Discarding of cod in the Danish Fully Documented Fisheries trials

Ulrich, Clara; Olesen, Hans Jakob; Bergsson, Heiðrikur; Egekvist, Josefine; Håkansson, Kirsten Birch; Dalskov, Jørgen; Kindt-Larsen, Lotte; Storr-Paulsen, Marie

doi:10.1093/icesjms/fsv028

Cited by 28 publications

(29 citation statements)

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“…The results showed that, on an overall fleet level, there was a tendency for video inspectors to underestimate discards by 32% compared to fishers' discard estimates This supports the findings of Ulrich et al (2015) and van Helmond et al (2015), which suggest that, despite offering a promising way to supplement existing on-board observer control, the REM approach applied in this trial needs some adjustments to optimise video inspector accuracy. This is emphasised by the results obtained when removing all observations where video inspectors commented on the poor quality of the REM data, which showed an overall agreement between fishers and video inspectors on the discard estimates, thus supporting the findings of Stanley et al (2011) and Kindt-Larsen et al (2011).…”

Section: Discussionsupporting

confidence: 74%

“…Dalskov and Kindt-Larsen, 2009;Kindt-Larsen et al, 2011;Mangi et al, 2015;Marine Management Organisation, 2013;McElderry et al, 2003;Needle et al, 2015;Ulrich et al, 2015;van Helmond et al, 2015). REM is a full documentation tool that uses closed-circuit-television (CCTV) cameras, GPS and sensors to monitor the fishing operations in-situ.…”

Section: Introductionmentioning

confidence: 99%

“…Many previous studies have evaluated REM to be largely reliable and accurate (Ames et al, 2007;Kindt-Larsen et al, 2011;Needle et al, 2015;Stanley et al, 2009Stanley et al, , 2011Ulrich et al, 2015;van Helmond et al, 2015). However, most previous studies included fisheries (such as hook and line fisheries) where it was easy to identify individual fish in the catch (Ames et al, 2007;McElderry et al, 2003) or only focused on a single species in a mixed fishery, usually cod (Gadus morhua) (Kindt-Larsen et al, 2011;van Helmond et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of fully documented fisheries to estimate discards in a participatory research scheme

Mortensen¹,

Ulrich²,

Olesen³

et al. 2017

Fisheries Research

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a b s t r a c tA key challenge for fisheries science and management is the access to reliable and verifiable catch data. In science, the challenge is to collect reliable, precise and traceable data to provide sound advice. In management, the challenge is that catch documentation is necessary to enforce regulations. Currently, catch inspection at sea, self-reporting through e-log and on-board observers are the primary methods to document catches at sea. However, at-sea control and on-board observers are costly and have limited coverage, while self-reporting is susceptible to fraud and provides limited coverage. New cost-effective methods are currently emerging involving Remote Electronic Monitoring (REM) and on-board cameras. Previous studies have tested REM with promising results. However, evaluation of the potential biases of REM is needed before full benefits can be obtained. We deployed REM with on-board cameras on 14 fishing vessels and were able to inspect 56% of 1523 hauls made in the 6 month trial period, using an estimated 582 man-hours of video audit. The results showed an overall good agreement between the fishers self-reported discards and the video inspectors discard estimates. However, there was large variation in precision between individual vessels and species. Additionally, trial setup and process errors were shown to have a large effect on the precision of the video inspectors discard estimates. Nevertheless, despite challenges, REM was evaluated to have the potential to streamline monitoring and scientific documentation in a medium-size fishing fleet.

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Section: Discussionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effectiveness of fully documented fisheries to estimate discards in a participatory research scheme

Mortensen¹,

Ulrich²,

Olesen³

et al. 2017

Fisheries Research

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“…EM trials have been conducted across a variety of industrial fisheries around the world to verify compliance with catch sorting and weighing regulations, discard bans and quota and interaction requirements for protected species, and for full reporting of fishing and on‐board processing mandates (Table ). Trials have shown that EM can provide precise, verifiable, cost‐effective fishery‐dependent data and promote adherence to quota regulations for protected species (Hold et al., ; Needle et al., ; Sylvia, Harte, & Cusack, ; Ulrich et al., ; van Helmond, Chen, & Poos, ). In 2015, the Atlantic pelagic longline fishery became the first US fishery to implement a fleet‐wide EM program to verify the accuracy of bluefin tuna by‐catch (Sylvia et al., ).…”

Section: Current Applications Of Fishery‐dependent Data Technologiesmentioning

confidence: 99%

Opportunities to improve fisheries management through innovative technology and advanced data systems

et al. 2019

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Fishery‐dependent data are integral to sustainable fisheries management. A paucity of fishery data leads to uncertainty about stock status, which may compromise and threaten the economic and food security of the users dependent upon that stock and increase the chances of overfishing. Recent developments in the technology available to collect, manage and analyse fishery‐relevant data provide a suite of possible solutions to update and modernize fisheries data systems and greatly expand data collection and analysis. Yet, despite the proliferation of relevant consumer technology, integration of technologically advanced data systems into fisheries management remains the exception rather than the rule. In this study, we describe the current status, challenges and future directions of high‐tech data systems in fisheries management in order to understand what has limited their adoption. By reviewing the application of fishery‐dependent data technology in multiple fisheries sectors globally, we show that innovation is stagnating as a result of lack of trust and cooperation between fishers and managers. We propose a solution based on a transdisciplinary approach to fishery management that emphasizes the need for collaborative problem‐solving among stakeholders. In our proposed system, data feedbacks are a key component to effective fishery data systems, ensuring that fishers and managers collect, have access to and benefit from fisheries data as they work towards a mutually agreed‐upon goal. A new approach to fisheries data systems will promote innovation to increase data coverage, accuracy and resolution, while reducing costs and allowing adaptive, responsive, near real‐time management decision‐making to improve fisheries outcomes.

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“…The study period is January 1 2015 to December 31 2016. Over this period, high resolution haul data for five vessels and SIF data could be compared with electronic monitoring (EM) data (GPS) for two vessels, which both had sea-packing equipment and participated in the Danish Cod Catch Quota Management trial (Ulrich et al 2015;Bergsson et al 2017).…”

Section: Study Periodmentioning

confidence: 99%

Unravelling the scientific potential of high resolution fishery data

Plet-Hansen

Larsen

Mortensen

et al. 2018

Aquat. Living Resour.

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Fisheries science and fisheries management advice rely on both scientific and commercial data to estimate the distribution and abundance of marine species. These two data types differ, with scientific data having a broader geographical coverage but less intensity and time coverage compared to commercial data. Here we present a new type of commercial data with high resolution and coverage. To our knowledge, the dataset presented in this study has never been used for scientific purposes. While commercial datasets usually include the total weight by species on per haul basis, the new data also include the commercial size class for the species landed, recorded directly on a haul-by-haul basis. Thus, this dataset has the potential to provide knowledge on landed fish with as high spatio-temporal resolution as when coupling logbooks and sales slips but with the addition of detailed knowledge on the size distribution. Such information may otherwise be obtained through on-board observer programmes but unlike the observers’ data, the dataset presented here is routinely collected on most of the trips of the vessels involved, which means that the coverage of the data for the individual vessel is larger than observers’ data. Furthermore, the risk of changes in fishing behaviour due to the presence of an observer on-board is avoided. This paper describes the coverage and completeness of the dataset, and explores the reliability of the data available. We conclude that the main limitation is the small number of fishing vessels covered by the program, but that the data from those vessels are accurate, detailed, and relatively reliable.

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Discarding of cod in the Danish Fully Documented Fisheries trials

Cited by 28 publications

References 6 publications

Effectiveness of fully documented fisheries to estimate discards in a participatory research scheme

Effectiveness of fully documented fisheries to estimate discards in a participatory research scheme

Opportunities to improve fisheries management through innovative technology and advanced data systems

Unravelling the scientific potential of high resolution fishery data

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