Machine learning in marine ecology: an overview of techniques and applications

P Rubbens, S Brodie, T Cordier… - ICES Journal of …, 2023 - academic.oup.com
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 …

A review of geospatial technologies for improving Marine Spatial Planning: Challenges and opportunities

I Schwartz-Belkin, ME Portman - Ocean & Coastal Management, 2023 - Elsevier
Common marine spatial planning challenges include lack of data on the marine
environment, high mobility of both animals and humans, and plan implementation …

Projecting marine species range shifts from only temperature can mask climate vulnerability

J McHenry, H Welch, SE Lester… - Global Change …, 2019 - Wiley Online Library
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 …

Decision‐support tools for dynamic management

H Welch, S Brodie, MG Jacox, SJ Bograd… - Conservation …, 2020 - Wiley Online Library
Spatial management is a valuable strategy to advance regional goals for nature
conservation, economic development, and human health. One challenge of spatial …

Using temporally explicit habitat suitability models to infer the migratory pattern of a large mobile shark

AM De Wysiecki, N Sánchez-Carnero… - Canadian Journal of …, 2020 - cdnsciencepub.com
Conservation and management measures for large mobile sharks are more effective when
information on migratory patterns and environmental cues are known. In the absence of long …

Contemporary and future distributions of cobia, Rachycentron canadum

DP Crear, BE Watkins, VS Saba… - Diversity and …, 2020 - Wiley Online Library
Aim Climate change has influenced the distribution and phenology of marine species,
globally. However, knowledge of the impacts of climate change is lacking for many species …