Resource managers in the United States and worldwide are tasked with identifying and
mitigating trade-offs between human activities in the deep sea (eg, fishing, energy …

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 …

Predictions of the distribution of groundfish species are needed to support ongoing marine
spatial planning initiatives in Canadian Pacific waters. Data to inform species distribution …

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 …

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 …

Climate change affects temperatures, sea level, and salinities, all of which can affect fish
distributions. In order to assess the impact of climate change on the marine fish communities …

Petroleum platforms in the US Gulf of Mexico (GOM) are important habitats for fishes and
support regional fisheries. However, drivers of the horizontal (ie, latitudinal and longitudinal) …

Nearshore areas represent important habitats for many species, at least for part of their life
cycle. Therefore, modeling and mapping nearshore habitats is essential for natural resource …