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Data and Management Strategies for Recreational Fisheries with Annual Catch Limits (Paperback)
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Data and Management Strategies for Recreational Fisheries with Annual Catch Limits (Paperback)
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Marine recreational fishing is a popular activity enjoyed by more
than 9 million Americans annually and is a driver of the American
ocean-or blue-economy. To ensure that fish populations are not
overexploited, the NOAA Fisheries' Marine Recreational Information
Program (MRIP) monitors recreational catch through a variety of
in-person, telephone, mail-in, and other surveys. NOAA Fisheries'
management of recreational catch also must take into account annual
catch limits (ACLs) established to prevent overfishing for all
managed species in federal waters. While MRIP has worked to improve
recreational catch surveys over the past decade, the surveys were
never designed to meet the demands of in-season management of ACLs.
In some cases, estimates of harvest have triggered accountability
measures such as early season closures and reductions in future
recreational ACLs, which have been a source of contention with the
recreational fishing community. This report presents approaches for
optimizing MRIP data and complementary data for in-season
management and considers alternatives for managing recreational
fisheries with ACLs to better serve both social and economic
management objectives. Table of Contents Front Matter Summary 1
Introduction 2 The U.S. Fisheries Management and Assessment
Framework 3 Existing Recreational Fisheries Surveys and ACL-Based
Fisheries Management 4 Optimizing Use of MRIP Data and
Complementary Data for In-Season Management 5 Alternative
Management Strategies for Recreational Fisheries Appendix A:
Multiple-Frame Methods Appendix B: Leveraging Covariances and
Conditionals Appendix C: Contemporaneous Correlation SUR Model
Appendix D: Bayesian Methods Appendix E: Rare-Event Species: Normal
or Poisson? Appendix F: Rare-Event Species: Inverse Sampling
Appendix G: Rare-Event Species: Uninformative Priors and Bayes'
Rule Appendix H: Defining and Managing Outliers in MRIP Output: An
Order Statistics Approach
General
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