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dc.contributor.author
Portner, Hanspeter
dc.contributor.author
Bugmann, Harald
dc.contributor.author
Wolf, Annett
dc.date.accessioned
2018-09-19T11:39:44Z
dc.date.available
2017-06-09T06:51:01Z
dc.date.available
2018-09-19T11:39:44Z
dc.date.issued
2010
dc.identifier.issn
1726-4170
dc.identifier.issn
1726-4170
dc.identifier.other
10.5194/bg-7-3669-2010
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/25633
dc.identifier.doi
10.3929/ethz-b-000025633
dc.description.abstract
Models of carbon cycling in terrestrial ecosystems contain formulations for the dependence of respiration on temperature, but the sensitivity of predicted carbon pools and fluxes to these formulations and their parameterization is not well understood. Thus, we performed an uncertainty analysis of soil organic matter decomposition with respect to its temperature dependency using the ecosystem model LPJ-GUESS. We used five temperature response functions (Exponential, Arrhenius, Lloyd-Taylor, Gaussian, Van't Hoff). We determined the parameter confidence ranges of the formulations by nonlinear regression analysis based on eight experimental datasets from Northern Hemisphere ecosystems. We sampled over the confidence ranges of the parameters and ran simulations for each pair of temperature response function and calibration site. We analyzed both the long-term and the short-term heterotrophic soil carbon dynamics over a virtual elevation gradient in southern Switzerland. The temperature relationship of Lloyd-Taylor fitted the overall data set best as the other functions either resulted in poor fits (Exponential, Arrhenius) or were not applicable for all datasets (Gaussian, Van't Hoff). There were two main sources of uncertainty for model simulations: (1) the lack of confidence in the parameter estimates of the temperature response, which increased with increasing temperature, and (2) the size of the simulated soil carbon pools, which increased with elevation, as slower turn-over times lead to higher carbon stocks and higher associated uncertainties. Our results therefore indicate that such projections are more uncertain for higher elevations and hence also higher latitudes, which are of key importance for the global terrestrial carbon budget.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Temperature response functions introduce high uncertainty in modelled carbon stocks in cold temperature regimes
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2010-11-15
ethz.journal.title
Biogeosciences
ethz.journal.volume
7
en_US
ethz.journal.issue
11
en_US
ethz.pages.start
3669
en_US
ethz.pages.end
3684
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.notes
Received 8 July 2009, Revised 19 October 2010, Accepted 28 October 2010, Published 15 November 2010.
en_US
ethz.publication.place
Katlenburg-Lindau
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02722 - Institut für Terrestrische Oekosysteme / Institute of Terrestrial Ecosystems::03535 - Bugmann, Harald / Bugmann, Harald
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02722 - Institut für Terrestrische Oekosysteme / Institute of Terrestrial Ecosystems::03535 - Bugmann, Harald / Bugmann, Harald
ethz.date.deposited
2017-06-09T06:51:20Z
ethz.source
ECIT
ethz.identifier.importid
imp59364d3bd3ac953855
ethz.ecitpid
pub:41471
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-19T08:28:12Z
ethz.rosetta.lastUpdated
2021-02-15T01:48:16Z
ethz.rosetta.versionExported
true
ethz.COinS
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