensis (Bunge) Regel under current conditions and two future climate scenarios (SSP245 and SSP585). Based on 105 occurrence records and 12 environmental variables, precipitation of the wettest quarter, isothermality, average November temperature, and the standard deviation of temperature seasonality were identified as key factors influencing the habitat suitability for P. chinensis. The reliability of the model was supported by a mean area under the curve (AUC) value of 0.916 and a True Skill Statistic (TSS) value of 0.608. The results indicated that although the total suitable habitat for P. chinensis expanded under both scenarios, the highly suitable area contracted significantly under SSP585 compared to SSP245. This suggests the importance of incorporating climate change considerations into P. chinensis management strategies to address potential challenges arising from future ecosystem dynamics.
PMID:
40438736
Bibliographic data and abstract were imported from PubMed on 29 May 2025.
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