The advantages of an audit over a census approach to the review of video imagery in fishery monitoring

Stanley, Richard D.; McElderry, Howard; Mawani, Tameezan; Koolman, John

doi:10.1093/icesjms/fsr058

Cited by 30 publications

(19 citation statements)

References 3 publications

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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). The high accuracy was also underpinned by the comparison between video inspectors and on-board observers, where there was a good overall agreement between the discards amounts in each haul.…”

Section: Discussionmentioning

confidence: 60%

“…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: Discussionmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

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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“…Additional costs are incurred to review video footage collected by onboard cameras. These costs could be kept in check through a system of fisherman self-reporting and random auditing (Stanley et al, 2011). That is, fines for misreporting bycatch coupled with random audits would likely be sufficient to ensure effective monitoring and thus implementation of a cap-and-trade bycatch management program.…”

Section: Resultsmentioning

confidence: 99%

Cap-and-trade Bycatch Management with Costly Avoidance and Stock Uncertainty

Singh

Weninger

2015

Marine Resource Economics

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Regulations to reduce bycatch of non-marketed marine species often impose gear restrictions, reductions in harvest of the target species, and/or spatial and temporal closures of the fishing ground. These regulations can exact significant social costs in commercial fisheries. We evaluate performance of a cap-and-trade bycatch management policy. Harvest of a target fish species, costly avoidance of the bycatch species, and harvesting efficiency are examined in a stochastic production environment with and without at-sea observability of bycatch, and with and without trade in harvest quotas and bycatch caps. Our results suggest that precise implementation of a socially optimal management plan is possible only if bycatch is observable and trade in fish quotas and bycatch cap is frictionless. Conditions exist in which quota/permit trading raises bycatch relative to a no-trade environment. The results offer useful guidance for designing cap-and-trade bycatch management programs. KeywordsCap-and-trade bycatch management, costly bycatch avoidance, uncertainty BioOne (www.bioone.org) is a nonprofit, online aggregation of core research in the biological, ecological, and environmental sciences. BioOne provides a sustainable online platform for over 170 journals and books published by nonprofit societies, associations, museums, institutions, and presses.Your use of this PDF, the BioOne Web site, and all posted and associated content indicates your acceptance of BioOne's Terms of Use, available at www.bioone.org/page/terms_of_use.Usage of BioOne content is strictly limited to personal, educational, and non-commercial use. Commercial inquiries or rights and permissions requests should be directed to the individual publisher as copyright holder. Cap-and-trade Bycatch Management with Costly Avoidance and Stock UncertaintyRajesh Singh and Quinn Weninger, Iowa State University A B S T R A C TRegulations to reduce bycatch of non-marketed marine species often impose gear restrictions, reductions in harvest of the target species, and/or spatial and temporal closures of the fishing ground. These regulations can exact significant social costs in commercial fisheries. We evaluate performance of a cap-and-trade bycatch management policy. Harvest of a target fish species, costly avoidance of the bycatch species, and harvesting efficiency are examined in a stochastic production environment with and without at-sea observability of bycatch, and with and without trade in harvest quotas and bycatch caps. Our results suggest that precise implementation of a socially optimal management plan is possible only if bycatch is observable and trade in fish quotas and bycatch cap is frictionless. Conditions exist in which quota/permit trading raises bycatch relative to a no-trade environment. The results offer useful guidance for designing cap-andtrade bycatch management programs.

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“…Video-based electronic monitoring (EVM) has recently emerged as an effective alternative for observer coverage in some fisheries (Ames et al 2007;Stanley et al 2009). The cost of EVM implementation can be less than equivalent observer coverage (Stanley et al 2011). Electronic video monitoring is perhaps most cost effective when it is used as a tool to audit self-reported logbook data (Stanley et al 2011).…”

mentioning

confidence: 99%

“…The cost of EVM implementation can be less than equivalent observer coverage (Stanley et al 2011). Electronic video monitoring is perhaps most cost effective when it is used as a tool to audit self-reported logbook data (Stanley et al 2011). Satellite-based vessel monitoring systems (VMSs) (Deng et al 2005;Harrington et al 2007;Witt and Godley 2007;Lee et al 2010;Hintzen et al 2012;Jennings and Lee 2012;Russo et al 2014a) and even simple GPS data loggers (GPSDLs) (Marrs et al 2002;Gallaway et al 2003aGallaway et al , 2003b are also capable of effort accounting.…”

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confidence: 99%

Potential for a Simple GPS‐Based Binary Logit Model to Predict Fishing Effort in a Vertical Hook‐and‐Line Reef Fish Fishery

2016

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Accurate fishing effort information is fundamental to the successful management of fisheries resources. Automated, independent, and reliable methods for quantifying fishing effort are needed. The use of vessel speed from Global Positioning System (GPS) data to identify fishing activity has worked well for trawl fisheries but has been less successful in stationary fisheries. Therefore, five trips on four vessels from a vertical hook‐and‐line reef fish fishery were used to examine the efficacy of GPS (speed and time) and electronic video monitoring (EVM) sensor (drum and video) data to corroborate an observer's account of effort using binary logistic regression classification (logit) models as well as a simple speed and time filter (filter). One minute was the minimum data collection interval examined that documented 100% of fishing events. As no fishing occurred at night, opportunistically defined as the 7 h between 2200 and 0500 hours, these records were excluded from analyses. During the day, vessels spent on average 45.2% of the time fishing. Classification success of the approaches examined ranged from 82.4% to 89.5%. Models that included both GPS and EVM sensor data outperformed the filter and GPS‐only models. In general, the filter and most model results can be used as a proxy for observer effort data, at least for the trips examined here. The GPS‐based speed + time logit model was chosen as the preferred approach because of its discriminatory power compared with the filter and the existing widespread use and lower costs of GPS data collection relative to EVM systems and sensors. The speed + time logit model outlined here may have broad utility in this and similar vertical‐line fisheries, including the offshore marine recreational fishing sector. Received September 9, 2015; accepted December 15, 2015

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The advantages of an audit over a census approach to the review of video imagery in fishery monitoring

Cited by 30 publications

References 3 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

Cap-and-trade Bycatch Management with Costly Avoidance and Stock Uncertainty

Potential for a Simple GPS‐Based Binary Logit Model to Predict Fishing Effort in a Vertical Hook‐and‐Line Reef Fish Fishery

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