Coffea Arabica Suitability Projections Under Climate Change in China

Aggregating model outputs projecting the ecological suitability for cultivating Coffea arabica (Arabica coffee) in China under current and future climate scenarios. It identifies key environmental drivers like temperature seasonality (Bio4) and mean temperature of the coldest quarter (Bio11). The analysis indicates suitable habitat area could triple under the SSP5-8.5 scenario, reaching 184.29 × 10⁴ km².

Use Cases

• Analyze shifts in suitable habitat area for Coffea arabica under different climate scenarios like SSP5-8.5.
• Model the influence of key environmental factors such as temperature seasonality (Bio4) and elevation (Elev) on crop suitability.
• Identify potential new cultivation regions by examining projected expansion of suitable habitats toward higher latitudes.
• Compare the distribution of core highly suitable areas, like southwestern Yunnan, across different future time periods.

Strengths

• Provides quantitative projections for suitable habitat area, such as a potential tripling to 184.29 × 10⁴ km² under SSP5-8.5.
• Identifies specific, influential environmental variables including Bio4, Bio11, Bio18, and Elev.
• Includes model outputs for both current conditions and future climate scenarios.
• Data is openly licensed under CC BY 4.0.

Limitations

• The dataset is small (10.9 MB), suggesting it contains model outputs or summary rasters, not the underlying raw environmental data.
• Model projections are subject to the uncertainties inherent in the Biomod2 model and the underlying climate scenarios used.
• Spatial resolution and exact file formats within the ZIP archive are unspecified.

Provenance

Source

figshare, authored by Tiantian Chen.

Collection Method

Simulated using the Biomod2 model based on climatic, topographic, and soil data.

Time Range

Includes current conditions and future climate projections.

Freshness

Last updated March 20, 2026.

Geography

China, with specific mention of Yunnan, Hainan, and Guangxi Provinces.