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ORIGINAL RESEARCH article

Front. Environ. Sci., 13 July 2018
Sec. Soil Processes
This article is part of the Research Topic Elucidating Microbial Processes in Soils and Sediments: Microscale Measurements and Modeling View all 24 articles

Soil Microbial Populations Shift as Processes Protecting Organic Matter Change During Podzolization

  • 1Soil Science, Earth and Life Institute, Université Catholique de Louvain, Louvain-La-Neuve, Belgium
  • 2Department of Biological Sciences, Faculty of Sciences, University of Cape Town, Cape Town, South Africa
  • 3TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium
  • 4Department of Geology (WE13), Faculty of Sciences, Ghent University, Ghent, Belgium
  • 5Biogeochemistry and Earth System Modelling, Department of Geosciences, Environment and Society, Université Libre de Bruxelles, Bruxelles, Belgium
  • 6Soil and Water Resources Research, Institute of Geography, Universität Augsburg, Augsburg, Germany
  • 7Isotope Bioscience Laboratory ISOFYS, Ghent University, Ghent, Belgium

In the upper part of the solum of mineral soils, soil organic and mineral constituents co-evolve through pedogenesis, that in turn impacts the transformation and stabilization of soil organic matter (SOM). Here, we assess the reciprocal interactions between soil minerals, SOM and the broad composition of microbial populations in a 530-year chronosequence of podzolic soils. Five pedons, derived from beach sand, are studied. From young to old soils, net acidification parallels mineral dissolution and the formation of eluvial and illuvial horizons. Organo-mineral associations (OMA) accumulate in the illuvial B horizon of the older soils (330–530 years). Apart from contributing to SOM stabilization and protection, organo-mineral compounds progressively fill up interparticle voids. The subsequent loss of porosity leads to horizon induration, decrease of hydraulic conductivity, which promote redoximorphic processes. While recalcitrant SOM is preserved in the topsoil of the old soils, the largest quantity of protected SOM occurs in the indurated, temporalily waterlogged B horizons, through both the OMA accumulation and inhibition of microbial decomposition. SOM protection is thus both time- and horizon-specific. The microbiota also evolve along the chronosequence. Fungi dominate in all horizons of the younger soils and in the topsoil of the older soils, while bacteria prevail in the cemented B horizons of older soils. This shift in microbial community composition is due to the interdependent co-evolution of SOM and minerals during pedogenesis. Our results call for considering the microenvironment and parameters inherent to decomposer microorganisms to understand SOM protection processes in soils.

Introduction

The fate of SOM involves the decomposition of macromolecules into small oxidized and reactive molecules that can interact with the pedogenic products of mineral weathering, and influence their formation (Cotrufo et al., 2013; Basile-Doelsch et al., 2015; Lehmann and Kleber, 2015). Soil microorganisms accomplish 85–90% of SOM processing (Lavelle et al., 1993) and microbial biomass contributes to about 80% of SOM (Simpson et al., 2007; Grandy and Neff, 2008; Liang and Balser, 2011; Schmidt et al., 2011; Miltner et al., 2012). During the initial stages of SOM decomposition, some organic compounds are selectively preserved because of intrinsic molecular-level properties that limit their biodegradation (“recalcitrant” compounds). This represents a short-to-medium term C stabilization process—i.e., years or decades—(Kögel-Knabner et al., 2008a; Marschner et al., 2008; Schmidt et al., 2011). In later stages of SOM decomposition, the microbial biomass and byproducts bind to reactive, mineral clay-sized surfaces (Kögel-Knabner et al., 2008b; Kleber et al., 2015). The resulting OMA and soil micro-aggregates are responsible for the long-term persistence of SOM—i.e., decades to millennia—(Sollins et al., 1996; Baldock and Skjemstad, 2000; von Lützow et al., 2006; Kögel-Knabner et al., 2008b; Kleber et al., 2015).

In soils, microorganisms live in pore spaces. Therein, water content, pore-size distribution and pore inter-connectivity determine to a large extent the chemical conditions. They thus constrain the abundance and activity of microbial habitats (Tisdall and Oades, 1982; Hassink et al., 1993; Chenu and Stotzky, 2002; Six et al., 2004; Totsche et al., 2010; Kuzyakov and Blagodatskaya, 2015). SOM present in pore spaces that are either physically inaccessible or chemically not favorable for microorganisms is per se protected from microbial biodegradation (Hassink et al., 1993; Chenu and Stotzky, 2002; Totsche et al., 2010; Kuzyakov and Blagodatskaya, 2015). In addition, once accessible to microorganisms, SOM can be degraded only if (i) energy costs of enzyme production are paid back by the energy liberated by decomposition reactions, and (ii) microorganisms do not lack other essential nutrients (Neff et al., 2002; Ekschmitt et al., 2005, 2008; Manzoni and Porporato, 2009; Schmidt et al., 2011; Baldock and Broos, 2012).

Understanding complex interactions between OMA and microbial activity thus requires a process-based approach. This study is aimed at (i) assessing the mineralogical changes induced by pedogenesis and the resulting effects on SOM protection, and (ii) relating them with the evolution in microbial community structure.

Soil processes involved in podzolization generate soil horizons characterized by distinct properties in terms of SOM protection: (i) SOM degradation and intense weathering in the surface horizon; (ii) eluviation with percolating water of dissolved organic matter (DOM) complexed with Al and Fe, which will precipitate in soil horizons beneath; (iii) resulting in the formation of secondary mineral phases and OMA accumulation in illuvial horizons. We thus selected a Cambisol-Podzol chronosequence, as it provides an ideal framework to study the mineralogical, physico-chemical and microbial shifts during soil formation. All horizons of this soil chronosequence were analyzed for their microstructure, pore space organization and their in situ organo-mineral associations (OMA). Using chemical extractions, we further characterized those soils for their content in secondary mineral phases and SOM fractions. With respect to SOM, we distinguished three operationally-defined fractions: (1) “oxidizable” C—C oxidized by NaOCl; (2) “mineral-protected” C—C released after dissolution of the minerals by hydrofluoric acid (HF); and (3) “recalcitrant” C—C resistant to both oxidation and HF treatment (Kleber et al., 2005; Mikutta et al., 2005b, 2006; Siregar et al., 2005; von Lützow et al., 2007; Zimmermann et al., 2007; Torn et al., 2009). The microbial populations were characterized by amino-sugar (AS) extractions. AS content provides an estimate of the amount of living and dead microorganisms in soil samples, and is thus a useful biomarker for investigating microbial contribution to SOM (Zhang and Amelung, 1996; Amelung et al., 2001; Glaser et al., 2004; Bodé et al., 2009, 2013). AS occur in living cells, but persist after cell lysis. About 90% of AS is present in microbial residues (Liang et al., 2008; Pronk et al., 2015). In soils, AS are mostly made of glucosamine (Glu), galactosamine (Gal) and muramic acid (Mur) (Bodé et al., 2013). Cell wall of bacteria is made of equal amounts of Mur and Glu while fungal cell walls contain only chitin, a polymer of Glu (Bodé et al., 2009, 2013). Consequently, the Glu:Mur ratio is used as an indicator of the relative contribution of fungi and bacteria to SOM in soil samples (Amelung et al., 2001; Liang et al., 2007). The Glu:Mur ratio of bacteria ranges between <2 and 8 (Amelung et al., 2001), and was estimated around 271 for fungi (Glaser et al., 2004). We complemented this characterization work by performing incubations to measure the potential of SOM to be degraded by microbial heterotrophic activity.

Materials and Methods

Study Site

The podzolic chronosequence is located near Cox Bay on the west coast of Vancouver Island, British Columbia (latitude 49° 6′N, longitude 125° 52′W). The sequence was developed under a temperate rain forest and previously described (Cornelis et al., 2014; Vermeire et al., 2016). Mean annual rainfall and temperature amount to 3,200 mm and 8.9°C, respectively. The age of the deposits ranges from 0 to 530 years (Vermeire et al., 2016). The parent material is the Cox Bay beach sand, exhibiting a uniform sequence of deposits emerging at an annual rate of 0.26 m (Singleton and Lavkulich, 1987). The primary minerals are quartz, sodic plagioclase, amphibole (hornblende), pyroxene (augite), kaolinite, mica (illite) and chlorite (Cornelis et al., 2014). Quartz is by far the dominant mineral. A progressive deepening and differentiation of genetic horizons is observed along the chronosequence (Cornelis et al., 2014).

Vegetation progressively develops with increasing soil age along the sequence from shrubs and trees of Sitka spruce (the dominant tree species) to increasing presence of Douglas fir, Hemlock, Red cedar, Salal and Western sword fern. Five pedons (P1–120 years, P2–175 years, P3–270 years, P4–330 years, and P5–530 years) were selected along a transect (0-147 m length) perpendicular to the present shoreline (Figure 1). The thickness of the Oh horizon increased with age, from 6 and 7 cm thick in P1–120 years and P2–170 years locations, to 12 cm in P3–270 years, and 26 cm in P4–330 years. According to the WRB system (IUSS Working Group, 2015), the pedons key out as Dystric Cambisol at the youngest sites (P1–120 years and P2–175 years), Albic Podzol at the intermediate site (P3–260 years) and Albic Podzols (Placic) at the oldest sites (P4–330 years and P5–530 years). The Albic Podzols (Placic) P4 and P5 are characterized by the following sequence of soil horizons from surface to depth (Cornelis et al., 2014): an eluvial albic E horizon, strongly weathered; an illuvial spodic Bh horizon (enriched in OM); a Bhs horizon, enriched in Fe oxides and OM; a Bs horizon, enriched in short-range-order (SRO) aluminosilicates and Fe oxyhydroxides; a weathered Bw horizon; and a poorly structured BC horizon (Figure 1).

FIGURE 1
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Figure 1. Cross section of the Cox Bay chronosequence, showing site locations, soil horizons, depending on their respective age of soil formation: C-0 years, P1–120 years, P2–175 years, P3–270 years, P4–330 years, and P5–530 years and Kubiëna boxes location (shown in brackets) (modified from Vermeire et al., 2016).

Soil Sampling

Bulk samples were collected in each horizon of each pedon. In addition, selected undisturbed samples were collected using Kubiëna tins (i.e., square metal boxes, usually 8 × 6 × 4 cm in size with two loose covers), in order to conduct micromorphological analysis. In each soil pit, the Kubiëna boxes were inserted into the various horizons and the sample was cut out from the soil profile. This procedure allowed to collect soils without disturbing the local 3D structure. Boxes were retrieved between (1) 0–10 cm depth in the P1 BC1 horizon, (2) 10–20 cm in the P3 Bh horizon, (3) 13–22 cm in the P4 Bh, Bhs and Bs horizons, (4) at 4–13 cm in the P5 E, Bh, Bhs, and Bs horizons. These undisturbed samples were oven-dried at 50–60°C, and subsequently impregnated under vacuum with a cold-setting polyester resin (Benyarku and Stoops, 2005). Covered small thin sections (2.4 × 4.8 cm) were prepared. The thin sections were studied with a polarizing microscope and described using the terminology of Stoops (2003).

Soil Physico-Chemical Characterization

Bulk samples were air-dried and passed through a 2 mm-sieve according to NF ISO 11464 (AFNOR, 2006) before analysis. Soil pH was measured in 5 g:25 ml soil:water suspension (Page et al., 1982). Cation exchange capacity (CEC) and the content of exchangeable cations were determined according to Page et al. (1982), in ammonium acetate 1 M at pH 7 and measured by inductively coupled plasma/atomic emission spectrometry (ICP-AES). Soil particle-size analysis was achieved by quantitative recovery of clay (<2 μm), silt (2–50 μm) and sand (>50 μm) fractions after sonication and dispersion with Na+-saturated resins without any previous H2O2 oxidation of OM, as described in Henriet et al. (2008). Total element contents (Si, Al, Fe, Ca, K, Mg, Na, Ba, Mn, P, Sr, Zr, Ti) were measured by ICP–AES after fusion in Li-metaborate + Li-tetraborate at 1,000°C of crushed (<250 μm) subsample (Chao and Sanzolone, 1992). Soil weathering stage was assessed by computing the Total Reserve in Bases (TRB) as the sum of the total contents of major alkaline (K, Na) and alkaline-earth (Ca, Mg) cations (Herbillon, 1986).

Secondary Si-, Fe-, and Al-bearing phases were studied using selective chemical extractions: sodium pyrophosphate (p) (Bascomb, 1968), dark oxalate (o) (Blakemore et al., 1987), and dithionite-citrate-bicarbonate (DCB, d) (Mehra and Jackson, 1960). Si, Fe, and Al concentrations were measured in “p,” “o,” and “d” extracts by ICP–AES. Alp and Fep are attributed to Al and Fe in organo-metallic complexes. However, this alkaline solution could also extract Al from SRO Al-hydroxide, and Al and Si from SRO aluminosilicates (Schuppli et al., 1983; Kaiser and Zech, 1996). Sio, Alo, and Feo can be attributed to Si, Al, and Fe SRO minerals such as allophanic substances, SRO Al and Fe oxides. Dark oxalate may, however, dissolve lepidocrocite (Poulton and Canfield, 2005) as well as organo-metallic compounds. DCB-extractable Fed is attributed to “free iron,” i.e., Fe occurring in (i) in organo-metallic complexes, (ii) SRO oxides, (iii) crystalline Fe oxides such as hematite and goethite. Thus, “crystalline” Fe is estimated by the difference Fed-Feo. The Fed/Fet ratio (Fet = total iron content) evaluates the relative proportion of free iron in soil and thus reflects soil weathering stage and the evolution of the mineral phases during soil development. However, these assessments must be treated with caution due to partial dissolving side effects of soil minerals.

SOM Fractionation

Total organic carbon and nitrogen concentration (CT, NT) were determined on powdered air-dried soil subsamples by dry combustion with a FLASH 2000 Organic Elemental Analyzer (ThermoFisher Scientific). The distribution of C and N was estimated following the chemical separation procedure of Mikutta et al. (2006). In brief, 3 g of air-dried sample were treated three times with 30 mL of 6 wt% NaOCl adjusted to pH 8.0 for a duration of 6 h at 25°C. Samples were further washed twice with 30 mL 1 M NaCl and with deionized water until the solution was chloride free (AgNO3 testing). The samples were then dried at 60°C and homogenized before C and N measurement on powdered soil subsamples by dry combustion with a FLASH 2000 Organic Elemental Analyzer (ThermoFisher Scientific). The amounts of C and N left after NaOCl treatment are quantified as stable C and N (CS and NS). The “oxidizable” C and N (CO and NO) contents were calculated by subtracting the CS and NS contents from the total C and N content (CT and NT), respectively.

CO=CT-CS    (1)

Within the stable, NaOCl-treated fraction, we distinguished mineral-protected (CMP and NMP) from the recalcitrant (CR and NR) C and N. HF dissolves mineral moieties of OMA, leaving the NaOCl/HF-treated fraction defined as chemically resistant or recalcitrant (Eusterhues et al., 2003; Mikutta et al., 2006). “Recalcitrant” organic substances are supposed to exhibit specific molecular properties that can diminish their degradation (e.g., black C and aliphatic compounds such as n-alkanes and n-fatty acids). Although the dominant controls of SOM stability are environmental and biological (von Lützow et al., 2006; Schmidt et al., 2011), molecular structure of SOM influences its decomposition rate by determining the complexity of the decomposition operation (Kleber, 2010; Barré et al., 2016). Briefly, 2.25 g of NaOCl-treated dry samples were transferred into pre-weighed centrifuge tubes, shaken four times with 15 ml 10% HF for a duration of 2 h and then washed five times with 15 ml deionized water. Between each shaking step, the samples were centrifuged and the supernatant discarded. The solid residues were dried at 60°C, crushed and analyzed for CR and NR on 10 mg subsamples by dry combustion with a FLASH 2000 Organic Elemental Analyzer (ThermoFisher Scientific). The CMP and NMP contents were derived from the difference between CS and NS and CR and NR contents, respectively.

CMP=CS-CR    (2)

At each step of the sequential extraction, the initial and residual sample weights were recorded, but the respective C and N contents were expressed on a bulk soil basis (g kg−1 soil). The C and N contents in the fractions were measured. The values of the SOM C/N ratio were calculated within each fraction (CO/NO, CR/NR, CMP/NMP).

Specific Analysis of Amino-Sugars

AS extraction and analysis were carried out according to Bodé et al. (2009, 2013). Yet, the procedure was slightly adapted: instead of using the cation-exchange resin, we used KOH to precipitate Fe and Al impurities. In short, air-dried soil samples (quantity corresponding to 0.3 mg of N) were hydrolyzed and further dried under vacuum in a Rotavap device. The residues were then re-dissolved in MilliQ water and the pH adjusted to 6.6–6.8 with a KOH solution in order to precipitate impurities (mainly Fe and Al). The solutions were then centrifuged and the AS-containing supernatant was freeze dried. The samples were re-dissolved in methanol and centrifuged, and the supernatant (containing the AS fraction) was then transferred into a 10 ml glass tube. The sample was again dried by volatilizing methanol under a stream of nitrogen gas and then freeze dried. After that, the AS were transformed into aldononitrile derivatives and re-dissolved in ethylacetate/hexane. The concentration of basic AS (glucosamine, galactosamine and muramic acid) in the analytical aliquot was determined by liquid chromatography using the method described by Bodé et al. (2009). The liquid chromatographic separation was performed using an LC pump (Surveyor MS-Pump Plus, Thermo Scientific, Bremen, Germany) mounted with a PA20 CarboPac analytical anion-exchange column (3–150 mm, 6.5 μm) and a PA20 guard column (Thermo Scientific, Bremen, Germany).

Soil Respiration Measurements

After being saturated with deionized water, bulk soil samples from each horizon were equilibrated for 15 days in a pressure plate extractor, to reach a pF of 2.4 (0.25 bar). A quantity equivalent to 40 g of dry soil was transferred into hermetic incubation flasks, containing a 30-mL vial filled with 25 ml of 0.5 M NaOH solution. The CO2 trapped in NaOH was determined by measuring the changes in electrical conductivity of the solution (Rodella and Saboya, 1999). The incubations were conducted in triplicates per soil horizon and lasted 144 days in a temperature-controlled dark room at 20°C. Incubation flasks without soil samples served as controls. The conductivity within the NaOH vials was determined every 3–7 days. Soil-derived CO2 was calculated by subtracting the measured values in the soil-containing flasks with values in the blanks measured at the same time (due to atmospheric CO2). Oxygen was regularly supplied to the incubation by opening the flasks at each measurement time step. The soil samples were kept moist at field capacity by controlling the weight of the incubation flasks and adding deionized water to compensate for the weight loss.

Results

Soil Physico-Chemical Properties

The pHH2O value of the freshly deposited Cox beach sand is 7.7. In P1–120 years and P2–175 years soil pedons, the pHH2O value ranges from 5.8 to 5.9. In P3–270, P4–330, and P5–530 years, from the deepest BC to the surface E horizon, the pHH2O value decreases from 5.4 to 4.6 in P3, from 5.3 to 4.9 in P4, and from 5.1 to 4.4. in P5 (Table 1).

TABLE 1
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Table 1. Soil physico-chemical properties: pHwater, Total Reserve in Bases (TRB), pyrophosphate (p), oxalate (o), DCB (d)-extractable Al, Fe, and Si (values are given ± one standard deviation).

The TRB value of the freshly deposited Cox beach sand is 534 cmolc kg−1. Considering the five pedons (Table 1), the TRB of the deepest BC horizon amounts to (cmolc kg−1) 490 (P1), 368 (P2), 361 (P3), 352 (P4), and 357 in P5. In the surface horizons (P1-BC1, P2-Bw and E in P3, P4, P5), TRB also decreases along the sequence from (cmolc kg−1) 439 (P1) to 430 (P2), 311 (P3), 236 (P4), and 169 (P5).

In P1, P2, and P3, the oxalate extractable contents (in g kg−1) are low: Feo < 2.2, Alo < 1.4 and Sio < 0.17 (Table 1). In contrast, Feo contents are much larger in the Bhs horizon of P4, with 11.6 g kg−1, and P5, with 26.3 g kg−1. Alo contents are also higher in P4 and P5, compared to the three younger profiles, with a maximum of 9.2 g kg−1 in P4-Bhs and 12.6 g kg−1 in P5-Bs. Sio is maximal in P4 and P5-Bs horizons, where it yields 3.5 g kg−1 and 4.5 g kg−1 respectively. Fed contents (g kg−1) are particularly high in P4-Bhs (21.6 g kg−1) and in P5-Bhs (26.1 g kg−1). Pyrophosphate extractable Al and Fe follow the same trends with the largest contents in the Bhs horizons of P4 and P5 (6.7 and 4.1 g kg−1 Alp in P4 and P5 Bhs respectively, and 10.0 and 12.4 g kg−1 Fep in P4 and P5 Bhs respectively).

In P1 and P2, CT content does not vary significantly with depth and is ~ 5.0 g kg−1 (Table 2). In P3, Bh horizon exhibits a CT content reaching 17.8 g kg−1. In P4 and P5, CT further increases in Bh, Bhs and Bs, to reach 25.1 and 43.4 g kg−1 in P4- and P5-Bhs, respectively (Table 2). In P1 and P2, CT content is small and mainly consisting of oxidizable C (~70% of CT, Figure 2). In P3, this oxidizable C fraction is also the largest in all horizons, for example 78% of CT in the Bh. In P4 and P5 horizons, the oxidizable C still represents an important proportion of CT, excepted in P4-Bh (5%) and P5-Bs (7%). CMP content amounts to 11.3, 13.2, and 3.7 g kg−1 soil in P4 Bh, Bhs and Bs respectively and thus accounts for 78, 53, and 28% of the CT. In P5, CMP is 4.3, 15.9 and 7.7 g kg−1 in Bh, Bhs and Bs respectively and thus accounts for 14, 37 and 74% of CT (Table 2 and Figure 2). Recalcitrant C compounds accumulate in the E horizons. CR represents 30 and 29% of CT in P3 and P4 E horizons (4.4 and 2.4 g CR kg−1 soil, respectively) and accounts for 69% of CT in P5 E (10.2 g CR kg−1 soil, Table 2, Figure 2). In the Bw and BC horizons of all soil profiles, recalcitrant C accounts for ~1 g kg−1 soil; probably due to fire-induced pyrogenic organic matter and “black carbon” present in the sedimentary parent material, as observed in the P1 BC1 thin section.

TABLE 2
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Table 2. C fractions: total (CT), Stable (CS), recalcitrant (CR), mineral-protected (CMP), oxidizable (CO), bulk soil SOM CT/NT ratio (values are given ± one standard deviation); soil respiration rates (slope of the cumulative CO2 emission with time, calculated by linear regression, and associated R2-values), and soil respiration rates normalized by the total SOC content (= SOM biodegradability).

FIGURE 2
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Figure 2. (A) C fractions: recalcitrant C (CR, the non-extractable organic carbon after NaOCl and HF treatment), mineral-protected C [CMP, calculated by subtracting the CR fraction from the stable C fraction (CS, carbon left after NaOCl treatment)], oxidizable C [CO, calculated by subtracting Cs from the total C (CT)]. CR + CMP + CO = CT. (B) Al fractions: pyrophosphate-extractable Al (Al-SOM) and Al in short range ordered Al phases (SRO-Al = Alo-Alp). (C) Fe fractions: pyrophosphate-extractable Fe (Fe-SOM), Fe in short range ordered Fe phases (SRO-Fe = Feo-Fep), Fe in crystalline Fe phases (Cr-Fe = Fed-Feo).

Soil Respiration

The cumulative CO2 emission increased linearly over time during the whole experiment (Figure S1 in Supplementary Material). The respiration rates were thus computed from the slope of the linear regression between cumulated emitted CO2 and time (all R2 values were above 0.95). We then normalized the respiration rates to the C content in order to derive the mg CO2-C emitted per g C per day, which indicates the susceptibility of SOM to be degraded (hereafter called “biodegradability,” Table 2). The lowest respiration rates were observed in Bw and BC horizons (~0.13 mg CO2-C 100 gsoil −1 day−1), in which C is below 10 g kg−1 soil, while the highest respiration rates were observed in E and B horizons (~0.23 mg CO2-C 100 gsoil −1 day−1). The inverse trend was observed for the SOM biodegradability. The lowest biodegradability was measured in the Bh, Bhs and Bs horizons (~0.11 mg CO2-C g C −1 day−1), the highest in the Bw-BC horizons (~0.30 mg CO2-C g C−1 day−1) and intermediate biodegradability was measured in E horizons (~0.21 mg CO2-C g C −1 day−1).

Soil Micromorphological Properties

The P1–120 years BC1 horizon presents a coarse monic (only fabric units larger than a given size limit and associated interstitial pores are present) coarse/fine (c/f) -related distribution pattern (Figure 3). Root residues, excrements and charcoal fragments are also observed. The P3–270 years Bh horizon has a similar microstructure. The organic fine material in this horizon results mainly from in situ transformation of plant remains and corresponds to polymorphic material as described by De Coninck et al. (1974). Polymorphic material consists of porous aggregates composed of fine organic material, mineral grains and coarse organic elements with a recognizable cell or tissue structure. Roots are mechanically and biochemically fragmented and transformed by soil mesofauna and microbial activity. These transformations result in multiple forms of degraded plant material, including excrements (De Coninck and Righi, 1969; De Coninck et al., 1974; Buurman and Jongmans, 2005). In the spodic horizons of P4–330 years and P5–530 years, the micromorphological features differ from those in the three younger profiles, mainly because of the accumulation of illuvial organic fine material resulting in a mixture of gefuric (bridges of finer material exist between coarser grains), chitonic (finer material coats the coarser grains) and enaulic (the finer material occurs as small aggregates in the spaces between the coarser grains) c/f-related distribution patterns (Stoops, 2003). This homogeneous, colloidal-sized material with a typical cracking pattern and without coarse organic elements corresponds to monomorphic organic matter (De Coninck et al., 1974; De Coninck, 1980). The cracks were interpreted as desiccation features of strongly hydrated OM gels (Buurman and Jongmans, 2005). The cemented (in the field) spodic (Bhs) horizons show all pores filled with monomorphic material, resulting in a porphyric c/f related distribution pattern. This cementation or massive consistence lead to periodic water stagnation in the field, alternating phases of desiccation and waterlogging, and is common in poorly drained Podzols (Buurman and Jongmans, 2005; Legros, 2007).

FIGURE 3
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Figure 3. Micromorphological observations from thin sections of kubiëna boxes taken in the P1–120 years BC1 horizon, P3–270 years Bh horizon, and P4–330 and P5–530 years Bh, Bhs and Bs horizons.

Evolution of the Microbial Populations

Except in P4, AS content in all pedons is generally the largest in the surface horizon and decreases at depth (Table 3). The lowest AS concentrations were measured in P2–175 years and P4–330 years (maximum value of the pedon: 54.1 and 125.8 μg gsoil −1 in P2 and P4 respectively), the largest in P3–270 years and P5–530 years (maximum value: 332.4 and 490.6 μg gsoil −1 in P3 and P5, respectively), while values in P1–120 years were intermediate (maximum value of the pedon: 172.4 μg gsoil −1). In P1, P2, and P3, the Glu:Mur ratio is above 40 in the whole profile, and reaches 98 in P3 Bh, indicating a fungal-dominated microbiota (Table 3). A Glu:Mur ratio of 89.0 was measured in beech litter (Amelung et al., 2001) and ascribed to fungal-derived Glu. In P4 and P5, the composition of microbiota differs between the topmost E and the underlying horizons. In E horizons the population is fungal-dominated (Glu:Mur = 54.9 in P4-E and 62.2 in P5-E) while deeper horizons have low Glu:Mur ratios (between 13.5 and 25.6 in P4; between 13.9 and 29.2 in P5) reflecting a bacteria-dominated microbiota. The Glu:Mur ratio in Bh, Bhs, Bs, Bw, and BC horizons of P4 and P5 is in the range of the values observed in mineral soils by Amelung et al. (2002) (~18–26) and by Glaser et al. (2004) (~15–24).

TABLE 3
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Table 3. Amino-sugars: Glucosamine (Glu), Galactosamine (Gal), Muramic acids (Mur) content, in μgAS gsoil-1, total Amino-sugar content (μg AS gsoil-1 and mg AS gC-1) and Glu:Mur ratio (values are given ± one standard deviation).

Discussion

Acidification and Accumulation of Secondary Mineral Phases

With increasing soil age, forest development along the chronosequence induces an increasing SOM input from the litter, favored by humid (excess of precipitation over evapotranspiration) climatic conditions, which promote leaching of solutes produced by mineral weathering. The concomitant decrease of pH and TRB values leads to a net acidification, i.e., a decrease of acid-neutralizing capacity (ANC) (van Breemen et al., 1983; Cornu et al., 2009). The litter of Sitka spruce, which is the dominant tree species, is known to produce strong organic acids promoting soil acidification (Lindeburg et al., 2013). The processes of mineral weathering, Al/Fe complexation and mobilization as well as leaching of alkaline and alkaline-earth cations rapidly occur, in less than 60 years, i.e., between P3–270 years and P4–330 years (Vermeire et al., 2016; Fekiacova et al., 2017). Such a timing for incipient podzolization is in agreement with several studies reviewed in Sauer et al. (2008), revealing the formation of a bleached E horizon after about 200–500 years.

The formation and transport of aqueous Al/Fe-OM complexes (i.e., “fulvate theory” from McKeague et al., 1978) has been generally accepted as the dominant process of Al/Fe-OM eluviation (Lundström et al., 2000) that initiate podzolization. Due to their large affinity for Fe and Al, the Fe/Al-OM complexes not only enhance mineral weathering (by decreasing the free Fe3+ and Al3+, hence, favoring dissolution reactions), but also transport Al and Fe at depth (Lundström et al., 2000; van Hees et al., 2000; Kaiser and Kalbitz, 2012; Gangloff et al., 2014). In the chronosequence, the evidence for podzolization is clear: SOM accumulation is relatively large in the illuvial Bh of P3 and keeps increasing in P4 and P5 while Al- and Fe-rich phases occur in P4 and P5 (Tables 1, 2, Figure 2). The main Fe secondary phases in P4 and P5 illuvial horizons are linked to (i) Fep (presumably the Fe-SOM complexes), which is largest in P4-Bhs and P5-Bhs (10.0 and 12.4 g kg−1, 46 and 48% of Fed, respectively); (ii) SRO Fe oxide (i.e., Feo-Fep), which is the dominant Fe phase in P4-Bs (3.2 g kg−1, 87% of Fed) and P5 Bhs and Bs (13.9 and 6.1 g kg−1, 53 and 63% of Fed, respectively) and (iii) crystalline Fe oxide (Fed-Feo), which is largest in P4-Bhs (10.0 g kg−1, 47% of Fed). The SRO Fe-rich secondary phase is probably ferrihydrite (Fe hydroxides) while crystalline Fe minerals are likely to be goethite. Both are known to be the most abundant Fe mineral phases in Podzols (Cornell and Schwertmann, 2003; Eusterhues et al., 2003, 2005). In parallel, the main Al secondary phase in P4 and P5 Bh and Bhs is bound to SOM (i.e., extracted in Alp), which represents 68, 73, 93, and 68% of Alo, in P4-Bh, -Bhs and P5-Bh, -Bhs respectively (6.0, 6.7, 3.0, and 4.1 g kg−1, respectively). In Bs horizons, the main Al secondary phase is a SRO aluminosilicate, likely an “imogolite type material” (ITM) (Farmer et al., 1980). The presence of ITM in P4 and P5 is supported by the several observations: (i) the ratio (Alo-Alp)/Sio is ~ 2 (2.1 in P4 Bs and 2.2 in P5 Bs); (ii) the moderately acidic pH in P4 and P5 (pH > 4.5—Table 1) as ITM would readily dissolved for pH < 4 (Gustafsson et al., 1995; Lundström et al., 1995; Mossin et al., 2002); (iii) the paucity of Al-SOM (Alp represents 19% of Alo, in P4 and P5 Bs) as high levels of those complexes would have hindered the formation of imogolite and proto-imogolite.

Changes in OM Distribution During Soil Development

With increasing soil age, an illuvial Bh-accumulating SOM develops along the chronosequence (Table 2, Figure 2). As pedogenesis proceeds, the SOM composition also changes, as suggested by the evolution of the CT:NT ratio (Table 2, Figure 4) from P1 to P5. In P1, values of CT:NT ratio for both the mineral BC surface and Oh horizons are roughly similar at 30 and 31, respectively. However, in older pedons, the value of the CT:NT ratio in the surface-mineral horizons (Bw in P2 and E in P3, P4 and P5) is lower (~20) than in the Oh horizons (34, 38, 43, respectively in P2-, P3-, and P4-Oh). This decrease of CT:NT ratio might be attributed to an increase of microbially-derived compounds (Schmidt et al., 2000; Kögel-Knabner et al., 2008b; Sollins et al., 2009; Rumpel and Kögel-Knabner, 2011; Miltner et al., 2012). Indeed, the CT:NT ratio of bacteria is around 5–8 and that of fungi around 5–30 (Wallander et al., 2003; Kleber et al., 2007). In the deeper illuvial horizons of P3–P5, a progressive increase of the CT:NT ratio is observed, from 22 in P3-Bh, to 27 in P4-Bhs and 31 in P5-Bhs. In Podzols, an increase of the C:N ratio in the Bh, Bhs and Bs horizons is frequently observed, and a C:N value > 25 in illuvial horizon is considered as a criterion for podzolization (Baize, 1993).

FIGURE 4
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Figure 4. (A) Evolution of the CT/NT ratio of the 5 profiles of increasing age: P1–120 years, P2–175 years, P3–270 years, P4–330 years, and P5–530 years. Evolution of the C/N ratio of the SOM fractions [total (CT/NT), recalcitrant (CR/NR), oxidizable (CO/NO) and mineral-protected (CMP/NMP) carbon fraction], in the four first horizons of P3 (B) and P5 (C) profiles (error bars represent ± one standard deviation).

The composition of SOM fractions evolves along our chronosequence. Recalcitrant C compounds tend to build up in the E horizons from P3 to P5. CR (i.e., the recalcitrant C fraction) represents 30, 29, and 69% of the total C in the E horizon of P3, P4 and P5 respectively (Figure 2) while in parallel, the other main contributing pool of C (i.e., oxidizable C) declines from 58% in P3 to 52% in P4, before reaching 27% of the total C in P5. In P3 and P5 (no data for P4), the low value of the CO:NO ratio (i.e., of the oxidizable C fraction) which is ~6-7, suggests a large microbial contribution (Figure 4). In contrast, the high CR:NR ratio which reaches 47 in P3 and 81 in P5 (Figure 4) suggests an input of organic matter derived from vegetation, possibly from Sitka spruce roots which have a very high C:N, from 50 to 420 (Olajuyigbe et al., 2012). The larger fraction of amino-sugars-derived C (AS in mg.g−1 C—Table 3) in the E horizons compared to the illuvial B horizons also supports an important contribution of microbially-derived compounds to SOM. Buurman et al. (2005) observed similar patterns in a Podzol hydrosequence. In the E horizons of their Podzol, these authors observed that SOM was systematically dominated by (i) recalcitrant plant-derived aliphatic compounds (reflecting residual accumulation) and (ii) easily degradable bacterial products (in particular polysaccharide). In P4 and P5 illuvial Bh, Bhs and Bs horizons, the CMP fraction becomes important (14–78% of CT – Figure 2). The values of the C:N ratio of the different fractions in those horizons are similar to each other and to the one of the bulk C:N (~20–30, Figure 4).

In contrast to the E horizons in P4 and P5 which are very sandy and exhibit high porosity, the deeper B horizons appear to accumulate large amounts of SOM and secondary Fe/Al phases that induce a clogging of pore space, as revealed by micromorphological features, i.e., the porphyric c/f-related distribution pattern (Figure 3). The monomorphic fine organic material filling all pores in the cemented spodic horizons provides evidence of periodic water saturation, and thus anoxic periods. As such, P4 and P5 can be qualified as “hydromorphic” Podzols, in which drainage properties impact OM dynamics and further degradation. According to Buurman and Jongmans (2005), water saturation in hydromorphic Podzols leads to (i) the inaccessibility of the cemented illuvial B horizons for fungi and plant roots, making illuvial DOM the major contributor to SOM accumulation, (ii) the inhibition or slowing of microbial degradation reactions, leading to a low contribution of microbially derived-compounds to SOM.

Microbial Community Shifts With SOM Protection Processes

Early Stage of Soil Development: Limited SOM Stabilization—Fungi-Dominated Population

In P1–120 years and P2–175 years, primary minerals were not weathered extensively, as is evident from the relatively high TRB values (Table 1). Therefore, the content of secondary SRO minerals is low, the potential to form OMA limited and the amount of CMP minimal (Figure 2). The main C fraction in these profiles is oxidizable C (between 40 and 73% of CT), and the degradability of C compounds is relatively large (0.26–0.4 mg CO2-C gC-1 day−1, Table 2). The micromorphological fabric of quartz grains with root residues and excrements in the associated interstitial pores (coarse monic c/f-related distribution pattern in the P1 and P2; Figure 3) indicates a microenvironment that does not constrain biological activity; so SOM can continue to decompose.

The microbial biomass is lower in these young pedons in comparison with the older profiles, as shown by AS-derived C contents (Table 3). In those poorly differentiated profiles, the Glu:Mur ratio is high (>37) and no significant difference was observed at depth, which indicates that the microbiota is dominated by fungi in the whole profile (Table 3, Figure 5).

FIGURE 5
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Figure 5. Evolution of the ratio between glucosamine and muramic acid content (two amino-sugars) in the horizons of the 5 profiles of increasing age (error bars represent ± one standard deviation).

Highly Weathered and Leached Soil Horizons: Selective Preservation of Recalcitrant Compounds—Fungi-Dominated Population

In the E horizons of P3–270, P4–330, and P5–530 years, the effect of mineral weathering is evident, as TRB values steeply decline in comparison with P1–120 and P2–175 years values. Selective extractions reveal a low content of secondary Al-, Fe-bearing phases (Alo < 1.4 g kg−1 and Fed < 2.5 g kg−1, Table 1, Figure 2). Thus, CMP concentration in E horizons is low (< 1.7 g kg−1) and the main mechanism of SOM preservation is probably the intrinsic recalcitrance of organic compounds, which accumulate in those horizons (Figure 2).

As in younger pedons, the microbial biomass is mainly fungi-dominated, i.e., a Glu:Mur ratio of 55–74 (Table 3, Figure 5). Fungi are obligatory aerobes and heterotrophs, more tolerant to acidic conditions and dry events than bacteria (Ekschmitt et al., 2008). Fungi are more abundant in coarse fractions (Kögel-Knabner et al., 2008b) and are generally specialized toward an assimilation of C directly from the litter (for example lignin) (Poll et al., 2006; Ekschmitt et al., 2008). Furthermore, they are the primary agents of litter and SOM decomposition (Beare et al., 1995; Bardgett and van der Putten, 2014; Keiluweit et al., 2015). It is therefore not surprising to observe fungi prevailing in highly weathered and leached E horizons of Podzols (van Breemen et al., 2000a; Nikonov et al., 2001; Gadd, 2007), which are typically aerated and receive large C input from litter decomposition. Under coniferous forests, mineral weathering has been attributed to acidic excreta from saprotrophic and mycorrhizal fungi (Gadd, 2007). In laboratory studies, ectomycorrhizal fungi were shown to accelerate chemical weathering (Bonneville et al., 2011) (i) by an acidification of their near-environment, (ii) oxidization of redox-sensitive elements such as Fe (Bonneville et al., 2016) which induces exfoliation of biotite and (iii) by combining those chemical weathering strategies with mechanical constraints on their mineral substrates (Bonneville et al., 2009). Ectomycorrhizal fungi have also been shown to “drill” innumerable narrow cylindrical micropores (3–10 μm) in minerals and to excrete micro- to milli-molar concentrations of organic acids in fungal tips (Jongmans et al., 1997; van Breemen et al., 2000a; Hoffland et al., 2002; van Hees et al., 2003; Smits et al., 2005; Bonneville et al., 2011, 2016). Tunnel formation in mineral grains was more intense in nutrient-poor sites, indicating a larger contribution of fungi to plant P, Ca, K supply (van Breemen et al., 2000b; Gadd, 2007). Plant-ectomycorrhizal symbiosis has been proposed as a major driving force in the formation of Podzol E horizons (van Breemen et al., 2000a,b). As such, the E horizon has been considered as the “fungal-eaten” part of the soil (Baldock and Broos, 2012).

Subsoil Horizons Accumulating Mineral and Organic Phases: Large Physico-Chemical Ability to Stabilize SOM—Bacteria-Dominated Population

In P4 and P5 illuvial horizons, CMP content is strongly and positively correlated with Fep (r = 0.85), Alp (r = 0.91) and Fed-Fep (r = 0.88) contents, which are proxies for organo-Fe and organo-Al complexes, as well as Fe oxides respectively. Interestingly, the degradability of SOM, measured from respiration rates (Table 2), was the lowest in Bh, Bhs and Bs horizons. Those results support the notion that SOM interactions with Fe and Al phases (which accumulate in these horizons) stabilize SOM and protect it from microbial degradation. This observation is in line with a number of studies on Podzols (Eusterhues et al., 2003; Kalbitz et al., 2005; Mikutta et al., 2005a; von Lützow et al., 2006, 2008; Jones et al., 2015), as well as on other soil types (Kleber et al., 2005; Mikutta et al., 2006; Kaiser and Guggenberger, 2007). Fe oxides have a high specific-surface area, usually positively charged (Eusterhues et al., 2005), which readily adsorb negatively-charged OM. Formation of Fe-C coprecipitates can also occur (Kögel-Knabner et al., 2008b; Mikutta et al., 2008). An inhibition of biological activity due to Fe and Al, bound to the organic matter, was reported in several studies (Boudot et al., 1989; Boudot, 1992; Sollins et al., 1996; Jones and Edwards, 1998; Baldock and Skjemstad, 2000). Amelung et al. (2001) showed, for instance, that Al and Fe oxides decreased the synthesis of bacterial AS by a factor 2. In addition to the physical protection of SOM, P4–330, and P5–530 years illuvial horizons of the chronosequence present a clogged porosity, which—considering the heavy rainfall—favors water saturation and disoxic/anoxic episodes. The resulting decrease in O2 availability would then drastically inhibit the SOM mineralization process. Overall, our results suggest that lower SOM degradation rates in the Bh, Bhs and Bs of P4 and P5 are explained by the mechanisms of adsorption and co-precipitation of SOM with pedogenic secondary minerals. However, we cannot omit the key role of specific soil physico-chemical properties in the environment of the indurated Bhs horizon. Illuvial horizons can be considered as “non-preferred soil spaces” (sensu Ekschmitt et al., 2008), where microbial activity is limited by suboptimal environmental conditions and low nutrient bioavailability caused by SOM association with reactive surfaces of secondary minerals (Schmidt et al., 2011).

Consistent with this idea, a distinct microbial population was identified in the B horizons of P4 and P5. The Glu:Mur ratio of the latter horizons is significantly lower than in the overlaying E horizons, indicating a bacteria-dominated microbiota (Table 3, Figure 5). In the chronosequence, there is no correlation between pH and the Glu:Mur ratio (r2 = 0.041), indicating that other factors drive microbial populations composition. It appears that soil oxygenation status impacts the composition of the microbiota. B horizons which are prone to water saturation are thus less attractive to fungi which are usually highly hydrophobic and water-intolerant due to their aerobic respiration (Slankis, 1974). For instance, mycorrhizal association between fungi and plant roots do not form in waterlogged soils (Theodorou, 1978). This is in line with van Breemen et al. (2000a) who reported a steep decrease of fungal biomass at the transition between E and the B horizons in Podzol. Bacteria require a certain degree of water-saturation and have the capability to quickly adapt to changing chemical conditions by switching electron acceptors [for example from O2 to Fe(III)] when anoxia sets in (Baldock and Skjemstad, 2000; Chenu and Stotzky, 2002; von Lützow et al., 2006; Kögel-Knabner et al., 2008b). In addition, bacteria generally specialize in utilizing labile C compounds for assimilation reactions in deeper horizons (Poll et al., 2006; Ekschmitt et al., 2008). It is thus coherent that bacteria prevail in the cemented spodic horizons of hydromorphic Podzols, receiving DOC illuviated from the topsoil, and in which roots and/or fungi develop poorly. Bacteria are the main drivers of SOM degradation, but they might also have an important impact on the stability of secondary minerals. Among the bacteria that are able to switch to other electron acceptors in anoxic conditions, iron-reducing bacteria can dissolve secondary Fe(III) phases, producing dissolved Fe(II) which can potentially re-precipitate as new secondary phases. This process might have an important impact on illuvial B horizon evolution in Podzols.

Conclusion

Our study objective was to evaluate the co-evolution of SOM protection processes and microbial populations at different stages of soil genesis, in different horizons from five pedons of a podzolic chronosequence.

In the Cox Bay chronosequence, SOM protection processes are constrained in the two younger pedons (P1–120 years and P2–175 years). A weathered eluvial E horizon develops, first observed in P3–270 years, accumulating recalcitrant organic C. In the two well-developed Podzols (P4–330 years and P5–530 years), the accumulation of secondary minerals and associated SOM induces the development of an illuvial B or spodic horizon, cemented and probably undergoing episodic waterlogging. SOM mineralization is hindered in these horizons, due to the formation of OMA and to clogging of soil porosity, leading to a specific low O2 microenvironment. Our study illustrates that SOM stabilization in soils is time- and horizon-specific and, more specifically, pedogenetically dependent (Figure 6).

FIGURE 6
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Figure 6. Evolutions in the organic, physico-chemical and mineral compartments, resulting main SOM protection mechanisms and microorganism population, for the five Vancouver profiles of increasing age (P1-120 years, P2-170 years, P3-270 years, P4-330 years, and P5-530 years).

Soil development and evolution of SOM protection processes along our soil chronosequence induce modifications of the composition of soil microbiota. In the initial stage of pedogenesis (120, 175, and 270 years), fungi are the prevalent group both in topsoil and subsoil. In the older pedons (330 and 530 years), while the topsoil horizons remain fungi-dominated, bacteria dominate in the cemented B horizons where large quantities of SOM are stabilized (Figure 6). We assume that this change in microbial community composition potentially has a feedback effect on SOM dynamics. Below-ground community development and functions are poorly known. The important role played by fungi in the E horizon during podzolization is increasingly recognized. However, the bacterial community and function in the B horizon of hydromorphic Podzols still need to be investigated. Given their potential impact on all aspects of soil development (mineral and SOM evolutions), our understanding of the illuvial horizon dynamics would be enhanced by a characterization of its microbial population and their functions.

Author Contributions

This research is part of the PhD thesis of M-LV, supervised by J-TC and BD. EVR carried out the micromorphological analysis and was involved in the data interpretation. SD supervised the laboratory work for microbial characterization and was involved in the data interpretation. SB helped with data interpretation. All authors participated to the manuscript revision and discussion. All authors agree to be accountable for the content of the work.

Funding

Financial support was provided by the Belgian Fond de la Recherche Scientifique (F.R.S.-FNRS, FRFC project 2.4590.12).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank A. Iserentant and C. Givron [Université Catholique de Louvain (UCL), Belgium] for the analysis with the ICP-AES and help with laboratory work. Les Lavkulich is acknowledged for his help during the fieldwork. We thank the Laboratory of Mineralogy and Petrology (Ghent University) for the thin sections preparation; the Isotope Bioscience Laboratory - ISOFYS (Ghent University) for hosting the amino sugar analysis and S. Bodé for his help with laboratory work and amino sugar measurements.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvs.2018.00070/full#supplementary-material

Figure S1. Cumulative soil respiration (in mg CO2 100 g−1) over the 144 day incubation from soils for the five Vancouver profiles of increasing age (P1–120 years, P2–170 years, P3–270 years, P4–330 years, and P5–530 years). Values are means of triplicate measurements ± standard error.

References

AFNOR (2006). Qualité du sol - Prétraitement des Echantillons pour Analyses Physico-Chimiques. La Plaine Saint-Denis. NF ISO 11464, December 2006.

Amelung, W., Lobe, I., and Du Preez, C. C. (2002). Fate of microbial residues in sandy soils of the South African Highveld as influenced by prolonged arable cropping. Eur. J. Soil Sci. 53, 29–35. doi: 10.1046/j.1365-2389.2002.00428.x

CrossRef Full Text | Google Scholar

Amelung, W., Miltner, A., Zhang, X., and Zech, W. (2001). Fate of microbial residues during litter decomposition as affected by minerals. Soil Sci. 166, 598–606. doi: 10.1097/00010694-200109000-00003

CrossRef Full Text | Google Scholar

Baize, D. (1993). Soil Science Analyses. A Guide to Current Use. Chichester: John Wiley & Sons Ltd.

Google Scholar

Baldock, J. A., and Broos, K. (2012). “Soil organic matter,” in Handbook of Soil Sciences, 2nd, Edn., Vol. 1: Properties and Processes, eds P. M. Huang, Y. Li, and M. E. Sumner (Boca Raton, FL: CRC Press; Taylor & Francis Group), 11.11–11.52.

Google Scholar

Baldock, J. A., and Skjemstad, J. (2000). Role of the soil matrix and minerals in protecting natural organic materials against biological attack. Org. Geochem. 31, 697–710. doi: 10.1016/S0146-6380(00)00049-8

CrossRef Full Text | Google Scholar

Bardgett, R. D., and van der Putten, W. H. (2014). Belowground biodiversity and ecosystem functioning. Nature 515, 505–511. doi: 10.1038/nature13855

PubMed Abstract | CrossRef Full Text | Google Scholar

Barré, P., Plante, A. F., Cécillon, L., Lutfalla, S., Baudin, F., Bernard, S., et al. (2016). The energetic and chemical signatures of persistent soil organic matter. Biogeochemistry 130, 1–12. doi: 10.1007/s10533-016-0246-0

CrossRef Full Text | Google Scholar

Bascomb, C. L. (1968). Distribution of pyrophosphate-extractable iron and organic carbon in soils of various groups. J. Soil Sci. 19, 251–268. doi: 10.1111/j.1365-2389.1968.tb01538.x

CrossRef Full Text | Google Scholar

Basile-Doelsch, I., Balesdent, J., and Rose, J. (2015). Are interactions between organic compounds and nanoscale weathering minerals the key drivers of carbon storage in soils? Environ. Sci. Technol. 49, 3997–3998. doi: 10.1021/acs.est.5b00650

PubMed Abstract | CrossRef Full Text | Google Scholar

Beare, M., Coleman, D., Crossley, D. Jr., Hendrix, P., and Odum, E. (1995). “A hierarchical approach to evaluating the significance of soil biodiversity to biogeochemical cycling” in The Significance and Regulation of Soil Biodiversity, eds H. P. Collins, G. P. Robertson, and M. J. Klug (Dordrecht: Springer), 5–22.

Google Scholar

Benyarku, C. A., and Stoops, G. (2005). Guidelines for Preparation of Rock And Soil Thin Sections and Polished Sections. Departament de Medi Ambient i Ciències del Sòl, Lleida: Universitat de Lleida.

Blakemore, L. C., Searle, P. L., and Daly, B. K. (1987). Methods for Chemical Analysis of Soils. New Zealand Soil Bureau Scientific Report No. 80, Lower Hutt.

Bodé, S., Denef, K., and Boeckx, P. (2009). Development and evaluation of a high-performance liquid chromatography/isotope ratio mass spectrometry methodology for delta13C analyses of amino sugars in soil. Rapid Commun. Mass Spectr. 23, 2519–2526. doi: 10.1002/rcm.4093

PubMed Abstract | CrossRef Full Text | Google Scholar

Bodé, S., Fancy, R., and Boeckx, P. (2013). Stable isotope probing of amino sugars–a promising tool to assess microbial interactions in soils. Rapid Commun. Mass Spectr. 27, 1367–1379. doi: 10.1002/rcm.6586

CrossRef Full Text | Google Scholar

Bonneville, S., Bray, A. W., and Benning, L. G. (2016). Structural Fe(ii) oxidation in biotite by an ectomycorrhizal fungi drives mechanical forcing. Environ. Sci. Technol. 50, 5589–5596. doi: 10.1021/acs.est.5b06178

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonneville, S., Morgan, D. J., Schmalenberger, A., Bray, A., Brown, A., Banwart, S. A., et al. (2011). Tree-mycorrhiza symbiosis accelerate mineral weathering: evidences from nanometer-scale elemental fluxes at the hypha–mineral interface. Geochim. Cosmochim. Acta 75, 6988–7005. doi: 10.1016/j.gca.2011.08.041

CrossRef Full Text | Google Scholar

Bonneville, S., Smits, M. M., Brown, A., Harrington, J., Leake, J. R., Brydson, R., et al. (2009). Plant-driven fungal weathering: early stages of mineral alteration at the nanometer scale. Geology 37, 615–618. doi: 10.1130/G25699A.1

CrossRef Full Text | Google Scholar

Boudot, J., Bel Hadj Brahim, A., Steiman, R., and Seigle-Murandi, F. (1989). Biodegradation of synthetic organo-metallic complexes of iron and aluminium with selected metal to carbon ratios. Soil Biol. Biochem. 21, 961–966. doi: 10.1016/0038-0717(89)90088-6

CrossRef Full Text | Google Scholar

Boudot, J.-P. (1992). Relative efficiency of complexed aluminum noncrystalline Al hydroxide, allophane and imogolite in retarding the biodegradation of citric acid. Geoderma 52, 29–39. doi: 10.1016/0016-7061(92)90073-G

CrossRef Full Text | Google Scholar

Buurman, P., and Jongmans, A. G. (2005). Podzolisation and soil organic matter dynamics. Geoderma 125, 71–83. doi: 10.1016/j.geoderma.2004.07.006

CrossRef Full Text | Google Scholar

Buurman, P., van Bergen, P., Jongmans, A., Meijer, E., Duran, B., and van Lagen, B. (2005). Spatial and temporal variation in podzol organic matter studied by pyrolysis-gas chromatography/mass spectrometry and micromorphology. Eur. J. Soil Sci. 56, 253–270. doi: 10.1111/j.1365-2389.2004.00662.x

CrossRef Full Text | Google Scholar

Chao, T. T., and Sanzolone, R. F. (1992). Decomposition techniques. J. Geochem. Explor. 44, 65–106. doi: 10.1016/0375-6742(92)90048-D

CrossRef Full Text | Google Scholar

Chenu, C., and Stotzky, G. (2002). “Interactions between microorganisms and soil particles: an overview,” in Interactions Between Soil Particles and Microorganisms, eds P. Huang, J. Bollag, and N. Senesi (Manchester: John Wiley & Sons, Ltd.), 1–40.

Google Scholar

Cornelis, J.-T., Weis, D., Lavkulich, L., Vermeire, M.-L., Delvaux, B., and Barling, J. (2014). Silicon isotopes record dissolution and re-precipitation of pedogenic clay minerals in a podzolic soil chronosequence. Geoderma 235–236, 19–29. doi: 10.1016/j.geoderma.2014.06.023

CrossRef Full Text | Google Scholar

Cornell, R. M., and Schwertmann, U. (2003). The Iron Oxides: Structure, Properties, Reactions, Occurrences and Uses. Weinheim: John Wiley & Sons.

Google Scholar

Cornu, S., Montagne, D., and Vasconcelos, P. M. (2009). Dating constituent formation in soils to determine rates of soil processes: a review. Geoderma 153, 293–303. doi: 10.1016/j.geoderma.2009.08.006

CrossRef Full Text | Google Scholar

Cotrufo, M. F., Wallenstein, M. D., Boot, C. M., Denef, K., and Paul, E. (2013). The Microbial Efficiency-Matrix Stabilization (MEMS) framework integrates plant litter decomposition with soil organic matter stabilization: do labile plant inputs form stable soil organic matter? Glob. Chang. Biol. 19, 988–995. doi: 10.1111/gcb.12113

PubMed Abstract | CrossRef Full Text | Google Scholar

De Coninck, F. (1980). Major mechanisms in formation of spodic horizons. Geoderma 24, 101–128. doi: 10.1016/0016-7061(80)90038-5

CrossRef Full Text | Google Scholar

De Coninck, F., and Righi, D. (1969). Aspects micromorphologiques de la podzolisation en Forêt de Rambouillet. Sci. Sol. 2, 57–77.

De Coninck, F., Righi, D., Maucorps, J., and Robin, A. (1974). “Origin and micromorphological nomenclature of organic matter in sandy spodosols,” in Soil Microscopy, ed G. K. Rutherford (Kingston, ON: The Limestone Press), 263–280.

Google Scholar

Ekschmitt, K., Kandeler, E., Poll, C., Brune, A., Buscot, F., Friedrich, M., et al. (2008). Soil-carbon preservation through habitat constraints and biological limitations on decomposer activity. J. Plant Nutr. Soil Sci. 171, 27–35. doi: 10.1002/jpln.200700051

CrossRef Full Text | Google Scholar

Ekschmitt, K., Liu, M., Vetter, S., Fox, O., and Wolters, V. (2005). Strategies used by soil biota to overcome soil organic matter stability—why is dead organic matter left over in the soil? Geoderma 128, 167–176. doi: 10.1016/j.geoderma.2004.12.024

CrossRef Full Text | Google Scholar

Eusterhues, K., Rumpel, C., Kleber, M., and Kögel-Knabner, I. (2003). Stabilisation of soil organic matter by interactions with minerals as revealed by mineral dissolution and oxidative degradation. Org. Geochem. 34, 1591–1600. doi: 10.1016/j.orggeochem.2003.08.007

CrossRef Full Text | Google Scholar

Eusterhues, K., Rumpel, C., and Kogel-Knabner, I. (2005). Organo-mineral associations in sandy acid forest soils: importance of specific surface area, iron oxides and micropores. Eur. J. Soil Sci. 56, 753–763 doi: 10.1111/j.1365-2389.2005.00710.x

CrossRef Full Text | Google Scholar

Farmer, V., Russell, J., and Berrow, M. (1980). Imogolite and proto-imogolite allophane in spodic horizons: evidence for a mobile aluminium silicate complex in podzol formation. J. Soil Sci. 31, 673–684. doi: 10.1111/j.1365-2389.1980.tb02113.x

CrossRef Full Text | Google Scholar

Fekiacova, Z., Vermeire, M., Bechon, L., Cornelis, J., and Cornu, S. (2017). Can Fe isotope fractionations trace the pedogenetic mechanisms involved in podzolization? Geoderma 296, 38–46. doi: 10.1016/j.geoderma.2017.02.020

CrossRef Full Text | Google Scholar

Gadd, G. M. (2007). Geomycology: biogeochemical transformations of rocks, minerals, metals and radionuclides by fungi, bioweathering and bioremediation. Mycol. Res. 111, 3–49. doi: 10.1016/j.mycres.2006.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Gangloff, S., Stille, P., Pierret, M.-C., Weber, T., and Chabaux, F. (2014). Characterization and evolution of dissolved organic matter in acidic forest soil and its impact on the mobility of major and trace elements (case of the Strengbach watershed). Geochim. Cosmochim. Acta 130, 21–41. doi: 10.1016/j.gca.2013.12.033

CrossRef Full Text | Google Scholar

Glaser, B., Turrión, M. B., and Alef, K. (2004). Amino sugars and muramic acid—biomarkers for soil microbial community structure analysis. Soil Biol. Biochem. 36, 399–407. doi: 10.1016/j.soilbio.2003.10.013

CrossRef Full Text | Google Scholar

Grandy, A., and Neff, J. (2008). Molecular C dynamics downstream: the biochemical decomposition sequence and its impact on soil organic matter structure and function. Sci. Total Environ. 404, 297–307. doi: 10.1016/j.scitotenv.2007.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Gustafsson, J., Bhattacharya, P., Bain, D., Fraser, A., and McHardy, W. (1995). Podzolisation mechanisms and the synthesis of imogolite in northern Scandinavia. Geoderma 66, 167–184. doi: 10.1016/0016-7061(95)00005-9

CrossRef Full Text | Google Scholar

Hassink, J., Bouwman, L., Zwart, K., and Brussaard, L. (1993). Relationships between habitable pore space, soil biota and mineralization rates in grassland soils. Soil Biol. Biochem. 25, 47–55. doi: 10.1016/0038-0717(93)90240-C

CrossRef Full Text | Google Scholar

Henriet, C., De Jaeger, N., Dorel, M., Opfergelt, S., and Delvaux, B. (2008). The reserve of weatherable primary silicates impacts the accumulation of biogenic silicon in volcanic ash soils. Biogeochemistry 90, 209–223. doi: 10.1007/s10533-008-9245-0

CrossRef Full Text | Google Scholar

Herbillon, A. J. (1986). “Chemical estimation of weatherable minerals present in the diagnostic horizons of low activity clay soils,” in Proceedings of the 8th International Classification Workshop: Classification, Characterization, and Utilization of Ultisols. Part, I, eds M. N. Beinroth, M. N. Camargo, and H. Eswaran (Rio de Janeiro: EMBRAPA), 39–48.

Google Scholar

Hoffland, E., Giesler, R., Jongmans, T., and van Breemen, N. (2002). Increasing feldspar tunneling by fungi across a north Sweden podzol chronosequence. Ecosystems 5, 11–22. doi: 10.1007/s10021-001-0052-x

CrossRef Full Text | Google Scholar

IUSS Working Group (2015). World Reference Base for Soil Resources (WRB) 2014, Update 2015, International Soil Classification System for Naming Soils and Creating Legends for Soil Maps. World Soil Resources Reports No. 106. Rome: FAO.

Jones, A. R., Sanderman, J., Allen, D., Dalal, R., and Schmidt, S. (2015). Subtropical giant podzol chronosequence reveals that soil carbon stabilisation is not governed by litter quality. Biogeochemistry 124, 205–217. doi: 10.1007/s10533-015-0093-4

CrossRef Full Text | Google Scholar

Jones, D., and Edwards, A. (1998). Influence of sorption on the biological utilization of two simple carbon substrates. Soil Biol. Biochem. 30, 1895–1902. doi: 10.1016/S0038-0717(98)00060-1

CrossRef Full Text | Google Scholar

Jongmans, A., van Breemen, N., Lundström, U., van Hees, P., Finlay, R., Srinivasan, M., et al. (1997). Rock-eating fungi. Nature 389, 682–683. doi: 10.1038/39493

CrossRef Full Text | Google Scholar

Kaiser, K., and Guggenberger, G. (2007). Sorptive stabilization of organic matter by microporous goethite: sorption into small pores vs. surface complexation. Eur. J. Soil Sci. 58, 45–59. doi: 10.1111/j.1365-2389.2006.00799.x

CrossRef Full Text | Google Scholar

Kaiser, K., and Kalbitz, K. (2012). Cycling downwards – dissolved organic matter in soils. Soil Biol. Biochem. 52, 29–32. doi: 10.1016/j.soilbio.2012.04.002

CrossRef Full Text | Google Scholar

Kaiser, K., and Zech, W. (1996). Defects in estimation of aluminum in humus complexes of podzolic soils by pyrophosphate extraction. Soil Sci. 161, 452–458. doi: 10.1097/00010694-199607000-00005

CrossRef Full Text | Google Scholar

Kalbitz, K., Schwesig, D., Rethemeyer, J., and Matzner, E. (2005). Stabilization of dissolved organic matter by sorption to the mineral soil. Soil Biol. Biochem. 37, 1319–1331. doi: 10.1016/j.soilbio.2004.11.028

CrossRef Full Text | Google Scholar

Keiluweit, M., Nico, P., Harmon, M. E., Mao, J., Pett-Ridge, J., and Kleber, M. (2015). Long-term litter decomposition controlled by manganese redox cycling. Proc. Natl. Acad. Sci. U.S.A. 112, E5253–E5260. doi: 10.1073/pnas.1508945112

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleber, M. (2010). What is recalcitrant soil organic matter? Environ. Chem. 7:320. doi: 10.1071/EN10006

CrossRef Full Text | Google Scholar

Kleber, M., Eusterhues, K., Keiluweit, M., Mikutta, C., Mikutta, R., and Nico, P. S. (2015). Chapter one-mineral–organic associations: formation, properties, and relevance in soil environments. Adv. Agron. 130, 1–140. doi: 10.1016/bs.agron.2014.10.005

CrossRef Full Text | Google Scholar

Kleber, M., Mikutta, R., Torn, M. S., and Jahn, R. (2005). Poorly crystalline mineral phases protect organic matter in acid subsoil horizons. Eur. J. Soil Sci. 56, 717–725. doi: 10.1111/j.1365-2389.2005.00706.x

CrossRef Full Text | Google Scholar

Kleber, M., Sollins, P., and Sutton, R. (2007). A conceptual model of organo-mineral interactions in soils: self-assembly of organic molecular fragments into zonal structures on mineral surfaces. Biogeochemistry 85, 9–24. doi: 10.1007/s10533-007-9103-5

CrossRef Full Text | Google Scholar

Kögel-Knabner, I., Ekschmitt, K., Flessa, H., Guggenberger, G., Matzner, E., Marschner, B., et al. (2008a). An integrative approach of organic matter stabilization in temperate soils: linking chemistry, physics, and biology. J. Plant Nutr. Soil Sci. 171, 5–13. doi: 10.1002/jpln.200700215

CrossRef Full Text | Google Scholar

Kögel-Knabner, I., Guggenberger, G., Kleber, M., Kandeler, E., Kalbitz, K., Scheu, S., et al. (2008b). Organo-mineral associations in temperate soils: integrating biology, mineralogy, and organic matter chemistry. J. Plant Nutr. Soil Sci. 171, 61–82. doi: 10.1002/jpln.200700048

CrossRef Full Text | Google Scholar

Kuzyakov, Y., and Blagodatskaya, E. (2015). Microbial hotspots and hot moments in soil: concept and review. Soil Biol. Biochem. 83, 184–199. doi: 10.1016/j.soilbio.2015.01.025

CrossRef Full Text | Google Scholar

Lavelle, P., Blanchart, E., Martin, A., Martin, S., and Spain, A. (1993). A hierarchical model for decomposition in terrestrial ecosystems: application to soils of the humid tropics. Biotropica 25, 130–150. doi: 10.2307/2389178

CrossRef Full Text | Google Scholar

Legros, J. P. (2007). Les Grands sols du Monde. Lausanne: Presses Polytechniques et Universitaires romandes.

Google Scholar

Lehmann, J., and Kleber, M. (2015). The contentious nature of soil organic matter. Nature 528, 60–68. doi: 10.1038/nature16069

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, C., and Balser, T. C. (2011). Microbial production of recalcitrant organic matter in global soils: implications for productivity and climate policy. Nat. Rev. Microbiol. 9, 75–75. doi: 10.1038/nrmicro2386-c1

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, C., Fujinuma, R., and Balser, T. C. (2008). Comparing PLFA and amino sugars for microbial analysis in an Upper Michigan old growth forest. Soil Biol. Biochem. 40, 2063–2065. doi: 10.1016/j.soilbio.2008.01.022

CrossRef Full Text | Google Scholar

Liang, C., Zhang, X., and Balser, T. C. (2007). Net microbial amino sugar accumulation process in soil as influenced by different plant material inputs. Biol. Fertil. Soils 44, 1–7. doi: 10.1007/s00374-007-0170-5

CrossRef Full Text | Google Scholar

Lindeburg, K. S., Almond, P., Roering, J. J., and Chadwick, O. A. (2013). Pathways of soil genesis in the Coast Range of Oregon, USA. Plant Soil 367, 57–75. doi: 10.1007/s11104-012-1566-z

CrossRef Full Text | Google Scholar

Lundström, U. S., van Breemen, N., and Bain, D. (2000). The podzolization process. A review. Geoderma 94, 91–107. doi: 10.1016/S0016-7061(99)00036-1

CrossRef Full Text | Google Scholar

Lundström, U., van Breemen, N., and Jongmans, A. (1995). Evidence for microbial decomposition of organic acids during podzolization. Eur. J. Soil Sci. 46, 489–496. doi: 10.1111/j.1365-2389.1995.tb01345.x

CrossRef Full Text | Google Scholar

Manzoni, S., and Porporato, A. (2009). Soil carbon and nitrogen mineralization: theory and models across scales. Soil Biol. Biochem. 41, 1355–1379. doi: 10.1016/j.soilbio.2009.02.031

CrossRef Full Text | Google Scholar

Marschner, B., Brodowski, S., Dreves, A., Gleixner, G., Gude, A., Grootes, P. M., et al. (2008). How relevant is recalcitrance for the stabilization of organic matter in soils? J. Plant Nutr. Soil Sci. 171, 91–110. doi: 10.1002/jpln.200700049

CrossRef Full Text | Google Scholar

McKeague, J., Ross, G., Gamble, D., and Mahaney, W. (1978). “Properties, criteria of classification and genesis of podzolic soils in Canada,” in Quaternary Soils. Geo Abstracts, ed W. C. Mahaney (Norwich), 27–60.

Mehra, O. P., and Jackson, M. L. (1960). Iron oxide removal from soils and clays by a dithionite-citrate system buffered with sodium bicarbonate. Clays Clay Miner. 7, 317–327. doi: 10.1346/CCMN.1958.0070122

CrossRef Full Text | Google Scholar

Mikutta, C., Mikutta, R., Bonneville, S., Wagner, F., Voegelin, A., Christl, I., et al. (2008). Synthetic coprecipitates of exopolysaccharides and ferrihydrite. Part I: characterization. Geochim. Cosmochim. Acta 72, 1111–1127. doi: 10.1016/j.gca.2007.11.035

CrossRef Full Text | Google Scholar

Mikutta, R., Kleber, M., and Jahn, R. (2005a). Poorly crystalline minerals protect organic carbon in clay subfractions from acid subsoil horizons. Geoderma 128, 106–115. doi: 10.1016/j.geoderma.2004.12.018

CrossRef Full Text | Google Scholar

Mikutta, R., Kleber, M., Kaiser, K., and Jahn, R. (2005b). Review: organic matter removal from soils using hydrogen peroxide, sodium hypochlorite, and disodium peroxodisulfate. Soil Sci. Soc. Am. 69, 120–135. doi: 10.2136/sssaj2005.0120

CrossRef Full Text | Google Scholar

Mikutta, R., Kleber, M., Torn, M. S., and Jahn, R. (2006). stabilization of soil organic matter: association with minerals or chemical recalcitrance? Biogeochemistry 77, 25–56. doi: 10.1007/s10533-005-0712-6

CrossRef Full Text | Google Scholar

Miltner, A., Bombach, P., Schmidt-Brücken, B., and Kästner, M. (2012). SOM genesis: microbial biomass as a significant source. Biogeochemistry 111, 41–55. doi: 10.1007/s10533-011-9658-z

CrossRef Full Text | Google Scholar

Mossin, L., Mortensen, M., and Nørnberg, P. (2002). Imogolite related to podzolization processes in Danish podzols. Geoderma 109, 103–116. doi: 10.1016/S0016-7061(02)00145-3

CrossRef Full Text | Google Scholar

Neff, J., Townsend, A., Gleixner, G., Lehman, S., Turnbull, J., and Bowman, W. (2002). Variable effects of nitrogen additions on the stability and turnover of soil carbon. Nature 419, 915–917. doi: 10.1038/nature01136

PubMed Abstract | CrossRef Full Text | Google Scholar

Nikonov, V., Lukina, N., Polyanskaya, L., and Panikova, A. (2001). Distribution of microorganisms in the Al–Fe–humus podzols of natural and anthropogenically impacted boreal spruce forests. Microbiology 70, 319–328. doi: 10.1023/A:1010459512590

CrossRef Full Text | Google Scholar

Olajuyigbe, S., Tobin, B., Hawkins, M., and Nieuwenhuis, M. (2012). The measurement of woody root decomposition using two methodologies in a Sitka spruce forest ecosystem. Plant Soil 360, 77–91. doi: 10.1007/s11104-012-1222-7

CrossRef Full Text | Google Scholar

Page, J. R., Miller, R. H., Keeney, D. H., Baker, D. E., Roscoe, J. R., and Rhoades, J. D. (eds.). (1982). Methods of Soil Analysis: Part 2, Chemical and Microbiological Properties, 2nd Edn. Madison, WI: Soil Science Society of America.

Poll, C., Ingwersen, J., Stemmer, M., Gerzabek, M. H., and Kandeler, E. (2006). Mechanisms of solute transport affect small-scale abundance and function of soil microorganisms in the detritusphere. Eur. J. Soil Sci. 57, 583–595. doi: 10.1111/j.1365-2389.2006.00835.x

CrossRef Full Text | Google Scholar

Poulton, S. W., and Canfield, D. E. (2005). Development of a sequential extraction procedure for iron: implications for iron partitioning in continentally derived particulates. Chem. Geol. 214, 209–221. doi: 10.1016/j.chemgeo.2004.09.003

CrossRef Full Text | Google Scholar

Pronk, G. J., Heister, K., and Kögel-Knabner, I. (2015). Amino sugars reflect microbial residues as affected by clay mineral composition of artificial soils. Org. Geochem. 83, 109–113. doi: 10.1016/j.orggeochem.2015.03.007

CrossRef Full Text | Google Scholar

Rodella, A., and Saboya, L. (1999). Calibration for conductimetric determination of carbon dioxide. Soil Biol. Biochem. 31, 2059–2060. doi: 10.1016/S0038-0717(99)00046-2

CrossRef Full Text | Google Scholar

Rumpel, C., and Kögel-Knabner, I. (2011). Deep soil organic matter—a key but poorly understood component of terrestrial C cycle. Plant Soil 338, 143–158. doi: 10.1007/s11104-010-0391-5

CrossRef Full Text | Google Scholar

Sauer, D., Schülli-Maurer, I., Sperstad, R., Sørensen, R., and Stahr, K. (2008). Podzol development with time in sandy beach deposits in southern Norway. J. Plant Nutr. Soil Sci. 171, 483–497. doi: 10.1002/jpln.200700023

CrossRef Full Text | Google Scholar

Schmidt, M. W., Knicker, H., and Kogel-Knabner, I. (2000). Organic matter accumulating in Aeh and Bh horizons of a Podzol—chemical characterization in primary organo-mineral associations. Org. Geochem. 31, 727–734. doi: 10.1016/S0146-6380(00)00045-0

CrossRef Full Text | Google Scholar

Schmidt, M. W., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., et al. (2011). Persistence of soil organic matter as an ecosystem property. Nature 478, 49–56. doi: 10.1038/nature10386

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuppli, P., Ross, G., and McKeague, J. (1983). The effective removal of suspended materials from pyrophosphate extracts of soils from tropical and temperate regions. Soil Sci. Soc. Am. J. 47, 1026–1032. doi: 10.2136/sssaj1983.03615995004700050037x

CrossRef Full Text | Google Scholar

Simpson, A. J., Simpson, M. J., Smith, E., and Kelleher, B. P. (2007). Microbially derived inputs to soil organic matter: are current estimates too low? Environ. Sci. Technol. 41, 8070–8076. doi: 10.1021/es071217x

PubMed Abstract | CrossRef Full Text | Google Scholar

Singleton, G. A., and Lavkulich, M. (1987). A soil chronosequence on beach sands, Vancouver Island, British Columbia. Can. J. Soil Sci. 67, 795–810. doi: 10.4141/cjss87-077

CrossRef Full Text | Google Scholar

Siregar, A., Kleber, M., Mikutta, R., and Jahn, R. (2005). Sodium hypochlorite oxidation reduces soil organic matter concentrations without affecting inorganic soil constituents. Eur. J. Soil Sci. 56, 481–490. doi: 10.1111/j.1365-2389.2004.00680.x

CrossRef Full Text | Google Scholar

Six, J., Bossuyt, H., Degryze, S., and Denef, K. (2004). A history of research on the link between (micro)aggregates, soil biota, and soil organic matter dynamics. Soil Tillage Res. 79, 7–31. doi: 10.1016/j.still.2004.03.008

CrossRef Full Text | Google Scholar

Slankis, V. (1974). Soil factors influencing formation of mycorrhizae. Annu. Rev. Phytopathol. 12, 437–457. doi: 10.1146/annurev.py.12.090174.002253

CrossRef Full Text | Google Scholar

Smits, M. M., Hoffland, E., Jongmans, A. G., and van Breemen, N. (2005). Contribution of mineral tunneling to total feldspar weathering. Geoderma 125, 59–69. doi: 10.1016/j.geoderma.2004.06.005

CrossRef Full Text | Google Scholar

Sollins, P., Homann, P., and Caldwell, B. (1996). Stabilization and destabilization of soil organic matter: mechanisms and controls. Geoderma 74, 65–105. doi: 10.1016/S0016-7061(96)00036-5

CrossRef Full Text | Google Scholar

Sollins, P., Kramer, M. G., Swanston, C., Lajtha, K., Filley, T., Aufdenkampe, A. K., et al. (2009). Sequential density fractionation across soils of contrasting mineralogy: evidence for both microbial- and mineral-controlled soil organic matter stabilization. Biogeochemistry 96, 209–231. doi: 10.1007/s10533-009-9359-z

CrossRef Full Text | Google Scholar

Stoops, G. (2003). Guidelines for Analysis and Description of Soil And Regolith Thin Sections. Madison, WI: Soil Science Society of America Inc.

Google Scholar

Theodorou, C. (1978). Soil moisture and the mycorrhizal association of Pinus radiata D. Don. Soil Biol. Biochem. 10, 33–37. doi: 10.1016/0038-0717(78)90007-X

CrossRef Full Text | Google Scholar

Tisdall, J., and Oades, J. M. (1982). Organic matter and water-stable aggregates in soils. J. Soil Sci. 33, 141–163. doi: 10.1111/j.1365-2389.1982.tb01755.x

CrossRef Full Text | Google Scholar

Torn, M., Swanston, C., Castanha, C., and Trumbore, S. (2009). “Storage and turnover of organic matter in soil,” in Biophysico-Chemical Processes Involving Natural Nonliving Organic Matter in Environmental Systems, eds N. Senesi, B. Xing, and P. M. Huang (Hoboken, NJ: Wiley), 219–272.

Google Scholar

Totsche, K. U., Rennert, T., Gerzabek, M. H., Kögel-Knabner, I., Smalla, K., Spiteller, M., et al. (2010). Biogeochemical interfaces in soil: the interdisciplinary challenge for soil science. J. Plant Nutr. Soil Sci. 173, 88–99. doi: 10.1002/jpln.200900105

CrossRef Full Text | Google Scholar

van Breemen, N., Finlay, R., Lundström, U., Jongmans, A. G., Giesler, R., and Olsson, M. (2000b). Mycorrhizal weathering: a true case of mineral plant nutrition? Biogeochemistry 49, 53–67. doi: 10.1023/A:1006256231670

CrossRef Full Text | Google Scholar

van Breemen, N., Lundström, U. S., and Jongmans, A. G. (2000a). Do plants drive podzolization via rock-eating mycorrhizal fungi? Geoderma 94, 163–171. doi: 10.1016/S0016-7061(99)00050-6

CrossRef Full Text | Google Scholar

van Breemen, N., Mulder, J., and Driscoll, C. (1983). Acidification and alkalinization of soils. Plant Soil 75, 283–308. doi: 10.1007/BF02369968

CrossRef Full Text | Google Scholar

van Hees, P. A. W., Lundström, U. S., and Giesler, R. (2000). Low molecular weight organic acids and their Al-complexes in soil solution—composition, distribution and seasonal variation in three podzolized soils. Geoderma 94(2–4), 173-200. doi: 10.1016/S0016-7061(98)00140-2

CrossRef Full Text | Google Scholar

van Hees, P., Godbold, D., Jentschke, G., and Jones, D. (2003). Impact of ectomycorrhizas on the concentration and biodegradation of simple organic acids in a forest soil. Eur. J. Soil Sci. 54, 697–706. doi: 10.1046/j.1351-0754.2003.0561.x

CrossRef Full Text | Google Scholar

Vermeire, M.-L., Cornu, S., Fekiacova, Z., Detienne, M., Delvaux, B., and Cornélis, J.-T. (2016). Rare earth elements dynamics along pedogenesis in a chronosequence of podzolic soils. Chem. Geol. 446, 163–174. doi: 10.1016/j.chemgeo.2016.06.008

CrossRef Full Text | Google Scholar

von Lützow, M., Kögel-Knabner, I., Ekschmitt, K., Flessa, H., Guggenberger, G., Matzner, E., et al. (2007). SOM fractionation methods: relevance to functional pools and to stabilization mechanisms. Soil Biol. Biochem. 39, 2183–2207. doi: 10.1016/j.soilbio.2007.03.007

CrossRef Full Text | Google Scholar

von Lützow, M., Kögel-Knabner, I., Ekschmitt, K., Matzner, E., Guggenberger, G., Marschner, B., et al. (2006). Stabilization of organic matter in temperate soils: mechanisms and their relevance under different soil conditions - a review. Eur. J. Soil Sci. 57, 426–455. doi: 10.1111/j.1365-2389.2006.00809.x

CrossRef Full Text | Google Scholar

von Lützow, M., Kögel-Knabner, I., Ludwig, B., Matzner, E., Flessa, H., Ekschmitt, K., et al. (2008). Stabilization mechanisms of organic matter in four temperate soils: development and application of a conceptual model. J. Plant Nutr. Soil Sci. 171, 111–124. doi: 10.1002/jpln.200700047

CrossRef Full Text | Google Scholar

Wallander, H., Nilsson, L. O., Hagerberg, D., and Rosengren, U. (2003). Direct estimates of C: N ratios of ectomycorrhizal mycelia collected from Norway spruce forest soils. Soil Biol. Biochemi. 35, 997–999. doi: 10.1016/S0038-0717(03)00121-4

CrossRef Full Text | Google Scholar

Zhang, X., and Amelung, W. (1996). Gas chromatograph1c determination of muramic acid, glucosamine, mannosamine, and galactosamine in soils. Soil Biol. Biochem. 28, 1201–1206. doi: 10.1016/0038-0717(96)00117-4

CrossRef Full Text | Google Scholar

Zimmermann, M., Leifeld, J., Abiven, S., Schmidt, M. W., and Fuhrer, J. (2007). Sodium hypochlorite separates an older soil organic matter fraction than acid hydrolysis. Geoderma 139, 171–179. doi: 10.1016/j.geoderma.2007.01.014

CrossRef Full Text | Google Scholar

Keywords: organic matter, microorganisms, amino sugars, carbon fractionation, micromorphology, SOM protection mechanisms, podzol, chronosequence

Citation: Vermeire M-L, Cornélis J-T, Van Ranst E, Bonneville S, Doetterl S and Delvaux B (2018) Soil Microbial Populations Shift as Processes Protecting Organic Matter Change During Podzolization. Front. Environ. Sci. 6:70. doi: 10.3389/fenvs.2018.00070

Received: 27 February 2018; Accepted: 13 June 2018;
Published: 13 July 2018.

Edited by:

Philippe C. Baveye, AgroParisTech Institut des Sciences et Industries du Vivant et de L'Environnement, France

Reviewed by:

Ingo Schöning, Max-Planck-Institut für Biogeochemie, Germany
Jessica M. Furrer, Benedict College, United States

Copyright © 2018 Vermeire, Cornélis, Van Ranst, Bonneville, Doetterl and Delvaux. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Marie-Liesse Vermeire, mlvermeire@gmail.com

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