Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area
Offshore windfarms provide renewable energy, but activities during the construction phase can affect marine mammals. To understand how the construction of an offshore windfarm in the Maryland Wind Energy Area (WEA) off Maryland, USA, might impact harbour porpoises (Phocoena phocoena), it is essentia...
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ftdryad:oai:v1.datadryad.org:10255/dryad.134842 2023-05-15T16:33:20+02:00 Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area Wingfield, Jessica E. O'Brien, Michael Lyubchich, Vyacheslav Roberts, Jason J. Halpin, Patrick N. Rice, Aaron N. Bailey, Helen Mid-Atlantic East coast of the United States 2017-05-15T14:18:20Z http://hdl.handle.net/10255/dryad.134842 https://doi.org/10.5061/dryad.25256 unknown doi:10.5061/dryad.25256/1 doi:10.5061/dryad.25256/2 doi:10.5061/dryad.25256/3 doi:10.5061/dryad.25256/4 doi:10.1371/journal.pone.0176653 doi:10.5061/dryad.25256 Wingfield JE, O’Brien M, Lyubchich V, Roberts JJ, Halpin PN, Rice AN, Bailey H (2017) Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area. PLOS ONE 12(5): e0176653. 1932-6203 http://hdl.handle.net/10255/dryad.134842 offshore windfarm spatiotemporal distribution C-POD habitat modelling impacts Article 2017 ftdryad https://doi.org/10.5061/dryad.25256 https://doi.org/10.5061/dryad.25256/1 https://doi.org/10.5061/dryad.25256/2 https://doi.org/10.5061/dryad.25256/3 https://doi.org/10.5061/dryad.25256/4 https://doi.org/10.1371/journal.pone.0176653 2020-01-01T15:45:02Z Offshore windfarms provide renewable energy, but activities during the construction phase can affect marine mammals. To understand how the construction of an offshore windfarm in the Maryland Wind Energy Area (WEA) off Maryland, USA, might impact harbour porpoises (Phocoena phocoena), it is essential to determine their poorly understood year-round distribution. Although habitat-based models can help predict the occurrence of species in areas with limited or no sampling, they require validation to determine the accuracy of the predictions. Incorporating more than 18 months of harbour porpoise detection data from passive acoustic monitoring, generalized auto-regressive moving average and generalized additive models were used to investigate harbour porpoise occurrence within and around the Maryland WEA in relation to temporal and environmental variables. Acoustic detection metrics were compared to habitat-based density estimates derived from aerial and boat-based sightings to validate the model predictions. Harbour porpoises occurred significantly more frequently during January to May, and foraged significantly more often in the evenings to early mornings at sites within and outside the Maryland WEA. Harbour porpoise occurrence peaked at sea surface temperatures of 5°C and chlorophyll a concentrations of 4.5 to 7.4 mg m-3. The acoustic detections were significantly correlated with the predicted densities, except at the most inshore site. This study provides insight into previously unknown fine-scale spatial and temporal patterns in distribution of harbour porpoises offshore of Maryland. The results can be used to help inform future monitoring and mitigate the impacts of windfarm construction and other human activities. Article in Journal/Newspaper Harbour porpoise Phocoena phocoena Dryad Digital Repository (Duke University) |
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Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
offshore windfarm spatiotemporal distribution C-POD habitat modelling impacts |
spellingShingle |
offshore windfarm spatiotemporal distribution C-POD habitat modelling impacts Wingfield, Jessica E. O'Brien, Michael Lyubchich, Vyacheslav Roberts, Jason J. Halpin, Patrick N. Rice, Aaron N. Bailey, Helen Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area |
topic_facet |
offshore windfarm spatiotemporal distribution C-POD habitat modelling impacts |
description |
Offshore windfarms provide renewable energy, but activities during the construction phase can affect marine mammals. To understand how the construction of an offshore windfarm in the Maryland Wind Energy Area (WEA) off Maryland, USA, might impact harbour porpoises (Phocoena phocoena), it is essential to determine their poorly understood year-round distribution. Although habitat-based models can help predict the occurrence of species in areas with limited or no sampling, they require validation to determine the accuracy of the predictions. Incorporating more than 18 months of harbour porpoise detection data from passive acoustic monitoring, generalized auto-regressive moving average and generalized additive models were used to investigate harbour porpoise occurrence within and around the Maryland WEA in relation to temporal and environmental variables. Acoustic detection metrics were compared to habitat-based density estimates derived from aerial and boat-based sightings to validate the model predictions. Harbour porpoises occurred significantly more frequently during January to May, and foraged significantly more often in the evenings to early mornings at sites within and outside the Maryland WEA. Harbour porpoise occurrence peaked at sea surface temperatures of 5°C and chlorophyll a concentrations of 4.5 to 7.4 mg m-3. The acoustic detections were significantly correlated with the predicted densities, except at the most inshore site. This study provides insight into previously unknown fine-scale spatial and temporal patterns in distribution of harbour porpoises offshore of Maryland. The results can be used to help inform future monitoring and mitigate the impacts of windfarm construction and other human activities. |
format |
Article in Journal/Newspaper |
author |
Wingfield, Jessica E. O'Brien, Michael Lyubchich, Vyacheslav Roberts, Jason J. Halpin, Patrick N. Rice, Aaron N. Bailey, Helen |
author_facet |
Wingfield, Jessica E. O'Brien, Michael Lyubchich, Vyacheslav Roberts, Jason J. Halpin, Patrick N. Rice, Aaron N. Bailey, Helen |
author_sort |
Wingfield, Jessica E. |
title |
Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area |
title_short |
Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area |
title_full |
Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area |
title_fullStr |
Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area |
title_full_unstemmed |
Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area |
title_sort |
data from: year-round spatiotemporal distribution of harbour porpoises within and around the maryland wind energy area |
publishDate |
2017 |
url |
http://hdl.handle.net/10255/dryad.134842 https://doi.org/10.5061/dryad.25256 |
op_coverage |
Mid-Atlantic East coast of the United States |
genre |
Harbour porpoise Phocoena phocoena |
genre_facet |
Harbour porpoise Phocoena phocoena |
op_relation |
doi:10.5061/dryad.25256/1 doi:10.5061/dryad.25256/2 doi:10.5061/dryad.25256/3 doi:10.5061/dryad.25256/4 doi:10.1371/journal.pone.0176653 doi:10.5061/dryad.25256 Wingfield JE, O’Brien M, Lyubchich V, Roberts JJ, Halpin PN, Rice AN, Bailey H (2017) Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area. PLOS ONE 12(5): e0176653. 1932-6203 http://hdl.handle.net/10255/dryad.134842 |
op_doi |
https://doi.org/10.5061/dryad.25256 https://doi.org/10.5061/dryad.25256/1 https://doi.org/10.5061/dryad.25256/2 https://doi.org/10.5061/dryad.25256/3 https://doi.org/10.5061/dryad.25256/4 https://doi.org/10.1371/journal.pone.0176653 |
_version_ |
1766023029104574464 |