Using AgMIP Regional Integrated Assessment Methods to Evaluate Vulnerability, Resilience and Adaptive Capacity for Climate Smart Agricultural Systems

John M. Antle (), Sabine Homann-KeeTui, Katrien Descheemaeker, Patricia Masikati and Roberto O. Valdivia
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John M. Antle: College of Agricultural Sciences, Oregon State University
Sabine Homann-KeeTui: International Crops Research Institute for the Semi-Arid Tropics
Katrien Descheemaeker: Wageningen University
Patricia Masikati: World Agroforestry Centre
Roberto O. Valdivia: Department of Applied Economics

A chapter in Climate Smart Agriculture, 2018, pp 307-333 from Springer

Abstract: Abstract The predicted effects of climate change call for a multi-dimensional method to assess the performance of various agricultural systems across economic, environmental and social dimensions. Climate smart agriculture (CSA) recognizes that the three goals of climate adaptation, mitigation and resilience must be integrated into the framework of a sustainable agricultural system. However, current methods to determine a systems’ ability to achieve CSA goals are lacking. This paper presents a new simulation-based method based on the Regional Integrated Assessment (RIA) methods developed by the Agricultural Model Inter-comparison and Improvement Project (AgMIP) for climate impact assessment. This method combines available data, field- and stakeholder-based surveys, biophysical and economic models, and future climate and socio-economic scenarios. It features an integrated farm and household approach and accounts for heterogeneity across biophysical and socioeconomic variables as well as temporal variability of climate indicators. This method allows for assessment of the technologies and practices of an agricultural system to achieve the three goals of CSA. The case study of a mixed crop livestock system in western Zimbabwe is highlighted as a typical smallholder agricultural systems in Africa.

Date: 2018
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DOI: 10.1007/978-3-319-61194-5_14

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