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Climate change and ecological intensification of agriculture in sub-Saharan Africa – A systems approach to predict maize yield under push-pull technology

Authors :
Alexandridis, Nikolaos
Feit, Benjamin
Kihara, Job
Luttermoser, Tim
May, Wilhelm
Midega, Charles
Öborn, Ingrid
Poveda, Katja
Sileshi, Gudeta W.
Zewdie, Beyene
Clough, Yann
Jonsson, Mattias
Alexandridis, Nikolaos
Feit, Benjamin
Kihara, Job
Luttermoser, Tim
May, Wilhelm
Midega, Charles
Öborn, Ingrid
Poveda, Katja
Sileshi, Gudeta W.
Zewdie, Beyene
Clough, Yann
Jonsson, Mattias
Publication Year :
2023

Abstract

Assessing effects of climate change on agricultural systems and the potential for ecological intensification to increase food security in developing countries is essential to guide management, policy-making and future research. ‘Push-pull’ technology (PPT) is a poly-cropping design developed in eastern Africa that utilizes plant chemicals to mediate plant–insect interactions. PPT application yields significant increases in crop productivity, by reducing pest load and damage caused by arthropods and parasitic weeds, while also bolstering soil fertility. As climate change effects may be species- and/or context-specific, there is need to elucidate how, in interaction with biotic factors, projected climate conditions are likely to influence future functioning of PPT. Here, we first reviewed how changes in temperature, precipitation and atmospheric CO2 concentration can influence PPT components (i.e., land use, soils, crops, weeds, diseases, pests and their natural enemies) across sub-Saharan Africa (SSA). We then imposed these anticipated responses on a landscape-scale qualitative mathematical model of maize production under PPT in eastern Africa, to predict cumulative, structure-mediated impacts of climate change on maize yield. Our review suggests variable impacts of climate change on PPT components in SSA by the end of the 21st century, including reduced soil fertility, increased weed and arthropod pest pressure and increased prevalence of crop diseases, but also increased biological control by pests’ natural enemies. Extrapolating empirical evidence of climate effects to predict responses to projected climate conditions is mainly limited by a lack of mechanistic understanding regarding single and interactive effects of climate variables on PPT components. Model predictions of maize yield responses to anticipated impacts of climate change in eastern Africa suggest predominantly negative future trends. Nevertheless, maize yields can be sustained or increased by favour

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1457483075
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.agee.2023.108511