Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Default user image.

Anders Lindroth

Professor

Default user image.

Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region

Författare

  • F. Minunno
  • M. Peltoniemi
  • S. Launiainen
  • M. Aurela
  • A. Lindroth
  • A. Lohila
  • I. Mammarella
  • K. Minkkinen
  • A. Mäkelä

Summary, in English

Simple models are less input demanding and their calibration involves a lower number of parameters, however their general applicability to vast areas must be tested. We analysed if a simple ecosystem model (PRELES) can be applied to estimate carbon and water fluxes of Boreal forests at regional scale. Multi-site (M-S) and site-specific (S-S) calibrations were compared using evapotranspiration (ET) and gross primary production (GPP) measurements from 10 sites. The performances of M-S were similar to S-Ss except for a site with agricultural history. Although PRELES predicted GPP better than ET, we concluded that the model can be reliably used at regional scale to simulate carbon and water fluxes of Boreal forests. We further found that, in the calibration, the use of a long and carefully collected flux dataset from one site that covers a wide range of climate variability leads to better model performance in other sites as well.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap
  • BECC: Biodiversity and Ecosystem services in a Changing Climate

Publiceringsår

2016-12-10

Språk

Engelska

Sidor

37-52

Publikation/Tidskrift/Serie

Ecological Modelling

Volym

341

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Ecology
  • Physical Geography

Nyckelord

  • Bayesian statistics
  • Boreal forest
  • Eddy-fluxes
  • Forest modelling
  • PRELES

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0304-3800