Your browser doesn't support javascript.
loading
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.
Afiliação
  • Bedriñana-Romano L; Instituto de Ciencias Marinas y Limnológicas, Facultad de Ciencias, Universidad Austral de Chile, Casilla 567, Valdivia, Chile. luis.bedrinana.romano@gmail.com.
  • Hucke-Gaete R; NGO Centro Ballena Azul, Valdivia, Chile. luis.bedrinana.romano@gmail.com.
  • Viddi FA; Instituto de Ciencias Marinas y Limnológicas, Facultad de Ciencias, Universidad Austral de Chile, Casilla 567, Valdivia, Chile. rhucke@uach.cl.
  • Johnson D; NGO Centro Ballena Azul, Valdivia, Chile. rhucke@uach.cl.
  • Zerbini AN; Instituto de Ciencias Marinas y Limnológicas, Facultad de Ciencias, Universidad Austral de Chile, Casilla 567, Valdivia, Chile.
  • Morales J; NGO Centro Ballena Azul, Valdivia, Chile.
  • Mate B; Marine Mammal Laboratory, Alaska Fisheries Science Center/NOAA, 7600 Sand Point Way NE, Seattle, WA, USA.
  • Palacios DM; Marine Mammal Laboratory, Alaska Fisheries Science Center/NOAA, 7600 Sand Point Way NE, Seattle, WA, USA.
Sci Rep ; 11(1): 2709, 2021 02 01.
Article em En | MEDLINE | ID: mdl-33526800
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.
Assuntos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Navios / Ecossistema / Espécies em Perigo de Extinção / Conservação dos Recursos Naturais / Balaenoptera / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do sul / Chile Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Chile País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Navios / Ecossistema / Espécies em Perigo de Extinção / Conservação dos Recursos Naturais / Balaenoptera / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do sul / Chile Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Chile País de publicação: Reino Unido