• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Norges Handelshøyskole
  • Centre for Applied Research at NHH (SNF)
  • Working papers (SNF)
  • View Item
  •   Home
  • Norges Handelshøyskole
  • Centre for Applied Research at NHH (SNF)
  • Working papers (SNF)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Up the Ante on Bioeconomic Submodels of Marine Foodwebs : a data assimilation-based approach

Ekerhovd, Nils-Arne; Kvamsdal, Sturla Furunes
Working paper
Thumbnail
View/Open
workingpaper1314.pdf (1.040Mb)
URI
http://hdl.handle.net/11250/223693
Date
2014-09
Metadata
Show full item record
Collections
  • Working papers (SNF) [809]
Abstract
While economists have discussed ecosystem-based management and similar concepts, little

attention has been devoted to the art of modeling. Models of ecosystems or foodwebs that

make economic analysis viable should capture as much as possible of system structure and

dynamics while balancing biological and ecological detail against dimensionality and model

complexity. Relevant models need a strong, empirical content, but data availability may

inhibit modeling efforts. Models are bound to be nonlinear, and model and observational

uncertainty should be observed. We suggest the data assimilation method ensemble Kalman

filtering to improve modeling of ecosystems or foodwebs. To illustrate the method, we model

the dynamics of the main, pelagic species in the Norwegian Sea. In order to reduce the

parameter dimensionality, the species are modeled to rely on a common carrying capacity.

We also take further methodological steps to deal with a still high number of parameters.

Our best model captures much of the observed dynamics in the fish stocks, but the estimated

model error is moderate.
Publisher
SNF
Series
Working paper;13/14

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit