Woodlands on the Veneto region plain have progressively disappeared since the 19th century. This has led to a decrease in environmental and landscape quality with fewer social benefits accruing from the rural land. The demand for environmental conservation and recreational areas has increased in recent years, especially in the urban context. In order to meet these needs the Venice City Council decided to establish an extensive woodland on the Venice hinterland.

When attempting to address the environmental problems of a catchment, it is important to consider changes in a long-term environmental context. However, the long-term data on the state of the environment that are required for such an examination are rarely documented. Such data collection typically requires several years of investigation and observation. In addition, as there may be a significant time lag between the occurrence of a phenomenon and its cause, subsequent environmental investigations of changing animal and plant states scaling up to 5 years may be inadequate.

Understanding the patterns of land degradation indicators can help to identify areas under threat as basis for designing and implementing site-specific management options. This study sort to identify and assess the patterns of land degradation indicators in selected districts of western Kenya. The study employed the use of Land Degradation Sampling Framework (LDSF) to characterize the sites. LDSF a spatially stratified, random sampling design framework consisting of 10km×10km blocks and clusters of plots.