Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model

Autores
Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco A.; Johnson, Devin; Zerbini, Alexandre; Morales, Juan Manuel; Mate, Bruce; Palacios, Daniel M.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Bedriñana Romano, Luis. NGO Centro Ballena Azul; Chile. Universidad Austral de Chile; Chile
Fil: Hucke Gaete, Rodrigo. NGO Centro Ballena Azul; Chile. Universidad Austral de Chile; Chile
Fil: Viddi, Francisco A.. Universidad Austral de Chile; Chile. NGO Centro Ballena Azul; Chile
Fil: Johnson, Devin. National Oceanic And Atmospheric Administration; Estados Unidos
Fil: Zerbini, Alexandre. Instituto Aqualie; Brasil. Cascadia Research Collective; Canadá. Marine Ecology And Telemetry Research; Estados Unidos. National Oceanic And Atmospheric Administration; Estados Unidos
Fil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Mate, Bruce. State University of Oregon; Estados Unidos
Fil: Palacios, Daniel M.. State University of Oregon; Estados Unidos
Materia
WHALE MOVEMENT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/183745
Acceder
id CONICETDig_7c828afaf592c7fc973d160ef24e455f
oai_identifier_str oai:ri.conicet.gov.ar:11336/183745
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement modelBedriñana Romano, LuisHucke Gaete, RodrigoViddi, Francisco A.Johnson, DevinZerbini, AlexandreMorales, Juan ManuelMate, BrucePalacios, Daniel M.WHALE MOVEMENThttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Defining 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.Fil: Bedriñana Romano, Luis. NGO Centro Ballena Azul; Chile. Universidad Austral de Chile; ChileFil: Hucke Gaete, Rodrigo. NGO Centro Ballena Azul; Chile. Universidad Austral de Chile; ChileFil: Viddi, Francisco A.. Universidad Austral de Chile; Chile. NGO Centro Ballena Azul; ChileFil: Johnson, Devin. National Oceanic And Atmospheric Administration; Estados UnidosFil: Zerbini, Alexandre. Instituto Aqualie; Brasil. Cascadia Research Collective; Canadá. Marine Ecology And Telemetry Research; Estados Unidos. National Oceanic And Atmospheric Administration; Estados UnidosFil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Mate, Bruce. State University of Oregon; Estados UnidosFil: Palacios, Daniel M.. State University of Oregon; Estados UnidosNature Publishing Group2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/183745Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco A.; Johnson, Devin; Zerbini, Alexandre; et al.; Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model; Nature Publishing Group; Scientific Reports; 11; 1; 12-2021; 1-162045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-82220-5info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-021-82220-5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:14Zoai:ri.conicet.gov.ar:11336/183745instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:52:14.533CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model
title Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model
spellingShingle 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
WHALE MOVEMENT
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
dc.creator.none.fl_str_mv Bedriñana Romano, Luis
Hucke Gaete, Rodrigo
Viddi, Francisco A.
Johnson, Devin
Zerbini, Alexandre
Morales, Juan Manuel
Mate, Bruce
Palacios, Daniel M.
author Bedriñana Romano, Luis
author_facet Bedriñana Romano, Luis
Hucke Gaete, Rodrigo
Viddi, Francisco A.
Johnson, Devin
Zerbini, Alexandre
Morales, Juan Manuel
Mate, Bruce
Palacios, Daniel M.
author_role author
author2 Hucke Gaete, Rodrigo
Viddi, Francisco A.
Johnson, Devin
Zerbini, Alexandre
Morales, Juan Manuel
Mate, Bruce
Palacios, Daniel M.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv WHALE MOVEMENT
topic WHALE MOVEMENT
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Bedriñana Romano, Luis. NGO Centro Ballena Azul; Chile. Universidad Austral de Chile; Chile
Fil: Hucke Gaete, Rodrigo. NGO Centro Ballena Azul; Chile. Universidad Austral de Chile; Chile
Fil: Viddi, Francisco A.. Universidad Austral de Chile; Chile. NGO Centro Ballena Azul; Chile
Fil: Johnson, Devin. National Oceanic And Atmospheric Administration; Estados Unidos
Fil: Zerbini, Alexandre. Instituto Aqualie; Brasil. Cascadia Research Collective; Canadá. Marine Ecology And Telemetry Research; Estados Unidos. National Oceanic And Atmospheric Administration; Estados Unidos
Fil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Mate, Bruce. State University of Oregon; Estados Unidos
Fil: Palacios, Daniel M.. State University of Oregon; Estados Unidos
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.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/183745
Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco A.; Johnson, Devin; Zerbini, Alexandre; et al.; Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model; Nature Publishing Group; Scientific Reports; 11; 1; 12-2021; 1-16
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/183745
identifier_str_mv Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco A.; Johnson, Devin; Zerbini, Alexandre; et al.; Defining priority areas for blue whale conservation and investigating overlap with vessel traffic in Chilean Patagonia, using a fast-fitting movement model; Nature Publishing Group; Scientific Reports; 11; 1; 12-2021; 1-16
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-82220-5
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-021-82220-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269145430753280
score 13.13397

Publicaciones similares