fisheries management
fisheries management on World Data Ocean: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on fisheries management in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around fisheries management, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.

A decision-tree framework for the sustainable management of emerging fisheries and fishing innovations
Rapid technological advancements in fisheries frequently exceed regulatory capacity, elevating the risk of unsustainable exploitation. This study introduces a Decision-Tree Framework (DTF) to proactively address this challenge, offering precautionary and adaptive management guidance for emerging fisheries and fishing innovations. Combining automated screening with expert evaluation, the R-based DTF provides early warning signals even with limited data, as demonstrated through simulations and Mediterranean case studies. The DTF enhances transparency and operationalizes key management principles for diverse contexts.

Development and deployment of a pilot multilingual citizen- science mobile application for georeferenced marine catch observations in India
To enhance marine fishery advisory services in India, the Indian National Centre for Ocean Information Services (INCOIS) has launched ‘Fisheries Information Source Hub (FISH)’, a pilot multilingual citizen-science mobile application. This innovative approach empowers fishers to contribute georeferenced marine catch observations, generating high-frequency data crucial for species-specific fishery predictions. Initial deployment demonstrates significant success, with a 20-fold increase in data submissions.

MAELSTROM, a machine learning-based approach for stock assessment
Effective fisheries management demands a balance between resource utilization and ecological sustainability. Introducing Maelstrom, a novel, machine learning-based approach to stock assessment that addresses limitations of traditional models. This multispecies predictive model, built on neural networks, integrates fishery-dependent and -independent data to forecast stock abundance, even with shorter time series. Benchmarked against the established a4a framework, Maelstrom demonstrates comparable accuracy and highlights the value of considering ecological interactions.

Tourism and coastal fisheries interaction: impacts and mechanism on social-ecological coastal ecosystems
Coastal ecosystems face a complex interplay between tourism and fisheries, both vital for livelihoods and local development. While tourism is often proposed as a sustainable alternative to overexploited fisheries, the precise nature of this interaction remains unclear. A recent scoping review of 317 articles reveals a growing body of research examining these impacts and underlying mechanisms. Findings suggest tourism can either increase or decrease fishing pressure, depending on governance structures and livelihood shifts.

Indices of reduced fish biomass, changes in fish biodiversity and seafloor macrolitter – implications for fisheries management in Sri Lanka
A longitudinal study utilizing fisheries acoustics and bottom trawl surveys from 1978-2018 reveals significant shifts in Sri Lankan waters. Data collected by the “Dr. Fridtjof Nansen” vessel indicate a drastic reduction in total fish biomass, declining from approximately 280,000-395,000 tons to 173,000 tons over four decades. Concurrent changes in fish biodiversity, including reduced average lengths for commercially important species, alongside increased macro-litter accumulation, underscore the urgent need for validated fisheries management plans and environmental action.