Cropland yield divergence over Africa and its implication for mitigating food insecurity

Yibo Luan, Wenquan Zhu (), Xuefeng Cui (), Günther Fischer (), Terence P. Dawson (), Peijun Shi () and Zhenke Zhang ()
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Yibo Luan: Nanjing University
Wenquan Zhu: Beijing Normal University
Xuefeng Cui: School of Systems Science, Beijing Normal University
Günther Fischer: WAT, International Institute for Applied Systems Analysis
Terence P. Dawson: King’s College London
Peijun Shi: Beijing Normal University
Zhenke Zhang: Nanjing University

Mitigation and Adaptation Strategies for Global Change, 2019, vol. 24, issue 5, No 2, 707-734

Abstract: Abstract Despite globalization and the scale of international food trade, access to sufficient food remains a major challenge in Africa. The most effective way to mitigate food insecurity is to increase crop production. To answer the question that whether African countries have the capacity to mitigate food shortages by best cultivating practices observed on current cropland, in this study, we use the local net primary productivity scaling (LNS) method to evaluate the currently attainable potential yield-gap (CAYgap). The CAYgap is initially used to suggest steps towards best regional agricultural practices and provide an indicator of regional divergence of cropland productivity in each homogeneous agro-climatic zone. Results indicate that under current climatic conditions, improving each countries’ productivity to the zonal optimal level, around ~ 90% of all African countries have the capacity to mitigate their current energy shortages independently. Thus, to achieve ending hunger, possible efforts are needed which include (1) clarifying what and how socio-economic and institutional factors cause yield divergence across agro-climatic zones and establishing relevant practical policies; (2) strengthening the resilience of food access to make national food availability favors households and individuals; and (3) establishing systematically monitoring platforms on dynamics of crop yields from pixel to regional and from growth phrase to decadal scales. Furthermore, our study demonstrates the feasibility of applying satellite-derived indicators for the maximum yield achieved method to quantify and map the current cropland yield divergence by LNS method, and this method could be applied on different spatial level from regional to global scale with reasonable homogeneous zone scheme.

Keywords: Cropland yield; Spatial divergence; Agro-climatic homogeneous zone; NDVI; Food security; Africa (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11027-018-9827-7

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