Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model
| dc.contributor.author | Trifonova, Neda | |
| dc.contributor.author | Maxwell, David | |
| dc.contributor.author | Pinnegar, John | |
| dc.contributor.author | Kenny, Andrew | |
| dc.contributor.author | Tucker, Allan | |
| dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
| dc.date.accessioned | 2020-05-07T13:55:00Z | |
| dc.date.available | 2020-05-07T13:55:00Z | |
| dc.date.issued | 2017-05 | |
| dc.description | We 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 Maxwell | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 10 | |
| dc.format.extent | 618826 | |
| dc.identifier | 157047839 | |
| dc.identifier | 5028f9aa-8611-4fc2-aa8b-365dedaaf2ee | |
| dc.identifier | 85021785516 | |
| dc.identifier.citation | Trifonova, 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/fsw231 | en |
| dc.identifier.doi | 10.1093/icesjms/fsw231 | |
| dc.identifier.iss | 5 | en |
| dc.identifier.issn | 1054-3139 | |
| dc.identifier.uri | https://hdl.handle.net/2164/14258 | |
| dc.identifier.vol | 74 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | ICES Journal of Marine Science | en |
| dc.subject | SDG 14 - Life Below Water | en |
| dc.subject | Bayesian network | en |
| dc.subject | fisheries catch | en |
| dc.subject | species dynamics | en |
| dc.subject | temperature and productivity scenarios | en |
| dc.subject | QH301 Biology | en |
| dc.subject | Natural Environment Research Council (NERC) | en |
| dc.subject | OCEAN-CERTAIN | en |
| dc.subject | FP7-ENV-2013-6.1-1 | en |
| dc.subject | European Commission | en |
| dc.subject | 603773 | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | QH301 | en |
| dc.title | Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model | en |
| dc.type | Journal article | en |
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