Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa.
crop simulation model
ensemble modelling
model intercomparison
smallholder farming systems
uncertainty
Journal
Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
received:
21
12
2019
revised:
19
05
2020
accepted:
22
06
2020
pubmed:
7
7
2020
medline:
30
1
2021
entrez:
7
7
2020
Statut:
ppublish
Résumé
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
Substances chimiques
Fertilizers
0
Nitrogen
N762921K75
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5942-5964Informations de copyright
© 2020 John Wiley & Sons Ltd.
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