Excessively high rates of fishing mortality have led to rapid declines of several commercially
important fish stocks. To harvest fish stocks sustainably, fisheries management requires …

A hierarchical Bayesian life cycle model is presented that considers spatial covariation of
marine life history traits of Atlantic salmon (Salmo salar) populations in the North Atlantic …

Natural resource management requires approaches to understand and handle sources of
uncertainty in future responses of complex systems to human activities. Here we present one …

Eliciting stakeholders' mental models is an important participatory modeling (PM) tool for
building systems knowledge, a frequent challenge in natural resource management …

It has been acknowledged that natural sciences alone cannot provide an adequate basis for
the management of complex environmental problems. The scientific knowledge base has to …

Different ecosystem models often provide contrasting predictions (model uncertainty), which
is perceived to be a major challenge impeding their use to support ecosystem-based …

Efforts to attain good environmental status in the marine realm require decisions which
cannot be done without knowledge of effects of different management measures. Given the …

Informative Bayesian priors can improve the precision of estimates in ecological studies or
estimate parameters for which little or no information is available. While Bayesian analyses …

The survival of Baltic salmon Salmo salar during the first year at sea (post-smolt stage) has
declined since the beginning of the 1990s. In this analysis, we complement previous studies …

This paper compares two fisheries management objectives recognized in the literature and
applied in practice: maximum sustainable yield (MSY) and maximum economic yield (MEY) …