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Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa

Several neglected and underutilised species (NUS) provide solutions to climate change and creating a Zero Hunger world, the Sustainable Development Goal 2. Several NUS are drought and heat stress-tolerant, making them ideal for improving marginalised cropping systems in drought-prone areas. However,...

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Autores principales: Mugiyo, Hillary, Chimonyo, Vimbayi G. P., Sibanda, Mbulisi, Kunz, Richard, Nhamo, Luxon, Masemola, Cecelia R., Dalin, Caroline, Modi, Albert T., Mabhaudhi, Tafadzwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815157/
https://www.ncbi.nlm.nih.gov/pubmed/33465120
http://dx.doi.org/10.1371/journal.pone.0244734
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author Mugiyo, Hillary
Chimonyo, Vimbayi G. P.
Sibanda, Mbulisi
Kunz, Richard
Nhamo, Luxon
Masemola, Cecelia R.
Dalin, Caroline
Modi, Albert T.
Mabhaudhi, Tafadzwa
author_facet Mugiyo, Hillary
Chimonyo, Vimbayi G. P.
Sibanda, Mbulisi
Kunz, Richard
Nhamo, Luxon
Masemola, Cecelia R.
Dalin, Caroline
Modi, Albert T.
Mabhaudhi, Tafadzwa
author_sort Mugiyo, Hillary
collection PubMed
description Several neglected and underutilised species (NUS) provide solutions to climate change and creating a Zero Hunger world, the Sustainable Development Goal 2. Several NUS are drought and heat stress-tolerant, making them ideal for improving marginalised cropping systems in drought-prone areas. However, owing to their status as NUS, current crop suitability maps do not include them as part of the crop choices. This study aimed to develop land suitability maps for selected NUS [sorghum, (Sorghum bicolor), cowpea (Vigna unguiculata), amaranth and taro (Colocasia esculenta)] using Analytic Hierarchy Process (AHP) in ArcGIS. Multidisciplinary factors from climatic, soil and landscape, socio-economic and technical indicators overlaid using Weighted Overlay Analysis. Validation was done through field visits, and area under the curve (AUC) was used to measure AHP model performance. The results indicated that sorghum was highly suitable (S1) = 2%, moderately suitable (S2) = 61%, marginally suitable (S3) = 33%, and unsuitable (N1) = 4%, cowpea S1 = 3%, S2 = 56%, S3 = 39%, N1 = 2%, amaranth S1 = 8%, S2 = 81%, S3 = 11%, and taro S1 = 0.4%, S2 = 28%, S3 = 64%, N1 = 7%, of calculated arable land of SA (12 655 859 ha). Overall, the validation showed that the mapping exercises exhibited a high degree of accuracies (i.e. sorghum AUC = 0.87, cowpea AUC = 0.88, amaranth AUC = 0.95 and taro AUC = 0.82). Rainfall was the most critical variable and criteria with the highest impact on land suitability of the NUS. Results of this study suggest that South Africa has a huge potential for NUS production. The maps developed can contribute to evidence-based and site-specific recommendations for NUS and their mainstreaming. Also, the maps can be used to design appropriate production guidelines and to support existing policy frameworks which advocate for sustainable intensification of marginalised cropping systems through increased crop diversity and the use of stress-tolerant food crops.
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spelling pubmed-78151572021-01-27 Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa Mugiyo, Hillary Chimonyo, Vimbayi G. P. Sibanda, Mbulisi Kunz, Richard Nhamo, Luxon Masemola, Cecelia R. Dalin, Caroline Modi, Albert T. Mabhaudhi, Tafadzwa PLoS One Research Article Several neglected and underutilised species (NUS) provide solutions to climate change and creating a Zero Hunger world, the Sustainable Development Goal 2. Several NUS are drought and heat stress-tolerant, making them ideal for improving marginalised cropping systems in drought-prone areas. However, owing to their status as NUS, current crop suitability maps do not include them as part of the crop choices. This study aimed to develop land suitability maps for selected NUS [sorghum, (Sorghum bicolor), cowpea (Vigna unguiculata), amaranth and taro (Colocasia esculenta)] using Analytic Hierarchy Process (AHP) in ArcGIS. Multidisciplinary factors from climatic, soil and landscape, socio-economic and technical indicators overlaid using Weighted Overlay Analysis. Validation was done through field visits, and area under the curve (AUC) was used to measure AHP model performance. The results indicated that sorghum was highly suitable (S1) = 2%, moderately suitable (S2) = 61%, marginally suitable (S3) = 33%, and unsuitable (N1) = 4%, cowpea S1 = 3%, S2 = 56%, S3 = 39%, N1 = 2%, amaranth S1 = 8%, S2 = 81%, S3 = 11%, and taro S1 = 0.4%, S2 = 28%, S3 = 64%, N1 = 7%, of calculated arable land of SA (12 655 859 ha). Overall, the validation showed that the mapping exercises exhibited a high degree of accuracies (i.e. sorghum AUC = 0.87, cowpea AUC = 0.88, amaranth AUC = 0.95 and taro AUC = 0.82). Rainfall was the most critical variable and criteria with the highest impact on land suitability of the NUS. Results of this study suggest that South Africa has a huge potential for NUS production. The maps developed can contribute to evidence-based and site-specific recommendations for NUS and their mainstreaming. Also, the maps can be used to design appropriate production guidelines and to support existing policy frameworks which advocate for sustainable intensification of marginalised cropping systems through increased crop diversity and the use of stress-tolerant food crops. Public Library of Science 2021-01-19 /pmc/articles/PMC7815157/ /pubmed/33465120 http://dx.doi.org/10.1371/journal.pone.0244734 Text en © 2021 Mugiyo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mugiyo, Hillary
Chimonyo, Vimbayi G. P.
Sibanda, Mbulisi
Kunz, Richard
Nhamo, Luxon
Masemola, Cecelia R.
Dalin, Caroline
Modi, Albert T.
Mabhaudhi, Tafadzwa
Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa
title Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa
title_full Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa
title_fullStr Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa
title_full_unstemmed Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa
title_short Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa
title_sort multi-criteria suitability analysis for neglected and underutilised crop species in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815157/
https://www.ncbi.nlm.nih.gov/pubmed/33465120
http://dx.doi.org/10.1371/journal.pone.0244734
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