Articles | Volume 18, issue 4
https://doi.org/10.5194/gmd-18-1067-2025
https://doi.org/10.5194/gmd-18-1067-2025
Model description paper
 | 
24 Feb 2025
Model description paper |  | 24 Feb 2025

CropSuite v1.0 – a comprehensive open-source crop suitability model considering climate variability for climate impact assessment

Florian Zabel, Matthias Knüttel, and Benjamin Poschlod

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Cited articles

Abdulai, A. L., Kouressy, M., Vaksmann, M., Asch, F., Giese, M., and Holger, B.: Latitude and Date of Sowing Influences Phenology of Photoperiod-Sensitive Sorghums, J. Agron. Crop Sci., 198, 340–348, https://doi.org/10.1111/j.1439-037X.2012.00523.x, 2012. 
Akpoti, K., Kabo-bah, A. T., and Zwart, S. J.: Review – Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis, Agr. Syst., 173, 172–208, https://doi.org/10.1016/j.agsy.2019.02.013, 2019. 
Akpoti, K., Kabo-bah, A. T., Dossou-Yovo, E. R., Groen, T. A., and Zwart, S. J.: Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling, Sci. Total Environ., 709, 136165, https://doi.org/10.1016/j.scitotenv.2019.136165, 2020. 
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Avellan, T., Zabel, F., and Mauser, W.: The influence of input data quality in determining areas suitable for crop growth at the global scale – a comparative analysis of two soil and climate datasets, Soil Use Manage., 28, 249–265, https://doi.org/10.1111/j.1475-2743.2012.00400.x, 2012. 
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Short summary
CropSuite is a new open-source crop suitability model. It provides a GUI and a wide range of options, including a spatial downscaling of climate data. We apply CropSuite to 48 staple and opportunity crops at a 1 km spatial resolution in Africa. We find that climate variability significantly impacts suitable areas but also affects optimal sowing dates and multiple cropping potential. The results provide valuable information for climate impact assessments, adaptation, and land-use planning.
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