Modelling the impact of anthropogenic noise on fish

Anthropogenic noise is recognized as a global polluter and there is growing concern about its impact on aquatic organisms. Offshore pile driving (e.g. during wind farm construction) creates high intensity impulsive noise which differs from natural noise sources, although its frequency range overlaps...

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Bibliographic Details
Main Authors: Bruintjes, R., Rossington, K., Jones, D., Benson, T., Simpson, S.
Format: Conference Object
Language:English
Published: 2015
Subjects:
Online Access:https://eprints.hrwallingford.com/1006/
https://eprints.hrwallingford.com/1006/1/HRPP698_Modelling_the_impact_of_anthropogenic_noise_on_fish.pdf
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spelling ftrwallingford:oai:eprints.hrwallingford.com:1006 2023-05-15T15:27:38+02:00 Modelling the impact of anthropogenic noise on fish Bruintjes, R. Rossington, K. Jones, D. Benson, T. Simpson, S. 2015-06-16 application/pdf https://eprints.hrwallingford.com/1006/ https://eprints.hrwallingford.com/1006/1/HRPP698_Modelling_the_impact_of_anthropogenic_noise_on_fish.pdf en eng https://eprints.hrwallingford.com/1006/1/HRPP698_Modelling_the_impact_of_anthropogenic_noise_on_fish.pdf Bruintjes, R. and Rossington, K. and Jones, D. and Benson, T. and Simpson, S. (2015) Modelling the impact of anthropogenic noise on fish. In: PRiMARE conference (Partnership of Research in Marine Renewable Energy), 16-17 June 2015, University of Exeter, UK. General Conference or Workshop Item PeerReviewed 2015 ftrwallingford 2022-02-24T13:14:38Z Anthropogenic noise is recognized as a global polluter and there is growing concern about its impact on aquatic organisms. Offshore pile driving (e.g. during wind farm construction) creates high intensity impulsive noise which differs from natural noise sources, although its frequency range overlaps with hearing ranges of many marine organisms. Several predictive models have been developed that predict the propagation of noise in aquatic environments, however models combining underwater noise propogation, hydrodynamics and likely animal behavioural responses have been lacking. HAMMER (Hydro-Acoustical Model for Mitigation of Ecological Response) is a tool that predicts underwater noise propagation while taking hydrodynamics into account and it subsequently predicts behavioural responses of animals using individual based modelling (IBM). As the quality of any predictive model is largely defined by its parameters, we decided to obtain crucial behavioural data for commercially important North Sea fish species exposed to a realistic noise source. To allow realistic behavioural responses, a field experiment using impact piling was conducted in a former dry-dock (size: 85 x 18 x 3 m). Behavioural and physiological data of Atlantic cod (Gadus morhua), plaice (Pleuronectes platessa) and black sea bream (Spondyliosoma cantharus) were obtained and incorporated into the HAMMER model. Here, we will discuss the results of the field experiment and the value of the tool for predicting animal behaviour in realistic marine environments. Conference Object atlantic cod Gadus morhua HR Wallingford Ltd.: ePrints at HR Wallingford
institution Open Polar
collection HR Wallingford Ltd.: ePrints at HR Wallingford
op_collection_id ftrwallingford
language English
topic General
spellingShingle General
Bruintjes, R.
Rossington, K.
Jones, D.
Benson, T.
Simpson, S.
Modelling the impact of anthropogenic noise on fish
topic_facet General
description Anthropogenic noise is recognized as a global polluter and there is growing concern about its impact on aquatic organisms. Offshore pile driving (e.g. during wind farm construction) creates high intensity impulsive noise which differs from natural noise sources, although its frequency range overlaps with hearing ranges of many marine organisms. Several predictive models have been developed that predict the propagation of noise in aquatic environments, however models combining underwater noise propogation, hydrodynamics and likely animal behavioural responses have been lacking. HAMMER (Hydro-Acoustical Model for Mitigation of Ecological Response) is a tool that predicts underwater noise propagation while taking hydrodynamics into account and it subsequently predicts behavioural responses of animals using individual based modelling (IBM). As the quality of any predictive model is largely defined by its parameters, we decided to obtain crucial behavioural data for commercially important North Sea fish species exposed to a realistic noise source. To allow realistic behavioural responses, a field experiment using impact piling was conducted in a former dry-dock (size: 85 x 18 x 3 m). Behavioural and physiological data of Atlantic cod (Gadus morhua), plaice (Pleuronectes platessa) and black sea bream (Spondyliosoma cantharus) were obtained and incorporated into the HAMMER model. Here, we will discuss the results of the field experiment and the value of the tool for predicting animal behaviour in realistic marine environments.
format Conference Object
author Bruintjes, R.
Rossington, K.
Jones, D.
Benson, T.
Simpson, S.
author_facet Bruintjes, R.
Rossington, K.
Jones, D.
Benson, T.
Simpson, S.
author_sort Bruintjes, R.
title Modelling the impact of anthropogenic noise on fish
title_short Modelling the impact of anthropogenic noise on fish
title_full Modelling the impact of anthropogenic noise on fish
title_fullStr Modelling the impact of anthropogenic noise on fish
title_full_unstemmed Modelling the impact of anthropogenic noise on fish
title_sort modelling the impact of anthropogenic noise on fish
publishDate 2015
url https://eprints.hrwallingford.com/1006/
https://eprints.hrwallingford.com/1006/1/HRPP698_Modelling_the_impact_of_anthropogenic_noise_on_fish.pdf
genre atlantic cod
Gadus morhua
genre_facet atlantic cod
Gadus morhua
op_relation https://eprints.hrwallingford.com/1006/1/HRPP698_Modelling_the_impact_of_anthropogenic_noise_on_fish.pdf
Bruintjes, R. and Rossington, K. and Jones, D. and Benson, T. and Simpson, S. (2015) Modelling the impact of anthropogenic noise on fish. In: PRiMARE conference (Partnership of Research in Marine Renewable Energy), 16-17 June 2015, University of Exeter, UK.
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