Eastern Mediterranean ecosystems are prone to desertification when under grazing pressure. Therefore, management of grazing intensity plays a crucial role to avoid or to diminish land degradation and to sustain both livelihoods and ecosystem functioning. The dynamic land-use model LandSHIFT was applied to a case study on the country level for Jordan. The impacts of different stocking densities on the environment were assessed through a set of simulation experiments for various combinations of climate input and assumptions about the development of livestock numbers.

Models to predict species’ ranges have chiefly been limited to abiotic variables. However, the full ecological niche depends on a myriad of factors, both biotic and abiotic, that often correspond to completely different data types. We applied a methodology based on data mining techniques to construct ecological niche models composed of biotic as well as abiotic variables using three quite different sets of variables: climatic layers, maps of land cover and point collections of Mexican mammals.

Inappropriate agricultural practices and conversion of marginal land to cultivation and grazing have led to severe land degradation in the Ethiopian highlands. Consequently, the government has invested substantial resources in soil and water conservation (SWC). One of such interventions was exclosure, which was aimed restoring biodiversity, biomass and soil fertility. The aim of this study was to analyze the impact of exclosures on soil fertility restoration and examine its variability across age, agro-ecology and landscape position.