Projecting migration is challenging, due to the context-specific and discontinuous relations between migration and the socioeconomic and environmental conditions that drive this process. Here, we investigate the usefulness of Machine Learning (ML) Random Forest (RF) models to develop three net...

Forest decline and degradation are particularly high in the tropics and pose a risk to those who depend on forest resources. The in-migration of smallholders to forest frontiers can fuel transitions of livelihoods and land and resource use. However, the conditions under which in-migration...

Subsistence farmers with high dependency on natural resources are exceptionally vulnerable to rainfall changes. Besides, they are in the front row when it comes to observing these changes. Studies that systematically investigate similarities and differences between measured and perceived...

Linkages between environmental change and migration can be reciprocal: declining environmental conditions can trigger people to leave a place, while the movement of people to certain places can have implications for the natural environment and may enhance conflict risks. Although a growing body...

Drylands in sub-Saharan Africa are strongly affected by the impacts of climate change. Temperature increases, changes in rainfall patterns, and land degradation pose serious threats to food security, health, and water availability in the region. The increase in livelihood insecurity can in turn...