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Increasing the cost-effectiveness of nutrient reduction targets using different spatial scales

dc.contributor.authorCzajkowski, Mikolaj
dc.contributor.authorAndersen, Hans E
dc.contributor.authorBlicher-Mathiesen, Gitte
dc.contributor.authorBudzinski, Wiktor
dc.contributor.authorElofsson, Katarina
dc.contributor.authorHagemejer, Jan
dc.contributor.authorHasler, Berit
dc.contributor.authorHumborg, Christoph
dc.contributor.authorSmart, James C. R
dc.contributor.authorSmedberg, Erik
dc.contributor.authorThodsen, Hans
dc.contributor.authorWas, Adam
dc.contributor.authorWilamowski, Maciej
dc.contributor.authorZylicz, Tomasz
dc.contributor.authorHanley, Nick
dc.date.accessioned2025-04-03T11:11:11Z
dc.date.available2025-04-03T11:11:11Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/20.500.14178/3050
dc.description.abstractIn this paper, we investigate the potential gains in cost-effectiveness from changing the spatial scale at which nutrient reduction targets are set for the Baltic Sea, with particular focus on nutrient loadings from agriculture. The costs of achieving loading reductions are compared across five levels of spatial scale, namely the entire Baltic Sea; the marine basin level; the country level; the watershed level; and the grid square level. A novel highly-dis aggregated model, which represents decreases in agricultural profits, changes in root zone N concentrations and transport to the Baltic Sea is used. The model includes 14 Baltic Sea marine basins, 14 countries, 117 watersheds and 19,023 10-by-1 0 km grid squares. The main result which emerges is that there is a large variation in the total cost of the program depending on the spatial scale of targeting: for example, for a 40% reduction in loads, the costs of a Baltic Sea-wide target is nearly three times lower than targets set at the smallest level of spatial scale (grid square). These results have important implications for both domestic and international policy design for achieving water quality improvements where non-point pollution is a key stressor of water quality. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).en
dc.language.isoen
dc.relation.urlhttps://doi.org/10.1016/j.scitotenv.2021.147824
dc.rightsCreative Commons Uveďte původ 4.0 Internationalcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.titleIncreasing the cost-effectiveness of nutrient reduction targets using different spatial scalesen
dcterms.accessRightsopenAccess
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/legalcode
dc.date.updated2025-04-03T11:11:11Z
dc.subject.keywordCost-effectivenessen
dc.subject.keywordNutrient pollutionen
dc.subject.keywordAgricultural run-offen
dc.subject.keywordBaltic Seaen
dc.subject.keywordEutrophicationen
dc.identifier.eissn1879-1026
dc.relation.fundingReferenceinfo:eu-repo/grantAgreement/GA0/GX/GX19-26812X
dc.relation.fundingReferenceinfo:eu-repo/grantAgreement/GA0/GX/GX19-26812X
dc.date.embargoStartDate2025-04-03
dc.type.obd73
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1016/j.scitotenv.2021.147824
dc.identifier.utWos000685285400003
dc.identifier.eidScopus2-s2.0-85108284578
dc.identifier.obd598570
dc.identifier.rivRIV/00216208:11690/21:10430913
dc.subject.rivPrimary10000::10500::10511
dcterms.isPartOf.nameScience of the Total Environment
dcterms.isPartOf.issn0048-9697
dcterms.isPartOf.journalYear2021
dcterms.isPartOf.journalVolume790
dcterms.isPartOf.journalIssue10 October 2021
uk.faculty.primaryId131
uk.faculty.primaryNameCentrum pro otázky životního prostředícs
uk.faculty.primaryNameEnvironment Centreen
uk.department.primaryId131
uk.department.primaryNameCentrum pro otázky životního prostředícs
uk.department.primaryNameEnvironment Centreen
dc.description.pageRangenestránkováno
dc.type.obdHierarchyCsČLÁNEK V ČASOPISU::článek v časopisu::původní článekcs
dc.type.obdHierarchyEnJOURNAL ARTICLE::journal article::original articleen
dc.type.obdHierarchyCode73::152::206en
uk.displayTitleIncreasing the cost-effectiveness of nutrient reduction targets using different spatial scalesen


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