Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology

Ecological Informatics

Volumn 30, Issue , 2015, Pages 142-158

  Trifonova, Neda ^a   Kenny, Andrew ^b   Maxwell, David ^b   Duplisea, Daniel ^c   Fernandes, Jose ^d   Tucker, Allan ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b CENTRE FOR ENVIRONMENT   (United Kingdom)

^c FISHERIES AND OCEANS CANADA   (Canada)

^d PLYMOUTH MARINE LABORATORY   (United Kingdom)

Author keywords

Bayesian network; Biomass prediction; Functional network; Hidden variable; Spatial autocorrelation; Trophic interaction

Indexed keywords

AUTOCORRELATION; BAYESIAN ANALYSIS; BIODIVERSITY; BIOMASS; CLIMATE CHANGE; ENVIRONMENTAL RESPONSE; LEARNING; NETWORK ANALYSIS; PREDATOR-PREY INTERACTION; PREDICTION; SPATIOTEMPORAL ANALYSIS; TROPHIC STRUCTURE;

ATLANTIC OCEAN; NORTH SEA;

EID: 84944889934     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2015.10.003     Document Type: Article

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