Results 261 to 270 of about 20,852 (294)
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Response to removing biases in forecasts of fishery status
Journal of Bioeconomics, 2013Previously in this journal, we demonstrated an empirical relationship between maximum sustainable yield (MSY) and historical maximum catch (Cmax) for fishery stocks off the Northeast U.S.—a relationship we then applied to estimate the potential catch losses from unsustainable fishing worldwide (Srinivasan et al. 2010).
U. Thara Srinivasan +3 more
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Forecasting for Recreational Fisheries Management: What's the Catch?
North American Journal of Fisheries Management, 2015Abstract The Magnuson–Stevens Fishery Conservation and Management Reauthorization Act of 2006 required regional fishery management councils to implement annual catch limits (ACLs) for nearly all stocks under U.S. federal management. Since 2011, the number of stocks requiring ACLs (and monitoring) has increased nearly 10-fold, with strict
Nicholas A. Farmer, John T. Froeschke
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Utility of Primary Productivity Map for Fishery Forecasting
Journal of the Indian Society of Remote Sensing, 2012Ocean colour and thermal data from earth orbiting satellites are being used in fishery resource applications. The location of ocean fronts and circulation features are considered as prospective fishing grounds. Ocean frontal zones, as resolved by strong gradients in the surface temperature distribution, has historically been important as indicators for
A. K. Mishra, Sanjeevan Kumar
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Developing a subseasonal ecological forecast to reduce fisheries bycatch in the Northeast U.S.
Progress in Oceanography, 2023Over the past decade, substantial progress has been made in projecting and predicting the spatial distribution of many marine species at seasonal to multidecadal time scales. However, managers and fishers often need to make decisions at much shorter time scales.
Roberts, K. E. +5 more
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Forecasting the Annual Yield in Sea Fisheries
Nature, 1960IT is well known that the annual yield of the sea fisheries varies very much from year to year. An example of such variation is shown in Fig. 1 in which the broken curve shows the number (in millions) of skrei—spawning cod (Gadus callarias)—caught in the Lofoten fishing area of northern Norway in the years 1885–1958.
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Managing and forecasting squid fisheries in variable environments
Fisheries Research, 2001Squid are short-lived ecological opportunists which generally have a lifespan of about 1 year. Their populations are labile and recruitment variability is driven, to a greater or lesser extent, by the environment. This variability provides a challenge to management because fisheries for short-lived species are best managed by effort limitation and it ...
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Forecasting for Resources in Forestry and Marine Fisheries in the Year 2000
The American Statistician, 1985Abstract Forestry and fisheries are major industries using renewable living resources. The resources have in common principles of ecology that control productivity, but there are differences in the time scales and dynamics of productivity that affect the management and economics of harvesting. These differences lead to the need for different approaches
David R. Darr, Richard C. Hennemuth
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Generic management procedures for data-poor fisheries: forecasting with few data
2022Presentation presented at the WKLIFEIV workshop, Lisbon, October 2014. 17pp, titled: "Generic management procedures for data-poor fisheries: forecasting with few data."
Geromont, Helena, Butterworth, Doug
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Seasonal forecasting for decision support in marine fisheries and aquaculture
Fisheries Oceanography, 2016AbstractThe production of marine protein from fishing and aquaculture is influenced by environmental conditions. Ocean temperature, for example, can change the growth rate of cultured animals, or the distribution of wild stocks. In turn these impacts may require changes in fishing or farming practices.
Alistair J. Hobday +3 more
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A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems
2020 International Conference on Advanced Computing and Applications (ACOMP), 2020Water quality monitoring is an important task when developing IoT systems, especially for aquaculture and fisheries. By monitoring the real-time indicators (e.g., temperature, salinity, pH, Dissolved Oxygen - DO, and Chemical Oxygen Demand - COD) and getting early warning we can manage the quality of the water, thus collecting both quality and quantity
Nguyen Thai-Nghe +2 more
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