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dc.contributor.author
Arrouays, Dominique
dc.contributor.author
Saby, Nicolas P.A.
dc.contributor.author
Boukir, Hakima
dc.contributor.author
Jolivet, Claudy
dc.contributor.author
Ratie, Celine
dc.contributor.author
Schrumpf, Marion
dc.contributor.author
Merbold, Lutz
dc.contributor.author
Gielen, Bert
dc.contributor.author
Gogo, Sebastien
dc.contributor.author
Delpierre, Nicolas
dc.contributor.author
Vincent, Gaelle
dc.contributor.author
Klumpp, Katja
dc.contributor.author
Loustau, Denis
dc.date.accessioned
2019-01-28T12:10:41Z
dc.date.available
2018-12-29T03:40:15Z
dc.date.available
2019-01-28T12:10:41Z
dc.date.issued
2018-12
dc.identifier.issn
0236-8722
dc.identifier.issn
2300-8725
dc.identifier.other
10.1515/intag-2017-0047
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/313350
dc.identifier.doi
10.3929/ethz-b-000313350
dc.description.abstract
There is an urgent need for standardized monitoring of existing soil organic carbon stocks in order to accurately quantify potential negative or positive feedbacks with climate change on carbon fluxes. Given the uncertainty of flux measurements at the ecosystem scale, obtaining precise estimates of changes in soil organic carbon stocks is essential to provide an independent assessment of long-term net ecosystem carbon exchange. Here we describe the standard procedure to monitor the soil organic carbon stocks within the footprint of an eddy covariance flux tower, as applied at ecosystem stations of the Integrated Carbon Observation System. The objectives are i) to ensure comparability between sites and to be able to draw general conclusions from the results obtained across many ecosystems and ii) to optimize the sampling design in order to be able to prove changes in time using a reduced number of samples. When sampling a given site at two periods, the objective is generally to assess if changes occurred in time. The changes that can be detected (i.e., demonstrated as statistically significant) depend on several parameters such as the number of samples, the spatial sampling design, and the inherent within-site soil variability. Depending on these parameters, one can define the ‘minimum detectable change’ which is the minimum value of changed that can be statistically proved. Using simulation studies, we address the trade-off between increasing the number of samples and getting lower minimum detectable changes of soil organic carbon stocks.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
De Gruyter
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
ICOS protocol
en_US
dc.subject
soil organic carbon stocks
en_US
dc.subject
sampling design
en_US
dc.subject
SOC measurements
en_US
dc.title
Soil sampling and preparation for monitoring soil carbon
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.date.published
2018-12-14
ethz.journal.title
International Agrophysics
ethz.journal.volume
32
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Int. Agrophysics
ethz.pages.start
633
en_US
ethz.pages.end
643
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
ethz.publication.place
Warsaw
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-12-29T03:40:16Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-01-28T12:10:55Z
ethz.rosetta.lastUpdated
2024-02-02T07:03:07Z
ethz.rosetta.versionExported
true
ethz.COinS
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