Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia

Autores
Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco Alejandro; Morales, Juan Manuel; Williams, Rob; Ashe, Erin; Garcés Vargas, José; Torres Florez, Juan Pablo; Ruiz, Jorge
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim: Species distribution models are useful tools for depicting important habitat, assessing abundance and orienting conservation efforts. For small populations in poorly studied ecosystems, available data are often scarce and patchy. To overcome this limitation, we aim to evaluate the use of different data types within a hierarchical Bayesian framework with the goal of modelling the abundance and distribution of a small and highly migratory population of blue whale (BW, Balaenoptera musculus) summering in Chilean Northern Patagonian (CNP). Location: CNP, Eastern South Pacific (ESP). Methods: We constructed a Bayesian hierarchical species distribution Model (HSDM), combining a binomial N-mixture model used to model BW groups counts in line-transect data (2009, 2012 and 2014) with a logistic regression for modelling presence-availability data (2009–2016), allowing both models to share covariate parameters for borrowing strength in estimations. Results: Distance to areas of high chlorophyll-a concentration during spring before summering season (AHCC-s) was the most important and consistent explanatory variable for assessing BW abundance and distribution in CNP. Incorporating accessorial presence-only data reduced uncertainty in parameters estimation when comparing with a model using only line-transect data, although other covariates of secondary importance failed to be retained in this model. Main conclusions: Our results remark the capability of HSDM for integrating different data types providing a potential powerful tool when data are limited and heterogeneous. Results indicate that AHCC-s, and possibly thermal fronts, could modulate BW abundance and distribution patterns in CNP. Preliminary model-based delimitations of possible priority conservation areas for BW in CNP overlap with highly used vessel navigation routes and areas destined to aquaculture.
Fil: Bedriñana Romano, Luis. Universidad Austral de Chile; Chile
Fil: Hucke Gaete, Rodrigo. Universidad Austral de Chile; Chile
Fil: Viddi, Francisco Alejandro. Universidad Austral de Chile; Chile
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. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina
Fil: Williams, Rob. Oceans Initiative; Estados Unidos
Fil: Ashe, Erin. Oceans Initiative; Estados Unidos
Fil: Garcés Vargas, José. Centro de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes; Chile. Universidad Austral de Chile; Chile
Fil: Torres Florez, Juan Pablo. Universidade Federal do São Carlos; Brasil
Fil: Ruiz, Jorge. Universidad Austral de Chile; Chile
Materia
ABUNDANCE ASSESSMENT
BLUE WHALE
CHILEAN PATAGONIA
HABITAT SELECTION
HIERARCHICAL BAYESIAN MODELS
MARINE CONSERVATION
SPECIES DISTRIBUTION MODELS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/87010
Acceder
id CONICETDig_0c0b5b0047bf4c0a076b17edc1b8fd71
oai_identifier_str oai:ri.conicet.gov.ar:11336/87010
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern PatagoniaBedriñana Romano, LuisHucke Gaete, RodrigoViddi, Francisco AlejandroMorales, Juan ManuelWilliams, RobAshe, ErinGarcés Vargas, JoséTorres Florez, Juan PabloRuiz, JorgeABUNDANCE ASSESSMENTBLUE WHALECHILEAN PATAGONIAHABITAT SELECTIONHIERARCHICAL BAYESIAN MODELSMARINE CONSERVATIONSPECIES DISTRIBUTION MODELShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Aim: Species distribution models are useful tools for depicting important habitat, assessing abundance and orienting conservation efforts. For small populations in poorly studied ecosystems, available data are often scarce and patchy. To overcome this limitation, we aim to evaluate the use of different data types within a hierarchical Bayesian framework with the goal of modelling the abundance and distribution of a small and highly migratory population of blue whale (BW, Balaenoptera musculus) summering in Chilean Northern Patagonian (CNP). Location: CNP, Eastern South Pacific (ESP). Methods: We constructed a Bayesian hierarchical species distribution Model (HSDM), combining a binomial N-mixture model used to model BW groups counts in line-transect data (2009, 2012 and 2014) with a logistic regression for modelling presence-availability data (2009–2016), allowing both models to share covariate parameters for borrowing strength in estimations. Results: Distance to areas of high chlorophyll-a concentration during spring before summering season (AHCC-s) was the most important and consistent explanatory variable for assessing BW abundance and distribution in CNP. Incorporating accessorial presence-only data reduced uncertainty in parameters estimation when comparing with a model using only line-transect data, although other covariates of secondary importance failed to be retained in this model. Main conclusions: Our results remark the capability of HSDM for integrating different data types providing a potential powerful tool when data are limited and heterogeneous. Results indicate that AHCC-s, and possibly thermal fronts, could modulate BW abundance and distribution patterns in CNP. Preliminary model-based delimitations of possible priority conservation areas for BW in CNP overlap with highly used vessel navigation routes and areas destined to aquaculture.Fil: Bedriñana Romano, Luis. Universidad Austral de Chile; ChileFil: Hucke Gaete, Rodrigo. Universidad Austral de Chile; ChileFil: Viddi, Francisco Alejandro. Universidad Austral de Chile; ChileFil: 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. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; ArgentinaFil: Williams, Rob. Oceans Initiative; Estados UnidosFil: Ashe, Erin. Oceans Initiative; Estados UnidosFil: Garcés Vargas, José. Centro de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes; Chile. Universidad Austral de Chile; ChileFil: Torres Florez, Juan Pablo. Universidade Federal do São Carlos; BrasilFil: Ruiz, Jorge. Universidad Austral de Chile; ChileWiley Blackwell Publishing, Inc2018-07-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/87010Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco Alejandro; Morales, Juan Manuel; Williams, Rob; et al.; Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 24; 7; 24-7-2018; 991-10041366-9516CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/ddi.12739info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1111/ddi.12739info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:44Zoai:ri.conicet.gov.ar:11336/87010instacron: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 09:54:44.512CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
title Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
spellingShingle Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
Bedriñana Romano, Luis
ABUNDANCE ASSESSMENT
BLUE WHALE
CHILEAN PATAGONIA
HABITAT SELECTION
HIERARCHICAL BAYESIAN MODELS
MARINE CONSERVATION
SPECIES DISTRIBUTION MODELS
title_short Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
title_full Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
title_fullStr Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
title_full_unstemmed Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
title_sort Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia
dc.creator.none.fl_str_mv Bedriñana Romano, Luis
Hucke Gaete, Rodrigo
Viddi, Francisco Alejandro
Morales, Juan Manuel
Williams, Rob
Ashe, Erin
Garcés Vargas, José
Torres Florez, Juan Pablo
Ruiz, Jorge
author Bedriñana Romano, Luis
author_facet Bedriñana Romano, Luis
Hucke Gaete, Rodrigo
Viddi, Francisco Alejandro
Morales, Juan Manuel
Williams, Rob
Ashe, Erin
Garcés Vargas, José
Torres Florez, Juan Pablo
Ruiz, Jorge
author_role author
author2 Hucke Gaete, Rodrigo
Viddi, Francisco Alejandro
Morales, Juan Manuel
Williams, Rob
Ashe, Erin
Garcés Vargas, José
Torres Florez, Juan Pablo
Ruiz, Jorge
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ABUNDANCE ASSESSMENT
BLUE WHALE
CHILEAN PATAGONIA
HABITAT SELECTION
HIERARCHICAL BAYESIAN MODELS
MARINE CONSERVATION
SPECIES DISTRIBUTION MODELS
topic ABUNDANCE ASSESSMENT
BLUE WHALE
CHILEAN PATAGONIA
HABITAT SELECTION
HIERARCHICAL BAYESIAN MODELS
MARINE CONSERVATION
SPECIES DISTRIBUTION MODELS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Aim: Species distribution models are useful tools for depicting important habitat, assessing abundance and orienting conservation efforts. For small populations in poorly studied ecosystems, available data are often scarce and patchy. To overcome this limitation, we aim to evaluate the use of different data types within a hierarchical Bayesian framework with the goal of modelling the abundance and distribution of a small and highly migratory population of blue whale (BW, Balaenoptera musculus) summering in Chilean Northern Patagonian (CNP). Location: CNP, Eastern South Pacific (ESP). Methods: We constructed a Bayesian hierarchical species distribution Model (HSDM), combining a binomial N-mixture model used to model BW groups counts in line-transect data (2009, 2012 and 2014) with a logistic regression for modelling presence-availability data (2009–2016), allowing both models to share covariate parameters for borrowing strength in estimations. Results: Distance to areas of high chlorophyll-a concentration during spring before summering season (AHCC-s) was the most important and consistent explanatory variable for assessing BW abundance and distribution in CNP. Incorporating accessorial presence-only data reduced uncertainty in parameters estimation when comparing with a model using only line-transect data, although other covariates of secondary importance failed to be retained in this model. Main conclusions: Our results remark the capability of HSDM for integrating different data types providing a potential powerful tool when data are limited and heterogeneous. Results indicate that AHCC-s, and possibly thermal fronts, could modulate BW abundance and distribution patterns in CNP. Preliminary model-based delimitations of possible priority conservation areas for BW in CNP overlap with highly used vessel navigation routes and areas destined to aquaculture.
Fil: Bedriñana Romano, Luis. Universidad Austral de Chile; Chile
Fil: Hucke Gaete, Rodrigo. Universidad Austral de Chile; Chile
Fil: Viddi, Francisco Alejandro. Universidad Austral de Chile; Chile
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. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina
Fil: Williams, Rob. Oceans Initiative; Estados Unidos
Fil: Ashe, Erin. Oceans Initiative; Estados Unidos
Fil: Garcés Vargas, José. Centro de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes; Chile. Universidad Austral de Chile; Chile
Fil: Torres Florez, Juan Pablo. Universidade Federal do São Carlos; Brasil
Fil: Ruiz, Jorge. Universidad Austral de Chile; Chile
description Aim: Species distribution models are useful tools for depicting important habitat, assessing abundance and orienting conservation efforts. For small populations in poorly studied ecosystems, available data are often scarce and patchy. To overcome this limitation, we aim to evaluate the use of different data types within a hierarchical Bayesian framework with the goal of modelling the abundance and distribution of a small and highly migratory population of blue whale (BW, Balaenoptera musculus) summering in Chilean Northern Patagonian (CNP). Location: CNP, Eastern South Pacific (ESP). Methods: We constructed a Bayesian hierarchical species distribution Model (HSDM), combining a binomial N-mixture model used to model BW groups counts in line-transect data (2009, 2012 and 2014) with a logistic regression for modelling presence-availability data (2009–2016), allowing both models to share covariate parameters for borrowing strength in estimations. Results: Distance to areas of high chlorophyll-a concentration during spring before summering season (AHCC-s) was the most important and consistent explanatory variable for assessing BW abundance and distribution in CNP. Incorporating accessorial presence-only data reduced uncertainty in parameters estimation when comparing with a model using only line-transect data, although other covariates of secondary importance failed to be retained in this model. Main conclusions: Our results remark the capability of HSDM for integrating different data types providing a potential powerful tool when data are limited and heterogeneous. Results indicate that AHCC-s, and possibly thermal fronts, could modulate BW abundance and distribution patterns in CNP. Preliminary model-based delimitations of possible priority conservation areas for BW in CNP overlap with highly used vessel navigation routes and areas destined to aquaculture.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-24
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/11336/87010
Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco Alejandro; Morales, Juan Manuel; Williams, Rob; et al.; Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 24; 7; 24-7-2018; 991-1004
1366-9516
CONICET Digital
CONICET
url http://hdl.handle.net/11336/87010
identifier_str_mv Bedriñana Romano, Luis; Hucke Gaete, Rodrigo; Viddi, Francisco Alejandro; Morales, Juan Manuel; Williams, Rob; et al.; Integrating multiple data sources for assessing blue whale abundance and distribution in Chilean Northern Patagonia; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 24; 7; 24-7-2018; 991-1004
1366-9516
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/ddi.12739
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1111/ddi.12739
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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_ 1842269304057233408
score 13.13397

Publicaciones similares