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

As species distribution models, and similar techniques, have emerged in marine ecology, a
vast array of predictor variables have been created and diverse methodologies have been …

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

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 …

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 …

Many species of inshore, coastal, and reef fishes in the US Gulf of Mexico (GOM) aggregate
to spawn at specific sites and times. These fish spawning aggregations (FSAs) can be highly …

Diet-based annual biomass indices can potentially use predator stomach contents to
provide information about prey biomass and may be particularly useful for species that are …

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