Bayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions...

Bayesian networks (BNs) have been increasingly applied to support management and decision-making processes under conditions of environmental variability and uncertainty, providing logical and holistic reasoning in complex systems since they succinctly and effectively translate causal assertions...

En los últimos años, la frontera agrícola en el Estado Plurinacional de Bolivia se ha expandido considerablemente. Debido al cambio climático, se espera una reducción del rendimiento de los cultivos, lo que producirá una nueva expansión en dicha frontera. Por este motivo, es necesario...

In recent decades, the rapid development of coastal regions, driven by sustained economic growth and population migration, has amplified their susceptibility to climate-induced hazards. The need to address these challenges in socio-economic coastal hotspots has become a pressing concern,...

As the impacts of climate change are expected to be increasingly disruptive, a growing share of the economic literature moved to modelling approaches to address the interconnectedness of social, economic, and environmental issues. Among them, System Dynamics (SD) stands out as a well-established...

We propose an integrated methodology to evaluate the four possible socio-economic costs namely direct/indirect and tangible/intangible costs due to adverse consequences of flood. Although SERRA is based on full monetization of costs and benefits of risk, it can allow for other methods of...