Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats

The authors acknowledge support received from the Scottish Funding Council, Highlands & Islands Enterprise, Scottish Power Renewables and E.ON under the Hebridean Marine Energy Futures (HMEF) programme (Grant reference number 1R042 (HFU) SPIRIT , Project Ref. HR10012), a research initiative led...

Full description

Bibliographic Details
Published in:Deep Sea Research Part II: Topical Studies in Oceanography
Main Authors: Benjamins, Steven, van Geel, Nienke, Hastie, Gordon, Elliott, Jim, Wilson, Ben
Other Authors: NERC, University of St Andrews. School of Biology, University of St Andrews. Sea Mammal Research Unit
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
GC
Online Access:http://hdl.handle.net/10023/11068
https://doi.org/10.1016/j.dsr2.2016.07.002
http://www.sciencedirect.com/science/article/pii/S0967064516301849?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb#s0065
id ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/11068
record_format openpolar
institution Open Polar
collection University of St Andrews: Digital Research Repository
op_collection_id ftstandrewserep
language English
topic Monitoring
Arrays - Marine mammals
Tidal currents
Water waves - Marine renewable energy development (MRED) - Passive acoustics
QH301 Biology
GC Oceanography
NDAS
NERC
SDG 7 - Affordable and Clean Energy
SDG 14 - Life Below Water
QH301
GC
spellingShingle Monitoring
Arrays - Marine mammals
Tidal currents
Water waves - Marine renewable energy development (MRED) - Passive acoustics
QH301 Biology
GC Oceanography
NDAS
NERC
SDG 7 - Affordable and Clean Energy
SDG 14 - Life Below Water
QH301
GC
Benjamins, Steven
van Geel, Nienke
Hastie, Gordon
Elliott, Jim
Wilson, Ben
Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
topic_facet Monitoring
Arrays - Marine mammals
Tidal currents
Water waves - Marine renewable energy development (MRED) - Passive acoustics
QH301 Biology
GC Oceanography
NDAS
NERC
SDG 7 - Affordable and Clean Energy
SDG 14 - Life Below Water
QH301
GC
description The authors acknowledge support received from the Scottish Funding Council, Highlands & Islands Enterprise, Scottish Power Renewables and E.ON under the Hebridean Marine Energy Futures (HMEF) programme (Grant reference number 1R042 (HFU) SPIRIT , Project Ref. HR10012), a research initiative led by the University of the Highlands and Islands (UHI) and Aquamarine Power. Scarba C-POD data were collected under the UK Natural Environment Research Council (DEFRA/NERC) grant NE/J004367/1 (RESPONSE). Marine habitat heterogeneity underpins species distribution and can be generated through interactions between physical and biological drivers at multiple spatiotemporal scales. Passive acoustic monitoring (PAM) is used worldwide to study potential impacts of marine industrial activities on cetaceans, but understanding of animals’ site use at small spatiotemporal scales (<1 km, <1 day) remains limited. Small-scale variability in vocalising harbour porpoise (Phocoena phocoena) distribution within two Scottish marine renewable energy development (MRED) sites was investigated by deploying dense arrays of C-POD passive acoustic detectors at a wave energy test site (the European Marine Energy Centre [Billia Croo, Orkney]) and by a minor tidal-stream site (Scarba [Inner Hebrides]). Respective arrays consisted of 7 & 11 moorings containing two C-PODs each and were deployed for up to 55 days. Minimum inter-mooring distances varied between ~300–600 m. All C-POD data were analysed at a temporal resolution of whole minutes, with each minute classified as 1 or 0 on the basis of presence/absence of porpoise click trains (Porpoise-Positive Minutes/PPMs). Porpoise detection rates were analysed using Generalised Additive Models (GAMs) with Generalised Estimation Equations (GEEs). Although there were many porpoise detections (wave test site: N = 3,432; tidal-stream site: N = 17,366), daily detection rates varied significantly within both arrays. Within the wave site array (<1 km diameter), average daily detection rates ...
author2 NERC
University of St Andrews. School of Biology
University of St Andrews. Sea Mammal Research Unit
format Article in Journal/Newspaper
author Benjamins, Steven
van Geel, Nienke
Hastie, Gordon
Elliott, Jim
Wilson, Ben
author_facet Benjamins, Steven
van Geel, Nienke
Hastie, Gordon
Elliott, Jim
Wilson, Ben
author_sort Benjamins, Steven
title Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
title_short Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
title_full Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
title_fullStr Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
title_full_unstemmed Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
title_sort harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats
publishDate 2017
url http://hdl.handle.net/10023/11068
https://doi.org/10.1016/j.dsr2.2016.07.002
http://www.sciencedirect.com/science/article/pii/S0967064516301849?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb#s0065
genre Harbour porpoise
Phocoena phocoena
genre_facet Harbour porpoise
Phocoena phocoena
op_relation Deep Sea Research Part II: Topical Studies in Oceanography
Benjamins , S , van Geel , N , Hastie , G , Elliott , J & Wilson , B 2017 , ' Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats ' , Deep Sea Research Part II: Topical Studies in Oceanography , vol. 141 , pp. 191-202 . https://doi.org/10.1016/j.dsr2.2016.07.002
0967-0645
PURE: 244240198
PURE UUID: 84692776-4f98-4e09-b844-d8c0602bcdc9
RIS: urn:CF79223B2F0C56E060A4E3F7FB3F1A08
Scopus: 84994300386
ORCID: /0000-0002-9773-2755/work/54819212
WOS: 000405251400015
http://hdl.handle.net/10023/11068
https://doi.org/10.1016/j.dsr2.2016.07.002
http://www.sciencedirect.com/science/article/pii/S0967064516301849?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb#s0065
NE/J004251/1
op_rights © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
op_doi https://doi.org/10.1016/j.dsr2.2016.07.002
container_title Deep Sea Research Part II: Topical Studies in Oceanography
container_volume 141
container_start_page 191
op_container_end_page 202
_version_ 1770272081951326208
spelling ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/11068 2023-07-02T03:32:30+02:00 Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats Benjamins, Steven van Geel, Nienke Hastie, Gordon Elliott, Jim Wilson, Ben NERC University of St Andrews. School of Biology University of St Andrews. Sea Mammal Research Unit 2017-06-23T11:30:09Z 12 application/pdf http://hdl.handle.net/10023/11068 https://doi.org/10.1016/j.dsr2.2016.07.002 http://www.sciencedirect.com/science/article/pii/S0967064516301849?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb#s0065 eng eng Deep Sea Research Part II: Topical Studies in Oceanography Benjamins , S , van Geel , N , Hastie , G , Elliott , J & Wilson , B 2017 , ' Harbour porpoise distribution can vary at small spatiotemporal scales in energetic habitats ' , Deep Sea Research Part II: Topical Studies in Oceanography , vol. 141 , pp. 191-202 . https://doi.org/10.1016/j.dsr2.2016.07.002 0967-0645 PURE: 244240198 PURE UUID: 84692776-4f98-4e09-b844-d8c0602bcdc9 RIS: urn:CF79223B2F0C56E060A4E3F7FB3F1A08 Scopus: 84994300386 ORCID: /0000-0002-9773-2755/work/54819212 WOS: 000405251400015 http://hdl.handle.net/10023/11068 https://doi.org/10.1016/j.dsr2.2016.07.002 http://www.sciencedirect.com/science/article/pii/S0967064516301849?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb#s0065 NE/J004251/1 © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Monitoring Arrays - Marine mammals Tidal currents Water waves - Marine renewable energy development (MRED) - Passive acoustics QH301 Biology GC Oceanography NDAS NERC SDG 7 - Affordable and Clean Energy SDG 14 - Life Below Water QH301 GC Journal article 2017 ftstandrewserep https://doi.org/10.1016/j.dsr2.2016.07.002 2023-06-13T18:29:47Z The authors acknowledge support received from the Scottish Funding Council, Highlands & Islands Enterprise, Scottish Power Renewables and E.ON under the Hebridean Marine Energy Futures (HMEF) programme (Grant reference number 1R042 (HFU) SPIRIT , Project Ref. HR10012), a research initiative led by the University of the Highlands and Islands (UHI) and Aquamarine Power. Scarba C-POD data were collected under the UK Natural Environment Research Council (DEFRA/NERC) grant NE/J004367/1 (RESPONSE). Marine habitat heterogeneity underpins species distribution and can be generated through interactions between physical and biological drivers at multiple spatiotemporal scales. Passive acoustic monitoring (PAM) is used worldwide to study potential impacts of marine industrial activities on cetaceans, but understanding of animals’ site use at small spatiotemporal scales (<1 km, <1 day) remains limited. Small-scale variability in vocalising harbour porpoise (Phocoena phocoena) distribution within two Scottish marine renewable energy development (MRED) sites was investigated by deploying dense arrays of C-POD passive acoustic detectors at a wave energy test site (the European Marine Energy Centre [Billia Croo, Orkney]) and by a minor tidal-stream site (Scarba [Inner Hebrides]). Respective arrays consisted of 7 & 11 moorings containing two C-PODs each and were deployed for up to 55 days. Minimum inter-mooring distances varied between ~300–600 m. All C-POD data were analysed at a temporal resolution of whole minutes, with each minute classified as 1 or 0 on the basis of presence/absence of porpoise click trains (Porpoise-Positive Minutes/PPMs). Porpoise detection rates were analysed using Generalised Additive Models (GAMs) with Generalised Estimation Equations (GEEs). Although there were many porpoise detections (wave test site: N = 3,432; tidal-stream site: N = 17,366), daily detection rates varied significantly within both arrays. Within the wave site array (<1 km diameter), average daily detection rates ... Article in Journal/Newspaper Harbour porpoise Phocoena phocoena University of St Andrews: Digital Research Repository Deep Sea Research Part II: Topical Studies in Oceanography 141 191 202