Spatial stock assessments have been developed to address violations of the dynamic pool
assumption that the region to be assessed contains a single homogeneous stock. The …

Fishery management decisions are commonly guided by stock assessment models that
aggregate outputs across the spatial domain of the species. With refined understanding of …

This special volume of the ICES Journal compiles contributions from the World Conference
on Stock Assessment Methods for Sustainable Fisheries (July 2013, Boston, USA). The …

Spatial population structure is a fundamental aspect of marine populations, yet it is rarely
incorporated in stock assessment models. The unit stock assumption, a common feature of …

Misidentifying spatial population structure may result in harvest levels that are unable to
achieve management goals. We developed a spatially explicit simulation model to …

Mixed‐stock analyses using genetic markers have informed fisheries management in cases
where strong genetic differentiation occurs among local spawning populations, yet many …

Most fisheries stock assessment methods are based on the assumption that fish are
homogeneously distributed across the area being assessed or that fish movement is such …

Understanding population dynamics is essential for achieving sustainable and productive
fisheries. However, estimating recruitment in a stock assessment model involves the …

Abstract Sidney Holt and Ray Beverton are primarily recognized for developing the basis of
demographic stock assessment modelling, but their enduring legacy continues to influence …

Spatially stratified integrated population models (IPMs) can account for fine‐scale
demographic processes and support spatial management for complex, heterogeneous …