Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation

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Abstract

In the dynamic environments targeted for marine renewable energy extraction, such as tidal channels, the natural distribution of fish and behavioural impacts of marine renewable energy installations (MREIs) are poorly understood. This study builds on recent methodological developments to reveal the behaviour of fish schools using data collected by a seabed-mounted echosounder deployed in extreme tidal flows and in the wake of a MREI (composed of the foundation of a full-scale tidal stream energy turbine). The results show a significant change (p<0.001) in the vertical distribution of fish schools in the vicinity of a MREI compared to a nearby control location representative of the natural conditions. The MREI is associated with an overall increased rate of fish school observations (+74%), particularly at night (+163%) and in the MREI wake flow (+378%), related to the disruption of natural diurnal behavioural patterns in school characteristics (size, relative density, and distance from seabed). These results indicate an attraction effect of the MREI, and show that the aggregation and vertical distribution of fish in the modified flow conditions is dependent on tidal phase with evidence of avoidance of the MREI depth range during peak flow velocities. The behavioural responses observed in this study provide new information relevant to the environmental impact assessment of marine renewable energy developments and highlight priorities for further research.
Original languageEnglish
Pages (from-to)65-69
Number of pages5
JournalEnergy Reports
Volume4
Early online date20 Feb 2018
DOIs
Publication statusPublished - Nov 2018

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Fish
Environmental impact assessments
Flow velocity
Turbines
Agglomeration

Keywords

  • Tidal stream energy
  • Environmental impact
  • Fish behaviour
  • Tidal flow

Cite this

@article{27488904e2d54562aa7cbba9a8363d3b,
title = "Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation",
abstract = "In the dynamic environments targeted for marine renewable energy extraction, such as tidal channels, the natural distribution of fish and behavioural impacts of marine renewable energy installations (MREIs) are poorly understood. This study builds on recent methodological developments to reveal the behaviour of fish schools using data collected by a seabed-mounted echosounder deployed in extreme tidal flows and in the wake of a MREI (composed of the foundation of a full-scale tidal stream energy turbine). The results show a significant change (p<0.001) in the vertical distribution of fish schools in the vicinity of a MREI compared to a nearby control location representative of the natural conditions. The MREI is associated with an overall increased rate of fish school observations (+74{\%}), particularly at night (+163{\%}) and in the MREI wake flow (+378{\%}), related to the disruption of natural diurnal behavioural patterns in school characteristics (size, relative density, and distance from seabed). These results indicate an attraction effect of the MREI, and show that the aggregation and vertical distribution of fish in the modified flow conditions is dependent on tidal phase with evidence of avoidance of the MREI depth range during peak flow velocities. The behavioural responses observed in this study provide new information relevant to the environmental impact assessment of marine renewable energy developments and highlight priorities for further research.",
keywords = "Tidal stream energy, Environmental impact, Fish behaviour, Tidal flow",
author = "Shaun Fraser and Williamson, {Benjamin J} and Vladimir Nikora and Scott, {Beth E.}",
note = "This work was funded by the Environment and Food Security Ph.D. studentship from the University of Aberdeen, the Natural Environment Research Council and Department for Environment, Food, and Rural Affairs (NE/J004308/1, NE/J004200/1,NE/J004332/1), and the Marine Collaboration Research Forum . The authors would like to gratefully acknowledge the support from Eric Armstrong, Chris Hall and Ian Davies at Marine Scotland.",
year = "2018",
month = "11",
doi = "10.1016/j.egyr.2018.01.008",
language = "English",
volume = "4",
pages = "65--69",
journal = "Energy Reports",
issn = "2352-4847",
publisher = "Elsevier",

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T1 - Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation

AU - Fraser, Shaun

AU - Williamson, Benjamin J

AU - Nikora, Vladimir

AU - Scott, Beth E.

N1 - This work was funded by the Environment and Food Security Ph.D. studentship from the University of Aberdeen, the Natural Environment Research Council and Department for Environment, Food, and Rural Affairs (NE/J004308/1, NE/J004200/1,NE/J004332/1), and the Marine Collaboration Research Forum . The authors would like to gratefully acknowledge the support from Eric Armstrong, Chris Hall and Ian Davies at Marine Scotland.

PY - 2018/11

Y1 - 2018/11

N2 - In the dynamic environments targeted for marine renewable energy extraction, such as tidal channels, the natural distribution of fish and behavioural impacts of marine renewable energy installations (MREIs) are poorly understood. This study builds on recent methodological developments to reveal the behaviour of fish schools using data collected by a seabed-mounted echosounder deployed in extreme tidal flows and in the wake of a MREI (composed of the foundation of a full-scale tidal stream energy turbine). The results show a significant change (p<0.001) in the vertical distribution of fish schools in the vicinity of a MREI compared to a nearby control location representative of the natural conditions. The MREI is associated with an overall increased rate of fish school observations (+74%), particularly at night (+163%) and in the MREI wake flow (+378%), related to the disruption of natural diurnal behavioural patterns in school characteristics (size, relative density, and distance from seabed). These results indicate an attraction effect of the MREI, and show that the aggregation and vertical distribution of fish in the modified flow conditions is dependent on tidal phase with evidence of avoidance of the MREI depth range during peak flow velocities. The behavioural responses observed in this study provide new information relevant to the environmental impact assessment of marine renewable energy developments and highlight priorities for further research.

AB - In the dynamic environments targeted for marine renewable energy extraction, such as tidal channels, the natural distribution of fish and behavioural impacts of marine renewable energy installations (MREIs) are poorly understood. This study builds on recent methodological developments to reveal the behaviour of fish schools using data collected by a seabed-mounted echosounder deployed in extreme tidal flows and in the wake of a MREI (composed of the foundation of a full-scale tidal stream energy turbine). The results show a significant change (p<0.001) in the vertical distribution of fish schools in the vicinity of a MREI compared to a nearby control location representative of the natural conditions. The MREI is associated with an overall increased rate of fish school observations (+74%), particularly at night (+163%) and in the MREI wake flow (+378%), related to the disruption of natural diurnal behavioural patterns in school characteristics (size, relative density, and distance from seabed). These results indicate an attraction effect of the MREI, and show that the aggregation and vertical distribution of fish in the modified flow conditions is dependent on tidal phase with evidence of avoidance of the MREI depth range during peak flow velocities. The behavioural responses observed in this study provide new information relevant to the environmental impact assessment of marine renewable energy developments and highlight priorities for further research.

KW - Tidal stream energy

KW - Environmental impact

KW - Fish behaviour

KW - Tidal flow

U2 - 10.1016/j.egyr.2018.01.008

DO - 10.1016/j.egyr.2018.01.008

M3 - Article

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SP - 65

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JO - Energy Reports

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