Exploring Tools for Improving Management of Data-Poor Stocks
Caribbean Fishery Management Council
February 23-24, 2011 • San Juan, PR
The purpose of this workshop was to provide decision-makers in the U.S. Caribbean with an opportunity to explore the tools available for managing data-poor stocks.
Workshop Objectives
- Provide a common educational foundation for participants on the role of data in fisheries science, managing uncertainty, and complying with federal fishery management laws
- Illustrate the struggles and successes in other data-poor fisheries by highlighting both the process and outcomes
- Provide a common understanding of the current work and progress in improving data collection for U.S. Caribbean stocks
- Explore alternative approaches for data collection and management of data-poor stocks and evaluate their potential application for the U.S. Caribbean
- Encourage discussion of the current efforts and new approaches for improving the data collection and management of data-poor stocks, culminating in the identification of discrete actions the U.S. Caribbean can take in moving forward
Workshop Resources
Data collection and uncertainty
The role of data and uncertainty in fisheries management
Luiz Barbieri, Marine Fisheries Research Program, Florida Fish and Wildlife Research Institute
Managing uncertainty in fisheries: The law, data, science, and incentives
Rod Fujita, Senior Scientist, Environmental Defense Fund
U.S. Caribbean fisheries and data collection
Puerto Rico’s commercial fisheries statistics program
Daniel Matos-Caraballo, Biologist, Puerto Rico Department of Natural and Environmental Resources
Fisheries in the U.S. Virgin Islands
Jed Brown, Acting Director and Chief of Fisheries, U.S. Virgin Islands Division of Fish and Wildlife
Commercial fisheries data collection improvements in Puerto Rico and the U.S. Virgin Islands
Bob Trumble, Vice President, MRAG America
Developing a pilot cooperative fishery independent survey on St. Croix
Todd Gedamke, NOAA Fisheries Southeast Fisheries Science Center
Data-poor management approaches
Data-poor solutions for assessing and managing spawning potential ratio
Jeremy Prince, Director, Biospherics; Associate Professor, Murdoch University
Marine reserve-based management strategies for data-poor species
Jono Wilson, Doctoral Candidate, University of California Santa Barbara
The use of monitoring data from marine reserves for fishery management: The density ratio control rule
Elizabeth Babcock, Assistant Professor, Rosenstiel School of Marine & Atmospheric Science, University of Miami
Ecological risk assessment for the effects of fishing
Ross Daley, Marine and Atmospheric Research, Commonwealth Scientific and Industrial Research Organization
Managing data-poor stocks: Case studies
Harvest strategies for data-poor fisheries: Solutions from around the world
Jeremy Prince, Director, Biospherics; Associate Professor, Murdoch University
The New England scallop fishery: A success story of cooperative research and management
Todd Gedamke, NOAA Fisheries Southeast Fisheries Science Center
The California Nearshore Finfish Fishery
Rod Fujita, Senior Scientist, Environmental Defense Fund
Fisheries Leadership & Sustainability Forum
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