Preferential habitats prediction in syngnathids using species distribution models.

Hernández-Urcera, J; Murillo, F J; Regueira, M; Cabanellas-Reboredo, M; Planas, M

Hernández-Urcera, J; Murillo, F J; Regueira, M; Cabanellas-Reboredo, M; Planas, M.

Afiliação

Hernández-Urcera J; Department of Ecology and Marine Resources, Instituto de Investigaciones Marinas (CSIC), Eduardo Cabello 6, 36208, Vigo, Spain; Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, B2Y 4A2, Canada. Electronic address: jurcera@iim.csic.es.
Murillo FJ; Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, B2Y 4A2, Canada.
Regueira M; Department of Ecology and Marine Resources, Instituto de Investigaciones Marinas (CSIC), Eduardo Cabello 6, 36208, Vigo, Spain.
Cabanellas-Reboredo M; Instituto Español de Oceanografía, Centro Oceanográfico de Baleares, Muelle de Poniente s/n, 07015, Palma de Mallorca, Spain.
Planas M; Department of Ecology and Marine Resources, Instituto de Investigaciones Marinas (CSIC), Eduardo Cabello 6, 36208, Vigo, Spain.

Mar Environ Res ; 172: 105488, 2021 Dec.

Article em En | MEDLINE | ID: mdl-34628145

Assuntos

Ecossistema; Smegmamorpha; Animais

Palavras-chave

Ensemble modeling; Habitat suitability; Pipefish; Species distribution models; Sustainable management; Syngnathids

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Smegmamorpha Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Mar Environ Res Assunto da revista: BIOLOGIA / SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2021 Tipo de documento: Article

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