dc.contributor.author | Kvamsdal, Sturla Furunes | |
dc.contributor.author | Sandal, Leif Kristoffer | |
dc.date.accessioned | 2013-03-12T12:34:38Z | |
dc.date.available | 2013-03-12T12:34:38Z | |
dc.date.issued | 2012-05 | |
dc.identifier.issn | 1500-4066 | |
dc.identifier.uri | http://hdl.handle.net/11250/164195 | |
dc.description.abstract | We demonstrate the power of the Ensemble Kalman Filter in specifying
ecosystem models ideal for bioeconomic analysis. Bioeconomic analysis
requires models to be relatively simple, but models must still capture the
nature and dynamics of the system. With the Ensemble Kalman Filter, we
are able to capture complex dynamics in multispecies models with models
simple enough to allow further bioeconomic analysis. While bioeconomic
analysis has had limited inuence on management decisions, the advent of
new methods and the need for high dimensional ecosystem based manage-
ment models may make bioeconomic research more relevant in the future.
The lter is applied to a ecosystem model of the commercially most im-
portant species in the Barents Sea. The simpler, aggregated stochastic
biomass models capture the complex dynamics of the pelagic stocks on
the level needed for making decisions on for example allowable catches. | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Norwegian School of Economics. Department of Management Science | no_NO |
dc.relation.ispartofseries | Discussion paper;2012:5 | |
dc.subject | ensemble kalman filter | no_NO |
dc.subject | ecosystem management | no_NO |
dc.subject | bioeconomics | no_NO |
dc.subject | aggregated biomass models | no_NO |
dc.title | The ensemble Kalman filter in bioeconomics | no_NO |
dc.type | Working paper | no_NO |
dc.subject.nsi | VDP::Social science: 200::Economics: 210::Business: 213 | no_NO |