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

Minunno, F.; Peltoniemi, M.; Launiainen, S.; Aurela, M.; Lindroth, A. LU ; Lohila, A.; Mammarella, I.; Minkkinen, K. and Mäkelä, A. (2016) In Ecological Modelling 341. p.37-52
Abstract

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,... (More)

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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bayesian statistics, Boreal forest, Eddy-fluxes, Forest modelling, PRELES
in
Ecological Modelling
volume
341
pages
16 pages
publisher
Elsevier
external identifiers
  • scopus:84989885880
  • wos:000387196500005
ISSN
0304-3800
DOI
10.1016/j.ecolmodel.2016.09.020
language
English
LU publication?
yes
id
02d59887-c31d-440d-98d2-ed8375553548
date added to LUP
2016-10-18 08:28:56
date last changed
2017-05-21 04:54:39
@article{02d59887-c31d-440d-98d2-ed8375553548,
  abstract     = {<p>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.</p>},
  author       = {Minunno, F. and Peltoniemi, M. and Launiainen, S. and Aurela, M. and Lindroth, A. and Lohila, A. and Mammarella, I. and Minkkinen, K. and Mäkelä, A.},
  issn         = {0304-3800},
  keyword      = {Bayesian statistics,Boreal forest,Eddy-fluxes,Forest modelling,PRELES},
  language     = {eng},
  month        = {12},
  pages        = {37--52},
  publisher    = {Elsevier},
  series       = {Ecological Modelling},
  title        = {Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region},
  url          = {http://dx.doi.org/10.1016/j.ecolmodel.2016.09.020},
  volume       = {341},
  year         = {2016},
}