Machine learning for microalgae detection and utilization

H Ning, R Li, T Zhou - Frontiers in Marine Science, 2022 - frontiersin.org
Microalgae are essential parts of marine ecology, and they play a key role in species
balance. Microalgae also have significant economic value. However, microalgae are too …

Applications of machine learning in Chemical and Biological Oceanography

B Sadaiappan, P Balakrishnan, V CR, NT Vijayan… - ACS …, 2023 - ACS Publications
Machine learning (ML) refers to computer algorithms that predict a meaningful output or
categorize complex systems based on a large amount of data. ML is applied in various …

Application of machine learning in ocean data

R Lou, Z Lv, S Dang, T Su, X Li - Multimedia Systems, 2023 - Springer
In recent years, machine learning has become a hot research method in various fields and
has been applied to every aspect of our life, providing an intelligent solution to problems that …

Adaptive carbon export response to warming in the Sargasso Sea

MW Lomas, NR Bates, RJ Johnson… - Nature …, 2022 - nature.com
Ocean ecosystem models predict that warming and increased surface ocean stratification
will trigger a series of ecosystem events, reducing the biological export of particulate carbon …

Collapse of scallop Nodipecten nodosus production in the tropical Southeast Brazil as a possible consequence of global warming and water pollution

C Thompson, L Bacha, PHC Paz, MAP Oliveira… - Science of The Total …, 2023 - Elsevier
Mollusc rearing is a relevant global socioeconomic activity. However, this activity has faced
severe problems in the last years in southeast Brazil. The mariculture scallop production …

Ultra‐oligotrophic waters expansion in the North Atlantic Subtropical Gyre revealed by 21 years of satellite observations

FE Leonelli, M Bellacicco, J Pitarch… - Geophysical …, 2022 - Wiley Online Library
Abstract The North Atlantic Subtropical Gyre (NASTG) has experienced the fastest
expansion of oligotrophic waters worldwide in response to ocean warming. We study the …

Evaluation of three contrasting models in estimating primary production from ocean color remote sensing using long-term time-series data at oceanic and coastal sites

J Wu, Z Lee, J Goes, H do Rosario Gomes… - Remote Sensing of …, 2024 - Elsevier
Accurate estimates of depth-integrated Net Primary Production (NPP, mg C m− 2 d− 1) and
the creation of a robust climate data record of NPP for the global oceans are essential goals …

Climate variability shifts the vertical structure of phytoplankton in the Sargasso Sea

JJ Viljoen, X Sun, RJW Brewin - Nature Climate Change, 2024 - nature.com
Marine phytoplankton are essential to ocean biogeochemical cycles. However, our
understanding of changes in phytoplankton rely largely on satellite data, which can only …

Contrasting phytoplankton composition and primary productivity in multiple mesoscale eddies along the East Australian coast

GF Firme, DJ Hughes, L Laiolo, M Roughan… - Deep Sea Research …, 2023 - Elsevier
Mesoscale eddies drive variability in phytoplankton functional trait composition and primary
productivity (PP) relative to adjacent waters. Offshore waters in southeast Australia are …

Coral calcification responses to the North Atlantic Oscillation and coral bleaching in Bermuda

TA Courtney, T Kindeberg, AJ Andersson - PLoS One, 2020 - journals.plos.org
The North Atlantic Oscillation (NAO) has been hypothesized to drive interannual variability in
Bermudan coral extension rates and reef-scale calcification through the provisioning of …