Literature DB >> 32628332

Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa.

Gatien N Falconnier1, Marc Corbeels1,2, Kenneth J Boote3, François Affholder1, Myriam Adam4,5, Dilys S MacCarthy6, Alex C Ruane7, Claas Nendel8, Anthony M Whitbread9, Éric Justes10, Lajpat R Ahuja11, Folorunso M Akinseye12, Isaac N Alou13, Kokou A Amouzou14, Saseendran S Anapalli15, Christian Baron16,17, Bruno Basso18, Frédéric Baudron19, Patrick Bertuzzi20, Andrew J Challinor21, Yi Chen22,23, Delphine Deryng24,25, Maha L Elsayed26, Babacar Faye27, Thomas Gaiser27, Marcelo Galdos21, Sebastian Gayler28, Edward Gerardeaux1, Michel Giner1, Brian Grant29, Gerrit Hoogenboom3, Esther S Ibrahim8, Bahareh Kamali8, Kurt Christian Kersebaum8, Soo-Hyung Kim30, Michael van der Laan13, Louise Leroux1,31, Jon I Lizaso32, Bernardo Maestrini18, Elizabeth A Meier33, Fasil Mequanint28, Alain Ndoli19, Cheryl H Porter3, Eckart Priesack34, Dominique Ripoche20, Tesfaye S Sida35, Upendra Singh36, Ward N Smith29, Amit Srivastava27, Sumit Sinha21, Fulu Tao22,23,37, Peter J Thorburn33, Dennis Timlin38, Bouba Traore39, Tracy Twine40, Heidi Webber8.   

Abstract

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 [CO2 ], 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 [CO2 ], temperature and rainfall. Without N fertilizer input, maize (a) benefited less from an increase in atmospheric [CO2 ]; (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.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  crop simulation model; ensemble modelling; model intercomparison; smallholder farming systems; uncertainty

Mesh:

Substances:

Year:  2020        PMID: 32628332     DOI: 10.1111/gcb.15261

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


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  4 in total

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