2021
DOI: 10.18174/544588
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Industry survey turbot and brill in the North Sea : Set up and results of a fisheries-independent survey using commercial fishing vessels 2018-2020

Abstract: Wageningen Marine Research provides no printed copies of reports Wageningen Marine Research is ISO 9001:2015 certified.

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Cited by 2 publications
(6 citation statements)
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“…Many challenges to effective fisheries management relate to the constraints on government-run sampling efforts that are often seasonspecific or otherwise limited in both duration and temporal coverage (Thorson, 2019;Bleeker et al, 2021;Gonzalez et al, 2021), constrained or influenced by gear performance (i.e., selectivity, Cadrin et al, 2016;Kotwicki et al, 2017), or otherwise unable to access all viable or relevant habitats (i.e., availability, Punt et al, 2014;Baker et al, 2019a). Many of the data needs identified in our discussions reflected these recognized limitations to scientific surveys and sampling.…”
Section: Secondary Considerations and Inferencesmentioning
confidence: 99%
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“…Many challenges to effective fisheries management relate to the constraints on government-run sampling efforts that are often seasonspecific or otherwise limited in both duration and temporal coverage (Thorson, 2019;Bleeker et al, 2021;Gonzalez et al, 2021), constrained or influenced by gear performance (i.e., selectivity, Cadrin et al, 2016;Kotwicki et al, 2017), or otherwise unable to access all viable or relevant habitats (i.e., availability, Punt et al, 2014;Baker et al, 2019a). Many of the data needs identified in our discussions reflected these recognized limitations to scientific surveys and sampling.…”
Section: Secondary Considerations and Inferencesmentioning
confidence: 99%
“…These benefits have been demonstrated across multiple ecosystems and management frameworks. Direct benefits include cost-efficient data collection, enhanced temporal and spatial coverage, increased quantity and quality of the available data, and improved knowledge for fisheries management (Karp et al, 2001;Wendt and Starr, 2009;Lordan et al, 2011;Kraan et al, 2013;Stephenson et al, 2016;Mangi et al, 2018;Bleeker et al, 2021). SIRC also integrates industry knowledge in science and management (Neis et al, 1999;Kaplan and McCay, 2004) and improves the relevance of directed research, ensuring it addresses important pressing fisheries management issues (e.g., stock status, selectivity, gear technology, habitat closures; Johnson and Van Densen, 2007;Stephenson et al, 2016;Baker and Smith, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Voluntary fishing industry data, including from fish processors, may exceed that collected by government or thirdparty sampling schemes in amount and distribution (Mackinson et al, under review;Power et al, 2007;Rochette et al, 2018;Dunn, 2020;Kenyon et al, 2022). Such sampling can go beyond providing data on catches, and can contribute to surveying parts of the stock not targeted in the same way that fisheriesindependent scientific surveys do (Gerlotto et al, 2012;Schram et al, 2021). In addition to fish stock assessments, industry data have also contributed to an improved knowledge base or validation of by-catch data regarding seabirds, marine mammals and Endangered, Threatened and Protected species (Bjørkan, 2011;Fangel et al, 2015;Fry et al, 2018;Moan et al, 2020).…”
Section: Uniqueness Of Knowledgementioning
confidence: 99%
“…To overcome concerns about consistent, long-term availability of voluntary industry data, most long-term SIRC initiatives rely on an assortment of remuneration options, such as remuneration for haul specific logbook data or discard samples (Kraan et al, 2013;Jones et al, 2022); payment of net income differences with comparable vessels not involved in research (Schram et al, 2021); additional quota allocations (Kindt-Larsen et al, 2011;Van Helmond et al, 2016); or payment for ship and crew hire (Ressler et al, 2009;Gallaudet, 2021;Hoff et al, 2021). In this context, it is important to note that concerns about long-term availability of data and information are not exclusive to industry contributions.…”
Section: Uniqueness Of Knowledgementioning
confidence: 99%
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