Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea
Different ecosystem models often provide contrasting predictions (model uncertainty), which is perceived to be a major challenge impeding their use to support ecosystem-based fisheries management (EBFM). The focus of this manuscript is to examine the extent of model disagreements which could impact...
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description | Different ecosystem models often provide contrasting predictions (model uncertainty), which is perceived to be a major challenge impeding their use to support ecosystem-based fisheries management (EBFM). The focus of this manuscript is to examine the extent of model disagreements which could impact management advice for EBFM in the central Baltic Sea. We compare how much three models (EwE, Gadget and a multispecies stock production model) differ in 1) their estimates of fishing mortality rates (Fs) satisfying alternative hypothetical management scenario objectives and 2) the outcomes of those scenarios in terms of performance indicators (spawning stock biomasses, catches, profits). Uncertainty in future environmental conditions affecting fish was taken into account by considering two seal population growth scenarios and two nutrient load scenarios. Differences in the development of the stocks, yields and profits exist among the models but the general patterns are also sufficiently similar to appear promising in the context of strategic fishery advice. Thus, we suggest that disagreements among the ecosystem models will not impede their use for providing strategic advice on how to reach management objectives that go beyond the traditional maximum yield targets and for informing on the potential consequences of pursuing such objectives. This is especially true for scenarios aiming at exploiting forage fish sprat and herring, for which the agreement was the largest among our models. However, the quantitative response to altering fishing pressure differed among models. This was due to the diverse environmental covariates and the different number of trophic relationships and their functional forms considered in the models. This suggests that ecosystem models can be used to provide quantitative advice only after more targeted research is conducted to gain a deeper understanding into the relationship between trophic links and fish population dynamics in the Baltic Sea. |
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The focus of this manuscript is to examine the extent of model disagreements which could impact management advice for EBFM in the central Baltic Sea. We compare how much three models (EwE, Gadget and a multispecies stock production model) differ in 1) their estimates of fishing mortality rates (Fs) satisfying alternative hypothetical management scenario objectives and 2) the outcomes of those scenarios in terms of performance indicators (spawning stock biomasses, catches, profits). Uncertainty in future environmental conditions affecting fish was taken into account by considering two seal population growth scenarios and two nutrient load scenarios. Differences in the development of the stocks, yields and profits exist among the models but the general patterns are also sufficiently similar to appear promising in the context of strategic fishery advice. Thus, we suggest that disagreements among the ecosystem models will not impede their use for providing strategic advice on how to reach management objectives that go beyond the traditional maximum yield targets and for informing on the potential consequences of pursuing such objectives. This is especially true for scenarios aiming at exploiting forage fish sprat and herring, for which the agreement was the largest among our models. However, the quantitative response to altering fishing pressure differed among models. This was due to the diverse environmental covariates and the different number of trophic relationships and their functional forms considered in the models. This suggests that ecosystem models can be used to provide quantitative advice only after more targeted research is conducted to gain a deeper understanding into the relationship between trophic links and fish population dynamics in the Baltic Sea.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0211320</identifier><identifier>PMID: 30689653</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Baltic States ; Biology and Life Sciences ; Biomass ; Commercial fishing ; Computer simulation ; Earth sciences ; Ecology ; Ecology and Environmental Sciences ; Ecosystem management ; Ecosystem models ; Ecosystems ; Ekologi ; Environment models ; Environmental aspects ; Environmental conditions ; Environmental quality ; Eutrophication ; Fish ; Fish populations ; Fisheries ; Fisheries management ; Fishery management ; Fishes - growth & development ; Fishing ; Management ; Models, Economic ; Nutrient loading ; Objectives ; Oceans and Seas ; Pollution load ; Population biology ; Population dynamics ; Population growth ; Profits ; Spawning ; Trophic relationships ; Uncertainty</subject><ispartof>PloS one, 2019-01, Vol.14 (1), p.e0211320-e0211320</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Bauer et al. 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Thus, we suggest that disagreements among the ecosystem models will not impede their use for providing strategic advice on how to reach management objectives that go beyond the traditional maximum yield targets and for informing on the potential consequences of pursuing such objectives. This is especially true for scenarios aiming at exploiting forage fish sprat and herring, for which the agreement was the largest among our models. However, the quantitative response to altering fishing pressure differed among models. This was due to the diverse environmental covariates and the different number of trophic relationships and their functional forms considered in the models. 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uncertainty and simulated multispecies fisheries management advice in the Baltic Sea</title><author>Bauer, Barbara ; Horbowy, Jan ; Rahikainen, Mika ; Kulatska, Nataliia ; Müller-Karulis, Bärbel ; Tomczak, Maciej T ; Bartolino, Valerio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c767t-d02c50b98d69a30d4ba53a5d9a43b648bc983006946b05bc09e6b62d4af423023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Animals</topic><topic>Baltic States</topic><topic>Biology and Life Sciences</topic><topic>Biomass</topic><topic>Commercial fishing</topic><topic>Computer simulation</topic><topic>Earth sciences</topic><topic>Ecology</topic><topic>Ecology and Environmental Sciences</topic><topic>Ecosystem management</topic><topic>Ecosystem models</topic><topic>Ecosystems</topic><topic>Ekologi</topic><topic>Environment models</topic><topic>Environmental aspects</topic><topic>Environmental 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which is perceived to be a major challenge impeding their use to support ecosystem-based fisheries management (EBFM). The focus of this manuscript is to examine the extent of model disagreements which could impact management advice for EBFM in the central Baltic Sea. We compare how much three models (EwE, Gadget and a multispecies stock production model) differ in 1) their estimates of fishing mortality rates (Fs) satisfying alternative hypothetical management scenario objectives and 2) the outcomes of those scenarios in terms of performance indicators (spawning stock biomasses, catches, profits). Uncertainty in future environmental conditions affecting fish was taken into account by considering two seal population growth scenarios and two nutrient load scenarios. Differences in the development of the stocks, yields and profits exist among the models but the general patterns are also sufficiently similar to appear promising in the context of strategic fishery advice. Thus, we suggest that disagreements among the ecosystem models will not impede their use for providing strategic advice on how to reach management objectives that go beyond the traditional maximum yield targets and for informing on the potential consequences of pursuing such objectives. This is especially true for scenarios aiming at exploiting forage fish sprat and herring, for which the agreement was the largest among our models. However, the quantitative response to altering fishing pressure differed among models. This was due to the diverse environmental covariates and the different number of trophic relationships and their functional forms considered in the models. This suggests that ecosystem models can be used to provide quantitative advice only after more targeted research is conducted to gain a deeper understanding into the relationship between trophic links and fish population dynamics in the Baltic Sea.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30689653</pmid><doi>10.1371/journal.pone.0211320</doi><tpages>e0211320</tpages><orcidid>https://orcid.org/0000-0003-2688-2788</orcidid><orcidid>https://orcid.org/0000-0001-5743-6460</orcidid><orcidid>https://orcid.org/0000-0001-5956-0115</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Baltic States Biology and Life Sciences Biomass Commercial fishing Computer simulation Earth sciences Ecology Ecology and Environmental Sciences Ecosystem management Ecosystem models Ecosystems Ekologi Environment models Environmental aspects Environmental conditions Environmental quality Eutrophication Fish Fish populations Fisheries Fisheries management Fishery management Fishes - growth & development Fishing Management Models, Economic Nutrient loading Objectives Oceans and Seas Pollution load Population biology Population dynamics Population growth Profits Spawning Trophic relationships Uncertainty |
title | Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T22%3A13%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Model%20uncertainty%20and%20simulated%20multispecies%20fisheries%20management%20advice%20in%20the%20Baltic%20Sea&rft.jtitle=PloS%20one&rft.au=Bauer,%20Barbara&rft.aucorp=Sveriges%20lantbruksuniversitet&rft.date=2019-01-28&rft.volume=14&rft.issue=1&rft.spage=e0211320&rft.epage=e0211320&rft.pages=e0211320-e0211320&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0211320&rft_dat=%3Cgale_plos_%3EA571460808%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2172170584&rft_id=info:pmid/30689653&rft_galeid=A571460808&rft_doaj_id=oai_doaj_org_article_6e73a554ec214f539979c142518e77ce&rfr_iscdi=true |