Dataset of the suitability of major food crops in Africa under climate change.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
14 Mar 2024
14 Mar 2024
Historique:
received:
07
08
2023
accepted:
04
03
2024
medline:
18
3
2024
pubmed:
15
3
2024
entrez:
15
3
2024
Statut:
epublish
Résumé
Understanding the extent and adapting to the impacts of climate change in the agriculture sector in Africa requires robust data on which technical and policy decisions can be based. However, there are no publicly available comprehensive data of which crops are suitable where under current and projected climate conditions for impact assessments and targeted adaptation planning. We developed a dataset on crop suitability of 23 major food crops (eight cereals, six legumes & pulses, six root & tuber crops, and three in banana-related family) for rainfed agriculture in Africa in terms of area and produced quantity. This dataset is based on the EcoCrop model parameterized with temperature, precipitation and soil data and is available for the historical period and until mid-century. The scenarios used for future projections are SSP1:RCP2.6, SSP3:RCP7.0 and SSP5:RCP8.5. The dataset provides a quantitative assessment of the impacts of climate change on crop production potential and can enable applications and linkages of crop impact studies to other socioeconomic aspects, thereby facilitating more comprehensive understanding of climate change impacts and assessment of options for building resilience.
Identifiants
pubmed: 38485989
doi: 10.1038/s41597-024-03118-1
pii: 10.1038/s41597-024-03118-1
pmc: PMC10940296
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
294Informations de copyright
© 2024. The Author(s).
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Sci Data. 2024 Mar 14;11(1):294
pubmed: 38485989