Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model
Abstract 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...
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ftdoajarticles:oai:doaj.org/article:9e1a37f764e748b78f5787deafc26a90 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 Luis Bedriñana-Romano Rodrigo Hucke-Gaete Francisco A. Viddi Devin Johnson Alexandre N. Zerbini Juan Morales Bruce Mate Daniel M. Palacios 2021-02-01T00:00:00Z https://doi.org/10.1038/s41598-021-82220-5 https://doaj.org/article/9e1a37f764e748b78f5787deafc26a90 EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-82220-5 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-82220-5 2045-2322 https://doaj.org/article/9e1a37f764e748b78f5787deafc26a90 Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021) Medicine R Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41598-021-82220-5 2022-12-31T05:25:59Z Abstract 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 Directory of Open Access Journals: DOAJ Articles Patagonia Scientific Reports 11 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Medicine R Science Q |
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Medicine R Science Q Luis Bedriñana-Romano Rodrigo Hucke-Gaete Francisco A. Viddi Devin Johnson Alexandre N. Zerbini Juan Morales Bruce Mate Daniel M. Palacios Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model |
topic_facet |
Medicine R Science Q |
description |
Abstract 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 |
Luis Bedriñana-Romano Rodrigo Hucke-Gaete Francisco A. Viddi Devin Johnson Alexandre N. Zerbini Juan Morales Bruce Mate Daniel M. Palacios |
author_facet |
Luis Bedriñana-Romano Rodrigo Hucke-Gaete Francisco A. Viddi Devin Johnson Alexandre N. Zerbini Juan Morales Bruce Mate Daniel M. Palacios |
author_sort |
Luis Bedriñana-Romano |
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 Portfolio |
publishDate |
2021 |
url |
https://doi.org/10.1038/s41598-021-82220-5 https://doaj.org/article/9e1a37f764e748b78f5787deafc26a90 |
geographic |
Patagonia |
geographic_facet |
Patagonia |
genre |
Balaenoptera musculus Blue whale |
genre_facet |
Balaenoptera musculus Blue whale |
op_source |
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021) |
op_relation |
https://doi.org/10.1038/s41598-021-82220-5 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-82220-5 2045-2322 https://doaj.org/article/9e1a37f764e748b78f5787deafc26a90 |
op_doi |
https://doi.org/10.1038/s41598-021-82220-5 |
container_title |
Scientific Reports |
container_volume |
11 |
container_issue |
1 |
_version_ |
1766366733109559296 |