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Rapid Assessment of Natural Resource Degradation in Refugee Impacted Areas in Northern Uganda

Technical Report June 2019 - Updated based on April 2019 refugee statistics











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    Assessment of Forest Resource Degradation and Intervention Options in Refugee-Hosting Areas of Western and Southwestern Uganda 2020
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    Uganda is currently hosting over 1.3 million refugees making it the largest refugee host country in Africa. The inflow of refugees is reported to have exacerbated a range of ongoing environmental impacts and associated challenges, including land degradation and woodland loss, resulting in inadequate access to energy for cooking and competition with local people for water and other natural resources. Supporting more sustainable use of those resources, especially forests and other woodlands, could help address environmental degradation and improve energy access. Building on a 2018 assessment of natural resource degradation in the refugee-hosting areas of northern Uganda, FAO, in collaboration with the World Bank and the Government of Uganda, has undertaken a follow-on assessment of forest resource degradation in the refugee hosting areas in the west and southwest of the country. The study identifies potential intervention options to mitigate pressure on forest resources, restore degraded land, enhance sustainable woodfuel supply and contribute to resilience-building of both the displaced and host communities. The findings of this study will add to the evidence base for the World Bank/Government of Uganda (GoU) investment package ‘Investing in Forests and Protected Areas for Climate-smart Development project’, to be supported under the Refugee Sub-Window of the International Development Association’s 18th and 19th funding rounds. It is envisaged that the study findings will also guide the support of different development partners for programming energy and environment interventions in the forced displacement context.
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    Food security, resilience and well-being analysis of refugees and host communities in Northern Uganda
    FAO Resilience Analysis Report No. 12
    2018
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    In August 2017, FAO was asked by the Commissioner for Refugees (Office of the Prime Minister of Uganda) to support the implementation of a socio-economic analysis within the refugees’ settlements and host communities, with the aim of providing a comprehensive assessment of the current state of the refugees’ food security, well-being and resilience. Although refugees in Uganda are given land and mobility rights, their food security remains low, with a high dependency on food aid. The assumption was that by better understanding refugees’ preferences and livelihoods strategies which determine their resilience, it would be possible to unlock the development potential of the land, increase productivity and help them achieve independence and self-reliance.
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    Rapid Woodfuel Assessment - 2017 Baseline for Bidi Bidi Refugee Settlement, Uganda 2017
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    Uganda is host to more than 1 million refugees who have fled famine, conflict and insecurity in the neighbouring countries of Burundi, the Democratic Republic of the Congo and South Sudan. The recent influx of refugees from South Sudan prompted one of Uganda’s most severe humanitarian emergencies and led to the establishment of the Bidibidi settlement in Yumbe District in August 2016. The Bidibidi refugee settlement is now the largest refugee-hosting area in the world with 272 206 refugees. It h as increased pressure on the environment due to tree felling for settlement establishment and to meet ongoing household demand for woodfuel for cooking and heating. FAO and UNHCR initiated a joint rapid woodfuel assessment in March 2017 to determine the supply and demand of woodfuel resources in the area. The assessment had three components: 1) an assessment of woodfuel demand; 2) an assessment of woodfuel supply; and 3) the identification of interlinkages, gaps, opportunities and alternative sc enarios. Data and information were obtained through a desk review of existing documents, field surveys, and remote sensing analysis.

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