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

The design and implementation of effective environmental policies need to be informed by a
holistic understanding of the system processes (biophysical, social and economic), their …

Bayesian networks (BNs) are increasingly being used to model environmental systems, in
order to: integrate multiple issues and system components; utilise information from different …

In a world characterised by rapid change, uncertainty and increasing interconnectedness
there is a growing need for science to contribute to the solution of persistent, complex …

The inevitable though frequently informal use of expert opinion in modelling, the increasing
number of models that incorporate formally expert opinion from a diverse range of …

With increasingly uncertain environmental conditions under global change, it is rather
important for water security management to evaluate the flood risk, which is influenced by …

A wide range of quantitative and qualitative modelling research on ecosystem services
(ESS) has recently been conducted. The available models range between elementary …

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 …

Concentrated chemical spills have been shown to impact adversely on fish populations and
even cause localized population extinctions. Evaluating population‐level impacts of …

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 …