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 blueprint for an inclusive, global deep-sea ocean decade field program

KL Howell, A Hilário, AL Allcock, DM Bailey… - Frontiers in Marine …, 2020 - frontiersin.org
The ocean plays a crucial role in the functioning of the Earth System and in the provision of
vital goods and services. The United Nations (UN) declared 2021–2030 as the UN Decade …

Recommendations for the standardisation of open taxonomic nomenclature for image-based identifications

T Horton, L Marsh, BJ Bett, AR Gates… - Frontiers in Marine …, 2021 - frontiersin.org
This paper recommends best practice for the use of open nomenclature (ON) signs
applicable to image-based faunal analyses. It is one of numerous initiatives to improve …

Expanding conservation culturomics and iEcology from terrestrial to aquatic realms

I Jarić, U Roll, R Arlinghaus, J Belmaker, Y Chen… - PLoS …, 2020 - journals.plos.org
The ongoing digital revolution in the age of big data is opening new research opportunities.
Culturomics and iEcology, two emerging research areas based on the analysis of online …

An in situ digital synthesis strategy for the discovery and description of ocean life

JA Burns, KP Becker, D Casagrande, J Daniels… - Science …, 2024 - science.org
Revolutionary advancements in underwater imaging, robotics, and genomic sequencing
have reshaped marine exploration. We present and demonstrate an interdisciplinary …

FathomNet: A global image database for enabling artificial intelligence in the ocean

K Katija, E Orenstein, B Schlining, L Lundsten… - Scientific reports, 2022 - nature.com
The ocean is experiencing unprecedented rapid change, and visually monitoring marine
biota at the spatiotemporal scales needed for responsible stewardship is a formidable task …

[HTML][HTML] Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision

N Piechaud, KL Howell - Ecological Informatics, 2022 - Elsevier
With growing anthropogenic pressure on deep-sea ecosystems, large quantities of data are
needed to understand their ecology, monitor changes over time and inform conservation …

[HTML][HTML] Monitoring benthic habitats in English Marine Protected Areas: Lessons learned, challenges and future directions

T Noble-James, R Bullimore, F McBreen, J O'Connor… - Marine Policy, 2023 - Elsevier
Abstract Thousands of Marine Protected Areas (MPAs) have been designated around the
globe to conserve benthic habitats, following the adoption of Convention on Biodiversity …

Framing cutting-edge integrative deep-sea biodiversity monitoring via environmental DNA and optoacoustic augmented infrastructures

S Stefanni, L Mirimin, D Stanković… - Frontiers in marine …, 2022 - frontiersin.org
Deep-sea ecosystems are reservoirs of biodiversity that are largely unexplored, but their
exploration and biodiscovery are becoming a reality thanks to biotechnological advances …

A benthic substrate classification method for seabed images using deep learning: application to management of deep‐sea coral reefs

C Jackett, F Althaus, K Maguire, M Farazi… - Journal of Applied …, 2023 - Wiley Online Library
Protecting deep‐sea coral‐based vulnerable marine ecosystems (VMEs) from human
impacts, particularly bottom trawling, is a major conservation challenge in world oceans …