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Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan AfricaSmallholder 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 (i) benefited less from an increase in atmospheric [CO2], (ii) was less affected by higher temperature or decreasing rainfall and (iii) was more affected by increased rainfall because N leaching was more critical. The model inter-comparison 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 practices across SSA, because the impact of climate change will be modified if farmers intensify maize production with more mineral fertilizer.
Document ID
20205004367
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
GN Falconnier
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
M Corbeels
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
KJ Boote
(University of Florida Gainesville, Florida, United States)
F Affholder
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
M Adam
(Centre de Coopération Internationale en Recherche Agronomique pour le Développement Paris, France)
DS MacCarthy
(University of Ghana Accra, Ghana)
AC Ruane
(Goddard Institute for Space Studies New York, New York, United States)
C Nendel
(Leibniz Centre for Agricultural Landscape Research Müncheberg, Germany)
AM Whitbread
(International Crops Research Institute for the Semi-Arid Tropics Patancheru, India)
E Justes
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
LR Ahuja
(Agricultural Research Service Washington D.C., District of Columbia, United States)
F.M. Akinseye
(International Crops Research Institute for the Semi-Arid Tropics Patancheru, India)
IN Alou
(University of Pretoria Pretoria, South Africa)
KA Amouzou
(African Plant Nutrition Institute (APNI))
S.S. Anapalli
(Agricultural Research Service Washington D.C., District of Columbia, United States)
C Baron
(Centre de Coopération Internationale en Recherche Agronomique pour le Développement Paris, France)
B Basso
(Michigan State University East Lansing, Michigan, United States)
F Baudron
(International Maize and Wheat Improvement Center (CIMMYT))
AJ Challinor
(University of Leeds Leeds, United Kingdom)
Y Chen
(Chinese Academy of Sciences Beijing, Beijing, China)
D Deryng
(Integrative Research Institute on Transformations of Human-Environment Systems)
ML Elsayed
(Central Laboratory for Agricultural Climate Giza, Egypt)
B Faye
(University of Bonn Bonn, Germany)
T Gaiser
(University of Bonn Bonn, Germany)
M Galdos
(University of Leeds Leeds, United Kingdom)
S Gayler
(University of Hohenheim Stuttgart, Germany)
E Gerardeaux
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
M Giner
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
B Grant
(Agriculture and Agriculture-Food Canada Ottawa, Ontario, Canada)
G Hoogenboom
(University of Florida Gainesville, Florida, United States)
ES Ibrahim
(Leibniz Centre for Agricultural Landscape Research Müncheberg, Germany)
B Kamali
(Leibniz Centre for Agricultural Landscape Research Müncheberg, Germany)
KC Kersebaum
(Leibniz Centre for Agricultural Landscape Research Müncheberg, Germany)
SH Kim
(University of Washington Seattle, Washington, United States)
M van der Laan
(University of Pretoria Pretoria, South Africa)
L Leroux
(University of Montpellier Montpellier, Languedoc-Roussillon, France)
JI Lizaso
(Technical University of Madrid Madrid, Spain)
B Maestrini
(Michigan State University East Lansing, Michigan, United States)
EA Meier
(Commonwealth Scientific and Industrial Research Organisation Canberra, Australian Capital Territory, Australia)
F Mequanint
(University of Hohenheim Stuttgart, Germany)
A Ndoli
(International Maize and Wheat Improvement Center (CIMMYT))
CH Porter
(University of Florida Gainesville, Florida, United States)
E Priesack
(Institute of Biochemical Plant Pathology)
T Sida
(International Maize and Wheat Improvement Center (CIMMYT))
U Singh
(International Center for Soil Fertility and Agricultural Development)
W Smith
(Agriculture and Agriculture-Food Canada Ottawa, Ontario, Canada)
A Srivastava
(University of Bonn Bonn, Germany)
S Sinha
(University of Leeds Leeds, United Kingdom)
F Tao
(Chinese Academy of Sciences Beijing, Beijing, China)
PJ Thorburn
(Commonwealth Scientific and Industrial Research Organisation Canberra, Australian Capital Territory, Australia)
D Timlin
(Crop Systems and Global Change Research Unit)
B Traore
(Institut D'Economie Rurale Bamako, Mali)
T Twine
(University of Minnesota Minneapolis, Minnesota, United States)
H Webber
(Leibniz Centre for Agricultural Landscape Research Müncheberg, Germany)
Date Acquired
July 11, 2020
Publication Date
July 6, 2020
Publication Information
Publication: Global Change Biology
Publisher: Wiley
Volume: 26
Issue: 10
Issue Publication Date: October 1, 2020
ISSN: 1354-1013
e-ISSN: 1365-2486
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 509496.02.80.01.04
WBS: 281945.02.80.01.32
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
Crop simulation model
ensemble modelling
model intercomparison
smallholder farming systems
uncertainty
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