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dc.contributor.authorLyashevska, Olga
dc.contributor.authorHarma, Clementine
dc.contributor.authorMinto, Cóilín
dc.contributor.authorClarke, Maurice
dc.contributor.authorBrophy, Deirdre
dc.date.accessioned2020-09-18T10:02:16Z
dc.date.available2020-09-18T10:02:16Z
dc.date.copyright2020-09
dc.date.issued2020-09-01
dc.identifier.citationOlga Lyashevska, Clementine Harma, Cóilín Minto, Maurice Clarke, Deirdre Brophy, Long-term trends in herring growth primarily linked to temperature by gradient boosting regression trees, Ecological Informatics, Volume 60, 2020, 101154, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2020.101154.en_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3410
dc.description.abstractEnvironmental change and fishing activity can produce directional trends in exploited fish populations with consequences for stock productivity. For herring in the Celtic Sea, size at age has been in steady decline since the mid 1980's. In the neighbouring herring stock off the Northwest coast of Ireland, reductions in size at age are noted after 1990. Here, gradient boosting regression trees were used to investigate trends in extended time series (1959–2012) of length-at-age across both populations and to identify important variables associated with the observed declines in size. The predominant signal detected was a non-linear negative relationship between adult size and mean Sea Surface Temperature during the first growing season. Herring length was negatively correlated with the Atlantic Multidecadal Oscillation. Weaker associations with indicators of food availability and population size were also detected. Across both populations a marked decline in length was observed at the upper end of the temperature range (~14∘C in the Celtic Sea and ~13∘C in the Northwest). Declines in length and associations with temperature were more pronounced in the Celtic Sea population which may be vulnerable to increasing sea temperatures due to its position at the southern limit of the species distribution.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofEcological Informaticsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ie/*
dc.subjectHerringen_US
dc.subjectClupea harengusen_US
dc.subjectGrowthen_US
dc.subjectTime-seriesen_US
dc.subjectSupervised machine learningen_US
dc.subjectGradient boosting regression treesen_US
dc.subjectMultiple driversen_US
dc.subjectInteractionsen_US
dc.titleLong-term trends in herring growth primarily linked to temperature by gradient boosting regression treesen_US
dc.typeArticleen_US
dc.contributor.affiliationMarine and Freshwater Research Centre (MFRC), Galway-Mayo Institute of Technology (GMIT), Dublin Road, Galway, Irelanden
dc.contributor.affiliationFisheries Ecosystems Advisory Services (FEAS), The Marine Institute (MI), Rinville, Oranmore, Co. Galway, Irelanden
dc.description.peerreviewyesen_US
dc.identifier.urlhttps://doi.org/10.1016/j.ecoinf.2020.101154en_US
dc.identifier.volume60en_US
dc.rights.accessOpen Accessen_US
dc.subject.departmentMarine and Freshwater Research Centreen_US


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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland