MaxEnt with remote sensing for tea plantation suitability under climate change
Shijie Wu1, Pengfei Tian2, Xiaochen Zhu1
1Jiangsu Provincial University Key Laboratory of Agricultural and Ecological Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China.
Iscience
|June 5, 2026
Summary
Climate change threatens premium tea cultivation. This study projects future tea suitability in China, revealing southward shifts and fragmentation under warming, impacting agricultural planning.
Area of Science:
- Agricultural Science
- Climate Science
- Remote Sensing
Background:
- Premium tea cultivation faces significant risks from climate change.
- Understanding future tea suitability is crucial for agricultural planning.
Purpose of the Study:
- To project tea suitability in Nanping, Southeastern China, under various climate scenarios.
- To identify key climatic drivers influencing tea cultivation.
- To provide a framework for assessing climate-sensitive crops.
Main Methods:
- Integrated Gaofen-6 imagery, U-Net deep learning, and MaxEnt models.
- Utilized spatially de-biased tea occurrence records.
- Employed Random Forest for model validation.
- Projected suitability under CMIP6 climate scenarios (2021-2080).
Main Results:
- Precipitation seasonality and wettest quarter precipitation are key climatic drivers.
- Future warming is projected to shift suitable tea areas southward.
- High-emission scenarios indicate increased spatial fragmentation of suitable areas.
Conclusions:
- Warming trends will alter tea cultivation landscapes, necessitating adaptive strategies.
- The developed framework is transferable to other high-value, climate-sensitive crops.
- Findings support proactive agricultural planning in response to global environmental change.
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