MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario
Climate, soil, and topography combine to influence the potential geographic distribution of Arabica coffee. Future changes in suitable habitat areas under different climate scenarios should lead to the delineation of coffee-growing areas based on appropriate environmental conditions and active policy measures to address climate change.
Authors
- Li Xia
- Xiaobo Wang (ORCID: https://orcid.org/0000-0003-0708-6030)
- Zhaohui Qian (ORCID: https://orcid.org/0000-0003-4116-4450)
- Zihao Wang (ORCID: https://orcid.org/0009-0005-1043-2215)
Institutions
- Tongji University (CN)
- Ministry of Ecology and Environment (CN)
- China University of Geosciences (CN)
- Institute of Geographic Sciences and Natural Resources Research (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-11-28
- DOI
- https://doi.org/10.3389/fpls.2024.1471653
- Citations
- 16
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 14.71