Droughts are significant drivers of land degradation, which in turn has adverse effects on
resource-dependent rural populations and can potentially lead to livelihood losses and …

Climate change is leading to more extreme weather hazards, forcing human populations to
be displaced. We employ explainable machine learning techniques to model and …

Understanding how livelihood diversification contributes to long-term non-migration
decisions of people at risks is innovative and timely in the context of future climate change …

As researchers collect large amounts of data in the social sciences through household
surveys, challenges may arise in how best to analyze such datasets, especially where …

The financial sector, by mobilizing capital, is fundamental to adapt and mitigate the impact of
climate change in the economy. This has led to the emergence of a new research field …

Coastal residents of Bangladesh are now confronted with the increased incidence,
variability, and severity of weather-related hazards and disasters due to climate change …

Understanding and forecasting human mobility in response to climatic and environmental
changes has become a subject of substantial political, societal, and academic interest …

Place attachment is an important factor that may influence migration decisions, although
how it relates to environmental change and mobility is poorly understood. This article uses …

Anthropogenic disruption of the global phosphorus (P) cycle has already pushed it beyond
the planetary boundary. Understanding P metabolism at global, regional and local scales is …

Although there are a number of approaches to constructing a measure of multidimensional
social exclusion in later life, theoretical and methodological challenges exist around the …