Evidence map›Paper›PMID 42382409›Full record

ArticleFrontiers in plant science2026

Climate change reshapes habitat suitability of ancient tea trees in Yunnan: insights from an optimized MaxEnt model.

Tao Li, Kun Yang, Shixian Peng, Yongli Qi, Suyi Wen, Yujiao Yang

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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Tao LiFaculty of Geography, Yunnan Normal University, Kunming, China.
Kun YangFaculty of Geography, Yunnan Normal University, Kunming, China.
Shixian PengFaculty of Geography, Yunnan Normal University, Kunming, China.
Yongli QiFaculty of Geography, Yunnan Normal University, Kunming, China.
Suyi WenFaculty of Geography, Yunnan Normal University, Kunming, China.
Yujiao YangFaculty of Geography, Yunnan Normal University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ancient tea trees, as important germplasm resources of tea plants worldwide and key carriers of tea domestication origins, possess irreplaceable ecological, economic, and cultural value. Under global warming, the distribution pattern of suitable habitats for ancient tea trees may face an increasing risk of fragmentation, which may in turn affect the conservation and management of ancient tea tree resources. Therefore, identifying the key environmental variables driving the potential suitable zones of ancient tea trees and their spatial distribution is of great significance for resource conservation and management. Methods: As the most important reservoir of ancient tea tree resources in China, Yunnan Province contains 97.70% of the country's ancient tea trees. Therefore, this study adopted an optimized MaxEnt model for the simulation of the variation in the spatial pattern of potential suitable zones for ancient tea trees in Yunnan under contemporary and future climate scenarios, and for the assessment of how climate change shapes the distribution of these potential suitable zones. Results: According to our findings, precipitation of the coldest quarter (bio19), precipitation of the warmest quarter (bio18), temperature seasonality (bio4), precipitation of the wettest month (bio13), min temperature of the coldest month (bio6), and elevation were confirmed as the key environmental variables that affected the potential suitable zones of ancient tea trees in Yunnan. Precipitation, temperature, and topography jointly constrained the distribution pattern of the potential suitable zones. The current potential suitable zone of ancient tea trees in Yunnan covers an area of 17.39×10 Discussion: The findings in the present study can provide a scientific basis and decision support for the conservation and management of ancient tea tree germplasm resources under climate change, and may also contribute to a better understanding of the environmental background associated with some forest-associated ancient tea tree habitats.

Indexed as

climate changemaximum entropy (MaxEnt) modelmultivariate environmental variablespotential suitable zoneYunnan ancient tea tree

Identifiers

PMID42382409
PMCPMC13317480

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