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A data-oriented predictive ecology approach to modelling fish communities during regime shifts

Funder: NERC
Duration: October 2012 - September 2016

People

Name Telephone Email Office
Professor Allan Tucker Professor Allan Tucker
Professor
(Principal investigator)
T: +44 (0)1895 266933
E: allan.tucker@brunel.ac.uk
+44 (0)1895 266933 allan.tucker@brunel.ac.uk Wilfred Brown Building 218

Outputs

Tucker, A., Trifonova, N., Maxwell, D., Pinnegar, J. and Kenny, A. (2017) 'Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model'. ICES Journal of Marine Science, 73 (10). pp. 1334 - 1343. ISSN: 1054-3139 Open Access Link

Journal article

Trifonova, N., Kenny, A., Maxwell, D., Duplisea, D., Fernandes, J. and Tucker, A. (2015) 'Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology'. Ecological Informatics, 30. pp. 142 - 158. ISSN: 1574-9541 Open Access Link

Journal article

Trifonova, N., Duplisea, D., Kenny, A. and Tucker, A. (2014) 'A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries'.Symposium on Intelligent Data Analysis. Brussels. 1 - 1 November. Springer Verlag. pp. 298 - 308. ISSN: 0302-9743 Open Access Link

Conference paper

Trifonova, N., Duplisea, D., Kenny, A., Maxwell, D. and Tucker, A. (2014) 'Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology'.17th International Conference, DS 2014. Bled, Slovenia. 6 - 10 October. Springer International Publishing. pp. 301 - 312. ISSN: 1611-3349 Open Access Link

Conference paper

Brunel University London
Kingston Lane
Uxbridge
Middlesex UB8 3PH

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