Sabiia Seb
        Busca avançada

Botão Atualizar

Botão Atualizar

Registro completo
Provedor de dados:  ArchiMer
País:  France
Título:  A HMM-based model to geolocate pelagic fish from high-resolution individual temperature and depth histories: European sea bass as a case study
Autores:  Woillez, Mathieu
Fablet, Ronan
Tran-thanh Ngo,
Lalire, Maxime
Lazure, Pascal
De Pontual, Helene
Data:  2016-02
Ano:  2016
Palavras-chave:  Fish movement
Archival tagging
Population structure
Hidden Markov Model (HMM)
State-space model
Resumo:  Numerous methods have been developed to geolocate fish from data storage tags. Whereas demersal species have been tracked using tide-driven geolocation models, pelagic species which undertake extensive migrations have been mainly tracked using light-based models. Here, we present a new HMM-based model that infers pelagic fish positions from the sole use of high-resolution temperature and depth histories. A key contribution of our framework lies in model parameter inference (diffusion coefficient and noise parameters with respect to the reference geophysical fields—satellite SST and temperatures derived from the MARS3D hydrodynamic model), which improves model robustness. As a case study, we consider long time series of data storage tags (DSTs) deployed on European sea bass for which individual migration tracks are reconstructed for the first time. We performed a sensitivity analysis on synthetic and real data in order to assess the robustness of the reconstructed tracks with respect to model parameters, chosen reference geophysical fields and the knowledge of fish recapture position. Model assumptions and future directions are discussed. Finally, our model opens new avenues for the reconstruction and analysis of migratory patterns of many other pelagic species in relatively contrasted geophysical environments
Tipo:  Text
Idioma:  Inglês

Editor:  Elsevier Science Bv
Formato:  application/pdf
Fonte:  Ecological Modelling (0304-3800) (Elsevier Science Bv), 2016-02 , Vol. 321 , P. 10-22
Direitos:  2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-NDlicense (


restricted use

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC:

Valid HTML 4.01 Transitional