sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields
Geostatistical data—spatially referenced observations related to some continuous spatial
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …
Addressing uncertainty when projecting marine species' distributions under climate change
Species distribution models (SDMs) have been widely used to project terrestrial species'
responses to climate change and are increasingly being used for similar objectives in the …
responses to climate change and are increasingly being used for similar objectives in the …
Catch per unit effort modelling for stock assessment: A summary of good practices
Indices of abundance based on fishery catch-per-unit-effort (CPUE) are important
components of many stock assessments, particularly when fishery-independent surveys are …
components of many stock assessments, particularly when fishery-independent surveys are …
Projecting species distributions using fishery‐dependent data
Many marine species are shifting their distributions in response to changing ocean
conditions, posing significant challenges and risks for fisheries management. Species …
conditions, posing significant challenges and risks for fisheries management. Species …
Combining scientific survey and commercial catch data to map fish distribution
Abstract Develo** Species Distribution Models (SDM) for marine exploited species is a
major challenge in fisheries ecology. Classical modelling approaches typically rely on fish …
major challenge in fisheries ecology. Classical modelling approaches typically rely on fish …
Impacts of fisheries-dependent spatial sampling patterns on catch-per-unit-effort standardization: a simulation study and fishery application
Abundance indices derived from fisheries-dependent data (catch-per-unit-effort or CPUE)
are known to have potential for bias, in part because of the usual non-random nature of …
are known to have potential for bias, in part because of the usual non-random nature of …
Combining fishery data through integrated species distribution models
Abstract Species Distribution Models are pivotal for fisheries management. There has been
an increasing number of fishery data sources available, making data integration an attractive …
an increasing number of fishery data sources available, making data integration an attractive …
Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models
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 …
address their objectives. We developed a spatio-temporal modelling framework that …
The shadow model: how and why small choices in spatially explicit species distribution models affect predictions
The use of species distribution models (SDMs) has rapidly increased over the last decade,
driven largely by increasing observational evidence of distributional shifts of terrestrial and …
driven largely by increasing observational evidence of distributional shifts of terrestrial and …
The rapid expansion of offshore wind farms challenges the reliability of ICES-coordinated fish surveys—insights from the Baltic Sea
S Haase, C von Dorrien, O Kaljuste… - ICES Journal of …, 2023 - academic.oup.com
Fish stock assessment and sustainable management requires that the whole distribution
area of the managed fish stocks is representatively sampled. Along with an increasing …
area of the managed fish stocks is representatively sampled. Along with an increasing …