Providing a detailed estimate of mortality using a simulation-based collision risk model.

Horne, Nicholas; Culloch, Ross M; Schmitt, Pál; Wilson, Ben; Dale, Andrew C; Houghton, Jonathan D R; Kregting, Louise T

Horne, Nicholas; Culloch, Ross M; Schmitt, Pál; Wilson, Ben; Dale, Andrew C; Houghton, Jonathan D R; Kregting, Louise T.

Afiliação

Horne N; School of Natural and Built Environment, Queen's Marine Laboratory, Queen's University Belfast, Newtownards, Northern Ireland, United Kingdom.
Culloch RM; Marine Scotland Science, Scottish Government, Marine Laboratory, Aberdeen, Scotland, United Kingdom.
Schmitt P; APEM Limited, Heaton Mersey, Stockport, United Kingdom.
Wilson B; School of Chemistry and Chemical Engineering, Queen's Marine Laboratory, Queen's University Belfast, Newtownards, Northern Ireland, United Kingdom.
Dale AC; Scottish Association for Marine Science (SAMS), University of the Highlands and Islands, Oban, Argyll, Scotland, United Kingdom.
Houghton JDR; Scottish Association for Marine Science (SAMS), University of the Highlands and Islands, Oban, Argyll, Scotland, United Kingdom.
Kregting LT; School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom.

PLoS One ; 17(11): e0276757, 2022.

Article em En | MEDLINE | ID: mdl-36395329

Assuntos

Caniformia; Vento; Animais; Simulação por Computador; Energia Renovável; Aves

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Caniformia / Vento Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos

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