Applied ecology has traditionally approached management problems through a simplified,
single-species lens. Repeated failures of single-species management have led us to a new …

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

There is an increasing need for environmental management advice that is wide-scoped,
covering various interlinked policies, and realistic about the uncertainties related to the …

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), 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 …

Wetlands are valuable natural capital and sensitive ecosystems facing significant risks from
anthropogenic and climatic stressors. An assessment of the environmental risk levels for …

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

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 …

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 …