MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario
Xia Li, Zihao Wang, Shaoqiang Wang, Zhaohui Qian · 2024
Read MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario by Xia Li, Zihao Wang, Shaoqiang Wang, Zhaohui Qian (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11635998.txt.
Description
Xia Li and colleagues mapped future coffee habitat in Yunnan, China in 2024. Arabica coffee earns key cash there. Climate change threatens its production sustainability. Suitable habitat may shift over time. Two models predicted habitat and priorities. Planting targets shaped the priority maps.
Five areas topped the priority list. Pu'er and Xishuangbanna led the rankings. Honghe, Dehong, and Kunming followed. Climate, soil, and slope all mattered. Suitable zones will move under scenarios. Growers need planned adaptation now. Policy should delineate planting areas early. Environmental fit should guide those choices. Coffee livelihoods depend on such planning.
Catalog record
| CREATOR | Xia Li, Zihao Wang, Shaoqiang Wang, Zhaohui Qian |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 65 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |