The ensemble Kalman filter in bioeconomics
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 cap...
Main Authors: | , |
---|---|
Format: | Report |
Language: | English |
Published: |
Norwegian School of Economics. Department of Management Science
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/11250/164195 |
id |
ftnorgehandelshs:oai:openaccess.nhh.no:11250/164195 |
---|---|
record_format |
openpolar |
spelling |
ftnorgehandelshs:oai:openaccess.nhh.no:11250/164195 2023-05-15T15:38:51+02:00 The ensemble Kalman filter in bioeconomics Kvamsdal, Sturla Furunes Sandal, Leif Kristoffer 2012-05 application/pdf http://hdl.handle.net/11250/164195 eng eng Norwegian School of Economics. Department of Management Science Discussion paper;2012:5 urn:issn:1500-4066 http://hdl.handle.net/11250/164195 ensemble kalman filter ecosystem management bioeconomics aggregated biomass models VDP::Social science: 200::Economics: 210::Business: 213 Working paper 2012 ftnorgehandelshs 2021-10-19T20:05:29Z 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. Report Barents Sea NHH Brage Open institutional repository (Norwegian School of Economics) Barents Sea |
institution |
Open Polar |
collection |
NHH Brage Open institutional repository (Norwegian School of Economics) |
op_collection_id |
ftnorgehandelshs |
language |
English |
topic |
ensemble kalman filter ecosystem management bioeconomics aggregated biomass models VDP::Social science: 200::Economics: 210::Business: 213 |
spellingShingle |
ensemble kalman filter ecosystem management bioeconomics aggregated biomass models VDP::Social science: 200::Economics: 210::Business: 213 Kvamsdal, Sturla Furunes Sandal, Leif Kristoffer The ensemble Kalman filter in bioeconomics |
topic_facet |
ensemble kalman filter ecosystem management bioeconomics aggregated biomass models VDP::Social science: 200::Economics: 210::Business: 213 |
description |
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. |
format |
Report |
author |
Kvamsdal, Sturla Furunes Sandal, Leif Kristoffer |
author_facet |
Kvamsdal, Sturla Furunes Sandal, Leif Kristoffer |
author_sort |
Kvamsdal, Sturla Furunes |
title |
The ensemble Kalman filter in bioeconomics |
title_short |
The ensemble Kalman filter in bioeconomics |
title_full |
The ensemble Kalman filter in bioeconomics |
title_fullStr |
The ensemble Kalman filter in bioeconomics |
title_full_unstemmed |
The ensemble Kalman filter in bioeconomics |
title_sort |
ensemble kalman filter in bioeconomics |
publisher |
Norwegian School of Economics. Department of Management Science |
publishDate |
2012 |
url |
http://hdl.handle.net/11250/164195 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_relation |
Discussion paper;2012:5 urn:issn:1500-4066 http://hdl.handle.net/11250/164195 |
_version_ |
1766370241931116544 |