Africa / CGIAR / CIAT / Climate Change / Environment / Impact Assessment / Livestock / LIVESTOCK-FISH / SLS / Systems Analysis / Targeting / Value Chains

Prioritizing climate-smart livestock interventions in Africa

Around the world, there is a pressing need for wide-scale innovation leading to development that improves the livelihoods and food security of the world’s population while at the same time addressing climate change adaptation and mitigation. While there are various promising climate-smart interventions, prioritizing them is a challenge.

In this paper, the authors provide a generic framework for evaluating and prioritizing potential interventions comprising the mapping of recommendation domains, assessing adoption potential and estimating impacts. Through examples related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings. It has a wide applicability in planning for climate-smart agriculture, which invariably involves multi-stakeholder, multi-scale and multi-objective decision-making.

Read the open access article:

Notenbaert, An., Pfeifer, Catherine., Silvestri, Silvia and Herrero, Mario. 2016. Targeting, out-scaling and prioritising climate-smart interventions in agricultural systems: Lessons from applying a generic framework to the livestock sector in sub-Saharan Africa. Agricultural Systems. http://dx.doi.org/10.1016/j.agsy.2016.05.017

The article resulted from the CLEANED project to develop a ‘Comprehensive Livestock Environment Assessment for Improved Nutrition, a Secured Environment and Sustainable Development along Livestock Value Chains.’ The project was financed by the Bill & Melinda gates Foundation.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s