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Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan Africa
Author(s) -
Falconnier Gatien N.,
Corbeels Marc,
Boote Kenneth J.,
Affholder François,
Adam Myriam,
MacCarthy Dilys S.,
Ruane Alex C.,
Nendel Claas,
Whitbread Anthony M.,
Justes Éric,
Ahuja Lajpat R.,
Akinseye Folorunso M.,
Alou Isaac N.,
Amouzou Kokou A.,
Anapalli Saseendran S.,
Baron Christian,
Basso Bruno,
Baudron Frédéric,
Bertuzzi Patrick,
Challinor Andrew J.,
Chen Yi,
Deryng Delphine,
Elsayed Maha L.,
Faye Babacar,
Gaiser Thomas,
Galdos Marcelo,
Gayler Sebastian,
Gerardeaux Edward,
Giner Michel,
Grant Brian,
Hoogenboom Gerrit,
Ibrahim Esther S.,
Kamali Bahareh,
Kersebaum Kurt Christian,
Kim SooHyung,
Laan Michael,
Leroux Louise,
Lizaso Jon I.,
Maestrini Bernardo,
Meier Elizabeth A.,
Mequanint Fasil,
Ndoli Alain,
Porter Cheryl H.,
Priesack Eckart,
Ripoche Dominique,
Sida Tesfaye S.,
Singh Upendra,
Smith Ward N.,
Srivastava Amit,
Sinha Sumit,
Tao Fulu,
Thorburn Peter J.,
Timlin Dennis,
Traore Bouba,
Twine Tracy,
Webber Heidi
Publication year - 2020
Publication title -
global change biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.146
H-Index - 255
eISSN - 1365-2486
pISSN - 1354-1013
DOI - 10.1111/gcb.15261
Subject(s) - environmental science , dssat , climate change , leaching (pedology) , agronomy , arid , crop simulation model , nitrogen , simulation modeling , fertilizer , yield (engineering) , biomass (ecology) , crop yield , growing season , soil water , mathematics , soil science , ecology , biology , physics , materials science , mathematical economics , quantum mechanics , metallurgy
Smallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multimodel assessment of simulation accuracy and uncertainty in these low‐input systems is currently lacking. We evaluated the impact of varying [CO 2 ], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, 160 kg N/ha) for five environments in SSA, including cool subhumid Ethiopia, cool semi‐arid Rwanda, hot subhumid Ghana and hot semi‐arid Mali and Benin using an ensemble of 25 maize models. Models were calibrated with measured grain yield, plant biomass, plant N, leaf area index, harvest index and in‐season soil water content from 2‐year experiments in each country to assess their ability to simulate observed yield. Simulated responses to climate change factors were explored and compared between models. Calibrated models reproduced measured grain yield variations well with average relative root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28%). Model ensembles gave greater accuracy than any model taken at random. Nitrogen fertilization controlled the response to variations in [CO 2 ], temperature and rainfall. Without N fertilizer input, maize (a) benefited less from an increase in atmospheric [CO 2 ]; (b) was less affected by higher temperature or decreasing rainfall; and (c) was more affected by increased rainfall because N leaching was more critical. The model intercomparison revealed that simulation of daily soil N supply and N leaching plays a crucial role in simulating climate change impacts for low‐input systems. Climate change and N input interactions have strong implications for the design of robust adaptation approaches across SSA, because the impact of climate change in low input systems will be modified if farmers intensify maize production with balanced nutrient management.