<p>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.</p> <p>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.</p>
Author(s): Committee on Data and Management Strategies for Recreational Fisheries with Annual Catch Limits
Publisher: National Academies Press
Year: 2022
Language: English
Pages: 223
City: Washington, D.C.
FrontMatter
Preface
Acknowledgments
Contents
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
