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
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

294

Informations de copyright

© 2024. The Author(s).

Références

Environ Res Lett. 2017 Dec;12(12):
pubmed: 30881482
PLoS One. 2020 Jun 29;15(6):e0229881
pubmed: 32598391
Nutr Cycl Agroecosyst. 2017 Aug 02;109(1):77-102
pubmed: 33456317
Proc Natl Acad Sci U S A. 2013 May 21;110(21):8357-62
pubmed: 23674681
PLoS One. 2017 Feb 16;12(2):e0169748
pubmed: 28207752
Sci Data. 2024 Mar 14;11(1):294
pubmed: 38485989

Auteurs

Abel Chemura (A)

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands. a.chemura@utwente.nl.
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany. a.chemura@utwente.nl.

Stephanie Gleixner (S)

Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.

Christoph Gornott (C)

Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.
Agroecosystem Analysis and Modelling, Faculty of Organic Agricultural Sciences, University of Kassel, Kassel, Germany.

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Classifications MeSH