Cotton yield in central field experiments in the main research sites of the WASCAL Core Research Program, 2013 Function of crop rotation and residue mangement, tillage and N fertilization. Data is captured on field plot level.

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

This dataset is the third of a series of datasets addressing farmers' adaptation to climate change in West-Africa, specifically in Dano, Burkina Faso and Dassari, Benin. This Data was obtained by interviews with 137 people from 17 communities,in Dassari. It provides information on the household level in regard to the aspects; changes in climate, hazards, and drivers of climate change.

Robust risk assessment requires accurate flood intensity area mapping to allow for the identification of populations and elements at risk. However, available flood maps in West Africa lack spatial variability while global datasets have resolutions too coarse to be relevant for local scale risk assessment. Consequently, local disaster managers are forced to use traditional methods such as watermarks on buildings and media reports to identify flood hazard areas. In this study, remote sensing and Geographic Information System (GIS) techniques were combined with hydrological and statistical models to delineate the spatial limits of flood hazard zones in selected communities in Ghana, Burkina Faso and Benin. The approach involves estimating peak runoff concentrations at different elevations and then applying statistical methods to develop a Flood Hazard Index (FHI). Results show that about half of the study areas fall into high intensity flood zones. Empirical validation using statistical confusion matrix and the principles of Participatory GIS show that flood hazard areas could be mapped at an accuracy ranging from 77% to 81%. This was supported with local expert knowledge which accurately classified 79% of communities deemed to be highly susceptible to flood hazard. The results will assist disaster managers to reduce the risk to flood disasters at the community level where risk outcomes are first materialized.

Bulk density values for the 21 soil units of the Dano catchment. Also include the horizon depth for each soil.

Thesis - Abstract Supervisors: - Prof. B. Diekkrueger Contribution to the Core Research Program Work-Package: RC 2 - Landscape Dynamics WP 2.3 - Water Scarcity

Climate data Koundri/Benin Measured parameters: Air temperature Relative humidity Solar radiation Precipitation Windspeed Winddirection Timestep: hourly