Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region
(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.
(Less)
- author
- Minunno, F. ; Peltoniemi, M. ; Launiainen, S. ; Aurela, M. ; Lindroth, A. LU ; Lohila, A. ; Mammarella, I. ; Minkkinen, K. and Mäkelä, A.
- organization
- publishing date
- 2016-12-10
- 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
-
- wos:000387196500005
- scopus:84989885880
- 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
- 2024-07-12 18:20:44
@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}}, keywords = {{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}}, doi = {{10.1016/j.ecolmodel.2016.09.020}}, volume = {{341}}, year = {{2016}}, }