SSSAJ Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 27 October 2006
Published in Soil Sci Soc Am J 70:2164 (2006)
DOI: 10.2136/sssaj2006.0226L
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bruun, S.
Right arrow Articles by Luxhøi, J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Bruun, S.
Right arrow Articles by Luxhøi, J.
Agricola
Right arrow Articles by Bruun, S.
Right arrow Articles by Luxhøi, J.

Comments and Letters to the Editor

Letter to the Editor on "Can Incubations Be Used to Measure Meaningful Pools of Soil Organic Matter?"

Sander Bruun and Jesper Luxhøi

Plant and Soil Science Lab., Dep. of Agricultural Sciences, Royal Veterinary and Agricultural Univ., Thorvaldsensvej 40, DK-1871 Frederiksberg C, Denmark

sab{at}kvl.dk

The question of measuring meaningful pools of soil organic matter (SOM) for use in SOM models has been intensely debated. Recently, Paul et al. (2006) reviewed the literature on the use of acid hydrolysis and long-term incubations for such purposes and concluded that these methods give rise to meaningful SOM pools. In this letter we argue that the success of the incubation method for distinguishing between an active and a slow pool is dependent on the assumption that these pools actually exist.

Considering the large number of chemical compounds present in SOM and the different mechanisms that can protect it, the quality of SOM is probably better described as a quality continuum rather than a number of discrete pools. Paul et al. (2006) suggest that the decay pattern of SOM observed in incubations allows a distinction to be made between an active and a slow pool. However, there are generally difficulties associated with separation of a combination of exponential processes into meaningful components (Van Liew, 1962). Here, we assumed different quality distributions of SOM and interpreted the decay patterns in light of the two-pool concept.

We employed a model describing SOM by a quality distribution. Quality (q) is related directly to decay rate by definition; k(q) = exp(–q). To test the consequences of different conceivable initial SOM distributions, we used a uniform, a bimodal, a trimodal, and two bimodal distributions skewed in either direction (Fig. 1a ). Subsequently, we allowed the distributions to decompose and fitted a two-pool model to the decay pattern.


Figure 1
View larger version (8K):
[in this window]
[in a new window]
 
Fig. 1. (a) The uniform and bimodal distributions as examples of initial SOM distributions used in the analysis; (b) decay pattern of the uniform distribution and a fitted two-pool model (lines are almost indistinguishable).

 
In all the cases we investigated, the two-pool model resulted in very good a fit with R2 values above 0.997 (Table 1). As an example, the fit of the two-pool model to the decomposition of the SOM with an initially uniform quality distribution is shown in Fig. 1b. The very good model fit could lead us to conclude that the material is well described by two pools, but this was also the case where the initial distribution was far from being bimodal with the uniform and trimodal distributions.


View this table:
[in this window]
[in a new window]
 
Table 1. Theoretical fraction of SOM (ft) in the active SOM fraction, parameters and fraction of explained variance (R2) obtained by fitting a two-pool model to the decay pattern of different distributions. The parameters are the fraction of SOM in the active pool (f), the decay rate of the active pool (ka), and the decay rate of the slow pool (ks).

 
In the case of the bimodal distribution, half the SOM was found at either end of the distribution and therefore we expected the model fit to have 0.5 of the SOM in the active pool and 0.5 in the slow pool. The model fit results in 0.42 in the active pool, and therefore it may be argued that the parameters obtained are useful for interpretations. The distribution that was skewed to the right resulted in 0.078 SOM in the active fraction when in fact there is 0.09 in the "fast decay peak" of the distribution. Less satisfying was the fit to the decay pattern of the left-skewed distribution, which resulted in 0.72 SOM in the active pool, when in fact there was 0.91 in the "fast decay peak" of the distribution. In the cases of the uniform and trimodal distributions, we also obtained two pools in the fitting procedure, and these can scarcely be used for useful interpretations.

In conclusion, fitting a two-pool model to incubations is only likely to give rise to meaningful pools of SOM if in fact two pools of SOM exist in the soil. More importantly, however, the good fit of a two-pool model cannot be used as proof of their existence.

Received for publication June 13, 2006.

REFERENCES





This Article
Right arrow Figures Only
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bruun, S.
Right arrow Articles by Luxhøi, J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Bruun, S.
Right arrow Articles by Luxhøi, J.
Agricola
Right arrow Articles by Bruun, S.
Right arrow Articles by Luxhøi, J.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome