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Policy briefSustaining restoration of the Great Green Wall through sustainable livelihoods in Nigeria 2023
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No results found.Evaluation of the Action Against Desertification Programme (AAD) in Northern Nigeria. To address the lack of baseline information, a counterfactual scenario was built based on ex ante spatial program information and a combination of machine learning and quasi-experimental impact evaluation techniques. We find that large-scale, bottom-up-led, land restoration in Northern Nigeria led to the adoption of more climate-resilient options. Households participating in the programme increased the commercialization of livestock by-products and non-timber forest products (NTFPs) as promoted activities targeted local market opportunities. Also, changes in livelihoods did not result in food insecurity, to the contrary, they improved it. -
Book (stand-alone)Non-wood forest products of Central Africa: current research issues and prospects for conservation and development 1999
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Book (stand-alone)Toolkit for value chain analysis and market development integrating climate resilience and gender responsiveness
Integrating agriculture in National Adaptation Plans (NAP-Ag) Programme
2019Also available in:
No results found.This toolkit aims to help countries in selecting and analysing value chains for opportunities to improve climate change resilience and reduce gender inequalities. It intends to provide policy makers, planners, project developers, technical advisors and implementers at local, regional or national level with good practices of climate-resilient and gender-responsive value chain development. It aims to act as a repository of relevant tools and methodologies for identifying relevant stakeholders and engaging with them to collect data and analyse it to design interventions. Climate change threatens agricultural value chains, and having a gender-responsive value chain approach is useful in analysing the climate risks, as it looks at stages during and beyond production, while using a more systemic approach to risk management.
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