Development and parameterization of a data likelihood model for geolocation of a bentho-pelagic fish in the North Pacific Ocean
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DOI: 10.1016/j.ecolmodel.2023.110282
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- Nielsen, J.K. & Mueter, F.J. & Adkison, M.D. & Loher, T. & McDermott, S.F. & Seitz, A.C., 2019. "Effect of study area bathymetric heterogeneity on parameterization and performance of a depth-based geolocation model for demersal fishes," Ecological Modelling, Elsevier, vol. 402(C), pages 18-34.
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- Woillez, Mathieu & Fablet, Ronan & Ngo, Tran-Thanh & Lalire, Maxime & Lazure, Pascal & de Pontual, Hélène, 2016. "A HMM-based model to geolocate pelagic fish from high-resolution individual temperature and depth histories: European sea bass as a case study," Ecological Modelling, Elsevier, vol. 321(C), pages 10-22.
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Keywords
Fish geolocation; Hidden Markov model; Pop-up Satellite Archival Tags; Pacific spiny dogfish;All these keywords.
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