In recent years, the use of ecological niche models (ENMs) and species distribution models
(SDMs) to explore the patterns and processes behind observed distribution of species has …

Climate‐driven changes in the distribution of species are a pervasive and accelerating
impact of climate change, and despite increasing research effort in this rapidly emerging …

The random forest (RF) model is a powerful machine learning technique that has been
increasingly used for species distribution modeling (SDM) by ecologists and fisheries …

This paper provides a concise review of the remote sensing of ocean fronts in marine
ecology and fisheries, with a particular focus on the most popular front detection algorithms …

Climate change is causing range shifts in many marine species, with implications for
biodiversity and fisheries. Previous research has mainly focused on how species' ranges will …

Marine ecosystem forecasting is an area of active research and rapid development. Promise
has been shown for skillful prediction of physical, biogeochemical, and ecological variables …

Species distribution models (SDMs) have become key tools for describing and predicting
species habitats. In the marine domain, environmental data used in modeling species …

Ocean warming and acidification are serious threats to marine life; however, their individual
and combined effects on large pelagic and predatory fishes are poorly understood. We …

Shifts in species distributions are occurring globally in response to climate change, but
robust comparisons of redistribution rates among species are often prevented by …

The environmental effects of climate change are predicted to cause distribution shifts in
many marine taxa, yet data are often difficult to collect. Quantifying and monitoring species' …