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Methodology for defining homogeneous water bodies for management purposes

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European legislation requires monitoring of toxic algae in marine areas where shellfish are harvested for consumption. Monitoring assumes the existence of homogeneous water bodies, the definition of which have important implications for stakeholders and consumers. Yet, the definition of homogeneous water bodies remains unclear. Here we present a methodology to divide coastal and estuarine waters into homogeneous water bodies to monitor toxic algae. The proposed method is mainly based on water transport, and secondarily on oceanographic characteristics; salinity and sea surface height. We apply the methodology to the Limfjord in Denmark and demonstrate its usefulness in areas with a complicated coastal morphology. The oceanographic descriptors applied in the method are standard outputs from coastal hydrodynamical models. Provided that validated and high resolution model output is available for a given area, the technique is thus adaptable to other morphologically and oceanographically complicated estuarine and coastal areas where toxic algae monitoring is necessary.

OriginalsprogEngelsk
Artikelnummer113004
TidsskriftMarine Pollution Bulletin
Vol/bind173
NummerPart A
ISSN0025-326X
DOI
StatusUdgivet - dec. 2021

Bibliografisk note

Funding Information:
VSK and HHJ were funded by the “Framework Agreement on the Provision of Research-based Policy Support” between the Ministry of Food, Agriculture and Fisheries of Denmark and Aarhus University . VSK, MM and JL were funded by the European Union 's Horizon 2020 - Research and Innovation Framework Programme (FutureMARES project, Grant No. 869300 and FORCOAST project, Grant No. 870465 ). We would like to thank anonymous reviewers for helpful comments and suggestion that helped to further the manuscript.

Funding Information:
VSK and HHJ were funded by the ?Framework Agreement on the Provision of Research-based Policy Support? between the Ministry of Food, Agriculture and Fisheries of Denmark and Aarhus University. VSK, MM and JL were funded by the European Union's Horizon 2020 - Research and Innovation Framework Programme (FutureMARES project, Grant No. 869300 and FORCOAST project, Grant No. 870465). We would like to thank anonymous reviewers for helpful comments and suggestion that helped to further the manuscript.

Publisher Copyright:
© 2021 The Author(s)

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