A recent workshop charted plans for modelling tools that help measure how adaptation options impact farming households, with implications for how adaptation policy is defined.
The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) works to improve the livelihoods of tens of millions of farmers. These farmers live in different continents, different environments (political, cultural and biophysical) and even within a region they are highly diverse. Furthermore, the impacts of climate variability and change differ over space and time.
In consultation with farming communities, how can researchers decide what types of interventions or adaptation options are appropriate for a given group of farmers, when the impacts of climate variability and change unfold differently from year to year ?
Modelling the future, one household at a time
Household level modelling is one tool that can help answer this question. The targeting of interventions such as weather-based index insurance has always been the core business of household level modelling, in which quantitative analysis and calculation methods are used to describe the behaviour and responses of farm households under current and changing conditions.
Lire la suite de l’article sur le site du CCAFS / Read the full article on CCAFS’ website
Source : CCAFS
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