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Causes and methods to estimate cryptic sources of fishing mortality

dc.contributor.authorGilman, E.
dc.contributor.authorSuuronen, Petri
dc.contributor.authorHall, M.
dc.contributor.authorKennelly, S.
dc.contributor.otherYleisjohto / Yleisjohto / Yleisjohto, ryhmän yht (4100710198)-
dc.contributor.otherHawaii Pacific University, College of Natural Sciences-
dc.contributor.otherFood and Agriculture Organization of the United Nations, Fisheries and Aquaculture Department-
dc.contributor.otherInter-American Tropical Tuna Commission-
dc.contributor.otherNSW Primary Industries and Cronulla Fisheries Research Centre of Excellence-
dc.date.accessioned2018-01-02T11:15:00Z
dc.date.accessioned2025-05-28T18:32:44Z
dc.date.available2018-01-02T11:15:00Z
dc.date.issued2013
dc.description.abstractCryptic, not readily detectable, components of fishing mortality are not routinely accounted for in fisheries management because of a lack of adequate data, and for some components, a lack of accurate estimation methods. Cryptic fishing mortalities can cause adverse ecological effects, are a source of wastage, reduce the sustainability of fishery resources and, when unaccounted for, can cause errors in stock assessments and population models. Sources of cryptic fishing mortality are (1) pre-catch losses, where catch dies from the fishing operation but is not brought onboard when the gear is retrieved, (2) ghost-fishing mortality by fishing gear that was abandoned, lost or discarded, (3) post-release mortality of catch that is retrieved and then released alive but later dies as a result of stress and injury sustained from the fishing interaction, (4) collateral mortalities indirectly caused by various ecological effects of fishing and (5) losses due to synergistic effects of multiple interacting sources of stress and injury from fishing operations, or from cumulative stress and injury caused by repeated sub-lethal interactions with fishing operations. To fill a gap in international guidance on best practices, causes and methods for estimating each component of cryptic fishing mortality are described, and considerations for their effective application are identified. Research priorities to fill gaps in understanding the causes and estimating cryptic mortality are highlighted.-
dc.formatSekä painettu, että verkkojulkaisu-
dc.format.bitstreamfalse
dc.format.pagerange766-803-
dc.identifier.elss1095-8649-
dc.identifier.olddbid483249
dc.identifier.oldhandle10024/541059
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/33291
dc.language.isoeng-
dc.okm.corporatecopublicationei-
dc.okm.internationalcopublicationon-
dc.okm.openaccess0 = Ei vastausta-
dc.okm.selfarchivedei-
dc.publisherWiley-
dc.relation.doidoi:10.1111/jfb.12148-
dc.relation.ispartofseriesJournal of Fish Biology-
dc.relation.issn0022-1112-
dc.relation.numberinseries4-
dc.relation.volume83-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/541059
dc.subject.agrovocfishing-
dc.subject.keywordcollateral-
dc.subject.keywordfisheries management-
dc.subject.keywordghost fishing-
dc.subject.keywordpost-release-
dc.subject.keywordpre-catch-
dc.subject.keywordunaccounted mortality-
dc.titleCauses and methods to estimate cryptic sources of fishing mortality-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|-

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