Abstract
Background and aims
Elevated atmospheric CO2 (eCO2) can affect microbial decomposition of native soil organic carbon (SOC) via enhanced root exudation and rhizosphere activity. Few studies have examined the effect of eCO2 on the decomposition of newly-added crop residues, which are important to understand below-ground C changes. A soil microcosm experiment was conducted to examine whether eCO2 would enhance the rhizosphere effects on the decomposition of crop residues.
Methods
White lupin (Lupinus albus L. cv. Kiev) was grown for 34 or 62 days under ambient CO2 (aCO2, 400 μmol mol−1) or eCO2 (800 μmol mol−1) in a low-C (2.0 mg g−1) soil which was amended with or without dual 13C and 15N labelled wheat, field pea or canola crop residues. An isotopic tracing technique was adopted to partition residue-derived CO2 from total below-ground CO2 efflux. Two independent groups of data were analysed statistically at either Day 34 or 62.
Results
The presence of white lupin increased the decomposition of all residues at Day 34. This positive rhizosphere effect on residue decomposition decreased and was even reversed at Day 62, probably due to depletion of labile C, or microbial N limitation, or rhizosphere acidification. The eCO2-induced decomposition depended on residue type at Day 34. Specifically, when compared to aCO2, eCO2 did not affect the decomposition of canola residue, increased that of field pea residue by 13.5% but decreased wheat straw decomposition by 7.4%. However, residue decomposition was, on average, 13% higher under eCO2 at Day 62, which was correlated positively with the increase in rhizosphere extractable C (P < 0.01).
Conclusions
Elevated CO2 generally increased residue decomposition in the rhizosphere, but this effect was mediated by residue type at Day 34. Enhanced residue decomposition under legumes at eCO2 may favour C turnover and the release of residue N.
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Introduction
Soil organic carbon (SOC) sequestration has been proposed as an appropriate way to improve soil quality and productivity (Lal 2004; Smith et al. 2012) and to potentially mitigate the increasing CO2 emissions (Meinshausen et al. 2009). The return of crop residues to soils is a technically simple and effective agricultural management practice to achieve this purpose. A fraction of the incorporated residue is stabilised as soil organic matter by physical, chemical, and biochemical mechanisms (Six et al. 2002), with the remaining fraction being lost to the environment via microbial decomposition. The effectiveness of SOC stabilisation depends on the quality and quantity of residues returned to the soil and soil microbial responses. Elevated CO2 (eCO2) could potentially change the rhizosphere environment and therefore microbial parameters, which may further alter the decomposition of soil organic matter including crop residues.
Elevated CO2 is anticipated to alter rhizosphere processes and affect organic matter decomposition in three ways. Firstly, eCO2 could alter both the quantity and quality of root-derived C substances (Phillips et al. 2011; Jia et al. 2014; Butterly et al. 2016; Calvo et al. 2017) which can regulate the microbial processing of other C sources such as crop residues and native SOC. The difference in SOC decomposition induced by plant roots is termed the rhizosphere priming effect (RPE) (Zhu et al. 2014; Nie and Pendall 2016; Wang et al. 2016). Higher priming effects are linked to increased root exudation under eCO2 (Bengtson et al. 2012; Nie and Pendall 2016). Secondly, plants growing under eCO2 often exhibit larger root systems and hence larger rhizosphere volumes (Dijkstra et al. 2009; Nie et al. 2013), which indicates more organic matter would be susceptible to microbial decomposition. Lastly, eCO2 could change the soil environment. For example, eCO2 could induce rhizosphere acidification especially in soils with low pH buffer capacity, possibly via enhanced efflux of carboxylates and/or unbalanced cation-anion uptake by plant roots (Haynes 1990; Guo et al. 2012). Low pH can directly inhibit microbial activity, microbial community size and structure and/or substrate availability (Andersson et al. 2000; Kemmitt et al. 2006; Rousk et al. 2009), leading to decreased decomposition of SOC (Wang et al. 2016; Wang and Tang 2018). Soil moisture could also be altered by eCO2 due to improvement in plant water-use efficiency (Cruz et al. 2016). Although several studies have examined the effect of eCO2 on SOC decomposition (Cheng and Johnson 1998; Nie and Pendall 2016; Xu et al. 2017, 2018), the eCO2-induced changes in the rhizosphere on residue decomposition received less attention. Apart from rhizosphere responses, distinctive types of crop residues differ intrinsically in properties like N concentration and C complexity which may affect the decomposition under eCO2. High N could potentially ease microbial N constraints (Drake et al. 2013) and labile C is easier to decompose than chemically-complex compounds (Ruiz-Dueñas and Martínez 2009).
Many incubation experiments have been performed to examine the decomposition of residues and associated mechanisms from perspectives of residue chemistry, soil N availability as well as soil microbial activity and function (van Groenigen et al. 2005; Marx et al. 2007; Grosso et al. 2016). However, such experiments may not reflect the actual decomposition of residues in the field because plants being able to affect the physical, chemical and biological environments of soil (Cheng and Kuzyakov 2005; Pregitzer et al. 2007; Wang et al. 2016) have been excluded. Therefore, there is a need to study residue decomposition in the presence of plants-i.e. the rhizosphere effect on residue decomposition.
Plants actively secrete root exudates into rhizosphere soil, which could affect soil C dynamics. Approximately 11–17% of photo-assimilates are distributed below-ground as root exudates (Nguyen 2003; Jones et al. 2009). Soil microbes utilise such C substrates for respiration and biomass production, and the subsequent turnover of microbial biomass helps to build up SOC (Lloyd et al. 2016). Moreover, root exudates can also fuel soil microbes to decompose other C sources (e.g. crop residues and native SOC). Previous studies have demonstrated that the RPE on SOC decomposition can be stimulated by up to 380% and repressed by 50% (Zhu et al. 2014), depending on plant species, soil properties and environmental parameters (Huo et al. 2017; Xu et al. 2017, 2018). The positive RPEs are mostly explained by ‘co-metabolism’ (Kuzyakov et al. 2000) and ‘microbial N mining’ (Kuzyakov and Xu 2013), while ‘preferential substrate utilization’ and ‘nutrient competition’ (Cheng and Kuzyakov 2005) account for the negative RPEs. However, it is still largely unknown whether the presence of rhizosphere of growing plants affects the decomposition of crop residues and how it interacts with eCO2.
The aim of this study was to examine the eCO2-induced changes in rhizosphere effect on the decomposition of different crop residues using a stable 13C isotopic tracing technique. White lupin was selected as the test plant for its strong capability of root exudation (Weisskopf et al. 2008). Dual 13C and 15N-labelled wheat, field pea and canola residues were mixed with a Tenosol before sowing. Below-ground CO2 efflux was measured and residue-derived CO2-C was partitioned at 34 and 62 days after sowing. We hypothesized that the rhizosphere effect on residue decomposition would be greater for residues with low than high C-to-N ratios and that eCO2 would further enhance the rhizosphere effect on the residue decomposition.
Materials and methods
Soil description
Subsurface soil (10–30 cm) of a Tenosol (Isbell and NCST 2016) was collected from a grass pasture. The soil was air-dried, sieved to pass a 2-mm sieve with plant roots and gravels removed, and then thoroughly mixed. The soil was selected for its low SOC and N content, and a similar 13C abundance to the roots of white lupin. A preliminary experiment showed that a low amount of CO2 (< 2.7 μg C g−1 soil d−1, which was only 6% of total below-ground CO2 efflux) had been released from this soil when amended with crop residues. The plant- and soil-derived CO2 was integrated as one pool with the same 13C abundance, which could further be discriminated from CO2 derived from 13C-enriched residues. The soil is a sandy loam (sand 81%, silt 6%, clay 13%, Butterly et al. 2013). Other basic properties were: pH 6.2 (1:5 w/v in 0.01 M CaCl2), pH buffer capacity 6.0 mmolc kg−1 pH −1, SOC 1.8 mg g−1, total N 0.28 mg g−1, K2SO4-extractable inorganic N 10.5 μg g−1 and δ13C -25.6‰ PDB. Soil was supplied with the following basal nutrients before the experiment (μg g−1): KH2PO4, 180; K2SO4, 120; CaCl2.2H2O, 180; MgSO4.7H2O, 50; MnSO4.H2O, 15; ZnSO4.7H2O, 8; CuSO4.5H2O, 6; FeEDTA, 1.3; CoCl2.6H2O, 0.4; Na2MoO4.2H2O, 0.4.
Crop residues
Dual 13C and 15N-labelled plant materials (wheat, field pea and canola shoot residues) were generated as described in Butterly et al. (2015). Briefly, wheat (Triticum aestivum L.), field pea (Pisum sativum L.) and canola (Brassica napus L.) plants were fertilized with 15N-labelled Ca(15NO3)2 (20% atom excess) and pulse-labelled 7 times with 13CO2 by injecting 12 ml of 9.2 M H2SO4 into 90 ml of 1.23 M Na213CO3 (98% atom excess) throughout the growing season. At maturity, plant shoots were collected, oven-dried at 70 °C and finely ground (< 2 mm). Basic chemical properties of the residues were listed in Table 1.
Experimental design
Plants of white lupin (Lupinus albus L. cv. Kiev) were grown in bottom-capped polyvinyl chloride (PVC) columns (height 40 cm, diameter 7.5 cm). Each of the columns had an air-inlet and air-outlet tubing at the top and bottom of the column. Wheat, field pea or canola residues were mixed with 1.5 kg of soil at a rate of 5 mg g−1 soil and packed into soil columns. Two hundred grams of plastic beads were enclosed in nylon mesh (pore size 45 μm) and placed at the bottom of each column before adding the soil and residue mixture to facilitate CO2 trapping and to prevent the anaerobic condition. The soil was re-wetted to 80% field capacity with reverse osmosis water and allowed to equilibrate overnight.
Four pre-germinated seeds of white lupin were inoculated with a lupin rhizobial inoculant (EasyRhiz, New-Edge Microbials, Albury, Australia) and sown to a 2-cm depth in a line into each column. The planted columns were then transferred into four growth cabinets (SGC 120, Fitotron, Loughborough, UK) with two receiving elevated CO2 (eCO2, 800 ± 30 μmol mol−1, within the range of published studies) and the other two receiving ambient CO2 (aCO2, 400 ± 15 μmol mol−1). All growth cabinets were set at temperature regimes of 18 °C night (10 h) and 22 °C day (14 h) and relative humidity of 60%. The photosynthetic active photon flux density at the plant canopy was approximately 350 μmol m−2 s−1. The columns were weighed and kept at 80% field capacity by adding reverse osmosis water daily. Plants were thinned to two seedlings per column two weeks from sowing. The columns were randomly reallocated within the two replicated growth cabinets weekly to ensure homogenous growing conditions. No additional fertiliser was applied throughout the experiment.
Overall this experiment consisted of two CO2 concentrations, three residues and six replicates being separated into two harvests with the first one at 34 days after sowing (Day 34) and the second one at 62 days after sowing (Day 62). To ensure four replicates for below-ground CO2 collection at each harvest, only two replicate columns were destructively harvested for soil and plant measurements at Day 34. Additionally, three sets of controls were included: two columns without residue amendment or plant growth were included at each CO2 concentration as the control; no-residue but planted soil columns were set as the no-residue control with two replicates for each CO2 concentration at Day 34 and four at Day 62; and unplanted columns with residue amendments in duplicate were also included for each CO2 concentration as the no-plant control.
Because the residues might not be uniformly labelled and microbial discrimination might occur (Zhu and Cheng 2011), the 13C abundances of the residues might thus change over the decomposing processes, leading to variations in the 13C abundances of the residues and the residue-derived CO2. To minimise such an effect when partitioning residue-derived CO2 from total below-ground CO2, we used the 13C abundances of residue-derived CO2 from a concurrent incubation experiment other than the original 13C abundances of the residues. The incubation experiment was conducted under the same conditions except that there is no headspace CO2 treatment. Briefly, 40 g of sands were firstly mixed with pre-incubated Tenosol soil at a rate of 50 mg g−1 soil for microbial inoculation and then amended with one of the three residues. After adjusting the water content to 80% field capacity, the sand and residue mixtures were placed into 1-L Mason jars. To maintain the moisture, a vial with 8 ml of Milli-Q water was included. The CO2 released was trapped in 8 ml of 1 M NaOH solution. The NaOH traps were replaced with new ones every week for 9 weeks. Two ml of the trapped solution at the end of the fourth and ninth week was added with 0.5 M SrCl2 to form precipitates for the quantification of 13C abundance of the respired CO2, which was used to represent the 13C abundance of crop residues at each time point (Table 2).
Below-ground CO2 trapping
At Days 34 and 62 (representing the early vegetative and early flowering stage respectively), the tops of the columns were enclosed with two clear PVC plates around plant stems, and the open spaces were sealed with Blu-tack (Bostik, Thomastown, Australia) (Wang et al. 2016, Fig. S1). The seal was checked by vacuuming CO2-free air through each column into a 150-ml NaOH solution (1 M). No air leak was indicated if the bubbles formed in the solution were stable and consistent before and after pressing the adhered area.
Before trapping, the initial CO2 inside soil pores was removed by pumping CO2-free air through all soil columns for 30 min. The CO2 generated inside the column during a 48-h period was then trapped into 150 ml of 0.5 M NaOH solution by pumping and vaccuming CO2-free air through each column. Total below-ground CO2 was trapped 30 min at each time and three times per day with a 6-h interval between 9:00 am and 11:00 pm. To determine the total CO2 trapped, a subsample of the NaOH trap was firstly added with 0.5 M BaCl2 standard solution to precipitate the carbonate and the excessive NaOH was back-titrated with 0.25 M HCl using the phenolphthalein indicator. Another subsample of the trapping solution was mixed with excessive 0.25 M SrCl2 to form SrCO3 precipitates (Cheng and Johnson 1998) at a pH of 7.0 to prevent the formation of Sr(OH)2. The precipitates were rinsed and centrifuged three times with Milli-Q water before being oven-dried at 70 °C. The 13C abundance of the SrCO3 precipitate was analysed by an Isotope Ratio Mass Spectrometer (‘IRMS’, SerCon Hydra 20–22, Crewe, UK).
Plant and soil analyses
After each CO2 trapping, plants were harvested and rhizosphere soils were sampled. The rhizosphere soil is of particular interest as it has high microbial abundance, diversity and growth rate due to root exudation (Blagodatskaya et al. 2014). Plant shoots were cut at the soil surface and roots were collected on a 2-mm soil sieve after collecting the rhizosphere soil. Roots were then washed and scanned with an EPSON EU-35 Scanner (Seiko Epson Corp, Suwa, Japan) with root length being generated from a WinRHIZO STD 1600+ Image Analysis System (Regent Instruments, Quebec City, Canada). Shoots and root materials were oven-dried at 70 °C for 48 h to determine dry mass.
Immediately after sampling, rhizosphere soil respiration was determined to reflect rhizosphere soil microbial activity (Wang et al. 2016) by incubating 10 g of fresh rhizosphere soil at 25 °C for 12 h and measuring the microbial respiration at the end of the period using a Servomex 4210 Industrial Gas Analyser (Servomex, Crowborough, UK). The fumigation-extraction method (Brookes et al. 1985) was adopted to determine microbial biomass C and N (MBC and MBN) in fresh rhizosphere soil. Briefly, 8 g of soil was extracted with 40 ml of 0.5 M K2SO4 solution and the extract was filtered with Whatman no. 42 filter paper and stored at −20 °C for further analysis. Another 8 g of soil was fumigated in dark with chloroform for 24 h, and then extracted and filtered with the same procedure. The soil extracts were analysed for extractable organic carbon (EOC) using a TOC Analyser (GE Sievers InnovOx, Boulder, USA). The MBC was calculated as the differences in EOC concentrations between the fumigated and non-fumigated samples with a conversion factor of 0.45 (Vance et al. 1987). The soil extracts were also analysed for NH4+ and NO3− using a Flow-Injection Analysis System (‘FIA’, Lachat’s QuickChem 8500, Loveland, Colorado, USA) and the sum of NH4+ and NO3− was defined as extractable inorganic nitrogen (EIN). The soil extracts were further added with K2S2O8 and oxidised in an autoclave at 120 °C for 30 min (Cabrera and Beare 1993) and measured for NO3− using the FIA. Microbial biomass N was calculated as the differences in NO3− concentrations between fumigated and non-fumigated soil extracts with a conversion factor of 0.54 (Brookes et al. 1985).
Air-dried rhizosphere soil was extracted with 0.01 M CaCl2 for pH measurement and the pH obtained was termed rhizosphere soil pH. The soil and the oven-dried shoots and roots were finely ground and analysed for C and N concentrations using a CHNS/O Analyser (PerkinElmer EA2400, Branford, USA). Isotopic 13C and 15N abundances in plant shoots were quantified using the IRMS.
Calculation
The amount of CO2-C derived from residue was calculated by multiplying total below-ground CO2 efflux (total CO2 efflux) by the proportion of residue-derived CO2 (fRES) based on the following equation:
The fRES was calculated according to the equation:
where ‘δ13Cresidue-amended soil’ and ‘δ13Cno-residue control’ are the δ13C values of CO2 derived from planted columns with and without residue amendment, respectively (Fig. S2); ‘δ13Cresidue’ is the δ13C value of CO2 released from residues when incubated with sands (Table 2).
Statistical analyses
The effect of CO2 concentration, residue type and their interaction were tested at two sampling times separately for all measurements using a two-way analysis of variance (ANOVA). Significant differences (P < 0.05) among means were identified using the Duncan’s multiple range test. Pearson’s correlation analysis was performed to examine the relationship of microbial biomass C-to-N ratio and residue decomposition across the two growth stages and the relationship of rhizosphere extractable C induced by eCO2 and residue decomposition at Day 62. The tests were performed with Genstat (v17; VSN International, Hemel Hempstead, UK). All figures were plotted in Excel 2013 (Microsoft, Redmond, USA).
Results
Plant growth, C and N content, and 13C and 15N abundance
The effect of eCO2 on plant growth differed at two growth stages. There was no CO2 treatment or residue type effect on plant biomass, root length, shoot C and N concentrations as well as shoot 13C abundance at Day 34 (Table 2). However, eCO2 decreased the 15N atom% of plant shoot when field pea residue was amended, leading to a significant CO2 × residue interaction (Table S1). Residue amendments increased shoot 15N abundance when compared to non-amended controls with the highest increase being 5.3% in soil amended with field pea residue (Table S1).
At Day 62, eCO2 increased shoot and root biomass by 23–36% and 40–48%, respectively (Table 2), indicating white lupin distributed more photosynthesized C below-ground under eCO2. Elevated CO2 increased the root length by 16%, 19% and 33% in the wheat, field pea and non-residue-amended soils, respectively (Table 2). Residue amendments abated the eCO2 effect on root length, particularly when canola residue was added. Elevated CO2 did not affect shoot N concentration or C-to-N ratio but decreased the δ13C value of shoots generally, with the largest reduction being 2.0‰ PDB when the field pea residue was incorporated and the smallest being 0.8‰ PDB in the wheat straw-amended soil (Table 2). Elevated CO2 reduced the shoot 15N (atom%) by 0.5% in the wheat straw-amended soil, but increased it by 1.6% when field pea residue was amended (Table S1).
Residue decomposition
The rhizosphere effect accelerated residue decomposition when compared to the no-plant control. A positive rhizosphere effect on residue decomposition was found at Day 34. Specifically, the residue-derived CO2 was 7.0–8.8 μg C g−1 soil d−1 from planted columns which was higher than the amount of CO2 (2.7–4.8 μg C g−1 soil d−1) evolved from their corresponding unplanted columns (Fig. 1a). When compared to aCO2, eCO2 did not affect the decompositon of canola residue, decreased that of wheat straw by 7.4% and incresed that of field pea residue by 13.5%, leading to a CO2 × residue interaction (Fig. 1a).
The positive rhizosphere effect on residue decomposition decreased and was even reversed at Day 62 (Fig. 1b). On average, the decomposition rates of wheat and field pea residues were both 3.9 μg C g−1 soil d−1 in unplanted columns (the arrow-ended dash lines on Fig. 1b), while their corresponding decomposition rates were only 2.6 and 2.4 μg C g−1 soil d−1 in planted soils. The decomposition rate of canola residue was 2.0 μg C g−1 soil d−1 in the unplanted column which was still lower than that (2.9 μg C g−1 soil d−1) in the planted column (Fig. 1b). The decomposition of residue was 13%, 15% and 11% higher under eCO2, compared to aCO2, for the wheat, field pea and canola residue, respectively (Fig. 1b). Besides, canola residue exhibited the highest decomposition rate at this stage under both CO2 concentrations.
Total below-ground CO2 efflux and its 13C abundance
The presence of white lupin increased the total below-ground CO2 efflux (Fig. 2). For example, at Day 34, soil respiration from the unplanted columns (the arrow-ended dash lines on Fig. 2a) was only 5.3–5.7 μg C g−1 soil d−1 when residues were amended, however, the respiration rate amounted up to 33.2–45.3 μg C g−1 soil d−1 in the correspnding planted columns. This positive rhizosphere effect on below-ground CO2 efflux was further increased by 19–36% by eCO2 when compared to aCO2 (Fig. 2a). At Day 62, the total below-ground CO2 efflux increased to 48.4–64.1 μg C g−1 soil d−1 in the planted columns (Fig. 2b). Elevated CO2 increased the total below-ground CO2 efflux by 33% and 13% in the field pea and canola residue-amended soils, respectively (Fig. 2b).
The δ13C value of CO2 from no-residue control was similar between the two CO2 levels and was constant throughout the experiment (−23.3 to −25.6‰ PDB) (Fig. S2). The amendment of 13C-labelled residues yielded a much higher δ13C value of below-ground CO2 and the value decreased with time. At Day 34, the field pea residue treatment showed the highest 13C abundance of total below-ground CO2 (55.2‰ PDB), followed by the wheat straw (43.2‰ PDB) and the canola residue treatment (14.5‰ PDB). At Day 62, the δ13C value of total below-ground CO2 was −7.9‰ PDB and − 9.9‰ PDB, respectively, for the treatments of wheat straw and field pea residue. Total CO2 effluxed from the soil amended with canola residue showed the lowest δ13C value, which was −5.8‰ PDB (Fig. S2). On average, eCO2 decreased the δ13C value of CO2 evolved from residue-amended columns at both stages and the decrease was 37% and 21% at Days 34 and 62, respectively (Fig. S2).
Rhizosphere soil respiration
Rhizosphere soil respiration (12 h) was 163–284 μg CO2 g−1 soil at Day 34 (Fig. 3a). Elevated CO2 had no significant effect on rhizosphere soil respiration. A strong effect of residue type was found with field pea residue inducing, on average, 1.3–1.5-fold higher rhizosphere soil respiration than other residues (Fig. 3a). At Day 62, the soil respiration from unplanted soils was only 0–38.4 μg CO2 g−1 soil (the arrow-ended dash lines on Fig. 3b). The amounts of CO2 released from rhizosphere soils ranged 318–434 μg CO2 g−1 soil (Fig. 3b). Elevated CO2 increased the rhizosphere soil respiration by 18% and 25% in the wheat and field pea residue-amended soils, respectively, but not in the canola residue and no residue-amended soils, leading to a CO2 × residue interaction (Fig. 3b).
Soil pH in the rhizosphere
White lupin acidified its rhizosphere by decreasing the original soil pH from 6.20 to 5.29–6.03 at Day 34 (Table 3). The rhizosphere soil pH was further decreased to 4.33–4.76 by Day 62 (Table 3). At Day 34, eCO2 decreased the rhizosphere soil pH by around 0.3 units except for the wheat straw-amended soil (Table 3). The amendment of residues yielded higher pH when compared to no-residue control (Table 3) probably due to the alkalinity effect of crop residues (Wang et al. 2017). Elevated CO2 also decreased the rhizosphere soil pH (by an average of 0.18 units) at Day 62 with the greatest reduction being 0.4 units when wheat straw was amended (Table 3). On average, the soil amended with field pea residue showed the highest rhizosphere soil pH which was 0.33 units higher than the no-residue control (Table 3).
Rhizosphere K2SO4-extractable organic C (EOC) and inorganic N (EIN)
At Day 34, eCO2 increased the concentrations of EOC by 42% and 49% in the canola residue-amended and no-residue soils, respectively (Table 3). On average, soils amended with field pea residues showed the highest EOC, followed by canola residue, no-residue controls and wheat straw (Table 3). The concentration of EOC was 2.7 to 6.9-fold greater at Day 62 than at Day 34. Elevated CO2 increased the EOC concentration in all residue-amended treatments, with the increases being 80%, 63%, 44% and 21% in the wheat straw, no-residue control, field pea residue and canola residue-amended soils, respectively (Table 3). Moreover, residue decomposition rate was positively correlated with rhizosphere extractable C at Day 62 (P < 0.01, Fig. 4).
The original soil EIN was 10.5 μg g−1. Growing white lupin dropped the value to 0.05–1.93 μg g−1 and 0.67–1.09 μg g−1 at Day 34 and 62, respectively. The treatment effect was signifcant at Day 34 with a CO2 × residue interaction being detected as eCO2 increased the EIN in the wheat straw and canola residue-amended soils (Table 3). In general, the EIN was higher at Day 62 when compared to Day 34. There tended to be higher EIN under eCO2 when compared to aCO2 at Day 62, but the difference was not statistically significant.
Microbial biomass C (MBC), N (MBN) and C to N ratio (MBC-to-N)
Soil MBC in the rhizosphere ranged from 73 to 176 μg C g−1 soil at Day 34 (Table 3). Neither CO2 level nor residue type had a significant effect on MBC (Table 3). At Day 62, the MBC was increased to 284–506 μg C g−1 soil (Table 3). On average, eCO2 increased MBC by 20% at this stage. Soil MBN was higher in the residue-amended soils at both harvests, leading to lower MBC-to-N when compared to no-residue control columns. On average, eCO2 increased the MBN by 23% at Day 62. The MBC-to-N was higher at Day 62 than Day 34 (Table 3). It correlated negatively with residue decomposition rate (R2 = 0.64, P < 0.01, data not shown) across the two growth stages.
Total soil C in the rhizosphere
At Day 34, eCO2 had no significant effect on the concentration of SOC in the rhizosphere. Not surprisingly, the residue amendments raised the rhizosphere SOC when compared to the no-residue controls, with the largest and smallest increases being 94% and 55% in field pea and canola residue-amended soils, respectively (Table 3). Higher SOC was observed in the rhizosphere at Day 62 than at Day 34, indicating a net C deposition. On average, eCO2 enhanced SOC, with the increases being 6%, 9%, 6% and 19% for wheat straw, field pea residue, canola residue-amended and non-amended soils, respectively. Residue amendments increased the rhizosphere SOC by an average of 46% (Table 3).
Discussion
Rhizosphere effects on residue decomposition
This present study showed that the direction and magnitude of rhizosphere effects on residue decomposition differed at two growth stages. Specifically, the presence of white lupin increased the decomposition of all three crop residues (positive rhizosphere effects) at Day 34. However, the rhizosphere effects declined and even became negative in soils amended with wheat and field pea residues at Day 62. The decreased decomposition is consistent with some previous studies (Cotrufo and Ineson 1996; Lam et al. 2014; Butterly et al. 2016). For example, Butterly et al. (2016) reported a decreased decomposition of both wheat and field pea residues in the rhizosphere of either wheat or field pea at about 7–8 weeks after planting when compared with controls without plants. The negative rhizosphere effect was associated with preferential substrate utilisation (Blagodatskaya et al. 2011) in their studies. In this study, the roots of white lupin might have released larger amounts of low-molecular-weight substrates at Day 62 as indicated by the greater rhizosphere extractable organic C and rhizosphere soil respiration (Table 3; Fig. 3b). However, it did not seem to have changed the pattern of microbial substrate utilisation as a positive relationship between residue decomposition and EOC was observed (Fig. 4). Other mechanisms must exist accounting for the change in the direction of decomposition.
The labile portion of residue-C degrades faster in plant rhizosphere than in bulk soil probably due to stimulated microbial activity by root exudation (Cheng and Kuzyakov 2005). Therefore, less labile residue-C would have been left in the planted columns at the later decomposing stage by comparison to the unplanted controls. This could partly explain the reduced positive rhizosphere effects on all residue decomposition at Day 62. Similarly, in a meta-analysis, Luo et al. (2016) discovered that the decomposition of SOC at a specific time correlated positively with the instantaneous quantity of remaining fresh C. Besides, the decreased rhizosphere effect on residue decomposition could be associated with rhizosphere N status. Compared to Day 34, soil microorganisms were extremely N-limited at Day 62 as shown by enhanced microbial C-to-N ratio (Table 3) as plants depleted soil available N. This might have inhibited microbial decomposing capacity as residue decomposition rate was negatively correlated with microbial C-to-N ratio (R2 = 0.64, P < 0.01, data not shown) across the two growth stages.
Moreover, the significant decrease in rhizosphere soil pH may have also contributed to the decreased decomposition at Day 62. The Tenosol soil used in this study has a low soil pH buffer capacity (6 mmolc kg−1 pH −1). Growing white lupin acidified the rhizosphere soil possibly by excess uptake of cations over anions (Tang et al. 1999). Rhizosphere soil pH dropped significantly in this study especially at the later growth stage (Table 3) when white lupin showed more vigorous root growth and activity (Table 2, Fig. 3b). Previous studies have shown that low soil pH could strongly affect the composition and/or activity of the soil microbial community, thereby decreasing microbial degrading ability (Andersson et al. 2000; Kemmitt et al. 2006; Rousk et al. 2009). For example, Rousk et al. (2009) showed that low pH (4.5) favoured fungal over bacterial growth and induced a fungal functional redundancy, leading to a decreased in C mineralization. A recent study further confirmed that residue decomposition decreased linearly with the drop of soil pH (Aye et al. 2016). Moreover, low soil pH could also affect the growth of plants and their rhizodeposition/root exudation, but this may not be valid in the case of acid-tolerant species (e.g. white lupin in this study) (Huyghe 1997). This study showed that rhizosphere acidification might also be a factor affecting residue decomposition in the rhizosphere.
Interestingly, negative rhizosphere effects on residue decomposition were found for wheat straw and field pea residue but not for canola residue at Day 62. Canola residue has the highest C-to-N ratio (54) and the least labile C (36.4 mg g−1) when compared to wheat and field pea residues. In addition, it contains relatively more lignin (Table 1) and structural carbohydrates (Lupwayi et al. 2004), which could make it more energetically costly and more recalcitrant to microbial degradation (Ruiz-Dueñas and Martínez 2009) (Saar et al. 2016). This assumption is supported by the lower decomposition rates of canola residue in the no-plant controls when compared to wheat and field pea residues (arrow-ended dash lines on Fig. 1). However, this substrate quality-suppressed microbial decomposition of canola residue vanished at the presence of white lupin (canola residue, Fig. 1b) probably because root-derived C compounds highly stimulated the growth of soil microorganisms and/or their degrading ability (de Graaff et al. 2009; Bengtson et al. 2012), leading to the positive rhizosphere effect on canola residue decomposition at Day 62. Moreover, residue amendment tended to decrease root and/or rhizosphere respiration with enhanced residue decomposition as it did not affect the total below-ground CO2 efflux when compared to the no-residue control (Fig. 2). This could be caused by possible allelopathic effects of the residues and by microbial N competition with growing plants (Lam et al. 2013).
The effects of elevated CO2 on rhizosphere residue decomposition
Residue decomposition was higher under eCO2 than aCO2 at Day 62, but was residue-type-dependent at Day 34. The discrepancy might derive from the different CO2-effect on the amount and quality of root exudates between the two growth stages, and/or from the different properties of residues, such as C availability, C to N ratio and biochemical recalcitrance.
In comparison with aCO2, eCO2 increased residue decomposition at Day 62. Greater root exudation was expected under eCO2 especially at the later growth stage when plant roots secreted more labile C substrates (Sugiyama and Yazaki 2012), expanded and explored larger volumes of soil (Paterson et al. 2008). This is evidenced by the greater EOC under eCO2 when compared to aCO2, particularly at Day 62 (Table 3) and the greater rhizosphere respiration at Day 62 than Day 34 (Fig. 3b). The decomposition rates of residues were positively correlated with rhizosphere EOC (P < 0.01) (Fig. 4), which concurs with the results of Bengtson et al. (2012) that decomposition of SOC increased with the rate of root exudation. Possibly, eCO2 activated soil microbial activity and/or growth, as shown by the increased rhizosphere soil respiration and the increasing trend of MBC, and hence enhanced SOC decomposition, complying with the co-metabolism theory (Kuzyakov et al. 2000; Cheng and Kuzyakov 2005; Zhu et al. 2014). Moreover, root exudates enhanced under eCO2 may also chemically liberate soil mineral-protected nutrients via decomplexation and dissolution (Keiluweit et al. 2015; Yuan et al. 2018) and therefore could partly alleviate microbial nutrient limitation, leading to greater decomposition of crop residues. Furthermore, eCO2 could potentially alter the composition of root exudates, given more N-enriched rhizodeposition was previously detected under eCO2 by de Graaff et al. (2007). The greater inputs of N-rich root exudates could activate the growth and/or activity of the soil microbial community to degrade SOC and/or residue-C (Butterly et al. 2016; Xu et al. 2018) as N in exudates can alleviate microbial N constraints in the rhizosphere (Drake et al. 2013).
Except for the quantity and quality of root exudates, the chemical properties of residue (e.g. C-to-N ratio and molecular degradability) could also affect its decomposition under eCO2. Although plant growth was not significantly enhanced by eCO2, root exudation could still be stimulated due to disproportional distribution of photosynthetic C below-ground (Cheng and Johnson 1998; Butterly et al. 2016). The increased root exudation under eCO2 only stimulated the decomposition of field pea residue with lower C-to-N ratio, probably due to enhanced N availability. The higher C-to-N ratio (46) wheat straw, however, could have shifted the microorganisms to utilise the root-derived C compounds under eCO2, leading to a decrease in decomposition according to the preferential substrate utilisation theory (Blagodatskaya et al. 2011). However, the canola residue has a similar C-to-N ratio (54) to wheat straw but its decomposition was not affected by eCO2. It might relate to the biochemical recalcitrance of the canola residue as low-quality residue could delay its responses to microbial decomposition (Partey et al. 2013). The eCO2 effect could also be missed from the two small windows of measurements in this present study. As a result, a system that enables a better temporal resolution of gas measurements is required in future studies.
Conclusions
Using the stable isotope tracing technique, this study examined the rhizosphere effects on crop residue decomposition under eCO2. Residue decomposition in the presence of white lupin differed at two growth stages and between residue types. Specifically, the decomposition of crop residue was enhanced at Day 34 but inhibited at Day 62, possibly due to depletion of labile residue-C, enhanced microbial N limitation or decreased rhizosphere soil pH over time. In general, eCO2 increased the decomposition of crop residues at Day 62 possibly via microbial activation. The C-to-N ratio of residue and its degradability also affected the decomposition under eCO2 at Day 34. Our results imply that eCO2-induced increase in residue decomposition in the rhizosphere of leguminous plants may stimulate C turnover and release of residue-N for later plant uptake. Further research is required to improve the temporal resolution of gas measurements, and also to simultaneously examine the effects of eCO2 on the decomposition of both residue and native soil C to better understand below-ground C cycling.
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Acknowledgements
We are grateful to anonymous reviewers for their valuable comments, Mark Richards for providing the white lupin seeds, Dr. Clayton Butterly for providing the Tenosol soil and involvement of dual-labelled crop-residue generation, and Leanne Lisle for performing the IRMS analysis.
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Xu, Q., O’Sullivan, J.B., Wang, X. et al. Elevated CO2 alters the rhizosphere effect on crop residue decomposition. Plant Soil 436, 413–426 (2019). https://doi.org/10.1007/s11104-019-03940-2
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DOI: https://doi.org/10.1007/s11104-019-03940-2