气候变化领域集成服务门户(CCPortal): Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming

CCPortal

DOI	10.1016/j.marpolbul.2020.111254
	Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming
	von Thenen M.; Maar M.; Hansen H.S.; Friedland R.; Schiele K.S.
发表日期	2020
ISSN	0025326X
卷号	156
英文摘要	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. © 2020 Elsevier Ltd
英文关键词	Ecological modelling; Eutrophication; Marine spatial planning; Shellfish farming; Spatial suitability analysis
语种	英语
scopus关键词	Aquaculture; Eutrophication; Fish; Molluscs; Site selection; Transparency; Food sources; Geo-spatial; Mitigation measures; Mussel farming; Nutrient removal; South-western baltic seas; Suitability analysis; Water transparency; Nutrients; chlorophyll; nitrogen; chlorophyll; GIS; growth rate; harvesting; nutrient; shellfish culture; site selection; spatial analysis; animal husbandry; Article; Baltic Sea; environmental parameters; farm scale model; growth rate; harvest; mussel; nonbiological model; nonhuman; nutrient; sensitivity analysis; water transparency; agriculture; animal; aquaculture; Baltic States; bivalve; eutrophication; sea; Atlantic Ocean; Baltic Sea; Agriculture; Animals; Aquaculture; Baltic States; Bivalvia; Eutrophication; Nitrogen; Oceans and Seas
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/148877
作者单位	Leibniz Institute for Baltic Sea Research Warnemünde, Seestraße 15, Rostock, 18119, Germany; Aarhus University, Frederiksborgvej 399, Roskilde, 4000, Denmark; Aalborg University, A.C. Meyers Vænge 15, Copenhagen, 2450, Denmark
推荐引用方式 GB/T 7714	von Thenen M.,Maar M.,Hansen H.S.,et al. Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming[J],2020,156.
APA	von Thenen M.,Maar M.,Hansen H.S.,Friedland R.,&Schiele K.S..(2020).Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming.Marine Pollution Bulletin,156.
MLA	von Thenen M.,et al."Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming".Marine Pollution Bulletin 156(2020).