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Farm household models to analyse food security in a changing climate: A review

handle: 10568/41660
We systematically reviewed the literature on farm household models, with emphasis on those focused on smallholder systems. The models were evaluated on their predictive ability to describe short term (3–10 years) food security of smallholder farm households under climate variability and under different scenarios of climate change. The review of 126, mainly production-oriented, farm household models, showed that integrated analyses of food security at the farm household level are scarce. Some models deal with elements of food security, but the models covered in this review are weak on decision-making theory and risk analyses. These aspects need urgent attention for dealing with more complex adaptation and mitigation questions, in the face of climatic change. Approaches that make use of decision making theory and combine the strengths of (dynamic) mathematical programming and expert systems decision models seem promising in this respect. They could support the robust evaluation of climate change impacts and adaptive management options on smallholder systems.
- CGIAR France
- CGIAR France
- Oregon State University United States
- International Livestock Research Institute Kenya
- University of Tasmania Australia
330, food security, 630, climate change, gender
330, food security, 630, climate change, gender
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).62 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
