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|Title:||Indigenous strategies and empirical models for adaptability of the maize-bean intercropping system to climate change||Authors:||Mapanda, S.
Duffy, Kevin Jan
|Keywords:||Indigenous strategies;Empirical models;Climate change;Smallholder farmer and food security||Issue Date:||Dec-2016||Publisher:||UZ Foundatoin||Source:||Mapanda, S. et al. 2016. Indigenous strategies and empirical models for adaptability of the maize-bean intercropping system to climate change. Indilinga African Journal of Indigenous Knowledge Systems - Indigenous strategies and empirical models for adaptability of the maize-bean intercropping system to climate change. 15(3): 328-347.||Journal:||Indilinga ItemCrisRefDisplayStrategy.journals.deleted.icon||Abstract:||This review article discusses on different ways of indigenous strategies and empirical models as an adaptation to climate change by smallholder farmers in Africa. Indigenous adaptation strategies are methods that enable individuals or communities to adjust to the impacts of climate change in local areas. Some of the strategies practiced are: zero tillage, mulching, soil management techniques, organic agriculture and fallow system of cultiva-tion, intercropping with legumes, early planting and use of tolerant varieties to drought, water conservation and crop diversification. Scientists developed many empirical models that are used to project the impact of climate change to agriculture. Some of the empirical models include: CERES-Maize Crop Model, Global Circulation Models (GCM) and histori-cal data records. There is also use of empirical evidence such as indigenous land unit framework, indigenous early warning systems, use of rainmakers, movement of birds, ants and crying of dogs by the indigenous smallholder farmers in Africa. Intercropping system is the best practice used as a strategy to climate change adaptability, and one of the most suitable intercropping systems is that of maize and bean. However, the current research findings revealed that there is a lack of consideration of indigenous knowledge that could enhance livelihoods that depend on natural resources directly affected by climate change.||URI:||http://hdl.handle.net/10321/3032||ISSN:||1683-0296|
|Appears in Collections:||Research Publications (Systems Science)|
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