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Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming
Mussel farming has increasingly come into focus as a potential mitigation measure for fish farms and eutrophication, in addition to being a food source. This study presents a GIS-based suitability analysis combined with a farm scale model to identify appropriate mussel farming sites. The sites are i...
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Published in: | Marine pollution bulletin 2020-07, Vol.156, p.111254-111254, Article 111254 |
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creator | von Thenen, Miriam Maar, Marie Hansen, Henning Sten Friedland, René Schiele, Kerstin S. |
description | Mussel farming has increasingly come into focus as a potential mitigation measure for fish farms and eutrophication, in addition to being a food source. This study presents a GIS-based suitability analysis combined with a farm scale model to identify appropriate mussel farming sites. The sites are investigated in terms of potential mussel harvest, nutrient removal, and effects on water transparency. The model is applied to the south-western Baltic Sea. The identified suitable area is about 5–8% of the case study extent. The model shows that elevated chlorophyll levels stimulate mussel growth and that upon mussel harvest, nutrients can be removed. A single mussel farm cannot compensate for all nutrients emitted by a fish farm, but it can increase water transparency up to at least 200 m from the farm. Potential nutrient removal and water transparency increases are essential criteria for site selection in eutrophic seas, such as the Baltic Sea.
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•Mussel farming may be an internal measurement to mitigate eutrophication•To identify suitable sites, a combined GIS analysis and farm scale model is applied•The GIS analysis identifies spatial constraints in the south-western Baltic Sea•The farm scale model estimates nutrient removal and impact on water transparency•These parameters should be part of mussel farm site selection in eutrophic areas |
doi_str_mv | 10.1016/j.marpolbul.2020.111254 |
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[Display omitted]
•Mussel farming may be an internal measurement to mitigate eutrophication•To identify suitable sites, a combined GIS analysis and farm scale model is applied•The GIS analysis identifies spatial constraints in the south-western Baltic Sea•The farm scale model estimates nutrient removal and impact on water transparency•These parameters should be part of mussel farm site selection in eutrophic areas</description><identifier>ISSN: 0025-326X</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2020.111254</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aquaculture ; Chlorophyll ; Chlorophylls ; Ecological modelling ; Eutrophic environments ; Eutrophic waters ; Eutrophication ; Farms ; Fish ; Fish culture ; Fish farms ; Food sources ; Geographical information systems ; Harvesting ; Marine spatial planning ; Mineral nutrients ; Mitigation ; Mollusks ; Nutrient removal ; Nutrients ; Removal ; Scale models ; Shellfish farming ; Site selection ; Spatial suitability analysis ; Transparency ; Transparency (optical) ; Water transparency ; Water treatment</subject><ispartof>Marine pollution bulletin, 2020-07, Vol.156, p.111254-111254, Article 111254</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jul 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-64e7e6196093af522f4304f193d0c6291794c3ac2ef4be7928553edc8160de853</citedby><cites>FETCH-LOGICAL-c376t-64e7e6196093af522f4304f193d0c6291794c3ac2ef4be7928553edc8160de853</cites><orcidid>0000-0001-8594-2993 ; 0000-0002-4910-2564</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>von Thenen, Miriam</creatorcontrib><creatorcontrib>Maar, Marie</creatorcontrib><creatorcontrib>Hansen, Henning Sten</creatorcontrib><creatorcontrib>Friedland, René</creatorcontrib><creatorcontrib>Schiele, Kerstin S.</creatorcontrib><title>Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming</title><title>Marine pollution bulletin</title><description>Mussel farming has increasingly come into focus as a potential mitigation measure for fish farms and eutrophication, in addition to being a food source. This study presents a GIS-based suitability analysis combined with a farm scale model to identify appropriate mussel farming sites. The sites are investigated in terms of potential mussel harvest, nutrient removal, and effects on water transparency. The model is applied to the south-western Baltic Sea. The identified suitable area is about 5–8% of the case study extent. The model shows that elevated chlorophyll levels stimulate mussel growth and that upon mussel harvest, nutrients can be removed. A single mussel farm cannot compensate for all nutrients emitted by a fish farm, but it can increase water transparency up to at least 200 m from the farm. Potential nutrient removal and water transparency increases are essential criteria for site selection in eutrophic seas, such as the Baltic Sea.
[Display omitted]
•Mussel farming may be an internal measurement to mitigate eutrophication•To identify suitable sites, a combined GIS analysis and farm scale model is applied•The GIS analysis identifies spatial constraints in the south-western Baltic Sea•The farm scale model estimates nutrient removal and impact on water transparency•These parameters should be part of mussel farm site selection in eutrophic areas</description><subject>Aquaculture</subject><subject>Chlorophyll</subject><subject>Chlorophylls</subject><subject>Ecological modelling</subject><subject>Eutrophic environments</subject><subject>Eutrophic waters</subject><subject>Eutrophication</subject><subject>Farms</subject><subject>Fish</subject><subject>Fish culture</subject><subject>Fish farms</subject><subject>Food sources</subject><subject>Geographical information systems</subject><subject>Harvesting</subject><subject>Marine spatial planning</subject><subject>Mineral nutrients</subject><subject>Mitigation</subject><subject>Mollusks</subject><subject>Nutrient removal</subject><subject>Nutrients</subject><subject>Removal</subject><subject>Scale models</subject><subject>Shellfish farming</subject><subject>Site selection</subject><subject>Spatial suitability analysis</subject><subject>Transparency</subject><subject>Transparency (optical)</subject><subject>Water transparency</subject><subject>Water treatment</subject><issn>0025-326X</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUhoMoWC_PYMCNm6m5zCSdZSneoOBGwV1Ik5OSkpmMyYzQtzel4sKNq8DJ9_-c8yF0Q8mcEirud_NOpyGGzRTmjLAypZQ19Qma0YVsK84FP0UzQlhTcSY-ztFFzjtCiGSSzhAshyHsfb_FGpvYbXwPFm8h5kGPXgese4udTh3ORgfAXbQQ8Bixt9CP3u1xnvyoN-UrRFMisc_YxYS7KedCHqKl_AqdOR0yXP-8l-j98eFt9VytX59eVst1ZbgUYyVqkCBoK0jLtWsYczUntaMtt8QI1lLZ1oZrw8DVG5AtWzQNB2sWVBALi4Zfortj75Di5wR5VJ3PBkLQPcQpK1ZTIimTDS_o7R90F6fUl-0KVTNBG04PhfJImRRzTuDUkHzxvVeUqIN-tVO_-tVBvzrqL8nlMQnl3i8PSWXjoTdgfQIzKhv9vx3fsauSXQ</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>von Thenen, Miriam</creator><creator>Maar, Marie</creator><creator>Hansen, Henning Sten</creator><creator>Friedland, René</creator><creator>Schiele, Kerstin S.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7T7</scope><scope>7TN</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8594-2993</orcidid><orcidid>https://orcid.org/0000-0002-4910-2564</orcidid></search><sort><creationdate>202007</creationdate><title>Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming</title><author>von Thenen, Miriam ; Maar, Marie ; Hansen, Henning Sten ; Friedland, René ; Schiele, Kerstin S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-64e7e6196093af522f4304f193d0c6291794c3ac2ef4be7928553edc8160de853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquaculture</topic><topic>Chlorophyll</topic><topic>Chlorophylls</topic><topic>Ecological modelling</topic><topic>Eutrophic environments</topic><topic>Eutrophic waters</topic><topic>Eutrophication</topic><topic>Farms</topic><topic>Fish</topic><topic>Fish culture</topic><topic>Fish farms</topic><topic>Food sources</topic><topic>Geographical information systems</topic><topic>Harvesting</topic><topic>Marine spatial planning</topic><topic>Mineral nutrients</topic><topic>Mitigation</topic><topic>Mollusks</topic><topic>Nutrient removal</topic><topic>Nutrients</topic><topic>Removal</topic><topic>Scale models</topic><topic>Shellfish farming</topic><topic>Site selection</topic><topic>Spatial suitability analysis</topic><topic>Transparency</topic><topic>Transparency (optical)</topic><topic>Water transparency</topic><topic>Water treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>von Thenen, Miriam</creatorcontrib><creatorcontrib>Maar, Marie</creatorcontrib><creatorcontrib>Hansen, Henning Sten</creatorcontrib><creatorcontrib>Friedland, René</creatorcontrib><creatorcontrib>Schiele, Kerstin S.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>von Thenen, Miriam</au><au>Maar, Marie</au><au>Hansen, Henning Sten</au><au>Friedland, René</au><au>Schiele, Kerstin S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming</atitle><jtitle>Marine pollution bulletin</jtitle><date>2020-07</date><risdate>2020</risdate><volume>156</volume><spage>111254</spage><epage>111254</epage><pages>111254-111254</pages><artnum>111254</artnum><issn>0025-326X</issn><eissn>1879-3363</eissn><abstract>Mussel farming has increasingly come into focus as a potential mitigation measure for fish farms and eutrophication, in addition to being a food source. This study presents a GIS-based suitability analysis combined with a farm scale model to identify appropriate mussel farming sites. The sites are investigated in terms of potential mussel harvest, nutrient removal, and effects on water transparency. The model is applied to the south-western Baltic Sea. The identified suitable area is about 5–8% of the case study extent. The model shows that elevated chlorophyll levels stimulate mussel growth and that upon mussel harvest, nutrients can be removed. A single mussel farm cannot compensate for all nutrients emitted by a fish farm, but it can increase water transparency up to at least 200 m from the farm. Potential nutrient removal and water transparency increases are essential criteria for site selection in eutrophic seas, such as the Baltic Sea.
[Display omitted]
•Mussel farming may be an internal measurement to mitigate eutrophication•To identify suitable sites, a combined GIS analysis and farm scale model is applied•The GIS analysis identifies spatial constraints in the south-western Baltic Sea•The farm scale model estimates nutrient removal and impact on water transparency•These parameters should be part of mussel farm site selection in eutrophic areas</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.marpolbul.2020.111254</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8594-2993</orcidid><orcidid>https://orcid.org/0000-0002-4910-2564</orcidid></addata></record> |
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subjects | Aquaculture Chlorophyll Chlorophylls Ecological modelling Eutrophic environments Eutrophic waters Eutrophication Farms Fish Fish culture Fish farms Food sources Geographical information systems Harvesting Marine spatial planning Mineral nutrients Mitigation Mollusks Nutrient removal Nutrients Removal Scale models Shellfish farming Site selection Spatial suitability analysis Transparency Transparency (optical) Water transparency Water treatment |
title | Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming |
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