MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of <i>Coffea arabica</i> in Yunnan, China under climate change scenario.

ABSTRACT:

Introduction

Coffea arabica (Arabica coffee) is an important cash crop in Yunnan, China. Ongoing climate change has made coffee production more difficult to sustain, posing challenges for the region's coffee industry. Predictions of the distribution of potentially suitable habitats for Arabica coffee in Yunnan could provide a theoretical basis for the cultivation and rational management of this species.

Methods

In this study, the MaxEnt model was used to predict the potential distribution of suitable habitat for Arabica coffee in Yunnan under current and future (2021-2100) climate scenarios (SSP2-4.5, SSP3-7.0, and SSP5-8.5) using 56 distributional records and 17 environmental variables and to analyze the important environmental factors. Marxan model was used to plan

SUBMITTER: Li X 

PROVIDER: S-EPMC11635998 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature