Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Discussion papers
https://doi.org/10.5194/bg-2019-292
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-2019-292
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 07 Aug 2019

Submitted as: research article | 07 Aug 2019

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Biogeosciences (BG).

DRIFTS peaks as measured pool size proxy to reduce parameter uncertainty of soil organic matter models

Moritz Laub1, Michael Scott Demyan2, Yvonne Funkuin Nkwain1, Sergey Blagodatsky1, Thomas Kätterer3, Hans-Peter Piepho4, and Georg Cadisch1 Moritz Laub et al.
  • 1Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, 70599 Stuttgart, Garbenstrasse 13, Germany
  • 2School of Environment and Natural Resources, The Ohio State University, Columbus, 2021 Coffey Rd., OH, USA, 43210
  • 3Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Ulls Väg 16, Sweden
  • 4Institute of Biostatistics, University of Hohenheim, 70599 Stuttgart, Fruwirthstr. 23, Germany

Abstract. The initialization of soil organic matter (SOM) turnover models has been a challenge for decades. Instead of using laborious and error prone size-density fractionation SOM pool partitioning, we propose the inexpensive, rapid, and non destructive Diffuse reflectance mid infrared Fourier transform spectroscopy (DRIFTS) technique on bulk soil samples to gain information on SOM pool partitioning from the spectra. Specifically, the DRIFTS stability index, defined as the ratio of aliphatic C-H (2930 cm−1) to aromatic C=C (1620 cm−1) stretching vibrations, was used to divide SOM into fast and slow cycling pools in the soil organic module of the DAISY model. Long-term bare fallow plots from Bad Lauchstädt (Chernozem, 25 years) and the Ultuna frame trial in Sweden (Cambisol, 50 years) were combined with bare fallow plots of 7 years duration in the Kraichgau and Swabian Jura region in Southwest Germany (Luvisols). All fields had been in agricultural use for centuries before fallow establishment, so classical theory would suggest an initial steady state of SOM, which was hence used to compare the performance of DAISY initializations against the newly established DRIFTS stability index. The test was done using two different published parameter sets (2.7 × 10−6 d−1, 1.4 × 10−4 d−1, 0.1 compared to 4.3 × 10−5 d−1, 1.4 × 10−4 d−1, 0.3 for the turnover rates of slow pool, fast pool and humification efficiency, respectively). The DRIFTS initialization of SOM pools significantly reduced model errors of poor performing model runs assuming steady state, irrespective of the turnover rates used, but the faster turnover parameter set fit better to all sites except Bad Lauchstädt. This suggests that soils under long-term agricultural use were not necessarily at steady state. A Bayesian calibration was applied in a next step to identify the best-fitting turnover rates for the DRIFTS stability index in DAISY, both for each site individually and for a combination of all sites. The two approaches which significantly reduced parameter uncertainty and equifinality were: (1) the addition of the physico-chemically based DRIFTS stability index, and (2) combining several sites into one Bayesian calibration, as derived turnover rates can be strongly site specific. The combination of all four sites showed that SOM is likely lost at relatively fast turnover rates with the 95 % credibility intervals of the slow SOM pools half life ranging from 278 to 1095 years, with 426 years as a value of highest probability density. The credibility intervals of this study were consistent with several recently published Bayesian calibrations of similar SOM models, all turnover rates were considerably faster than earlier models suggested. It is therefore likely that published turnover rates understimate the potential loss of SOM.

Moritz Laub et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Moritz Laub et al.
Moritz Laub et al.
Viewed  
Total article views: 222 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
165 55 2 222 8 0 3
  • HTML: 165
  • PDF: 55
  • XML: 2
  • Total: 222
  • Supplement: 8
  • BibTeX: 0
  • EndNote: 3
Views and downloads (calculated since 07 Aug 2019)
Cumulative views and downloads (calculated since 07 Aug 2019)
Viewed (geographical distribution)  
Total article views: 183 (including HTML, PDF, and XML) Thereof 183 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 20 Oct 2019
Publications Copernicus
Download
Short summary
Loss of carbon from the soils to the atmosphere is of major concern. We tested an innovative way to reduce the uncertainty related to the turnover of carbon stored in the soil. With the use of infrared spectra of soils, we were able to better assess the state of the carbon stored in the soil and predict its behavior in bare fallow systems in the timespan of a decade to half a century. The results of this and other recent studies showed, that carbon is lost faster than earlier studies assumed.
Loss of carbon from the soils to the atmosphere is of major concern. We tested an innovative way...
Citation