Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35406
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dc.contributor.authorFalconer, Lynneen_UK
dc.contributor.authorYtteborg, Elisabethen_UK
dc.contributor.authorGoris, Nadineen_UK
dc.contributor.authorLauvset, Siv Ken_UK
dc.contributor.authorSandø, Anne Britten_UK
dc.contributor.authorHjøllo, Solfrid Saetreen_UK
dc.date.accessioned2023-09-25T00:04:00Z-
dc.date.available2023-09-25T00:04:00Z-
dc.date.issued2023-08-17en_UK
dc.identifier.urihttp://hdl.handle.net/1893/35406-
dc.description.abstractAt present, specific guidance on how to choose, assess and interpret climate model projections for the aquaculture sector is scarce. Since many aspects of aquaculture production are influenced by the local farm-level environment, there is a need to consider how climate model projections can be used to predict potential future farming conditions locally. This study compared in-situ measurements of temperature and salinity from Norwegian salmon farms and fixed monitoring stations to simulations from a regional ocean climate model for multiple locations and depths in southern Norway. For locations considered in this study, a similar seasonal cycle in terms of phasing was visible for modelled and measured temperatures. For some depths and times of the year the modelled and measured temperatures were similar, but for others there were differences. The model tended to underestimate temperature. On occasion there were differences between average modelled and measured temperatures of several degrees and aquaculture users would need to consider the implications of using the modelled temperatures. As for salinity, the model does not include localized freshwater inputs, so the model overestimated salinity for locations close to shore and was not able to represent more brackish water conditions in shallower depths. It was not possible to draw a general conclusion as to whether the model was suitable for aquaculture purposes, as the similarities and differences between the modelled and measured values varied by variable, area, depth, and time. These findings made it clear that aquaculture users would have to implement a process to determine whether they could use climate model outputs for their specific purpose. A model vetting framework is presented that can be used to support decisions on the use of climate model projections for aquaculture purposes. The vetting framework describes four stages that can be used to establish the necessary context regarding the aquaculture requirements and model capabilities, and then check how the model is simulating the conditions of interest at farm sites. Although the focus was aquaculture, the findings are relevant for other sectors and the framework can guide use of climate models for more local-scale assessment and management in coastal locations.en_UK
dc.language.isoenen_UK
dc.publisherFrontiers Mediaen_UK
dc.relationFalconer L, Ytteborg E, Goris N, Lauvset SK, Sandø AB & Hjøllo SS (2023) Context matters when using climate model projections for aquaculture. <i>Frontiers in Marine Science</i>, 10. https://doi.org/10.3389/fmars.2023.1198451en_UK
dc.rightsCopyright © 2023 Falconer, Ytteborg, Goris, Lauvset, Sandø and Hjøllo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectaquacultureen_UK
dc.subjectclimate changeen_UK
dc.subjectcoastalen_UK
dc.subjectmaricultureen_UK
dc.subjectclimate model projectionsen_UK
dc.subjecttemperatureen_UK
dc.subjectsalinityen_UK
dc.titleContext matters when using climate model projections for aquacultureen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3389/fmars.2023.1198451en_UK
dc.citation.jtitleFrontiers in Marine Scienceen_UK
dc.citation.issn2296-7745en_UK
dc.citation.volume10en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNorwegian Research Councilen_UK
dc.contributor.funderEuropean Commission (Horizon 2020)en_UK
dc.contributor.funderMRC Medical Research Councilen_UK
dc.author.emaillynne.falconer1@stir.ac.uken_UK
dc.citation.date17/08/2023en_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationNOFIMA ASen_UK
dc.contributor.affiliationNORCE - Norwegian Research Centre ASen_UK
dc.contributor.affiliationNORCE - Norwegian Research Centre ASen_UK
dc.contributor.affiliationNorwegian Institute of Marine Researchen_UK
dc.contributor.affiliationNorwegian Institute of Marine Researchen_UK
dc.identifier.scopusid2-s2.0-85169603083en_UK
dc.identifier.wtid1929328en_UK
dc.contributor.orcid0000-0002-1899-1290en_UK
dc.date.accepted2023-08-01en_UK
dcterms.dateAccepted2023-08-01en_UK
dc.date.filedepositdate2023-08-17en_UK
dc.relation.funderprojectAddressing the ability of marine aquaculture to respond to climate change using systems thinking and precision-based frameworksen_UK
dc.relation.funderrefMR/V021613/1en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorFalconer, Lynne|0000-0002-1899-1290en_UK
local.rioxx.authorYtteborg, Elisabeth|en_UK
local.rioxx.authorGoris, Nadine|en_UK
local.rioxx.authorLauvset, Siv K|en_UK
local.rioxx.authorSandø, Anne Britt|en_UK
local.rioxx.authorHjøllo, Solfrid Saetre|en_UK
local.rioxx.projectMR/V021613/1|Medical Research Council|http://dx.doi.org/10.13039/501100000265en_UK
local.rioxx.freetoreaddate2023-09-22en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2023-09-22|en_UK
local.rioxx.filenameFalconer_etal_2023_ContextMatters.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2296-7745en_UK
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