Forecasting the Seasonal Timing of Maine's Lobster Fishery [PDF]
Frontiers in Marine Science, 2017 The fishery for American lobster is currently the highest-valued commercial fishery in the United States, worth over US$620 million in dockside value in 2015.
Katherine E Mills +2 more
exaly +5 more sources
A bio-economic evaluation of the potential for establishing a commercial fishery on two newly developed stocks: The Ionian red shrimp fishery [PDF]
Scientia Marina, 2012 It has recently been shown that two deep-water red shrimp species (Aristeus antennatus and Aristaeomorpha foliacea) have the potential to support a viable fishery in the Greek Ionian Sea (eastern Mediterranean).
Jordi Guillen +5 more
doaj +8 more sources
IEEE Access, 2022 Fishery catch forecasting is a crucial aspect of aquatic research because of its relevance to establishing effective fishery management and resource allocation systems.
Yue Zhang +2 more
exaly +3 more sources
Marine fishery resource dynamic prediction based on CNN-XGBoost fusion model [PDF]
Scientific ReportsMarine fishery resource prediction is crucial for sustainable fishery management and ecosystem conservation, yet traditional statistical methods face limitations in capturing the complex non-linear relationships and multi-scale temporal dependencies ...
Mingqi Zhang
doaj +2 more sources
Simulation and forecasting of fishery weather based on statistical machine learning
Information Processing in AgricultureAs the new generation of artificial intelligence (AI) continues to evolve, weather big data and statistical machine learning (SML) technologies complement each other and are deeply integrated to significantly improve the processing and forecasting ...
Xueqian Fu, Chunyu Zhang, Fuhao Chang
exaly +3 more sources
Exploring the Habitat Distribution of Decapterus macarellus in the South China Sea Under Varying Spatial Resolutions: A Combined Approach Using Multiple Machine Learning and the MaxEnt Model [PDF]
BiologyThe selection of environmental variables with different spatial resolutions is a critical factor affecting the accuracy of machine learning-based fishery forecasting.
Qikun Shen +4 more
doaj +2 more sources
Application of Gradient-Dependent Optimal Interpolation in Fishery Analysis of Neon Flying Squid (Ommastrephes bartramii) in the Kuroshio–Oyashio Confluence Region [PDF]
Animals, 2023 A key issue in fishery forecasting is the collection of high-precision subsurface environmental data. A data assimilation method, named gradient-dependent optimal interpolation, was used to construct the near-real-time vertical temperature and salinity ...
Chunling Zhang +3 more
doaj +2 more sources
Environmental Effects on the Ecological Carrying Capacity of Marine Ranching in the Northern South China Sea [PDF]
BiologyThe marine ecological carrying capacity (MECC) of marine ranching serves as a crucial indicator for assessing the conservation effect of fishery resources and forms a significant basis for scientific management of coastal fisheries.
Ziwen Wang +5 more
doaj +2 more sources
Forecasting models for tuna fishery with aerospatial remote sensing
International Journal of Remote Sensing, 1991 Abstract Tropical tuna movements can be observed from space. We must deduce them by models based on tuna behaviour. To find high concentrations of tunas, we have to find areas with high density of tuna forage. The knowledge of the surface thermal signature of fertilizing processes of water masses is possible using satellite infrared radiometers. We can
exaly +3 more sources
Forecasting fisheries collapse [PDF]
Proceedings of the National Academy of Sciences, 2013 When sustainably managed, wild harvests from the sea provide livelihoods and a vital source of protein for hundreds of millions of people (1, 2). If managed well, these benefits are perpetually renewable. However, numerous challenges can compromise the sustainability of this natural bounty.
Steven D, Gaines, Christopher, Costello
openaire +2 more sources