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

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...
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Autor*in:	Fraser, Shaun [verfasserIn] Williamson, Benjamin J. [verfasserIn] Nikora, Vladimir [verfasserIn] Scott, Beth E. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Übergeordnetes Werk:	Enthalten in: Energy reports - Amsterdam [u.a.] : Elsevier, 2015, 4(2018) vom: Nov., Seite 65-69
Übergeordnetes Werk:	volume:4 ; year:2018 ; month:11 ; pages:65-69

Links:	Volltext Volltext Volltext Terms of use

DOI / URN:	10.1016/j.egyr.2018.01.008

Katalog-ID:	1025198298

Internformat


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allfields	10.1016/j.egyr.2018.01.008 doi 10419/187906 hdl (DE-627)1025198298 (DE-599)GBV1025198298 DE-627 ger DE-627 rda eng Fraser, Shaun verfasserin aut Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Williamson, Benjamin J. verfasserin aut Nikora, Vladimir verfasserin aut Scott, Beth E. verfasserin aut Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 4(2018) vom: Nov., Seite 65-69 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns volume:4 year:2018 month:11 pages:65-69 http://hdl.handle.net/10419/187906 Resolving-System kostenfrei Volltext https://doi.org/10.1016/j.egyr.2018.01.008 Resolving-System kostenfrei Volltext https://www.sciencedirect.com/science/article/pii/S2352484717301968/pdfft?md5=44cbe1c84203c5393338de176096ecff&pid=1-s2.0-S2352484717301968-main.pdf Verlag kostenfrei Volltext http://creativecommons.org/licenses/by-nc-nd/4.0/ Verlag Terms of use 46 GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 11 65-69 26 01 0206 1780470266 x1k 26-06-18 26 00 DE-206 56 Environmental impact 26 00 DE-206 56 Fish behaviour 26 00 DE-206 56 Tidal flow 26 00 DE-206 56 Tidal stream energy
spelling	10.1016/j.egyr.2018.01.008 doi 10419/187906 hdl (DE-627)1025198298 (DE-599)GBV1025198298 DE-627 ger DE-627 rda eng Fraser, Shaun verfasserin aut Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Williamson, Benjamin J. verfasserin aut Nikora, Vladimir verfasserin aut Scott, Beth E. verfasserin aut Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 4(2018) vom: Nov., Seite 65-69 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns volume:4 year:2018 month:11 pages:65-69 http://hdl.handle.net/10419/187906 Resolving-System kostenfrei Volltext https://doi.org/10.1016/j.egyr.2018.01.008 Resolving-System kostenfrei Volltext https://www.sciencedirect.com/science/article/pii/S2352484717301968/pdfft?md5=44cbe1c84203c5393338de176096ecff&pid=1-s2.0-S2352484717301968-main.pdf Verlag kostenfrei Volltext http://creativecommons.org/licenses/by-nc-nd/4.0/ Verlag Terms of use 46 GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 11 65-69 26 01 0206 1780470266 x1k 26-06-18 26 00 DE-206 56 Environmental impact 26 00 DE-206 56 Fish behaviour 26 00 DE-206 56 Tidal flow 26 00 DE-206 56 Tidal stream energy
allfields_unstemmed	10.1016/j.egyr.2018.01.008 doi 10419/187906 hdl (DE-627)1025198298 (DE-599)GBV1025198298 DE-627 ger DE-627 rda eng Fraser, Shaun verfasserin aut Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Williamson, Benjamin J. verfasserin aut Nikora, Vladimir verfasserin aut Scott, Beth E. verfasserin aut Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 4(2018) vom: Nov., Seite 65-69 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns volume:4 year:2018 month:11 pages:65-69 http://hdl.handle.net/10419/187906 Resolving-System kostenfrei Volltext https://doi.org/10.1016/j.egyr.2018.01.008 Resolving-System kostenfrei Volltext https://www.sciencedirect.com/science/article/pii/S2352484717301968/pdfft?md5=44cbe1c84203c5393338de176096ecff&pid=1-s2.0-S2352484717301968-main.pdf Verlag kostenfrei Volltext http://creativecommons.org/licenses/by-nc-nd/4.0/ Verlag Terms of use 46 GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 11 65-69 26 01 0206 1780470266 x1k 26-06-18 26 00 DE-206 56 Environmental impact 26 00 DE-206 56 Fish behaviour 26 00 DE-206 56 Tidal flow 26 00 DE-206 56 Tidal stream energy
allfieldsGer	10.1016/j.egyr.2018.01.008 doi 10419/187906 hdl (DE-627)1025198298 (DE-599)GBV1025198298 DE-627 ger DE-627 rda eng Fraser, Shaun verfasserin aut Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Williamson, Benjamin J. verfasserin aut Nikora, Vladimir verfasserin aut Scott, Beth E. verfasserin aut Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 4(2018) vom: Nov., Seite 65-69 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns volume:4 year:2018 month:11 pages:65-69 http://hdl.handle.net/10419/187906 Resolving-System kostenfrei Volltext https://doi.org/10.1016/j.egyr.2018.01.008 Resolving-System kostenfrei Volltext https://www.sciencedirect.com/science/article/pii/S2352484717301968/pdfft?md5=44cbe1c84203c5393338de176096ecff&pid=1-s2.0-S2352484717301968-main.pdf Verlag kostenfrei Volltext http://creativecommons.org/licenses/by-nc-nd/4.0/ Verlag Terms of use 46 GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 11 65-69 26 01 0206 1780470266 x1k 26-06-18 26 00 DE-206 56 Environmental impact 26 00 DE-206 56 Fish behaviour 26 00 DE-206 56 Tidal flow 26 00 DE-206 56 Tidal stream energy
allfieldsSound	10.1016/j.egyr.2018.01.008 doi 10419/187906 hdl (DE-627)1025198298 (DE-599)GBV1025198298 DE-627 ger DE-627 rda eng Fraser, Shaun verfasserin aut Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Williamson, Benjamin J. verfasserin aut Nikora, Vladimir verfasserin aut Scott, Beth E. verfasserin aut Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 4(2018) vom: Nov., Seite 65-69 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns volume:4 year:2018 month:11 pages:65-69 http://hdl.handle.net/10419/187906 Resolving-System kostenfrei Volltext https://doi.org/10.1016/j.egyr.2018.01.008 Resolving-System kostenfrei Volltext https://www.sciencedirect.com/science/article/pii/S2352484717301968/pdfft?md5=44cbe1c84203c5393338de176096ecff&pid=1-s2.0-S2352484717301968-main.pdf Verlag kostenfrei Volltext http://creativecommons.org/licenses/by-nc-nd/4.0/ Verlag Terms of use 46 GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 11 65-69 26 01 0206 1780470266 x1k 26-06-18 26 00 DE-206 56 Environmental impact 26 00 DE-206 56 Fish behaviour 26 00 DE-206 56 Tidal flow 26 00 DE-206 56 Tidal stream energy
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source	Enthalten in Energy reports 4(2018) vom: Nov., Seite 65-69 volume:4 year:2018 month:11 pages:65-69
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authorswithroles_txt_mv	Fraser, Shaun @@aut@@ Williamson, Benjamin J. @@aut@@ Nikora, Vladimir @@aut@@ Scott, Beth E. @@aut@@
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author	Fraser, Shaun
spellingShingle	Fraser, Shaun 26 Environmental impact 26 Fish behaviour 26 Tidal flow 26 Tidal stream energy Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation
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topic_title	26 00 DE-206 56 Environmental impact 26 00 DE-206 56 Fish behaviour 26 00 DE-206 56 Tidal flow 26 00 DE-206 56 Tidal stream energy Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott
topic	26 Environmental impact 26 Fish behaviour 26 Tidal flow 26 Tidal stream energy
topic_unstemmed	26 Environmental impact 26 Fish behaviour 26 Tidal flow 26 Tidal stream energy
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title	Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation
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title_full	Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation Shaun Fraser, Benjamin J. Williamson, Vladimir Nikora, Beth E. Scott
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title_sort	fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation
title_auth	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation
url	http://hdl.handle.net/10419/187906 https://doi.org/10.1016/j.egyr.2018.01.008 https://www.sciencedirect.com/science/article/pii/S2352484717301968/pdfft?md5=44cbe1c84203c5393338de176096ecff&pid=1-s2.0-S2352484717301968-main.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/
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up_date	2024-07-04T12:41:55.006Z
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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. 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Fish distributions in a tidal channel indicate the behavioural impact of a marine renewable energy installation

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