Setting up a systematic restoration plan – Uganda as a case study

The Institute for Capacity Exchange in Environmental Decisions (formerly International Institute for Sustainability Australia) and the Food and Agriculture Organization (FAO) of the United Nations worked together to support Uganda’s restoration efforts. This partnership led to the development a tool that integrates biophysical and socioeconomic data to inform Forest Landscape Restoration (FLR) decisions in the country. As a first step, IIS-AU and FAO—in partnership with the National Forestry Authority-Uganda (NFA)— have organized a workshop series on systematic restoration planning for forest restoration in Uganda. The capacity exchange process has included practitioners, policymakers, business experts, and other Ugandan stakeholders working with restoration activities. The initiative aimed to promote information exchange and collaboration to advance forest restoration planning in the country.

The workshop series and live sessions identified plans and visions that were most likely to reflect the restoration objectives.

Here, IIS – AU and the FAO facilitated information exchange by presenting a brief overview of the decision support development process and discussing key opportunities and issues. During the first phase of the process, Ugandan counterparts shared knowledge and information on relevant aspects of restoration planning. This includes Uganda’s restoration objectives and targets, existing policies and initiatives, and governance structures and processes that still need to be set up to achieve desired restoration targets.

Developed a prototype tool to illustrate the spatial optimization planning functionality, evaluate alternative scenarios, and provide end users with a way of interactively exploring and accessing these results

Next steps for the development of the application should include (i) allowing users to access the tabular data within SEPAL (is a cloud computing-based platform for earth Observations, data access, processing and analysis for land monitoring) and to (ii) select subnational areas and clip to those and (iii) providing access to result for other countries.