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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Autores principales:	Luis Bedriñana-Romano, Rodrigo Hucke-Gaete, Francisco A. Viddi, Devin Johnson, Alexandre N. Zerbini, Juan Morales, Bruce Mate, Daniel M. Palacios
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9e1a37f764e748b78f5787deafc26a90
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spelling	oai:doaj.org-article:9e1a37f764e748b78f5787deafc26a902021-12-02T14:06:57ZDefining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model10.1038/s41598-021-82220-52045-2322https://doaj.org/article/9e1a37f764e748b78f5787deafc26a902021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82220-5https://doaj.org/toc/2045-2322Abstract 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.Luis Bedriñana-RomanoRodrigo Hucke-GaeteFrancisco A. ViddiDevin JohnsonAlexandre N. ZerbiniJuan MoralesBruce MateDaniel M. PalaciosNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	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
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
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://doaj.org/article/9e1a37f764e748b78f5787deafc26a90
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Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model

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