Collection and validation of self-sampled e-logbook data in a Mediterranean demersal trawl fishery

Mion, Monica; Piras, Camilla; Fortibuoni, Tomaso; Celić, Igor; Franceschini, Gianluca; Giovanardi, Otello; Belardinelli, A.; Martinelli, Michela; Raicevich, Saša

doi:10.1016/j.rsma.2015.08.009

Cited by 18 publications

(19 citation statements)

References 36 publications

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“…For certain species, gear types, and years, the Study Fleet data were very similar to the NEFOP/ASM data. The present study demonstrates that these fishermen have the capacity to accurately self-report discards, and our results accord with previous findings that self-reported data and observer data are often in reasonable agreement (Fox and Starr 1996;Starr and Vignaux 1997;Hoare et al 2011;Roman et al 2011;Miona et al 2015).…”

Section: Discussionsupporting

confidence: 92%

“…Nonparametric tests.-The distributions of the differences in catch (lb) and discard (lb) from the two programs were leptokurtic (thicker tailed) and could not be analyzed with parametric methods that required normally distributed data. The three different components of the catch from the matched Study Fleet and NEFOP/ASM tows were compared by using a nonparametric, dependent two-group Wilcoxon's signed rank test in R statistical software (Palmer et al 2007;Roman et al 2011;Miona et al 2015).…”

Section: Methodsmentioning

confidence: 99%

“…modeling efforts, observers, and self-sampling techniques (Cotter and Pilling 2007;Johnson and van Densen 2007;Kraan et al 2013;Miona et al 2015). Independent observers onboard fishing vessels can address this uncertainty by collecting detailed, fishery-dependent data that can be used to estimate discards with varying levels of precision.…”

mentioning

confidence: 99%

“…Independent observers onboard fishing vessels can address this uncertainty by collecting detailed, fishery-dependent data that can be used to estimate discards with varying levels of precision. Observer programs can be expensive, however, often resulting in limited coverage of a given fleet (Kraan et al 2013;Miona et al 2015). Self-sampling by fishermen provides information that has the potential to cover large portions of a fishing fleet in a more economical manner than paying observers (Starr 2010).…”

mentioning

confidence: 99%

“…Self-sampling by fishermen provides information that has the potential to cover large portions of a fishing fleet in a more economical manner than paying observers (Starr 2010). There can be problems with self-reported catch data, however, including (1) a lack of time and effort to fill out data sheets onboard a vessel for which the primary goal is to catch and sell fish, (2) biases and misreporting of catch, and (3) a concern by fishermen that the data could be used against them in a management context (Fox and Starr 1996;Cotter and Pilling 2007;Hoare et al 2011;Kraan et al 2013;Miona et al 2015).…”

mentioning

confidence: 99%

See 4 more Smart Citations

Discard Estimates from Self‐Reported Catch Data: an Example from the U.S. Northeast Shelf

Bell

Gervelis

Chamberlain

et al. 2017

N American J Fish Manag

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Discarded catch can account for a significant amount of fishing mortality and can be a major source of uncertainty when calculating total removals for stock assessments and management. Observers provide estimates on the types and quantity of fish that are caught, but observer coverage of a fleet can often vary directly with funding. On the Northeast U.S. shelf, the Northeast Fisheries Observer Program (NEFOP) has collected data on catch and discards for assessment and management purposes since 1989. The Cooperative Research Study Fleet (hereafter “Study Fleet”), working with the Northeast Fisheries Science Center, collects self‐reported catch and discards from commercial vessels; however, the Study Fleet program was not developed as an observer program, and these data are not used for management. The number of vessels reporting data in the Study Fleet program is much smaller than the total number of vessels recorded through the observer program (NEFOP plus the At‐Sea Monitoring Program), and unlike the observer program, the Study Fleet program is not conducted within a statistically designed sampling program. We compared observer and Study Fleet data for six species collected with otter trawls from 2007 to 2014 to determine whether the reported kept catch and discard values and the total estimated discards from the two programs were similar. In general, the estimates of catch and discards were similar, but due to the large number of samples, significant differences were discernible. Of the 20 comparisons of total estimated discards between the two programs, 13 had similar magnitudes and trends, 4 had similar trends with different magnitudes, and 3 were not similar. Our results indicate that for the subset of species and gear tested, the fishing industry has the capacity to accurately self‐report information. With a rigorous quality control program, including appropriate audit and compliance checks to ensure confidence in the data, programs collecting self‐reported information for assessment and management may be possible in the future. Received October 14, 2016; accepted May 26, 2017Published online September 5, 2017

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Section: Discussionsupporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Discard Estimates from Self‐Reported Catch Data: an Example from the U.S. Northeast Shelf

Bell

Gervelis

Chamberlain

et al. 2017

N American J Fish Manag

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The Italian Job: Navigating the (Im)Perfect Storm of Participatory Fisheries Research in the Northern Adriatic Sea

Raicevich

Dubois

Bullo

et al. 2020

MARE Publication Series

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Assessing discards in an illegal small-scale fishery using fisher-led reporting

Mendo

Ransijn

et al. 2022

Rev Fish Biol Fisheries

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About a third of all marine fish in the world are caught in Small-Scale Fisheries (SSF). SSF are increasingly recognised as essential for food security and livelihoods for vulnerable and economically fragile communities globally. Although individual SSF vessels are usually perceived as having little impact on the ecosystem, the cumulative impact of gear type and number of vessels may be substantial. Bottom trawling is a common fishing method that can greatly influence the marine ecosystem by damaging the seafloor and generating high levels of discards. However, appropriate sampling coverage using on-board observer programmes to collect these data from SSF are rare, as they are expensive and pose logistical constraints. A mobile App was used to assess whether self-reporting by fishers could provide reliable fine-scale information on fishing effort and discards over time in an illegal shrimp trawling fishery in northern Peru. Maps depicting the spatial distribution of trawling effort and the proportion of discards from observers and fishers were compared using the Similarity in Means (SIM) Index, which ranges from 0 when spatial patterns differ completely to 1 when spatial patterns are very similar. High levels of agreement between spatio-temporal patterns of effort (SIM Index = 0.81) and discards (0.96) were found between fisher and observer maps. Moreover, far greater spatial coverage was accomplished by fishers, suggesting that self-reporting via an App represents a useful approach to collect reliable fisheries data as an initial step for effective monitoring and management of these fisheries.

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Collection and validation of self-sampled e-logbook data in a Mediterranean demersal trawl fishery

Cited by 18 publications

References 36 publications

Discard Estimates from Self‐Reported Catch Data: an Example from the U.S. Northeast Shelf

Discard Estimates from Self‐Reported Catch Data: an Example from the U.S. Northeast Shelf

The Italian Job: Navigating the (Im)Perfect Storm of Participatory Fisheries Research in the Northern Adriatic Sea

Assessing discards in an illegal small-scale fishery using fisher-led reporting

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