Marine and fisheries research

The paper develops a stochastic model to analyze non-compliance in Chilean kelp fisheries, showing that dynamic compliance leads to system collapse despite economic incentives.

This paper uses machine learning to classify Chinook salmon by their river of origin using otolith microchemical data, achieving up to 92.5% accuracy.

This paper introduces SWARM, an AI agent-based model that improves marine larval dispersal simulations by incorporating LLM-based behavioral agents, enhancing predictive accuracy for connectivity and restoration strategies.

This study evaluates the impact of mixed-maturation fisheries on Chinook salmon productivity and resilience, finding that harvesting immature fish reduces population productivity and biomass compared to terminal fisheries.

This study models how dominant transport pathways affect krill fishing activity in the Southern Ocean, showing that advection from the Antarctic Peninsula correlates with catch variability at South Georgia.

This study evaluates the robustness of MSY reference points derived from the hockey-stick stock-recruitment model under structural uncertainty and shows that combining them with precautionary measures can achieve comparable management outcomes to true models.

The paper compares food-web structures in tuna spawning habitats of the Gulf of Mexico and Argo Basin, finding higher ecosystem efficiency in the Argo Basin due to differences in zooplankton herbivory and nutrient cycling.

The paper develops a quantitative risk assessment framework to evaluate habitat impacts from longline fishing gear, using the Sablefish fishery in British Columbia as a case study.

This study examines how evolution affects the robustness of marine food webs under fishing pressure, finding that evolution often enhances robustness but can also lead to negative outcomes under certain conditions.

This study uses spatial capture-recapture models and AIS data to analyze changes in Baltic Sea salmon trolling skippers, finding a 51% decline in numbers linked to regulatory changes.

This study shows that no-take zones in linear coastal systems improve population recovery when aligned with larval dispersal direction, but their effectiveness depends on spatial placement and dispersal patterns.

This study uses deep learning to forecast climate impacts on small-scale fisheries in the Gulf of California, showing projected declines and economic losses for certain species.

The paper shows that marine species' thermal niches have warmed more than their spatial redistribution under climate change.

The paper evaluates real-time closures (RTCs) and static closures (STCs) in the Gulf of Thailand short mackerel fishery, finding RTCs more effective in minimizing fishing mortality with greater flexibility.

This study assesses the stock status of shorthead anchovy in Tanzania's coastal waters using length-frequency data and provides management recommendations for sustainable fishing.

This study examines how eastern Baltic cod larvae use salinity and light to navigate, finding they avoid low-salinity surface waters and align their behavior with neutral buoyancy.

The paper quantifies the decline in Atlantic cod biomass in the Oslofjord over 25 years using commercial landing data, finding an over 80% reduction from 2004-2005 to 2018.

This study estimates Antarctic krill productivity using a Length-Based Spawning Potential Ratio model across different strata, revealing spatial and temporal variability and the need for adaptive management.

This study tests if northern Baltic cod are adapted to low salinity at early life stages by comparing survival and traits between northern and southern populations.

This paper develops a machine learning framework for improving provenance assignment from archival tissue chemistry by treating chemical chronologies as time series and using ensemble models.

The paper assesses the impact of proximity to offshore wind turbine foundations on demersal fish biomass and abundance, finding significant increases within 250 meters.

This study evaluates state space assessment model performance under environmentally-driven recruitment relationships, finding low bias but poor identifiability and insensitivity to environmental drivers.

This study revisits size-selective mortality in young fish, finding weak evidence that larger individuals have a survival advantage across species and conditions.

The paper uses geostatistical models to analyze spatiotemporal variability in growth rate and body condition of nine U.S. West Coast groundfish species, revealing interspecific differences influenced by niche partitioning.

This study examines growth and survival of Southern bluefin tuna larvae in the eastern Indian Ocean, finding faster growth rates and survival linked to temperature and prey changes.

The paper assesses ecological responses to marine spatial protections using 18 years of groundfish data, finding increased size and abundance near protected areas.

This study shows that fish ageing methods affect growth parameter estimates, highlighting the need for method reporting and accounting in comparative analyses.

The paper introduces a trophodynamic index to predict invertebrate population dynamics by tracking material flows in the pelagic food web, outperforming traditional models for spiny lobster populations.

The paper estimates unaccounted fish mortalities from gillnets using two models, finding dead fish losses are 4.7-5.4 times recorded landings in a Greenland halibut fishery.

This study shows that increasing spatial resolution in ecological models can reduce prediction quality for some species, highlighting the need for careful spatial complexity selection.