Sustainable Livelihoods and Climate Resilience through Climate Smart Agriculture (CSA) and Agroforestry (AF) Best Practices in the Northwestern Mountainous Region of Viet Nam - TCP/VIE/3701
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The six northwestern provinces of Viet Nam Hoa Binh Son La, Dien Bien, Lai Chau, Yen Bai and Lao Cai are endowed with rich natural resources that play a crucial role in watershed management for such key river systems as the Da and Ma rivers The six provinces cover a total land area of approximately 5 64 million ha and provide a home to 4 43 million people, of whom 3 35 million are ethnic minorities The provinces are among the poorest regions of the country, with more than 80 percent of the population dependent on agriculture for its livelihood The region has 3 9 million ha of agriculture and forestry land, of which 80 percent is dedicated to forestry and 20 percent to farming In addition to the effect of population pressure on arable land, the expansion of agricultural production onto hilly and sloping land, and the prevalence of maize mono cropping have caused serious deforestation, the degradation of agro ecosystems and landscape fragmentation In addition, the region is characterized by fragile ecosystems, unstable geology and complex topography, and is highly vulnerable to climate change and natural disasters Despite this crucial situation, the introduction of important counter measures, such as tree based intercropping, remains limited Barriers to the large scale adoption of such practices in the region include widespread outdated cultivation practices, a lack of knowledge of climate smart agriculture ( and agroforestry ( practices and significant investment requirements In addition, given the prevalence of monoculture, there is little incentive for farmers, who have limited access to education and an extension system, to diversify their income The aim of the project was thus to enhance the capacities of the government and upland communities to scale up CSA/AF best practices in the Northwestern Mountainous Region of Viet Nam.