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dc.contributor.authorMendo, T.
dc.contributor.authorGlemarec, G.
dc.contributor.authorMendo, J.
dc.contributor.authorHjorleifsson, E.
dc.contributor.authorSmout, S.
dc.contributor.authorNorthridge, S.
dc.contributor.authorRodriguez, J.
dc.contributor.authorMujal-Colilles, A.
dc.contributor.authorJames, M.
dc.date.accessioned2023-08-29T09:30:21Z
dc.date.available2023-08-29T09:30:21Z
dc.date.issued2023-10
dc.identifier293266518
dc.identifiera294f947-dccb-4cb0-8b79-1ea4e7ed9293
dc.identifier85170292407
dc.identifier001069131300001
dc.identifier.citationMendo , T , Glemarec , G , Mendo , J , Hjorleifsson , E , Smout , S , Northridge , S , Rodriguez , J , Mujal-Colilles , A & James , M 2023 , ' Estimating fishing effort from highly resolved geospatial data : focusing on passive gears ' , Ecological Indicators , vol. 154 , 110822 . https://doi.org/10.1016/j.ecolind.2023.110822en
dc.identifier.issn1470-160X
dc.identifier.otherRIS: urn:40D0E8A0E86F0515F81DEC07F876F90F
dc.identifier.otherORCID: /0000-0002-7182-1725/work/141643309
dc.identifier.otherORCID: /0000-0002-7402-3462/work/141643559
dc.identifier.otherORCID: /0000-0003-4397-2064/work/148888364
dc.identifier.urihttps://hdl.handle.net/10023/28249
dc.descriptionTM, JM and MJ appreciate the financial support provided by the University of St. Andrews Impact and Innovation Fund 2018. TM and MJ acknowledge financial support provided by the “Conserving Atlantic Biodiversity by Supporting Innovative Small-scale Fisheries Co-management” (CABFISHMAN) Project. This project is co-financed by the Interreg Atlantic Area Programme through the European Regional Development Fund. Project N°: EAPA_134/2018”.en
dc.description.abstractIncreasing competition for marine space requires the appropriate development of indicators to best represent the use of marine areas and the value (whether economic, social and/or cultural) derived from such use. Fishers (the largest group of users) are often under-represented in marine spatial planning processes. Highly-resolved vessel tracking data provide opportunities to map the activities of fishing vessels at a level of detail never before available. Most effort mapping methods have focused on active gears such as trawls or dredges in large scale fisheries. For these fisheries, the time spent fishing at sea (hours) is usually a representative indicator of fishing effort, enabling a straightforward mapping of the most important fishing grounds. However, for passive gears generally used in small-scale fisheries, we show that spatial indicators of effort (here, length of vessel track) greatly outperform time-at-sea as an indicator of fishing effort. We further demonstrate and validate a method to estimate gear soak time from vessel tracking data and show how maps of effort that account for soak time can be different from those solely based on time spent fishing at sea. The development of adequate methods to quantify the spatial distribution of passive gear effort is particularly relevant to fisheries management because globally about a fifth of all catches (by weight) are landed by passive gears. Appropriate, fine scale effort maps will provide better tools for spatial planning to support sustainable fishing.
dc.format.extent9
dc.format.extent2596824
dc.language.isoeng
dc.relation.ispartofEcological Indicatorsen
dc.subjectVessel trackingen
dc.subjectStatic gearsen
dc.subjectElectronic reportingen
dc.subjectSpatial analysisen
dc.subjectSmall-scale fisheriesen
dc.subjectSH Aquaculture. Fisheries. Anglingen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccSHen
dc.titleEstimating fishing effort from highly resolved geospatial data : focusing on passive gearsen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Fund for Regional Developmenten
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. Coastal Resources Management Groupen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.1016/j.ecolind.2023.110822
dc.description.statusPeer revieweden
dc.identifier.grantnumberEAPA_134/2018en


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