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 …

Biodiversity is globally recognised as a cornerstone of healthy ecosystems, and biodiversity
conservation is increasingly becoming one of the important aims of environmental …

A Bayesian hierarchical approach is presented for the estimation of length‐weight
relationships (LWR) in fishes. In particular, estimates are provided for the LWR parameters a …

Many coastal and offshore fish species are highly dependent on specific habitat types for
population maintenance. In the Baltic Sea, shallow productive habitats in the coastal zone …

Coastal fisheries are typically characterized by species-rich catch compositions and limited
management resources, which typically leads to notably data-poor situations for stock …

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 …

Analytical and simulation results with hypothetical vectors of biological parameters were
employed to demonstrate the impact of variable reproductive potential on reference points …

We review a success story regarding Bayesian inference in fisheries management in the
Baltic Sea. The management of salmon fisheries is currently based on the results of a …

This paper presents a framework for quantifying uncertainty in per-recruit analysis for small
yellow croaker (Larimichthys polyactis) fisheries in China, in which credible estimates of life …

Despite their name, hierarchical stock–recruit meta-analyses are often parameterized in
terms of steepness, which depends not only on the assumed stock–recruitment relationship …