Livelihood zoning consists in identifying areas where rural people share relatively homogeneous living conditions, on the basis of a combination of biophysical and socio-economic determinants. The main criteria to establish livelihood zones are: the predominant source of income (livelihood activities); the natural resources available to people and the way they are used; and the prevailing agroclimatic conditions that influence farming activities. Patterns of livelihood vary from one area to another, based on local factors such as climate, soil or access to markets. The analysis delineates geographical areas within which people share similar livelihood patterns: source of living, access to food, farming practices, including crops, livestock and access to markets. The map of livelihood zones is the main output from a participatory mapping workshop and forms the basis for the overall AWM assessment. It describes and geographically locates the different country livelihood contexts, focusing on the main smallholders’ livelihood strategies, their water-related problems and other constraints for development, and the role agricultural water management plays for their livelihoods. An attribute table provides a detailed description of each livelihood zone.

Map of discharge stations used by Mouhamed Idrissou for getting runoff data from the Dano Catchment.

The majority of the people of West Africa are engaged in agriculture and related activities. As such, land is an important factor of agricultural production. But land scarcity and fragmentation in the wake of population growth, climatic variability and environmental deterioration have undermined large-scale agricultural production. This has worsened the poverty and food insecurity situation in the subregion. With migration as an integral feature of the socioeconomic dynamics of most societies, people have–apart from other responses–resorted to migration in search of fertile land and economic opportunities.

Groundwater dynamic for Bankandi station in the Dano catchment during the year 2013. Station coordinates (UTM): X 489905 Y 1243909

The study assesses the effect of climate and land use change on water resources and soil ero-sion in the Dano catchment, Burkina Faso. Field measurements and derived process under-standing are complemented by a physically based modeling approach that is also used to simu-late the impact of land use and climate change. Extensive hydro-meteorological (e. g. precipitation, discharge), pedological (e. g. texture, bulk density) and soil erosion measurements (e. g. suspended sediment load) are investigated to gain knowledge on governing hydrological and soil erosion processes. Data from erosion plot measurements suggest statistically significant differences of runoff and soil erosion between differently used plots. The data and the retrieved understanding are used to setup and drive the physically based spa-tially distributed hydrological and soil erosion model SHETRAN. Statistical performance measures (R², NSE, KGE) range between 0.66 and 0.8 for the calibration and validation of dis-charge. Achieved quality measures of suspended sediment load are lower than for hydrology but comparable to other SHETRAN studies. The impact of land use and land cover (LULC) change on water resources and soil erosion is studied by applying observed and modeled land use maps to the period 1990 – 2030. The past LULC change is studied using land use maps of the years 1990, 2000, 2007 and 2013. Based on these maps future LULC scenarios were developed for the years 2019, 2025 and 2030. Ob-served and modeled climate data cover the period 1990 – 2030. The observed past and modeled future LULC maps are used to feed SHETRAN. The isolated and combined influence of LULC and climate change is investigated. The land use investigation from 1990 to 2013 suggests a decrease of savanna at annual rates of 1.15% while cropland and settlement areas have increased. The simulations that assumed a constant climate and a changing LULC show in-creasing water yield (3.9% – 77.5%) and mainly increasing specific sediment yield (-1.4% – 115.78%). The simulations that assume constant LULC and climate as changing factor indicate increases in water yield of 24.5% to 46.7% and in sediment yield of 31.1% to 54.7%. The com-bined application of LULC and climate change signals a clear increase in water yield (20.3% – 73.4%) and specific sediment yield (24.7% to 90.1%). Actual evapotranspiration is estimated to change across all simulations by -6.8% to 3.35%. The predicted climate change signal is investigated in detail by comparing the future period 2021 – 2050 with the historical period 1971 – 2000. Representative concentration pathways (RCP) 4.5 and 8.5 of six datasets of the CORDEX framework were used to study the future change in tem-perature and precipitation. Most of the used climate models predict an increase of temperature between 0.9°C and 2.0°C. Large uncertainties among the climate models exist regarding the climate change signal of future precipitation. Some climate models predict an increase (5.9% – 36.5%) others a decreased (6.4% – 10.9%) or a mixed signal. The application of the historical and future climate data to SHETRAN shows that future changes in discharge and specific sedi-ment yield follow the predicted precipitation signal. Simulated future discharge change ranges from -43% to +207%. The future change in sediment yield is in the same order.