Benefits and organization of cooperative research for fisheries management
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Johnson, T. R., and van Densen, W. L. T. 2007. The benefits and organization of cooperative research for fisheries management. – ICES Journal of Marine Science, 64: 834–840. Drawing on research in the northeastern USA and northwestern Europe, a description is given of how cooperative research is organized and a statement made of how involving fishers in research can contribute to better fisheries management. The focus is on improving stock assessments through the collection of better fishery-dependent and -independent data and through efforts to address bycatch through gear-selectivity studies. Direct benefits of cooperative research include increased quantity and quality of data, inclusion of fishers' knowledge in science and management, improved relevance of research to fisheries management, and reduced costs of science. Indirect benefits are the buy-in of science and management by industry and improved relationships and trust between fishers and scientists (and managers). These indirect benefits are best achieved under conditions of transparency and communication. In some cases, cooperative research also provides income to the industry and supports the maintenance of fishing infrastructure. Most important, cooperative research improves capacity-building and establishes intellectual property rights within the fishing industry, and it encourages innovative approaches to management, such as adaptive and ecosystem-based approaches. Finally, guidelines for making cooperative research more effective are outlined.
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Some sampling gear may become obsolete as issues with capture efficiencies are discovered and improvements are made.
“However, some gear may become obsolete as issues with capture efficiencies are discovered and improvements are made (Johnson and van Densen 2007).”
From A comparison of sampling methods for larvae of medium and large epipelagic fish species during spring SEAMAP ichthyoplankton surveys in the Gulf of Mexico (2014) · cites this paper as Johnson and van Densen 2007
The Industry-based surveys section says standardized sampling gear may be outdated compared with gear used by commercial vessels. It does not say this happens because capture-efficiency problems are discovered or improvements are made. (LLM, conf=0.84)
Experimental — accuracy not yet measured
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- Authors
- Johnson, T. R., & van Densen, W. L. T.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Institute for Marine Resources and Ecosystem Studies, PO Box 68, 1970 AB IJmuiden, The Netherlands
- Corresponding author
- Johnson, Teresa R.
- ORCID
- Johnson, Teresa R.
- Venue
- ICES Journal of Marine Science
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-03-13
- Volume
- 64
- Issue
- 4
- Pages
- 834-840
- ISSN
- 1054-3139 (ISSN-L)
- 1095-9289
- OpenAlex
- W2103342231
- Cited by
- 163
- References
- 26
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 10 · 2023: 9 · 2022: 10 · 2021: 9 · 2020: 16 · 2019: 7 · 2018: 10 · 2017: 8 · 2016: 7 · 2015: 6 · 2014: 11 · 2013: 9 · 2012: 7
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ICES Journal of Marine Science (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Science Foundation (0322570, 0349907)
- University of Cambridge
- Division of Environmental Biology
- National Marine Fisheries Service
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
- Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
- Keywords
- research collaboration, fisheries management, stock assessment, fishery-dependent data, fishery-independent data, bycatch, gear selectivity, fisher knowledge, capacity building, intellectual property, adaptive management, ecosystem-based management, research cost reduction, research guidelines
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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