Human activities both depend upon and have consequences on the environment.
Environmental risk assessment (ERA) is a process of estimating the probability and …

Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind
of probabilistic graphical model that has become very popular to practitioners mainly due to …

Bayesian networks (BNs) are an increasingly popular method of modelling uncertain and
complex domains such as ecosystems and environmental management. At best, they …

Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …

A Bayesian network consists of a graphical structure and a probabilistic description of the
relationships among variables in a system. The graphical structure explicitly represents …

The risk of a large-scale oil spill remains significant in marine environments as international
maritime transport continues to grow. The environmental as well as the socio-economic …

This overview article for the special series,“Bayesian Networks in Environmental and
Resource Management,” reviews 7 case study articles with the aim to compare Bayesian …

A key step in implementing Bayesian networks (BNs) is the discretization of continuous
variables. There are several mathematical methods for constructing discrete distributions …

Advancing stakeholder participation beyond consultation offers a range of benefits for local
flood risk management, particularly as responsibilities are increasingly devolved to local …

La grande variabilité dans le recrutement de la morue franche (Gadus morhua) de la
Baltique a été attribuée à des facteurs environnementaux qui dépendent de l'apport d'eau …