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

作者
Tao Li,Kun Yang,Shixian Peng,Yongli Qi,Suyi Wen,Yujiao Yang
出处
期刊:Frontiers in Plant Science [Frontiers Media]
卷期号:17: 1868147-1868147
标识
DOI:10.3389/fpls.2026.1868147
摘要

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 4 km 2 , of which the highly suitable zone accounts for 0.14×10 4 km 2 . Affected by the four future climate scenarios, the potential suitable zones of ancient tea trees in Yunnan are all projected to show a net expansion, and these potential suitable zones will shift toward higher latitudes and higher elevations in response to climate-change-induced environmental stress. 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
尘路遐远发布了新的文献求助10
刚刚
1秒前
edwin的应助被明亮的电源采纳,获得30
1秒前
难过衫发布了新的文献求助10
2秒前
yang完成签到,获得积分10
2秒前
冰水的应助被晨阳采纳,获得10
3秒前
3秒前
是小小啊完成签到,获得积分10
3秒前
爆米花的应助被钰宁采纳,获得10
4秒前
Smf完成签到,获得积分10
4秒前
4秒前
5秒前
殿下发布了新的文献求助10
6秒前
柔靜完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
es发布了新的文献求助10
8秒前
maocai0306发布了新的文献求助10
9秒前
何阿柚发布了新的文献求助10
9秒前
10秒前
right完成签到,获得积分10
11秒前
pluto的应助被科研通管家采纳,获得10
11秒前
Louis发布了新的文献求助10
11秒前
CipherSage的应助被科研通管家采纳,获得10
11秒前
情怀的应助被科研通管家采纳,获得10
11秒前
王浦轩发布了新的文献求助30
11秒前
彭于晏的应助被科研通管家采纳,获得10
11秒前
null的应助被科研通管家采纳,获得10
12秒前
12秒前
12秒前
科研通AI6.4的应助被brainyTaylor采纳,获得10
12秒前
思源的应助被科研通管家采纳,获得10
12秒前
传奇3的应助被科研通管家采纳,获得10
12秒前
PORSCHE的FANS完成签到,获得积分10
12秒前
12秒前
星辰大海的应助被科研通管家采纳,获得10
12秒前
12秒前
Lucas的应助被科研通管家采纳,获得10
12秒前
molihuakai的应助被科研通管家采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Energie-Contracting 1500
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
二维钙钛矿人工光电突触的可塑性及应用的研究 500
Topological Photonics: Fundamentals and Applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8095543
求助须知:如何正确求助?哪些是违规求助? 9506887
关于积分的说明 21457445
捐赠科研通 7669411
什么是DOI,文献DOI怎么找? 3406409
关于科研通互助平台的介绍 2534395
邀请新用户注册赠送积分活动 2445842