AIMC Topic: Oceans and Seas

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Human alterations to global riverine phosphorus fluxes to the ocean.

Science advances
Rivers regulate land-ocean total phosphorus (TP) fluxes critical to ecosystem health and food security, yet global dynamics remain poorly understood due to limited observations. Here, we develop a machine learning framework integrating multimodal dat...

High-resolution predictive mapping reveals novel benthic habitats in the southern Baltic Sea.

The Science of the total environment
Marine benthic habitats are essential for biodiversity and ecosystem functioning, yet their complexity and inaccessibility challenge effective mapping and management. This study presents the first high-resolution predictive benthic habitat maps at th...

eDNA surveys substantially expand known geographic and ecological niche boundaries of marine fishes.

PLoS biology
Assessing species geographic distributions is critical to approximate their ecological niches, understand how global change may reshape their occurrence patterns, and predict their extinction risks. Yet, species records are over-aggregated across tax...

Declining ocean greenness and phytoplankton blooms in low to mid-latitudes under a warming climate.

Science advances
Marine phytoplankton are crucial to oceanic ecosystems, yet trends in their activity, monitored through chlorophyll a, remain uncertain due to observational limitations. We generated an ocean chlorophyll a dataset (2001 to 2023) across low to mid-lat...

A hybrid deep learning framework combining transformer and logistic regression models for automatic marine mucilage detection using sentinel-1 SAR data: A case study in Armutlu-Zeytinbağı, Marmara Sea.

PloS one
The identification of various objects and species found in nature is of great importance today. Active and passive imaging systems are in a beneficial position in this direction, both in terms of cost and convenience. Recently, mucilage events in our...

The role of phytoplankton in structuring global oceanic dissolved organic carbon pools.

Nature communications
Phytoplankton-derived dissolved organic carbon (DOC) is a major pathway for atmospheric CO transfer to long-lived oceanic DOC reservoirs. Yet, current models rarely accounted for its molecular and taxonomic heterogeneity across growth seasons. Here, ...

Little-to-no industrial fishing occurs in fully and highly protected marine areas.

Science (New York, N.Y.)
There is a widespread perception that illegal fishing is common in marine protected areas (MPAs) due to strong incentives for poaching and the high cost of monitoring and enforcement. Using artificial intelligence and satellite-based Earth observatio...

Harmful Algae Forecasting through an Ocean Data Justice Lens.

Environmental science & technology
Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is increasingly networked and aggregated at national and global scales. Ocean forecasting programs in other fields have had unintended consequences and ou...

Prediction of anthropogenic I in the South China Sea based on machine learning.

Journal of environmental radioactivity
With the rapid increase in the number of nuclear power plants along the China coast and the potential for releases of radioactive substances to marine ecosystems, it is important to investigate and predict the dispersion of radionuclides in the seas ...

Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea.

Scientific reports
Phytoplankton blooms exhibit varying patterns in timing and number of peaks within ecosystems. These differences in blooming patterns are partly explained by phytoplankton:nutrient interactions and external factors such as temperature, salinity and l...