Improving the Collection, Management, and Use of Marine Fisheries Data (2000) / Chapter Skim
Currently Skimming:
Introduction
Introduction
Pages 9-19
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From page 9... ...
The fisheries of each region are managed by a separate fishery management council, as specified in Section 302 of the act. The regional councils are composed of designated state and federal fishery officials, as well as commercial fishermen, recreational fishermen, and environmental advocates nominated by state governors.
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. A fundamental goal of data collection and quantitative stock assessment processes is to estimate current and future stock abundance and the effects of fishing activities.
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· scientists treat an assessment as an accurate representation of a stock that can provide a basis for action; some fishermen appear to consider assessments as no more than an opening bid in negotiations to set total allowable catch. · fishermen are made acutely aware daily of the variability of nature and usually ascribe stock changes to such variability, rather than to constant fishing pressure.
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IMPROVING THE COLLECTION, MANAGEMENT, AND USE OF MARINE FISHERIES DATA effort from commercial vessels or from a scientific survey · Mortality rate from causes other than fishing (natural mortality) The effort required to catch a given number or weight of fish is critical to understanding how catch is related to fish population abundance.
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Several of the Magnuson13 Stevens Act's national standards concern social and economic issues, so relevant data must be collected to assess the performance of fishery management plans in relation to these standards. Social and economic data are necessary for i.
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Managers and stakeholders should be able to call on scientists and economists to help evaluate the risks and set reasonable objectives. DATA MANAGEMENT After data are collected, they must be processed to make them useful for stock assessments and fisheries management.
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(1998a) found that the quality of data and soundness of assumptions employed by stock assessment scientists are major factors influencing the performance of stock assessment models.
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Integrated analyses assume that the catch observations may have error and that the parameters of the model should be estimated by balancing good fits of the model to the catch data and to auxiliary effort or survey abundance data. Estimates of the numbers of fish in the most recent year, obtained from tuned sequential population analysis or integrated analyses combined with estimates of the recruitment, expected fishing mortality rate, natural mortality rate, and weight-at-age data, allow predictions to be made of the future catch.
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that often prove to be useful statistics for comparing the output of stock assessment models (Box 1-2~. CONTENT OF REPORT The committee summarizes its review of the 1996 and 1999 summer flounder assessments in Chapter 2 and provides additional detail about the assessments in Appendixes C and D
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