Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design
As the world population grows, fisheries practitioners will be under increased pressure to address global challenges in data-limited fisheries management. With a focus on addressing localized and case-specific management needs, we provide a practical guide to the design and development of multi-indi...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-12-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2021.757877/full |
| _version_ | 1818718795862114304 |
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| author | William J. Harford Ricardo Amoroso Richard J. Bell Matias Caillaux Jason Marc Cope Dawn Dougherty Natalie Anne Dowling Frank Hurd Serena Lomonico Josh Nowlis Dan Ovando Ana M. Parma Jeremy D. Prince Jeremy D. Prince Jono R. Wilson Jono R. Wilson |
| author_facet | William J. Harford Ricardo Amoroso Richard J. Bell Matias Caillaux Jason Marc Cope Dawn Dougherty Natalie Anne Dowling Frank Hurd Serena Lomonico Josh Nowlis Dan Ovando Ana M. Parma Jeremy D. Prince Jeremy D. Prince Jono R. Wilson Jono R. Wilson |
| author_sort | William J. Harford |
| collection | DOAJ |
| description | As the world population grows, fisheries practitioners will be under increased pressure to address global challenges in data-limited fisheries management. With a focus on addressing localized and case-specific management needs, we provide a practical guide to the design and development of multi-indicator frameworks for fishery management. In a data-limited context, indicators are observations or estimates of the state of the fishery resource that are typically proxies for variables of interest, rather than quantities such as stock biomass estimated from data-rich stock assessments. Indicator frameworks structure the integration and interpretation of indicators to guide tactical fishery decision-making, often when the application of more formal analytical assessments is not feasible, yet where indicators in combination provide insight into stock status. With a focus on multi-indicator frameworks, we describe a pragmatic approach for their development via a set of organizational steps, considering a wide spectrum of types and severity of information limitations. We highlight where multi-indicator frameworks can be insightful and informative in relation to single indicator approaches but also point to potential pitfalls, with emphasis on critical evaluation and detection of performance flaws during the design phase using methods such as management strategy evaluation. |
| first_indexed | 2024-12-17T19:56:44Z |
| format | Article |
| id | doaj.art-b8c3af4ef3704b95b6b9b7f782a95884 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-12-17T19:56:44Z |
| publishDate | 2021-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-b8c3af4ef3704b95b6b9b7f782a958842022-12-21T21:34:35ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-12-01810.3389/fmars.2021.757877757877Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and DesignWilliam J. Harford0Ricardo Amoroso1Richard J. Bell2Matias Caillaux3Jason Marc Cope4Dawn Dougherty5Natalie Anne Dowling6Frank Hurd7Serena Lomonico8Josh Nowlis9Dan Ovando10Ana M. Parma11Jeremy D. Prince12Jeremy D. Prince13Jono R. Wilson14Jono R. Wilson15Nature Analytics, Mississauga, ON, CanadaSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, United StatesThe Nature Conservancy, URI Bay Campus, Narragansett, RI, United StatesThe Nature Conservancy, Arlington, VA, United StatesNorthwest Fisheries Science Center, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Seattle, WA, United StatesThe Nature Conservancy, Corvallis, OR, United StatesCSIRO Oceans and Atmosphere, Hobart, TAS, AustraliaThe Nature Conservancy, Sacramento, CA, United StatesThe Nature Conservancy, Sacramento, CA, United StatesNorthwest Fisheries Science Center, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Seattle, WA, United StatesSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, United StatesCentro Para el Estudio de Sistemas Marinos, Consejo Nacional de Investigaciones Científicas y Técnicas, Puerto Madryn, Argentina0Biospherics Pty., Ltd., South Fremantle, WA, Australia1Environmental and Conservation Science, Murdoch University, Perth, WA, AustraliaThe Nature Conservancy, Sacramento, CA, United States2Bren School of Environmental Science and Management, University of California, Santa Barbara, Santa Barbara, CA, United StatesAs the world population grows, fisheries practitioners will be under increased pressure to address global challenges in data-limited fisheries management. With a focus on addressing localized and case-specific management needs, we provide a practical guide to the design and development of multi-indicator frameworks for fishery management. In a data-limited context, indicators are observations or estimates of the state of the fishery resource that are typically proxies for variables of interest, rather than quantities such as stock biomass estimated from data-rich stock assessments. Indicator frameworks structure the integration and interpretation of indicators to guide tactical fishery decision-making, often when the application of more formal analytical assessments is not feasible, yet where indicators in combination provide insight into stock status. With a focus on multi-indicator frameworks, we describe a pragmatic approach for their development via a set of organizational steps, considering a wide spectrum of types and severity of information limitations. We highlight where multi-indicator frameworks can be insightful and informative in relation to single indicator approaches but also point to potential pitfalls, with emphasis on critical evaluation and detection of performance flaws during the design phase using methods such as management strategy evaluation.https://www.frontiersin.org/articles/10.3389/fmars.2021.757877/fullfishery managementindicatormanagement strategyframeworkstock assessment |
| spellingShingle | William J. Harford Ricardo Amoroso Richard J. Bell Matias Caillaux Jason Marc Cope Dawn Dougherty Natalie Anne Dowling Frank Hurd Serena Lomonico Josh Nowlis Dan Ovando Ana M. Parma Jeremy D. Prince Jeremy D. Prince Jono R. Wilson Jono R. Wilson Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design Frontiers in Marine Science fishery management indicator management strategy framework stock assessment |
| title | Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design |
| title_full | Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design |
| title_fullStr | Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design |
| title_full_unstemmed | Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design |
| title_short | Multi-Indicator Harvest Strategies for Data-Limited Fisheries: A Practitioner Guide to Learning and Design |
| title_sort | multi indicator harvest strategies for data limited fisheries a practitioner guide to learning and design |
| topic | fishery management indicator management strategy framework stock assessment |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2021.757877/full |
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