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Trait‐Based Prediction of Extinction Risk and Conservation Strategy for Traditional Chinese Medicinal Plants in China

Abstract:
Summary: Many plants, including those used in traditional Chinese medicine (TCM), are vital for human health and commerce but face increasing threats from human activities and climate change. However, many species have not been formally assessed for extinction risk, making it difficult to prioritize conservation efforts. We created a database of 580 TCM plant species and used predictive models to identify factors that contribute to extinction risk. We found that plants with smaller geographic distributions, narrower elevational ranges, shorter growth forms, and those harvested for parts other than fruits or seeds were more likely to be at risk. Among 95 species lacking formal assessments, 16 were predicted to be threatened. Our study also highlighted provinces such as Guangxi and Guangdong as emerging hotspots for at‐risk medicinal plants. These findings emphasize the need for urgent conservation actions to protect vulnerable TCM plants and fill critical protection gaps.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/inc3.70076

Authors

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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2698-9358


Publisher:
Wiley
Journal:
Integrative Conservation More from this journal
Article number:
inc3.70076
Publication date:
2026-03-19
Acceptance date:
2026-02-06
DOI:
EISSN:
2770-9329
ISSN:
2770-9329


Language:
English
Keywords:
Pubs id:
2398356
Local pid:
pubs:2398356
Source identifiers:
3870632
Deposit date:
2026-03-20
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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