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Table 1_Predicting the current and future distribution of Helianthus tuberosus L. in China using the MaxEnt model under climate change scenarios.docx

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NIAID Data Ecosystem2026-05-10 收录
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IntroductionPredicting the biogeographic shifts of Helianthus tuberosus L. (H. tuberosus) under climate change is critical for its conservation and sustainable cultivation. MethodsWe utilized occurrence records (n=295) and environmental variables to model current and future distributions across China via a hyperparameter-tuned MaxEnt framework under four Shared Socioeconomic Pathways (SSP126–SSP585, 2050s–2090s). ResultsThe model identified land cover (28.7%), vegetation index NDVI (23.7%), and minimum winter temperature (Bio6, 14.7%) as dominant drivers, collectively explaining 92.3% of distribution constraints. Currently, highly suitable habitats (6.03% of China’s area) cluster in Yunnan, Guizhou, and central Jiangxi. Future projections indicate a 20.4% expansion of these habitats in northwest China due to winter warming, while southeastern coastal regions contract by 9.1% under extreme precipitation. The geographic centroid shifts 197- 238 km northwestward. DiscussionThis shift highlights northwest China as a key climate refuge for H. tuberosus. These results prioritize conservation efforts and support strategic cultivation in climate-resilient zones.

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2026-01-29
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