Soil organic matter dynamics in density and particle-size fractions following destruction of tropical rainforest and the subsequent establishment of Imperata grassland in Indonesian Borneo using stable carbon isotopes

Yonekura, Yusuke; Ohta, Seiichi; Kiyono, Yoshiyuki; Aksa, Darul; Morisada, Kazuhito; Tanaka, Nagaharu; Tayasu, Ichiro

doi:10.1007/s11104-013-1763-4

Cited by 17 publications

(13 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these factors, soil depth is important in impacting C turnover time of soil fractions. We observed that at the same site, C turnover times of a given soil fraction generally increase with depth, regardless of the estimate method used (Skjemstad et al, 1990;Sch€ oning and K€ ogel-Knabner, 2006;Yonekura et al, 2013;Dalal et al, 2013;Beniston et al, 2014;Liang et al, 2014). This finding is consistent with other studies (Rumpel et al, 2002;Rumpel and K€ ogel-Knabner, 2011;Mathieu et al, 2015).…”

Section: Discussionsupporting

confidence: 90%

“…Variation in C turnover times results from different SOC protection mechanisms associated with soil particles as well as inconsistent methods used to estimate C turnover times (Bird et al, 2002;Tan et al, 2013;Yonekura et al, 2013;Beniston et al, 2014). Physically fractionated soil particles are often obtained according to soil aggregate size or soil texture.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Methodological uncertainty in estimating carbon turnover times of soil fractions

Feng

Shi

Jiang

et al. 2016

Soil Biology and Biochemistry

View full text Add to dashboard Cite

C 14 C Incubation Fraction a b s t r a c t Improving predictions of soil organic carbon (SOC) dynamics by multi-compartment models requires validation of turnover times of different SOC pools. Techniques such as laboratory incubation and isotope analysis have been adopted to estimate C turnover times, yet no studies have systematically compared these techniques and assessed the uncertainties associated with them. Here, we tested whether C turnover times of soil fractions were biased by methodology, and how this changed across soil particle sizes and ecosystems. We identified 52 studies that quantified C turnover times in different soil particles fractionated either according to aggregate size (e.g., macro-versus micro-aggregates) or according to soil texture (e.g., sand versus silt versus clay). C turnover times of these soil fractions were estimated by one of three methods: laboratory incubation (16 studies), d 13 C shift due to C 3 eC 4 vegetation change (25 studies), and 14 C dating (19 studies). All methods showed that C turnover times of soil fractions generally increase with decreasing soil particle size. However, estimates of C turnover times within soil fractions differed significantly among methods, with incubation estimating the shortest turnover times and 14 C the longest. The short C turnover times estimated by incubation are likely due to optimal environmental conditions for microbial decomposition existing in these studies, which is often a poor representation of field conditions. The 13 C method can only be used when documenting a successive C 3 versus C 4 vegetation shift. C turnover times estimated by 14 C were systematically higher than those estimated by 13 C, especially for fine soil fractions (i.e., silt and clay). Overall, our findings highlight methodological uncertainties in estimating C turnover times of soil fractions, and correction factors should be explored to account for methodological bias when C turnover times estimated from different methods are used to parameterize soil C models.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Methodological uncertainty in estimating carbon turnover times of soil fractions

Feng

Shi

Jiang

et al. 2016

Soil Biology and Biochemistry

View full text Add to dashboard Cite

show abstract

“…The POM fractions can be characterized using the distribution of carbon in different soil aggregate sizes (Yonekura et al, 2013). Physical fractionation methods are commonly used because they help in understanding the dynamics, structure and function of POM (Six et al, 2001;Olk & Gregorich, 2006).…”

Section: Introductionmentioning

confidence: 99%

Effects of litter source on the dynamics of particulate organic matter fractions and rates of macroaggregate turnover in different soil horizons

Parwada

Tol

2018

European J Soil Science

View full text Add to dashboard Cite

Summary Soil texture influences the transformation of soil organic matter (SOM), and depletion and reduction in the number of macroaggregates. However, the extent of changes in SOM in response to its quality and mechanisms of stabilization in different types of soil texture is unclear. We evaluated changes in SOM during a 30‐week incubation experiment using seven soils mixed with two sources of litter; Vachellia karroo (Hayne) Banfi & Galasso leaf and Zea mays L. stover. We hypothesized that changes in intraparticulate organic matter (iPOM) are influenced by litter quality • soil type • time interactions, which affect rates of turnover of macroaggregates. A completely randomized design was used in arranging soil jars in the incubator. Free light fractions and coarse and fine iPOM within macroaggregates (>250 μm) decreased exponentially from week 1 to 30 and were significantly (P < 0.05) affected by litter source • soil horizon • time interactions. Trends of changes in fine iPOM fractions were the same in macroaggregates and microaggregates (P < 0.05). The greatest changes in POM fractions occurred 8 weeks after litter incorporation. Both V. karroo leaf and Z. mays stover stabilized macroaggregates during the first 8 weeks after incubation; thereafter they lost their influence. Therefore, we needed to reapply fresh litter after this period. Changes in iPOM fractions and macroaggregate turnover were specific to a soil type, suggesting that different sources of litter have different stabilizing effects in macroaggregates. Soil macroaggregate stabilization and changes in iPOM could be used as indicators to apply more appropriate management practices for soil protection or productivity. Highlights Does the source of organic matter affect transformation rates of different intraparticulate organic matter in the soil? Degradation of organic matter into very fine particulate matter also increases the rate of turnover of macroaggregates. Soil type • litter source interactions greatly influenced the rate of transformation from coarse to fine intraparticulate fractions. Effects of litter quality on dynamics of POM fractions in aggregates and macroaggregate turnover were horizon specific.

show abstract

“…In contrast to the substantial number of studies that have analyzed the surface properties of larger particles, studies on detailed size distributions of surface properties in the soil clay fraction (<2 μm) are rather scarce. Nevertheless, many soil processes are determined by the nature of the clay fraction (Hillel, 1998;Kiem and Kögel-Knabner, 2002;Saggar et al, 1999;Wu et al, 2012;Yonekura et al, 2013). In this size fraction, soil particles within the nanoscale or colloidal range (< 1 μm) are vital and ubiquitous components in natural systems including soils, water, and atmospheric aerosol (Brunekreef and Russell, 2009;Schmidt, 2010).…”

Section: Introductionmentioning

confidence: 99%

Unraveling the size distributions of surface properties for purple soil and yellow soil

Tang

Liu

et al. 2015

Journal of Environmental Sciences

View full text Add to dashboard Cite

Soils contain diverse colloidal particles whose properties are pertinent to ecological and human health, whereas few investigations systematically analyze the surface properties of these particles. The objective of this study was to elucidate the surface properties of particles within targeted size ranges (i.e. > 10, 1-10, 0.5-1, 0.2-0.5 and <0.2 μm) for a purple soil (Entisol) and a yellow soil (Ultisol) using the combined determination method. The mineralogy of corresponding particle-size fractions was determined by X-ray diffraction.We found that up to 80% of the specific surface area and 85% of the surface charge of the entire soil came from colloidal-sized particles (< 1 μm), and almost half of the specific surface area and surface charge came from the smallest particles (< 0.2 μm). Vermiculite, illite, montmorillonite and mica dominated in the colloidal-sized particles, of which the smallest particles had the highest proportion of vermiculite and montmorillonite. For a given size fraction, the purple soil had a larger specific surface area, stronger electrostatic field, and higher surface charge than the yellow soil due to differences in mineralogy.Likewise, the differences in surface properties among the various particle-size fractions can also be ascribed to mineralogy. Our results indicated that soil surface properties were essentially determined by the colloidal-sized particles, and the < 0.2 μm nanoparticles made the largest contribution to soil properties. The composition of clay minerals within the diverse particle-size fractions could fully explain the size distributions of surface properties.

show abstract

Soil organic matter dynamics in density and particle-size fractions following destruction of tropical rainforest and the subsequent establishment of Imperata grassland in Indonesian Borneo using stable carbon isotopes

Cited by 17 publications

References 41 publications

Methodological uncertainty in estimating carbon turnover times of soil fractions

Methodological uncertainty in estimating carbon turnover times of soil fractions

Effects of litter source on the dynamics of particulate organic matter fractions and rates of macroaggregate turnover in different soil horizons

Unraveling the size distributions of surface properties for purple soil and yellow soil

Contact Info

Product

Resources

About