Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model
Defining priority areas and risk evaluation is of utmost relevance for endangered species` conservation. For the blue whale (Balaenoptera musculus), we aim to assess environmental habitat selection drivers, priority areas for conservation and overlap with vessel traffic off northern Chilean Patagoni...
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ftuglasgow:oai:eprints.gla.ac.uk:277784 2023-05-15T15:36:23+02:00 Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model Bedriñana‑Romano, Luis Hucke-Gaete, Rodrigo Viddi, Francisco A. Johnson, Devin Zerbini, Alexandre N. Morales, Juan Mate, Bruce Palacios, Daniel M. 2021 text http://eprints.gla.ac.uk/277784/ http://eprints.gla.ac.uk/277784/1/277784.pdf en eng Nature Research http://eprints.gla.ac.uk/277784/1/277784.pdf Bedriñana‑Romano, L., Hucke-Gaete, R., Viddi, F. A., Johnson, D., Zerbini, A. N., Morales, J. <http://eprints.gla.ac.uk/view/author/29054.html> , Mate, B. and Palacios, D. M. (2021) Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model. Scientific Reports <http://eprints.gla.ac.uk/view/journal_volume/Scientific_Reports.html>, 11, 2709. (doi:10.1038/s41598-021-82220-5 <https://doi.org/10.1038/s41598-021-82220-5>) (PMID:33526800) (PMCID:PMC7851173) cc_by_4 CC-BY Articles PeerReviewed 2021 ftuglasgow https://doi.org/10.1038/s41598-021-82220-5 2022-09-01T22:11:18Z Defining priority areas and risk evaluation is of utmost relevance for endangered species` conservation. For the blue whale (Balaenoptera musculus), we aim to assess environmental habitat selection drivers, priority areas for conservation and overlap with vessel traffic off northern Chilean Patagonia (NCP). For this, we implemented a single-step continuous-time correlated-random-walk model which accommodates observational error and movement parameters variation in relation to oceanographic variables. Spatially explicit predictions of whales’ behavioral responses were combined with density predictions from previous species distribution models (SDM) and vessel tracking data to estimate the relative probability of vessels encountering whales and identifying areas where interaction is likely to occur. These estimations were conducted independently for the aquaculture, transport, artisanal fishery, and industrial fishery fleets operating in NCP. Blue whale movement patterns strongly agreed with SDM results, reinforcing our knowledge regarding oceanographic habitat selection drivers. By combining movement and density modeling approaches we provide a stronger support for purported priority areas for blue whale conservation and how they overlap with the main vessel traffic corridor in the NCP. The aquaculture fleet was one order of magnitude larger than any other fleet, indicating it could play a decisive role in modulating potential negative vessel-whale interactions within NCP. Article in Journal/Newspaper Balaenoptera musculus Blue whale University of Glasgow: Enlighten - Publications Patagonia Scientific Reports 11 1 |
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University of Glasgow: Enlighten - Publications |
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ftuglasgow |
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English |
description |
Defining priority areas and risk evaluation is of utmost relevance for endangered species` conservation. For the blue whale (Balaenoptera musculus), we aim to assess environmental habitat selection drivers, priority areas for conservation and overlap with vessel traffic off northern Chilean Patagonia (NCP). For this, we implemented a single-step continuous-time correlated-random-walk model which accommodates observational error and movement parameters variation in relation to oceanographic variables. Spatially explicit predictions of whales’ behavioral responses were combined with density predictions from previous species distribution models (SDM) and vessel tracking data to estimate the relative probability of vessels encountering whales and identifying areas where interaction is likely to occur. These estimations were conducted independently for the aquaculture, transport, artisanal fishery, and industrial fishery fleets operating in NCP. Blue whale movement patterns strongly agreed with SDM results, reinforcing our knowledge regarding oceanographic habitat selection drivers. By combining movement and density modeling approaches we provide a stronger support for purported priority areas for blue whale conservation and how they overlap with the main vessel traffic corridor in the NCP. The aquaculture fleet was one order of magnitude larger than any other fleet, indicating it could play a decisive role in modulating potential negative vessel-whale interactions within NCP. |
format |
Article in Journal/Newspaper |
author |
Bedriñana‑Romano, Luis Hucke-Gaete, Rodrigo Viddi, Francisco A. Johnson, Devin Zerbini, Alexandre N. Morales, Juan Mate, Bruce Palacios, Daniel M. |
spellingShingle |
Bedriñana‑Romano, Luis Hucke-Gaete, Rodrigo Viddi, Francisco A. Johnson, Devin Zerbini, Alexandre N. Morales, Juan Mate, Bruce Palacios, Daniel M. Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
author_facet |
Bedriñana‑Romano, Luis Hucke-Gaete, Rodrigo Viddi, Francisco A. Johnson, Devin Zerbini, Alexandre N. Morales, Juan Mate, Bruce Palacios, Daniel M. |
author_sort |
Bedriñana‑Romano, Luis |
title |
Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
title_short |
Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
title_full |
Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
title_fullStr |
Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
title_full_unstemmed |
Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
title_sort |
defining priority areas for blue whale conservation and investigating overlap with vessel traffic in chilean patagonia, using a fast-fitting movement model |
publisher |
Nature Research |
publishDate |
2021 |
url |
http://eprints.gla.ac.uk/277784/ http://eprints.gla.ac.uk/277784/1/277784.pdf |
geographic |
Patagonia |
geographic_facet |
Patagonia |
genre |
Balaenoptera musculus Blue whale |
genre_facet |
Balaenoptera musculus Blue whale |
op_relation |
http://eprints.gla.ac.uk/277784/1/277784.pdf Bedriñana‑Romano, L., Hucke-Gaete, R., Viddi, F. A., Johnson, D., Zerbini, A. N., Morales, J. <http://eprints.gla.ac.uk/view/author/29054.html> , Mate, B. and Palacios, D. M. (2021) Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model. Scientific Reports <http://eprints.gla.ac.uk/view/journal_volume/Scientific_Reports.html>, 11, 2709. (doi:10.1038/s41598-021-82220-5 <https://doi.org/10.1038/s41598-021-82220-5>) (PMID:33526800) (PMCID:PMC7851173) |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41598-021-82220-5 |
container_title |
Scientific Reports |
container_volume |
11 |
container_issue |
1 |
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1766366730223878144 |