Evaluating effects of wind farm construction on porpoises – a model-based approach
To combat impacts of climate change, offshore windfarm construction is accelerating in many parts of Europe, raising concerns about construction-associated noise impacts on acoustically sensitive species such as the harbour porpoise ( Phocoena phocoena ). This work investigated potential impacts fro...
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ftuhipublicatio:oai:pure.atira.dk:publications/bdc58dd3-29d3-4b8f-9a9c-ecb1d586c7e5 2023-07-30T04:03:59+02:00 Evaluating effects of wind farm construction on porpoises – a model-based approach Benjamins, Steven van Geel, Nienke Marmo, Brett Nabe-Nielsen, Jacob Wittich, Anja Risch, Denise Jameson, Darren Todd, Victoria Wilson, Ben 2022-07-12 application/pdf https://pure.uhi.ac.uk/en/publications/bdc58dd3-29d3-4b8f-9a9c-ecb1d586c7e5 https://pureadmin.uhi.ac.uk/ws/files/42953916/AN2022_presentation_SPR_v4.pdf eng eng info:eu-repo/semantics/openAccess Benjamins , S , van Geel , N , Marmo , B , Nabe-Nielsen , J , Wittich , A , Risch , D , Jameson , D , Todd , V & Wilson , B 2022 , ' Evaluating effects of wind farm construction on porpoises – a model-based approach ' . marine mammals Acoustics Renewable energy Wind turbines Offshore renewable energy offshore wind farms harbour porpoise Modeling Impact assessment conferenceObject 2022 ftuhipublicatio 2023-07-20T22:20:52Z To combat impacts of climate change, offshore windfarm construction is accelerating in many parts of Europe, raising concerns about construction-associated noise impacts on acoustically sensitive species such as the harbour porpoise ( Phocoena phocoena ). This work investigated potential impacts from the construction of ScottishPower Renewables’ East Anglia ONE (EA1) offshore windfarm, located off southeast England, on the North Sea harbour porpoise Management Unit (MU) using iPCoD and DEPONS population impact modelling frameworks. Both models were parameterised using project-specific input values derived from sound propagation modelling (calibrated by means of empirical broadband recordings) and passive acoustic monitoring of porpoises (C-PODs) collected at the EA1 development site before, during, and after construction. To evaluate model sensitivity to parameter uncertainty, multiple iPCoD and DEPONS scenarios were considered, using different values across several parameters, and modelling over different spatial scales. Analysis of porpoise detection data in the presence and absence of construction activity revealed clear negative local effects of pin-piling, with an overall decrease in porpoise detections out to 14.0 km from the piling locations. At this distance, the predicted frequency-weighted (for high-frequency cetaceans) received level was 103.0 dB re 1 μPa2s SEL. Results of the simulations undertaken here revealed that neither iPCoD nor DEPONS model predicted long-term population-level impacts in response to pin-piling activities at EA1. There was no indication that population size would decline, and no differences were apparent between simulated unimpacted reference populations and impacted populations when subjected to multiple scenarios representing both uncertainty in parameter input values and uncertainty in model sensitivity to these input values. Based on these outcomes, and ignoring all other pressures that may affect population dynamics (e.g. bycatch), it appears likely that a population-level ... Conference Object Harbour porpoise Phocoena phocoena University of the Highlands and Islands: Research Database of UHI |
institution |
Open Polar |
collection |
University of the Highlands and Islands: Research Database of UHI |
op_collection_id |
ftuhipublicatio |
language |
English |
topic |
marine mammals Acoustics Renewable energy Wind turbines Offshore renewable energy offshore wind farms harbour porpoise Modeling Impact assessment |
spellingShingle |
marine mammals Acoustics Renewable energy Wind turbines Offshore renewable energy offshore wind farms harbour porpoise Modeling Impact assessment Benjamins, Steven van Geel, Nienke Marmo, Brett Nabe-Nielsen, Jacob Wittich, Anja Risch, Denise Jameson, Darren Todd, Victoria Wilson, Ben Evaluating effects of wind farm construction on porpoises – a model-based approach |
topic_facet |
marine mammals Acoustics Renewable energy Wind turbines Offshore renewable energy offshore wind farms harbour porpoise Modeling Impact assessment |
description |
To combat impacts of climate change, offshore windfarm construction is accelerating in many parts of Europe, raising concerns about construction-associated noise impacts on acoustically sensitive species such as the harbour porpoise ( Phocoena phocoena ). This work investigated potential impacts from the construction of ScottishPower Renewables’ East Anglia ONE (EA1) offshore windfarm, located off southeast England, on the North Sea harbour porpoise Management Unit (MU) using iPCoD and DEPONS population impact modelling frameworks. Both models were parameterised using project-specific input values derived from sound propagation modelling (calibrated by means of empirical broadband recordings) and passive acoustic monitoring of porpoises (C-PODs) collected at the EA1 development site before, during, and after construction. To evaluate model sensitivity to parameter uncertainty, multiple iPCoD and DEPONS scenarios were considered, using different values across several parameters, and modelling over different spatial scales. Analysis of porpoise detection data in the presence and absence of construction activity revealed clear negative local effects of pin-piling, with an overall decrease in porpoise detections out to 14.0 km from the piling locations. At this distance, the predicted frequency-weighted (for high-frequency cetaceans) received level was 103.0 dB re 1 μPa2s SEL. Results of the simulations undertaken here revealed that neither iPCoD nor DEPONS model predicted long-term population-level impacts in response to pin-piling activities at EA1. There was no indication that population size would decline, and no differences were apparent between simulated unimpacted reference populations and impacted populations when subjected to multiple scenarios representing both uncertainty in parameter input values and uncertainty in model sensitivity to these input values. Based on these outcomes, and ignoring all other pressures that may affect population dynamics (e.g. bycatch), it appears likely that a population-level ... |
format |
Conference Object |
author |
Benjamins, Steven van Geel, Nienke Marmo, Brett Nabe-Nielsen, Jacob Wittich, Anja Risch, Denise Jameson, Darren Todd, Victoria Wilson, Ben |
author_facet |
Benjamins, Steven van Geel, Nienke Marmo, Brett Nabe-Nielsen, Jacob Wittich, Anja Risch, Denise Jameson, Darren Todd, Victoria Wilson, Ben |
author_sort |
Benjamins, Steven |
title |
Evaluating effects of wind farm construction on porpoises – a model-based approach |
title_short |
Evaluating effects of wind farm construction on porpoises – a model-based approach |
title_full |
Evaluating effects of wind farm construction on porpoises – a model-based approach |
title_fullStr |
Evaluating effects of wind farm construction on porpoises – a model-based approach |
title_full_unstemmed |
Evaluating effects of wind farm construction on porpoises – a model-based approach |
title_sort |
evaluating effects of wind farm construction on porpoises – a model-based approach |
publishDate |
2022 |
url |
https://pure.uhi.ac.uk/en/publications/bdc58dd3-29d3-4b8f-9a9c-ecb1d586c7e5 https://pureadmin.uhi.ac.uk/ws/files/42953916/AN2022_presentation_SPR_v4.pdf |
genre |
Harbour porpoise Phocoena phocoena |
genre_facet |
Harbour porpoise Phocoena phocoena |
op_source |
Benjamins , S , van Geel , N , Marmo , B , Nabe-Nielsen , J , Wittich , A , Risch , D , Jameson , D , Todd , V & Wilson , B 2022 , ' Evaluating effects of wind farm construction on porpoises – a model-based approach ' . |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1772815154418810880 |