Machine learning in marine ecology: an overview of techniques and applications
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …
patterns in data. Thanks to the increase in the amount of data and computing power …
Research priorities to support effective manta and devil ray conservation
Manta and devil rays are filter-feeding elasmobranchs that are found circumglobally in
tropical and subtropical waters. Although relatively understudied for most of the Twentieth …
tropical and subtropical waters. Although relatively understudied for most of the Twentieth …
Recommendations for quantifying and reducing uncertainty in climate projections of species distributions
Projecting the future distributions of commercially and ecologically important species has
become a critical approach for ecosystem managers to strategically anticipate change, but …
become a critical approach for ecosystem managers to strategically anticipate change, but …
Dynamic ensemble models to predict distributions and anthropogenic risk exposure for highly mobile species
Aim Advances in ecological and environmental modelling offer new opportunities for
estimating dynamic habitat suitability for highly mobile species and supporting management …
estimating dynamic habitat suitability for highly mobile species and supporting management …
Progress on implementing ecosystem-based fisheries management in the United States through the use of ecosystem models and analysis
Worldwide fisheries management has been undergoing a paradigm shift from a single-
species approach to ecosystem approaches. In the United States, NOAA has adopted a …
species approach to ecosystem approaches. In the United States, NOAA has adopted a …
Trade‐offs in covariate selection for species distribution models: a methodological comparison
Species distribution models (SDMs) are a common approach to describing species' space‐
use and spatially‐explicit abundance. With a myriad of model types, methods and …
use and spatially‐explicit abundance. With a myriad of model types, methods and …
[HTML][HTML] Adaptive marine conservation planning in the face of climate change: What can we learn from physiological, ecological and genetic studies?
Rapid anthropogenic climate change is a major threat to ocean biodiversity, increasing the
challenge for marine conservation. Strategic conservation planning, and more recently …
challenge for marine conservation. Strategic conservation planning, and more recently …
Predictability of species distributions deteriorates under novel environmental conditions in the California Current System
Spatial distributions of marine fauna are determined by complex interactions between
environmental conditions and animal behaviors. As climate change leads to warmer, more …
environmental conditions and animal behaviors. As climate change leads to warmer, more …
Dynamic human, oceanographic, and ecological factors mediate transboundary fishery overlap across the Pacific high seas
The management and conservation of tuna and other transboundary marine species have to
date been limited by an incomplete understanding of the oceanographic, ecological and …
date been limited by an incomplete understanding of the oceanographic, ecological and …
Seasonal-to-interannual prediction of North American coastal marine ecosystems: Forecast methods, mechanisms of predictability, and priority developments
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 …
has been shown for skillful prediction of physical, biogeochemical, and ecological variables …