Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model

Trifonova, NedaMaxwell, DavidPinnegar, JohnKenny, AndrewTucker, Allan2020-05-072020-05-072017-05Trifonova, N, Maxwell, D, Pinnegar, J, Kenny, A & Tucker, 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, vol. 74, no. 5, pp. 1334-1343. https://doi.org/10.1093/icesjms/fsw2311054-3139https://hdl.handle.net/2164/14258We would like to thank Daniel Duplisea from DFO, Canada and Simon Jennings from CEFAS for providing comments and feedback. Johan Van Der Molen from CEFAS for providing the ERSEM model outputs, the ICES DATRAS database for the North Sea IBTS data and Historical Catch Statistics, ICES North Sea Integrated Assessment Working Group (WGINOSE) and the organizations which provide data for the ICES assessment process, in particular SAHFOS who have provided the North Sea plankton data. We gratefully acknowledge the Natural Environment Research Council UK that has funded this research, along with support from the European Commission (OCEAN-CERTAIN, FP7-ENV-2013-6.1-1; no: 603773) for David Maxwell and from CEFAS for Andrew Kenny and David Maxwell10618826engSDG 14 - Life Below WaterBayesian networkfisheries catchspecies dynamicstemperature and productivity scenariosQH301 BiologyNatural Environment Research Council (NERC)OCEAN-CERTAINFP7-ENV-2013-6.1-1European Commission603773Supplementary DataQH301Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network modelJournal article10.1093/icesjms/fsw231745