File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.ecolmodel.2017.10.007
- Scopus: eid_2-s2.0-85032175914
- WOS: WOS:000423007400001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: A Bayesian model of fisheries discards with flexible structure and priors defined by experts
Title | A Bayesian model of fisheries discards with flexible structure and priors defined by experts |
---|---|
Authors | |
Keywords | Local ecological knowledge Mediterranean sea Spatial modelling Trawl fishery Unwanted catches |
Issue Date | 2017 |
Citation | Ecological Modelling, 2017, v. 366, p. 1-14 How to Cite? |
Abstract | Minimizing the probability of discards is an important step in mitigating environmental impacts of fishing activities and maximizing economic gains from fish stocks. Although several discard models have been recently developed, current approaches are still unable to robustly adjust to different circumstances (e.g. fishery target species, geographical location), and lack a closer interaction with stakeholders. Here, we present a novel approach consisting of a modular Bayesian model, which can incorporate any relevant explanatory variable, independently of data availability. The relationships between the variables and discard rates are initially delineated by stakeholders through surveys, and included to the model as priors. The priors are then used together with observed data for estimating posterior distributions of discard probability. We test this approach in two study areas at the Mediterranean Sea: the Ligurian and Tyrrhenian Seas in Italy, and the Greek part of the Aegean Sea. For each site, we evaluated the model for estimating discards from bottom trawl fishery associated with European minimum conservation reference size regulations, as well as discards caused by the low economic value of catches. |
Persistent Identifier | http://hdl.handle.net/10722/309267 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.824 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maeda, Eduardo Eiji | - |
dc.contributor.author | Mäntyniemi, Samu | - |
dc.contributor.author | Despoti, Smaragda | - |
dc.contributor.author | Musumeci, Claudia | - |
dc.contributor.author | Vassilopoulou, Vassiliki | - |
dc.contributor.author | Stergiou, Konstantinos I. | - |
dc.contributor.author | Giannoulaki, Marianna | - |
dc.contributor.author | Ligas, Alessandro | - |
dc.contributor.author | Kuikka, Sakari | - |
dc.date.accessioned | 2021-12-15T03:59:52Z | - |
dc.date.available | 2021-12-15T03:59:52Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Ecological Modelling, 2017, v. 366, p. 1-14 | - |
dc.identifier.issn | 0304-3800 | - |
dc.identifier.uri | http://hdl.handle.net/10722/309267 | - |
dc.description.abstract | Minimizing the probability of discards is an important step in mitigating environmental impacts of fishing activities and maximizing economic gains from fish stocks. Although several discard models have been recently developed, current approaches are still unable to robustly adjust to different circumstances (e.g. fishery target species, geographical location), and lack a closer interaction with stakeholders. Here, we present a novel approach consisting of a modular Bayesian model, which can incorporate any relevant explanatory variable, independently of data availability. The relationships between the variables and discard rates are initially delineated by stakeholders through surveys, and included to the model as priors. The priors are then used together with observed data for estimating posterior distributions of discard probability. We test this approach in two study areas at the Mediterranean Sea: the Ligurian and Tyrrhenian Seas in Italy, and the Greek part of the Aegean Sea. For each site, we evaluated the model for estimating discards from bottom trawl fishery associated with European minimum conservation reference size regulations, as well as discards caused by the low economic value of catches. | - |
dc.language | eng | - |
dc.relation.ispartof | Ecological Modelling | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Local ecological knowledge | - |
dc.subject | Mediterranean sea | - |
dc.subject | Spatial modelling | - |
dc.subject | Trawl fishery | - |
dc.subject | Unwanted catches | - |
dc.title | A Bayesian model of fisheries discards with flexible structure and priors defined by experts | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.ecolmodel.2017.10.007 | - |
dc.identifier.scopus | eid_2-s2.0-85032175914 | - |
dc.identifier.volume | 366 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 14 | - |
dc.identifier.isi | WOS:000423007400001 | - |