Identifying the best fishing-suitable areas under the new European discard ban
Open accessAbstract
The spatial management of fisheries has been repeatedly proposed as a discard mitigation measure. A number of studies have assessed the fishing suitability of an area based on units of by-catch or discard per unit effort. However, correct identification of fishing-suitable areas should assess biomass loss with respect to the benefits. This study therefore, proposes the analysis of by-catch ratios, which do represent benefit vs. loss and are standardized to a wide range of effort characteristics. Furthermore, our study proposes the use of two ratios: the proportion of total unwanted biomass out of the total catch as an indicator of the overall ecological impact, and the proportion of unwanted but regulated species biomass as a proxy for the economic impact on fishers resulting from the new European discard ban that prohibits the discard of regulated species. These discard ratios are modelled by means of a Bayesian hierarchical model, specifically, a spatio-temporal beta regression model, which has several advantages over the traditional arcsine transformation. Results confirm the standardizing capacity of by-catch ratios across vessels and identify at least two economically fishing-suitable areas where discards ratios are minimized by reducing unwanted catch.
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The beta distribution is very flexible in terms of shape and fulfils the required characteristics for modeling proportions.
“The beta distribution contrasts with this and is very flexible in terms of shape and fulfils the required characteristics [22].”
From Shift in Tuna Catches Due to Ocean Warming (2017) · cites this paper as [22]
If the trend towards ocean warming continues, the prospects point to large scale redistribution in fishery catches in the near future.
“If this trend towards ocean warming continues [3], the prospects point to large scale redistribution in fishery catches in the near future [21, 22].”
From Shift in Tuna Catches Due to Ocean Warming (2017) · cites this paper as [22]
The Introduction discusses spatial maps for minimizing by-catch and discards, while the Results and Discussion address discard patterns in the study area. Searched the indexed copy for ocean warming, climate change, and redistribution of fishery catches; no passage addresses a warming-driven, large-scale redistribution of catches in the near future. The absence of a local temporal trend in discard ratios does not contradict that broader projection. (LLM, conf=0.76)
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Research works printed but not linked: 16
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Shift in Tuna Catches Due to Ocean Warming
Monllor-Hurtado, A., Pennino, M. G., & Sanchez-Lizaso, J. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178196 · Cited by 54 · see citing works
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- Authors
- Paradinas, I., Marín, M., Grazia Pennino, M., López-Quílez, A., Conesa, D., Barreda, D., Gonzalez, M., María Bellido, J., & Jardim, H. E. E.
- Affiliations
- Universitat de València (ES)
- Centro Oceanográfico de Murcia, Instituto Español de Oceanografía, C/Varadero 1, San Pedro del Pinatar, Murcia 30740, Spain
- Departament d’Estadística i Investigació Operativa, Universitat de València, C/Dr. Moliner 50, Burjassot, Valencia 46100, Spain
- Investigación, Planificación y Desarrollo, Paseo Imperial 10-12 Bj, 28005 Madrid, Spain
- Centro Oceanográfico de Málaga, Instituto Español de Oceanografía, Puerto Pesquero, 29640 Fuengirola, Spain
- Corresponding author
- Paradinas, Iosu
- Venue
- ICES Journal of Marine Science
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-07-14
- Volume
- 73
- Issue
- 10
- Pages
- 2479-2487
- ISSN
- 1054-3139 (ISSN-L)
- 1095-9289
- OpenAlex
- W2468285123
- Cited by
- 56
- References
- 0
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 6 · 2022: 1 · 2021: 8 · 2020: 12 · 2019: 9 · 2018: 6 · 2017: 8
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ICES Journal of Marine Science (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
- Keywords
- bycatch, spatial fisheries management, Bayesian hierarchical model
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