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Mapping the spatial distribution of underutilised crop species under climate change using the MaxEnt model: A case of KwaZulu-Natal, South Africa


Type:
Article
Title:
Mapping the spatial distribution of underutilised crop species under climate change using the MaxEnt model: A case of KwaZulu-Natal, South Africa
Creator:
Mugiyo, H.;
Chimonyo, V.G.P.;
Chimonyo, V.G.P.
ORCID iD iconhttps://orcid.org/0000-0001-9912-9848
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Kunz, R.;
Sibanda, M.;
Sibanda, M.
ORCID iD iconhttps://orcid.org/0000-0002-4589-7099
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Nhamo, L.;
Ramakgahlele Masemolaaf, C.;
Modi, A.T.;
Modi, A.T.
ORCID iD iconhttps://orcid.org/0000-0002-6887-1721
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Mabhaudhi, T.
Mabhaudhi, T.
ORCID iD iconhttps://orcid.org/0000-0002-9323-8127
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Year:
2022
URI:
https://hdl.handle.net/10883/22316
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Climate Services
Journal volume:
28
Article number:
100330
DOI:
10.1016/j.cliser.2022.100330
Place of Publication:
Netherlands
Publisher:
Elsevier
Citation:
Mapping the spatial distribution of underutilised crop species under climate change using the MaxEnt model: A case of KwaZulu-Natal, South Africa. 2022. 28 DOI: 10.1016/j.cliser.2022.100330 Elsevier.

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