ArticleFrontiers in plant science2024
MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of
Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Arabica coffee SBP transcription factor family members respond to brown leaf spot stress by regulating their expression.BMC plant biology · 2026Article
- Evaluation of ecological suitability and quality of wildFrontiers in plant science · 2026Article
- Prediction of suitable distribution areas for Alismatis Rhizoma based on the MaxEnt model and study on quality-environment correlation.Frontiers in plant science · 2026Article
- Climate change provides opportunities for the cultivation ofFrontiers in plant science · 2026Article
- Predicting the global distribution ofFrontiers in plant science · 2026Article
- Potential Distribution Modeling and Conservation Gap Identification for Rare and Endangered Plant Species: A Case Study of 10 Species in Hubei Province.Ecology and evolution · 2025Article
- Species richness prediction and priority conservation planning for rare Michelia species in China.Scientific reports · 2025Article
- Predicting suitable habitats and conservation areas foriScience · 2025Article
- Construction of eco-quality dual-suitable distribution areas forFrontiers in plant science · 2025Article
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Abstract
Introduction: 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 the priority planting areas for this species at last. Results: The predicted suitable and sub-suitable areas were about 4.21×10 Discussion: 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.
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