Skip to main navigation Skip to search Skip to main content

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

  • Gatien N. Falconnier
  • , Marc Corbeels
  • , Kenneth J. Boote
  • , François Affholder
  • , Myriam Adam
  • , Dilys S. MacCarthy
  • , Alex C. Ruane
  • , Claas Nendel
  • , Anthony M. Whitbread
  • , Éric Justes
  • , Lajpat R. Ahuja
  • , Folorunso M. Akinseye
  • , Isaac N. Alou
  • , Kokou A. Amouzou
  • , Saseendran S. Anapalli
  • , Christian Baron
  • , Bruno Basso
  • , Frédéric Baudron
  • , Patrick Bertuzzi
  • , Andrew J. Challinor
  • Yi Chen, Delphine Deryng, Maha L. Elsayed, Babacar Faye, Thomas Gaiser, Marcelo Galdos, Sebastian Gayler, Edward Gerardeaux, Michel Giner, Brian Grant, Gerrit Hoogenboom, Esther S. Ibrahim, Bahareh Kamali, Kurt Christian Kersebaum, Soo Hyung Kim, Michael van der Laan, Louise Leroux, Jon I. Lizaso, Bernardo Maestrini, Elizabeth A. Meier, Fasil Mequanint, Alain Ndoli, Cheryl H. Porter, Eckart Priesack, Dominique Ripoche, Tesfaye S. Sida, Upendra Singh, Ward N. Smith, Amit Srivastava, Sumit Sinha, Fulu Tao, Peter J. Thorburn, Dennis Timlin, Bouba Traore, Tracy Twine, Heidi Webber
  • Centre de coopération internationale en recherche agronomique pour le développement
  • CIMMYT
  • University of Florida
  • UMR AGAP
  • Université Montpellier
  • NASA GISS
  • Leibniz Centre for Agricultural Landscape Research (ZALF)
  • International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
  • United States Department of Agriculture
  • International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
  • University of Pretoria
  • African Plant Nutrition Institute (APNI)
  • UMR TETIS
  • Michigan State University
  • International Maize and Wheat Improvement Center
  • INRAE
  • University of Leeds
  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences
  • Humboldt University of Berlin
  • NewClimate Institute
  • Central Laboratory for Agricultural Climate
  • University of Bonn
  • University of Hohenheim
  • Ottawa Research and Development Centre
  • University of Washington
  • Technical University of Madrid
  • Commonwealth Scientific and Industrial Research Organisation
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • International Maize and Wheat Improvement Centre
  • International Fertilizer Development Cente
  • Natural Resources Institute Finland (Luke)
  • IER
  • University of Minnesota Twin Cities

Research output: Contribution to journalArticlepeer-review

123 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5942-5964
Number of pages23
JournalGlobal Change Biology
Volume26
Issue number10
DOIs
Publication statusPublished - 1 Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • crop simulation model
  • ensemble modelling
  • model intercomparison
  • smallholder farming systems
  • uncertainty

Fingerprint

Dive into the research topics of 'Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa'. Together they form a unique fingerprint.

Cite this