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Andreas Michael Holbach

A spatial model for nutrient mitigation potential of blue mussel farms in the western Baltic Sea

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A spatial model for nutrient mitigation potential of blue mussel farms in the western Baltic Sea. / Holbach, Andreas Michael; Maar, Marie; Timmermann, Karen; Taylor, Daniel.

In: Science of the Total Environment, Vol. 736, 139624, 2020.

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Holbach, Andreas Michael ; Maar, Marie ; Timmermann, Karen ; Taylor, Daniel. / A spatial model for nutrient mitigation potential of blue mussel farms in the western Baltic Sea. In: Science of the Total Environment. 2020 ; Vol. 736.

Bibtex

@article{ba157096e582481ca213a490f67420b4,
title = "A spatial model for nutrient mitigation potential of blue mussel farms in the western Baltic Sea",
abstract = "Worldwide, coastal and marine policies are increasingly aiming for environmental protection, and eutrophication is a global challenge, particularly impairing near-coastal marine water bodies. In this context, mussel mitigation aquaculture is currently considered an effective tool to extract nutrients from such water bodies. Mussel mitigation farming using longline systems with loops of collector material is a well-developed technology and considered promising in the western Baltic Sea. Besides several spatially limited field studies, a suitable spatial model for site-specific implementation is still lacking. In this study, we present a modular spatial model, consisting of a spatial and temporal habitat factor model (Module 1), blue mussel growth model (Module 2), mussel farm model (Module 3), and an avoidance of food limitation model (Module 4). The modules integrate data from in situ monitoring, mussel growth experiments, and eco-physiological modelling for the western Baltic Sea, to estimate spatially explicit nutrient reduction potentials. The model is flexible with respect to farm setups and harvest times and considers natural variability, model uncertainty, and required hydrodynamics. Modelling results proved valid at all scales and modules, and point out key areas for efficient mussel mitigation farms in Danish, German and Swedish areas. Modelled long-term mean mitigation potentials for harvest in November reach up to 0.88 t N/ha and 0.05 t P/ha for a farm setup using 2 m depth-range of the water column and 3.0 t N/ha and 0.17 t P/ha using up to 8 m, respectively. For Danish water bodies, we demonstrate that in efficient areas, mitigation farms (18.8 ha, 90 km collector substrate in loops with 2 m depth-range) required <3.6% of the space to extract the target nitrogen loads for good ecological status. The developed approach could prove valuable for implementing environmental policies in aquatic systems, e.g. in situ nutrient mitigation, aquaculture spatial planning, and habitat suitability mapping. ",
keywords = "Coastal and marine policy, DEB-model, Geostatistical modelling, Habitat factor model, Marine mitigation measures",
author = "Holbach, {Andreas Michael} and Marie Maar and Karen Timmermann and Daniel Taylor",
year = "2020",
doi = "10.1016/j.scitotenv.2020.139624",
language = "English",
volume = "736",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - A spatial model for nutrient mitigation potential of blue mussel farms in the western Baltic Sea

AU - Holbach, Andreas Michael

AU - Maar, Marie

AU - Timmermann, Karen

AU - Taylor, Daniel

PY - 2020

Y1 - 2020

N2 - Worldwide, coastal and marine policies are increasingly aiming for environmental protection, and eutrophication is a global challenge, particularly impairing near-coastal marine water bodies. In this context, mussel mitigation aquaculture is currently considered an effective tool to extract nutrients from such water bodies. Mussel mitigation farming using longline systems with loops of collector material is a well-developed technology and considered promising in the western Baltic Sea. Besides several spatially limited field studies, a suitable spatial model for site-specific implementation is still lacking. In this study, we present a modular spatial model, consisting of a spatial and temporal habitat factor model (Module 1), blue mussel growth model (Module 2), mussel farm model (Module 3), and an avoidance of food limitation model (Module 4). The modules integrate data from in situ monitoring, mussel growth experiments, and eco-physiological modelling for the western Baltic Sea, to estimate spatially explicit nutrient reduction potentials. The model is flexible with respect to farm setups and harvest times and considers natural variability, model uncertainty, and required hydrodynamics. Modelling results proved valid at all scales and modules, and point out key areas for efficient mussel mitigation farms in Danish, German and Swedish areas. Modelled long-term mean mitigation potentials for harvest in November reach up to 0.88 t N/ha and 0.05 t P/ha for a farm setup using 2 m depth-range of the water column and 3.0 t N/ha and 0.17 t P/ha using up to 8 m, respectively. For Danish water bodies, we demonstrate that in efficient areas, mitigation farms (18.8 ha, 90 km collector substrate in loops with 2 m depth-range) required <3.6% of the space to extract the target nitrogen loads for good ecological status. The developed approach could prove valuable for implementing environmental policies in aquatic systems, e.g. in situ nutrient mitigation, aquaculture spatial planning, and habitat suitability mapping.

AB - Worldwide, coastal and marine policies are increasingly aiming for environmental protection, and eutrophication is a global challenge, particularly impairing near-coastal marine water bodies. In this context, mussel mitigation aquaculture is currently considered an effective tool to extract nutrients from such water bodies. Mussel mitigation farming using longline systems with loops of collector material is a well-developed technology and considered promising in the western Baltic Sea. Besides several spatially limited field studies, a suitable spatial model for site-specific implementation is still lacking. In this study, we present a modular spatial model, consisting of a spatial and temporal habitat factor model (Module 1), blue mussel growth model (Module 2), mussel farm model (Module 3), and an avoidance of food limitation model (Module 4). The modules integrate data from in situ monitoring, mussel growth experiments, and eco-physiological modelling for the western Baltic Sea, to estimate spatially explicit nutrient reduction potentials. The model is flexible with respect to farm setups and harvest times and considers natural variability, model uncertainty, and required hydrodynamics. Modelling results proved valid at all scales and modules, and point out key areas for efficient mussel mitigation farms in Danish, German and Swedish areas. Modelled long-term mean mitigation potentials for harvest in November reach up to 0.88 t N/ha and 0.05 t P/ha for a farm setup using 2 m depth-range of the water column and 3.0 t N/ha and 0.17 t P/ha using up to 8 m, respectively. For Danish water bodies, we demonstrate that in efficient areas, mitigation farms (18.8 ha, 90 km collector substrate in loops with 2 m depth-range) required <3.6% of the space to extract the target nitrogen loads for good ecological status. The developed approach could prove valuable for implementing environmental policies in aquatic systems, e.g. in situ nutrient mitigation, aquaculture spatial planning, and habitat suitability mapping.

KW - Coastal and marine policy

KW - DEB-model

KW - Geostatistical modelling

KW - Habitat factor model

KW - Marine mitigation measures

UR - http://www.scopus.com/inward/record.url?scp=85085468362&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2020.139624

DO - 10.1016/j.scitotenv.2020.139624

M3 - Journal article

C2 - 32479965

VL - 736

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 139624

ER -