Modelling mixed crop-livestock systems and climate impact assessment in sub-Saharan Africa

• Published in: Scientific reports Vol. 15; no. 1; pp. 1399 - 18
• Main Authors: Srivastava, Amit Kumar, Rahimi, Jaber, Alsafadi, Karam, Vianna, Murilo, Enders, Andreas, Zheng, Wenzhi, Demircan, Alparslan, Dieng, Mame Diarra Bousso, Salack, Seyni, Faye, Babacar, Singh, Manmeet, Halder, Krishnagopal, Ewert, Frank, Gaiser, Thomas
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.01.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/449; 704/106/694/2739; Africa South of the Sahara; Agricultural practices; Agriculture - methods; Animals; Biomass; Cereal crops; Climate Change; Climate variability; Crop yield; Crops, Agricultural - growth & development; Emissions; Environmental impact; Grasses; Greenhouse gases; Greenhouse Gases - analysis; Humanities and Social Sciences; Livestock; Meat production; Methane; Milk production; Mixed cropping; Models, Theoretical; multidisciplinary; Population studies; Science; Science (multidisciplinary); Sorghum - growth & development; Sustainable agriculture; Sustainable development; Sustainable practices; Africa South of the Sahara; Sub-Saharan Africa; Africa
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-81986-8

Climate change significantly challenges smallholder mixed crop-livestock (MCL) systems in sub-Saharan Africa (SSA), affecting food and feed production. This study enhances the SIMPLACE modeling framework by incorporating crop-vegetation-livestock models, which contribute to the development of sustainable agricultural practices in response to climate change. Applying such a framework in a domain in West Africa (786,500 km 2 ) allowed us to estimate the changes in crop (Maize, Millet, and Sorghum) yield, grass biomass, livestock numbers, and greenhouse gas emission in response to future climate scenarios. We demonstrate that this framework accurately estimated the key components of the domain for the past (1981–2005) and enables us to project their future changes using dynamically downscaled Global Circulation Model (GCM) projections (2020–2050). The results demonstrate that in the future, the northern part of the study area will likely experience a significant decline in crop biomass (up to -56%) and grass biomass (up to -57%) production leading to a decrease in livestock numbers (up to -43%). Consequently, this will impact total emissions (up to -47% CH 4 ) and decrease of -41% in milk production, and − 47% in meat production concentrated in the Sahelian zone. Whereas, in pockets of the Sudanian zone, an increase in livestock population and CH 4 emission of about + 24% has been estimated, indicating that variability in climate change impact is amplifying with no consistent pattern evident across the study domain.