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Method Article

Assessment of Labile Organic Carbon in Soil Using Sequential Fumigation Incubation Procedures

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DOI:

10.3791/54614

October 29th, 2016

In This Article

Summary

Labile organic carbon (LOC) and the potential carbon turnover rate are sensitive indicators of changes in soil nutrient cycling processes. Details are provided for a method based on fumigating and incubating soil in a series of cycles and using the CO2 accumulated during the incubation periods to estimate these parameters.

Abstract

Management practices and environmental changes can alter soil nutrient and carbon cycling. Soil labile organic carbon, a readily decomposable C pool, is highly sensitive to disturbance. It is also the primary substrate for soil microorganisms, which is fundamental to nutrient cycling. Due to these attributes, labile organic carbon (LOC) has been identified as an indicator parameter for soil health. Quantifying the turnover rate of LOC also aids in understanding changes in soil nutrient cycling processes. A sequential fumigation incubation method has been developed to estimate soil LOC and potential C turnover rate. The method requires fumigating soil samples and quantifying CO2-C respired during a 10 day incubation period over a series of fumigation-incubation cycles. Labile organic C and potential C turnover rate are then extrapolated from accumulated CO2 with a negative exponential model. Procedures for conducting this method are described.

Introduction

Due to its vital roles in carbon (C) and nutrient cycling and its sensitivity to soil change, soil LOC is an important parameter to measure as an indicator of soil organic matter quality. Forests and agroecosystems to a large degree depend on the mineralization of nutrients in soil organic matter as a source of nutrients. Management activities can change the pool size and turnover rate of soil organic C, resulting in changes in nutrient supply1. Soil organic C consists of two primary fractions of recalcitrant C, which has turnover rates of several thousand years, and LOC, which has turnover rates from a few weeks to a few years2,3,4. Soil labile ....

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Protocol

1. Collect Soil to Get Samples Representative of Conditions within the Experimental Area and within Experimental Units20

  1. Identify any differences in site properties such as slope and soil properties including texture, bulk density, pH, organic horizon depth, and/or nutrient concentrations. Identify any differences in vegetation type within plots. Use known or published estimates of coefficients of variation for site properties to estimate the number of samples required to attain a pre-specified relative error.
  2. Sample soil using an auger or other collection device in a pattern based on site and experimental unit conditions.
    1. ....

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Results

The SFI method has been used as described in this paper in a series of experiments conducted in the southeastern United States24,25,26,27. Together, these experiments encompassed a variety of vegetation types, including loblolly pine (Pinus taeda L.), switchgrass (Panicum virgatum L.), cottonwood (Populus deltoides Bartram ex Marsh.), and soybean (Glycine max L. Merr.). The method was sensitive at determining differences in LOC and/or potenti.......

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Discussion

The SFI method is an effective protocol for detecting differences in soil LOC and potential C turnover rates over a range of management practices (such as fertilization, tillage, vegetation control, and harvest practices) and soil conditions. Soil LOC content and C turnover rate can be used to understand alterations of nutrient cycles. The SFI method also provides measurement of microbial biomass C from the first fumigation-incubation event. The ability to measure soil LOC, C turnover, and microbial biomass C concurrentl.......

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Disclosures

The authors have nothing to disclose.

Acknowledgements

The authors gratefully acknowledge Michelle Gonzales, Kenny Kidd, Brad Osbon, and all other personnel that conducted the laboratory procedures for these data. The authors are thankful for assistance from Andrew Scott in developing software coding to conduct model-fitting procedures. The authors also appreciate the funding from the U.S. Department of Agriculture National Institute of Food and Agriculture, Sustainable Agriculture and Research & Education, Sun Grant South Central region, and the National Council of Air and Stream Improvement that made possible the studies from which representative results provided in this paper were drawn.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Soil auger sampling kitJMCPN039Several other manufacturers of punch augers are available
ParafilmCurwoodPM999
Aluminum weighing boatsFisherbrand08-732-103
General purpose drying ovenFisher Scientific15-103-0511Many other manufacturers of general purpose laboratory ovens are available
10.5 L vacuum desiccatorCorning3121-250
Glass scintillation vialWheaton968560
Glass threaded vials, 41 mlFisherbrand03-339-21N
Chloroform, stabilized with amylenesSigma-Aldrich67-66-3
Boiling chipsFisher ScientificS25201
Glass rodFisherbrandS63449
Size 10 rubber stopperFisherbrand14-130PRubber stoppers can be purchased as solid and drilled in center to install glass rod or bought with a hole to insert glass rod
Wide-mouth PPCO bottle, 0.5 LThermoScientific3121050016
Sodium hydroxide, reagent gradeSigma-AldrichS5881
Barium chlorideSigma-Aldrich202738
Phenolphthalein indicatorFisher ScientificS25466
Hydrochloric acid solution, 0.1 NFisher ScientificSA54-4

References

  1. Blair, G., et al. Soil carbon fractions based on their degree of oxidation, and the development of a carbon management index for agricultural systems. Aust. J. Agric. Res. 46, 1459-1466 (1995).
  2. Schimel, D. S., et al.

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Tags

Soil Carbon AnalysisMicrobial Biomass CarbonCarbon Dioxide MineralizationChloroform FumigationSoil Incubation ProcedureTitration MethodNon linear RegressionSoil Health Indicator