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dc.contributor.author
Forrester, David I.
dc.contributor.author
Hobi, Martina L.
dc.contributor.author
Mathys, Amanda S.
dc.contributor.author
Stadelmann, Golo
dc.contributor.author
Trotsiuk, Volodymyr
dc.date.accessioned
2021-08-04T14:25:34Z
dc.date.available
2021-07-15T10:48:10Z
dc.date.available
2021-08-04T14:25:34Z
dc.date.issued
2021
dc.identifier.issn
1612-4677
dc.identifier.issn
1612-4669
dc.identifier.other
10.1007/s10342-021-01370-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/495137
dc.identifier.doi
10.3929/ethz-b-000495137
dc.description.abstract
Process-based forest models are important tools for predicting forest growth and their vulnerability to factors such as climate change or responses to management. One of the most widely used stand-level process-based models is the 3-PG model (Physiological Processes Predicting Growth), which is used for applications including estimating wood production, carbon budgets, water balance and susceptibility to climate change. Few 3-PG parameter sets are available for central European species and even fewer are appropriate for mixed-species forests. Here we estimated 3-PG parameters for twelve major central European tree species using 1418 long-term permanent forest monitoring plots from managed forests, 297 from un-managed forest reserves and 784 Swiss National Forest Inventory plots. A literature review of tree physiological characteristics, as well as regression analyses and Bayesian inference, were used to calculate the 3-PG parameters. The Swiss-wide calibration, based on monospecific plots, showed a robust performance in predicting forest stocks such as stem, foliage and root biomass. The plots used to inform the Bayesian calibration resulted in posterior ranges of the calibrated parameters that were, on average, 69% of the prior range. The bias of stem, foliage and root biomass predictions was generally less than 20%, and less than 10% for several species. The parameter sets also provided reliable predictions of biomass and mean tree sizes in mixed-species forests. Given that the information sources used to develop the parameters included a wide range of climatic, edaphic and management conditions and long time spans (from 1930 to present), these species parameters for 3-PG are likely to be appropriate for most central European forests and conditions.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Forest simulator
en_US
dc.subject
Data assimilation
en_US
dc.subject
Bayesian calibration
en_US
dc.subject
Forest inventory
en_US
dc.subject
Mixed-species forests
en_US
dc.subject
Permanent growth experiments
en_US
dc.title
Calibration of the process-based model 3-PG for major central European tree species
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2021-03-18
ethz.journal.title
European Journal of Forest Research
ethz.journal.volume
5
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Eur J Forest Res
ethz.pages.start
67
en_US
ethz.pages.end
93
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Heidelberg
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-07-15T10:48:48Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-08-04T14:25:41Z
ethz.rosetta.lastUpdated
2022-03-29T10:56:09Z
ethz.rosetta.versionExported
true
ethz.COinS
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