fisheries management
6 stories filed under fisheries management on World Data Ocean. The newest of them: “Digital insights for small-scale fisheries governance in Somalia”, “Adaptive Fisheries Management: A Decision-Tree Framework for Sustainable Innovation”, and “Empowering Indian Fishers: Citizen Science Fuels Data-Driven Marine Forecasts”. Small-scale fisheries in Somalia sustain coastal livelihoods and food security, yet fragmented information and weak governance undermine effective management. A new fishing gear can shift exploitation patterns faster than regulations can adapt, and that lag creates real risk for stock health. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every fisheries management story on World Data Ocean, newest first.
Digital insights for small-scale fisheries governance in Somalia
Small-scale fisheries in Somalia sustain coastal livelihoods and food security, yet fragmented information and weak governance undermine effective management. This structured review of 104 peer-reviewed sources finds that digitalization can improve monitoring, coordination, and decision support, but lasting gains in governance remain uneven. Connectivity, digital literacy, and institutional trust matter most. For Somalia, the review identifies an information, governance gap and proposes a coordinated, accountable digital framework. Related coverage of climate-driven fish migration and new rules for shared stocks deepens this picture.
Adaptive Fisheries Management: A Decision-Tree Framework for Sustainable Innovation
A new fishing gear can shift exploitation patterns faster than regulations can adapt, and that lag creates real risk for stock health. This study from the researchers behind the Decision-Tree Framework addresses that gap head-on. Their tool, built on landing-based screening and expert input, delivers early warnings where conventional assessments fall short. It is practical, transparent, and tested against real Mediterranean fisheries.
Empowering Indian Fishers: Citizen Science Fuels Data-Driven Marine Forecasts
A 20-fold increase in data submissions between the first two years of the FISH App's deployment signals more than just growing adoption; it marks a practical step toward species-specific fishery forecasts. INCOIS has built a tool that turns satellite-derived advisories into actionable, high-frequency catch data, and the nearly one thousand installations show fishers are ready to participate. This is citizen science applied with rigor.
Data-Driven Fisheries: Machine Learning Enhances Stock Assessments.
Fisheries management has long leaned on deterministic models that simplify marine ecosystems into single-species equations. Maelstrom challenges that convention. This neural network-based tool integrates fishery-dependent and independent data into a multispecies, age-structured framework, returning stock forecasts that account for shifting fishing effort. Benchmarking against the a4a model shows Maelstrom holds its own, even on shorter time-series. That matters.
Balancing Tourism and Fisheries: Sustaining Coastal Ecosystems and Livelihoods
For decades, the assumption has been that tourism naturally relieves fishing pressure. Our scoping review of 317 articles, narrowed to 124 for deep analysis, reveals a more complex reality. The effect is not predetermined; it hinges on who enters the tourism sector, how livelihoods shift, and whether governance aligns these interests. When tourism drives external demand for high-value seafood, pressure on fisheries can intensify. Conversely, when fishers transition to tourism or conservation areas emerge, pressure can ease.
Long-Term Data Reveals Shifting Fish Stocks and Litter in Sri Lanka
Forty years of surveys off Sri Lanka tell a clear story: fish abundance has dropped from roughly 280,000-395,000 tons in 1978-1980 to just 121,000 tons in 2018. The decline is uneven, with six fish families seeing lower catch per unit effort while ten others increased. Average lengths shrank for eight commercial species, yet grew for seven others. Plastic waste and fishing gear litter now appear routinely in bottom trawls. These empirical trends support harvest control rules and targeted environmental action plans.