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| Titel |
Measuring and modeling continuous quality distributions of soil organic matter |
| VerfasserIn |
S. Bruun, G. I. Ågren, B. T. Christensen, L. S. Jensen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 7, no. 1 ; Nr. 7, no. 1 (2010-01-05), S.27-41 |
| Datensatznummer |
250004362
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| Publikation (Nr.) |
 copernicus.org/bg-7-27-2010.pdf |
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| Zusammenfassung |
| An understanding of the dynamics of soil organic matter (SOM) is important
for our ability to develop management practices that preserve soil quality
and sequester carbon. Most SOM decomposition models represent the
heterogeneity of organic matter by a few discrete compartments with
different turnover rates, while other models employ a continuous quality
distribution. To make the multi-compartment models more mechanistic in
nature, it has been argued that the compartments should be related to soil
fractions actually occurring and having a functional role in the soil. In
this paper, we make the case that fractionation methods that can measure
continuous quality distributions should be developed, and that the temporal
development of these distributions should be incorporated into SOM models.
The measured continuous SOM quality distributions should hold valuable
information not only for model development, but also for direct
interpretation. Measuring continuous distributions requires that the
measurements along the quality variable are so frequent that the
distribution approaches the underlying continuum. Continuous distributions
lead to possible simplifications of the model formulations, which
considerably reduce the number of parameters needed to describe SOM
turnover. A general framework for SOM models representing SOM across
measurable quality distributions is presented and simplifications for
specific situations are discussed. Finally, methods that have been used or
have the potential to be used to measure continuous quality SOM
distributions are reviewed. Generally, existing fractionation methods will
have to be modified to allow measurement of distributions or new
fractionation techniques will have to be developed. Developing the
distributional models in concert with the fractionation methods to measure
the distributions will be a major task. We hope the current paper will help
generate the interest needed to accommodate this. |
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