The University of Helsinki leads the research component on Land Use and Biogeophysical information. They will acquire and process remote sensing imagery, such as satellite images and aerial photographs, to be applied for land cover mapping and change detection. Geographical Information Systems (GIS) will be used for deriving geospatial datasets for remote sensing data processing, and for modelling the ecological, agricultural and hydrological variables as well as developing other geospatial datasets of different scales needed in the other WPs. This project component will also build the capacity of stakeholder organizations on utilization of remote sensing and GIS in environmental data management, analysis and linking up the outcomes with climate change impact research.
The University of York leads the research component on Assessment of Impacts on Biodiversity and Habitats. Their focus is on studying how climate change will affect species distribution and their adaptive capacity. The extent and speed of climate change will severely challenge the adaptive capacity of important species like pollinators and agricultural pests and their natural enemies as well as the rural communities that depend on rain-fed agricultural production. Climate and land cover changes affect the habitats of these species, and addressing these threats requires integration of biological research, conservation planning and rural development, and the application of state-of-the art modelling skills. This WP will build regional modelling expertise and will generate predictive models for climate effects on ecosystem services.
The University of Dar es Salaam leads the component on Assessment of Impacts on Water Provision. They will study the impact of climate change on water provision services by monitoring variability and intensity of precipitation, evapotranspiration, and indirectly by detecting changes in land cover and soil properties. They also study the likely impacts of climate change on access to water and related health problems of vulnerable populations identified in the selected water basins. The results from this component include predictive hydrological models under different land cover and climate change scenarios.
The Sokoine University of Agriculture leads Work Package 3 on Valuation of Ecosystem Services. This component provides information about the economic value communities derive from various ecosystem services, which bring monetary values to decision making when choosing from different land use options. Valuation aids in the understanding of how important non-market goods and services are providing and maintaining human welfare. They will identify and characterise the beneficiaries and benefits of ecosystem services necessary for understanding the impact a changing climate will have on the livelihoods of communities. Results from this project component allow decision-makers to understand more clearly the tradeoffs between alternative and competing uses of a given resource.