Fisheries scientists provide stock, ecosystem, habitat, and climate assessments to support
interdisplinary fisheries management in the US and worldwide. These assessment activities …

Statistical habitat models, such as generalized additive models (GAM s), are key tools for
assisting ecosystem‐based fisheries management (EBFM) efforts. Predictions from GAM s …

Since the onset of fisheries science, monitoring programs have been implemented to
support stock assessments and fisheries management. Here, we take inventory of the …

Spatio-temporal models have become key tools for evaluating population trends and habitat
usage. We developed a spatio-temporal modelling framework employing a combination of …

Many stock assessments heavily rely on indices of relative abundance derived from fisheries-
dependent catch-per-unit-effort (CPUE) data. Therefore, it is critical to evaluate different …

In many situations, species distribution models need to make use of multiple data sources to
address their objectives. We developed a spatio-temporal modelling framework that …

Habitat models have gradually become important tools for assessing and predicting the
spatio-temporal distribution of marine organisms. Species are closely associated with each …

Habitat shifts that occur during the life cycles of marine fishes influence population
connectivity and structure. A generalized additive modeling approach was used to …

Spatio-temporal models are widely applied to standardise research survey data and are
increasingly used to generate density maps and indices from other data sources. We …

Fisheries stock assessments have traditionally modeled age and size composition data
using the multinomial likelihood, however the multinomial cannot appropriately account for …