Literature DB >> 32510396

Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming.

Miriam von Thenen1, Marie Maar2, Henning Sten Hansen3, René Friedland4, Kerstin S Schiele5.   

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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ecological modelling; Eutrophication; Marine spatial planning; Shellfish farming; Spatial suitability analysis

Year:  2020        PMID: 32510396     DOI: 10.1016/j.marpolbul.2020.111254

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  1 in total

1.  Comparing life history traits and tolerance to changing environments of two oyster species (Ostrea edulis and Crassostrea gigas) through Dynamic Energy Budget theory.

Authors:  Brecht Stechele; Marie Maar; Jeroen Wijsman; Dimitry Van der Zande; Steven Degraer; Peter Bossier; Nancy Nevejan
Journal:  Conserv Physiol       Date:  2022-07-08       Impact factor: 3.252

  1 in total

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