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Article

Chemical Recalcitrance Rather Than Soil Microbial Community Determined Short-Term Biochar Stability in a Poplar Plantation Soil

Co-Innovation Center for Sustainable Forestry in Southern China, College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China
*
Author to whom correspondence should be addressed.
Forests 2024, 15(4), 622; https://doi.org/10.3390/f15040622
Submission received: 26 February 2024 / Revised: 27 March 2024 / Accepted: 28 March 2024 / Published: 29 March 2024
(This article belongs to the Section Forest Soil)

Abstract

:
The stability of biochar is fundamental to its soil carbon (C) sequestration potential. The relative importance of chemical recalcitrance and the soil microbial community on biochar stability is still unclear. To unveil the question, we conducted a 60-day incubation to explore the stability of two rice-straw-derived biochars pyrolyzed at 300 and 500 °C (denoted as BS300 and BS500), as well as the relative contribution of the soil microbial community and biochar chemical recalcitrance to biochar stability in a poplar plantation soil. Biochar-derived cumulative carbon dioxide (CO2) emission was estimated to be 41.3 and 6.80 mg C kg−1, accounting for 0.73 and 0.11% of the amended biochar-derived organic C (OC) in BS300 and BS500 treatments, respectively. The mean retention time (MRT) estimated by double-exponential model fitting was 49.4 years for BS300 and 231 years for BS500. Compared to control, BS300 and BS500 decreased β-D-glucosidase activity by 20.9 and 18.0%, while they decreased phenol oxidase activity by 31.8 and 18.9%, respectively. Furthermore, BS300 increased the soil microbial metabolic quotient (qCO2) by 155%, but BS500 decreased it by 13.4%. In addition, BS300 resulted in a 520% higher biochar-derived hot-water-extractable OC than BS500. Partial least-squares path modeling (PLSPM) showed that the path efficients of biochar’s chemical recalcitrance and microbial qCO2 were 0.52 and 0.25, respectively, and that of the soil microbial activity is neglected. We conclude from this short-term study that chemical recalcitrance imposed a greater effect than soil microbial community on biochar stability.

1. Introduction

Biochar is a solid material produced by pyrolysis under limited or absent oxygen conditions. The unique properties of biochar, e.g., high carbon (C) and various nutrients, make it a potential measure to improve soil quality and increase yields [1,2,3]. In addition, biochar produced from raw plant material can sequester as high as 20% of net C from the atmosphere when compared to the fresh plant material, and, thus, is a carbon-negative material [4].
However, biochar can be mineralized into carbon dioxide (CO2) through biotic and abiotic processes [5]. Carbon loss in biochar varied between 3 and 26% per 100 years, and the half-life of biochar can be between 102 and 107 years [6,7]. For example, the mean retention times (MRTs) were estimated to be 713 and 978 years for 450 and 550 °C wood (Eucalyptus saligna Sm.) biochars, respectively, following a 25-month incubation [8]. In contrast, the MRTs were estimated to be 62 and 100 years for 450 and 550 °C grass (Astrebla spp.) biochars, respectively, following a 120-day incubation [9]. The stability of biochar has been found to increase with an increasing pyrolysis temperature [10,11], primarily due to the more labile organic C (OC) such as alkanes contained in low-temperature biochars [12], and lower polarity and more aromatic compounds indicated by the lower O/C and H/C ratios in high-temperature biochars [13]. Additionally, it has been observed that the type of feedstock (e.g., wood and herbaceous materials) significantly influences the stability of biochar, with herbaceous feedstocks being more susceptible to rapid biodegradation due to the higher content of labile organic matter in comparison to wood feedstocks [13].
Besides the small part of labile OC, such as water-soluble organics [2], biochar is primarily composed of aromatic C. It was reported that about 89.5% of the OC was aryl C as indicated by the 13C NMR analysis [14]. Soil microbes utilize biochars by the secretion of a series of enzymes, particularly the oxidative enzymes responsible for the degradation of recalcitrant substances, such as lignins, tannins, and suberins [15,16]. Since the enzyme synthesis, transportation, and secretion are energy-intensive [17], soil micro-organisms prefer labile OC over recalcitrant OC contained in biochars due to the lower energy cost [18,19]. Following the uptake of biochar, soil microbes can respire biochar as CO2 via catabolism; meanwhile, they can incorporate it into biomass via anabolism [10]. The trade-off of biochar-C partition between microbial catabolism and anabolism impacts the CO2 flux derived from biochar. It was suggested that the highly labile C components in biochars were mineralized predominantly through biotic decomposition at the initial decomposition stage [20,21]. Some studies have emphasized the importance of intrinsic chemical recalcitrance in determining biochar stability in soils [22,23,24]. For example, Fang et al. (2014) investigated the stability of biochar pyrolyzed at 450 and 550 °C in four different soils and found that the relative proportions of alkyl and aromatic C in biochar and the degree of condensation of aromatic C were determinant factors affecting the biochar’s stability in soil [22]. However, other studies have found that the soil microbial community has a pronounced effect on biochar stability [25,26,27]. Recent studies have found that the addition of biochar to ferralsol alters the preferential utilization of substrates by soil microbes, enhancing soil microbial diversity and leading to an increased biochar degradation [26]. Therefore, the relative importance of chemical recalcitrance and soil microbial activity in determining biochar stability is still illusive.
Here, we examined the decomposition dynamics of 300 °C and 500 °C biochars by conducting a 60-day incubation. We hypothesized that the biochar stability was primarily controlled by its chemical recalcitrance rather than the soil microbial community in the short term. The main objectives of this study were to (1) analyze the decomposition rate of two biochars in poplar plantation soils; and (2) determine the relative importance of the soil microbial community and biochar chemical recalcitrance influencing the biochar stability in soil.

2. Materials and Methods

2.1. Biochar Preparation and Characterization

The biochars used in this study were prepared from 13C-labelled rice. Details regarding the 13C labelling of rice, the production, and the properties of the biochars can be found in Lu et al. (2021) [14]. Briefly, the pulse labelling of rice was performed at the grain-filling stage of rice using Ba13CO3 (13C 98 atom%). After being oven-dried and chopped into 3–5 cm pieces, the 13C-labelled rice was pyrolyzed at temperature of 300 °C and 500 °C, respectively. To determine the δ13C of OC, the biochar was first subjected to acid rinsing to remove inorganic C as described by Boutton et al. (1999) [28], and then analyzed using an isotope ratio mass spectrometer interfaced with an element analyzer (Flash EA-δV advantage, Thermo Fisher, Waltham, MA, USA) at Advanced Analysis and Testing Center, Nanjing Forestry University (AATU-NFU).

2.2. Soil Sampling and Characterization

Soil sample was collected from Dongtai Forest Farm (120°49′44″ E, 32°52′37″ N), Yancheng City, Jiangsu Province, China. The forest plantation, with an area of about 2000 hm2, was established in 1965. It is located in the coastal area of the Yellow Sea, with an obvious monsoon climate, and the transition zone from temperate to north subtropical climate zone. This is a typical poplar plantation area in China, with a vegetation coverage of about 85%, and mean annual temperature and precipitation of 13.7 °C and 1051 mm, respectively. The farm is part of the saline land of silting coastal area (alluvial soil) [29]. Soil in this area belongs to fluvisols according to the World Reference Base (WRB) [30].
A uniform poplar plantation was selected as the sampling site. The poplar plantation was established in 2012 and the soil sampling was conducted in October 2016. The understory vegetation in the plantation was composed of Pteris biaurita and Humulus scandens and the poplar species in the selected sampling site was Populus deltoides CL ‘35’. The afforestation planting space was 4 m × 6 m. Three plots (20 m × 20 m) were set up in the plantation, with the distance between adjacent plots no less than 5 m. Before soil sampling, plant residues and litter were removed. Six subsamples (0–20 cm) were collected from each plot, and a composite soil sample was obtained by mixing the six subsamples. Totally, three independent soil samples were prepared by mixing the subsamples. The soil samples were divided into two portions. One portion was stored at 4 °C used for the analysis of soil microbial biomass (MBC), and δ13C of hot-water-extractable OC, as well as the incubation experiment within one week. The other portion was air-dried and used for analysis of basic physicochemical properties, which were as pH of 7.42, soil organ carbon (SOC) of 0.61%, and soil inorganic carbon (SIC) of 0.71%. The soil was determined as silt loam according to the USDA textural classification.

2.3. Incubation Experiment

We used three treatments: soil with no biochar amendment (control), soil amended with biochar pyrolyzed at 300 °C (BS300), and soil amended with biochar pyrolyzed at 500 °C (BS500). There are triplicates for each treatment. The soil sample and the biochar were crushed and passed through 2 mm and 0.25 mm sieves, respectively. Soil subsamples of 100 g (on an oven-dried basis) were weighted into designated 500 mL flasks. The biochar amendment rate was 1% (w/w), equivalent to a field application rate of 26 t ha−1 (20 cm soil depth, and soil bulk density of 1.30 g cm−3). The soil was mixed uniformly with biochars. Deionized water was added to soils to bring the soil or soil–biochar mixture to 60% water-filled pore space (WFPS). The flasks were aerobically incubated at 25 °C in the dark. Soil water loss due to evaporation was supplemented using a pipette by weighing the flask every other day. Gases evolved from the flasks were periodically sampled on days 0, 1, 3, 7, 10, 45, and 60. The flasks were first purged with CO2-free air, a 25 mL gas sample was immediately collected from the incubated flasks, followed by 25 mL nitrogen gas (N2, 99.9999%) being refilled into the incubated flask to avoid negative pressure, and then another 25 mL gas samples were collected after 12 h enclosure. The CO2 flux was calculated based on the concentration difference of gas sampled at time 0 and 12 h. To measure the soil extracellular enzyme activities and hot water-extractable OC content and δ13C, soils were collected on days 0, 1, 7, 30, and 60.
CO2 concentration in the gas sample was analyzed by gas chromatograph (Agilent 7890B, Agilent, Santa Clara, CA, USA). CO2-δ13C was analyzed by isotope ratio mass spectrometer (Flash EA-δV advantage, Thermo Fisher, Waltham, MA, USA). Hot-water-extractable OC was analyzed according to Chodak et al. (2003) [31] and Landgraf et al. (2003) [32]: an aliquot of fresh soil (equivalent to 30 g oven-dried soil) was extracted with 150 mL (1:5 soil:water solution (w/v)) boiled deionized water for 1 h. After cooling, soil suspension was centrifuged at 2000 g for 10 min. The extracts were filtered through 0.45 μm filters, and was divided into two portions. One portion of filtrate was analyzed for hot-water-extractable OC content by Total Organic Carbon (TOC) Analyzer (Multi N/C 3000, Jena, Germany); the other portion was initially dried using a freeze-drier (FreeZone 2. L, Labconco, Kansas City, MO, USA), and then analyzed for hot-water-extractable OC-δ13C using an isotope ratio mass spectrometer (Flash EA-δV advantage, Thermo Fisher, Waltham, MA, USA). Soil microbial biomass (MBC) was analyzed by chloroform fumigation–extraction method with the correction factor for calculation of 0.38. Soil microbial quotient was calculated as the CO2 efflux divided by MBC.

2.4. Soil Extracellular Enzyme Activities

In this study, enzymes linked to the SOC decomposition process included β-D-glucosidase (EC 3.2.1.21), cellobiohydrolase (EC 3.2.1.91), phenol oxidase (EC 1.14.18.1), and laccase (EC 1.10.3.2). These enzymes are widely analyzed enzymes concerning carbon cycling [33], while laccase was specifically measured to further elucidate response of oxidase to biochar application in this study. Briefly, soil aliquots were extracted using 50 mM acetate buffer (pH = 5.0) with a 1:5 soil:liquid (w/v) to analyze β-D-glucosidase and cellobiohydrolase. We used p-nitrophenol (pNP)-β-D-glucopyranoside and pNP-cellobioside as substrates to analyzing the activities of soil β-D-glucosidase and cellobiohydrolase, respectively, and the modified methods followed those described by Sinsabaugh et al. (1994) [34] and Allison and Vitousek (2005) [17]. A spectrophotometer (UV-2550, Shimadzu, Kyoto, Japan) was used to measure the absorbance of the pNP assay at 410 nm following the incubation at 20 °C for 1 h in a dark incubator (MLR-351, Sanyo, Osaka, Japan). The soil phenol oxidase was determined using l-3, 4-dihydroxyphenylalanine (DOPA) as substrate, following Waldrop et al. (2000) [35] and Saiya-Cork et al. (2002) [36]. Tyrosine (Aladdin Co., Shanghai, China, ≥500 units mg−1 dry weight) was utilized to determine the extinction coefficient of the oxidized DOPA. Soil laccase was analyzed using 2, 2’-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) as a substrate [37]. The extinction coefficient of the produced ABTS+ was 36000 L mol−1 cm−1 [38]. The absorbance of the DOPA and ABTS assay was measured at 450 and 420 nm, respectively, using a microplate reader (Biolog, Hayward, CA, USA). Blank (without substrate) and control (without soil suspension) were simultaneously analyzed with triplicates for each enzyme. Enzyme activities were measured in triplicate, and the enzyme activity was expressed as μmol substrate converted g−1 dry soil h−1.

2.5. Calculations

The ratio of the CO2 efflux derived from biochar to total CO2 efflux (fb) is calculated using a two-component isotopic linear mixing model [39] as shown in Equation (1):
f b = δ δ s δ b δ s
where δ (‰) is the δ13C of CO2 emitted from biochar-amended soils; δs (‰) is the δ13C of native SOC; and δb (‰) is the δ13C of OC in biochar. The δ13C of CO2 emitted from biochar-amended soil is calculated based on a mass balance equation [40] as shown in Equation (2):
δ = δ 2 × C 2 δ 1 × C 1 C 2 C 1
where C1 and C2 are the concentration of CO2 (μL L−1), and δ1 and δ2 are the δ13C of CO2 (‰) in gases sampled immediately and 12 h after flask enclosure, respectively.
The quantity of native soil-derived hot-water-extractable OC in biochar-amended soils was calculated using the same method as that of native soil-derived CO2 efflux (Equations (1) and (2)).
The course of biochar decomposition was estimated by fitting the biochar-derived CO2 to a double-exponential model [9], and the formula is shown in Equation (3):
C B t = C × 1 e k 1 t + 100 C × 1 e k 2 t
where CBt (%) is the percentage of cumulatively mineralized biochar, t (d) is the incubation time, C (%) and (100 − C) (%) is the percentage of relatively labile C and stable C, respectively, and k1 (d−1) and k2 (d−1) is the decomposition rate constant for labile C and stable C, respectively. The MRT is the inverse (1/k2) of the decomposition rate constant.

2.6. Statistical Analysis

One-way ANOVA followed by LSD multiple comparison was conducted to examine the differences in biochar decomposition rate, cumulative biochar decomposition, and exocellular enzyme activities between the different treatments. An independent-sample t test was used to examine the difference of biochar-derived hot-water-extractable OC between BS300 and BS500 treatments. Significance was defined as p < 0.05. Statistical analysis was performed using SPSS 12.0. Graphs were generated using Origin 2018. A double-exponential model was used to fit the biochar decomposition rate using GraphPad 8.0.2. The effect of OC lability and microbial properties on biochar stability were assessed using partial least-squares path modeling (PLSPM) in the R package “plspm” [41].

3. Results

3.1. Soil Microbial Respiration, and Biochar-Derived CO2 Efflux and Emission

Soil microbial respiration first decreased from day 0 to day 30, followed by a slight increase from day 30 to day 60 during incubation in all treatments (Figure 1a). Compared to control, BS500 had no influence on soil microbial respiration, while BS300 significantly increased it by 90% when averaged through incubation time (Figure 1a, p < 0.05). The biochar-derived CO2 efflux peaked on day 0 (0.37 mg C kg−1 h−1) and day 1 (0.05 mg C kg−1 h−1) in the BS300 and BS500 treatments, respectively, followed by a sharp decrease until day 7 and subsequent slow decrease until the end of the incubation (Figure 1b). The biochar-derived cumulative CO2 emission was estimated to be 41.3 and 6.80 mg C kg−1, accounting for 0.73 and 0.11% of the amended biochar-OC in BS300 and BS500 treatments respectively (Figure 1c). The double-exponential model fitting showed that more than 99.6% of the OC contained in the studied biochars was recalcitrant. The MRT of 300 and 500 °C biochar was estimated to be 49.4 and 231 years, respectively (Table 1).

3.2. Soil Enzyme Activity

The examined soil enzyme activities initially decreased, then increased, and, finally, decreased during the incubation under BS300 and BS500 treatments (Figure 2). Both BS300 and BS500 changed the dynamic of the hydrolase (β-D-glucosidase and cellobiosidase) activity, showing little effect on the dynamic of oxidase (phenol oxidase and laccase) activity (Figure 2). When averaged through the incubation, compared to control, BS300 and BS500 decreased the β-D-glucosidase activity by 20.9 and 18.0% (Figure 2a), while they increased the cellobiosidase activity by 10.1 and 9.3%, respectively (Figure 2b), mainly occurring at the earlier incubation stage (days 0–7). Furthermore, BS300 and BS500 decreased the phenol oxidase activity by 31.8 and 18.9%, respectively (Figure 2c). There was no difference in the extracellular enzyme activities between BS300 and BS500 treatments (Figure 2).

3.3. Soil Microbial Biomass and Metabolic Quotient

In general, soil microbial biomass was increased while the microbial metabolic quotient decreased during the incubation (Figure 3). Compared to control, BS300 and BS500 had no effect on soil microbial biomass except on days 0 and 1 (Figure 3a). BS300 increased the microbial metabolic quotient by 155.3%, while BS500 decreased it by 13.4%, following a 60-day incubation (Figure 3b).

3.4. Soil Hot-Water-Extractable OC

Soil hot-water-extractable OC fluctuated and remained relatively stable during the incubation; furthermore, it was not different among three treatments (Figure 4a). Biochar-derived hot-water-extractable OC peaked on day 0 (32.6 mg C kg−1) and day 1 (5.36 mg C kg−1) in the BS300 and BS500 treatments, respectively, and it gradually decreased during incubation (Figure 4b). When averaged through the incubation period, compared to control, BS300 and BS500 decreased biochar-derived hot-water-extractable OC by 42.1 and 80.3% after incubation. Furthermore, BS300 (24.0 mg C kg−1) had a 520% higher biochar-derived hot-water-extractable OC than BS500 (3.87 mg C kg−1).

4. Discussion

4.1. The Stability of Biochars Pyrolyzed at Different Temperatures

In this study, 500 °C biochar was more stable than 300 °C biochar (Figure 1b), which was consistent with previous studies [18,42]. Biochar contains soluble, low-molecular-weight organics and recalcitrant aromatic compounds that mineralize at varying rates, and the relative proportions of these organic fractions in biochars vary upon the biochar’s feedstock and pyrolysis temperature [23]. Compared with biochar pyrolyzed at lower temperatures, pyrolysis at higher temperatures lead to a higher aromatic C, higher degree of condensation of aromatic C, and less labile C in biochar [43], which may result in the greater stability of 500 °C biochar in soil.
The MRT of 300 °C and 500 °C biochar was estimated to be 49.4 and 231 years, respectively (Table 1), which was at the lower end of the previously reported MRTs [8,9,25,43,44,45] (Table 2). The differences in the MRTs of biochars could be attributed to differences in the properties of the used soil and biochar, as well as the incubation conditions [22,46]. The estimated MRT of biochars may increase due to the extension of the incubation time and depletion of labile C [23,45]. For example, the incubation time extended from 196 days to 3 years, and the estimated MRT of 550 °C leaf biochar in soil increased from 353 to 706 years [23]. Although recalcitrant C in biochar typically exhibits long-term persistence in soil [5], it is still depleted with increasing incubation time, which is probably attributed to the enhanced substrate availability. The enhanced substrate availability may be due to the shifts in microbial communities towards utilizing recalcitrant substrates following the exhaustion of labile C within the biochar [23,47]. Therefore, future studies should consider increasing the incubation time and determine potential factors contributing to the long-term decomposition of biochar. In addition, the MRTs of biochar estimated in laboratory incubations probably differ from those observed under field conditions, since our incubation experiments removed plant roots and litters from the soil. These plant residues might induce a co-metabolic with biochar, leading to a rapid decomposition of biochar-C under field conditions [10].

4.2. Biochar Stability as Related to Soil Microbial Community and OC Lability

In this study, BS300 and BS500 decreased β-D-glucosidase and phenol oxidase activities, but they had no significant effect on cellobiosidase and laccase activities (Figure 2a–c). In contrast, it was reported the amended biochar increased the soil phenol oxidase and β-D-glucosidase [48], and decreased soil cellobiosidase activity [49]. Extracellular enzyme activities, which depend on metabolic requirements and nutrient availability, were directly involved in the biodegradation of OC [50]. Since β-D-glucosidase activity is involved in the decomposition of labile C [51], the lower enzyme activity might indicate a higher C availability in the soil [14,52]. The decrease in soil β-D-glucosidase might be due to the phenolic compounds in biochars [53,54]. Moreover, the production of oxidase, i.e., phenol oxidase, and laccases is essential for the degradation of aromatic structures in biochar [55,56,57]. A two-year experiment has reported biochar-induced shifts in soil microbial communities to actinomycetes [58], as actinomycetes can utilize recalcitrant C in biochar through the production of oxidases [59]. In this study, it was observed that biochar did not increase the activity of oxidases (Figure 2a), possibly due to the absence of a shift of the microbial community to actinomycetes during the relatively short incubation period. The lack of a significant difference in the examined extracellular enzyme activities in the BS300 and BS500 treatments (Figure 2) indicated the different stabilities of 300 °C and 500 °C biochars were not primarily due to soil enzyme activity.
In our study, BS300 possessed the higher qCO2 than BS500, primarily due to the higher CO2 emission in BS300 treatment (Figure 3a,b). This result was consistent with previous studies [60,61]. The soil microbial community can modulate the organic matter turnover in mineral soils through the allocation of C they take up into anabolism and catabolism [62]. A high qCO2 indicates that soil microbes allocate more C to respiration rather than growth. We found the qCO2 was significantly correlated with the biochar decomposition rate (r = 0.871, p < 0.01, n = 10), which indicated that the soil microbial metabolic trait exerted a greater influence than soil enzyme activities on biochar decomposition. Similarly, Chen et al. (2018) [51] suggested soil microbial carbon use efficiency rather than enzyme activity determined native SOC decomposition.
Consistent with the biochar stability, the hot-water-extractable OC was higher in 300 °C biochar than 500 °C biochar (Figure 4), which was similar to a previous study [14]. Pyrogenic organic matter was believed to encompass a range of combustion products, from slightly charred biomass that may still be accessible for microbial degradation, to highly condensed refractory soot [63]. The labile C contained in 300 °C biochar might activate soil micro-organisms [60], which might, in turn, stimulate the biochar decomposition as indicated by the correlation between biochar-derived hot-water-extractable OC and biochar decomposition rate.
The results of partial least-squares path modeling (PLSPM) indicated that chemical recalcitrance exerted a greater influence than the soil microbial community on biochar stability (Figure 5), which aligned with our initial hypothesis. Our result was consistent with a recent study which proposed that the OC fraction of biochar was more important than the microbial activity and viability in the determination of biochar OC oxidation through a 119-day incubation [12]. Similarly, Bamminger et al. (2014) [54] found that the biochar properties, especially the OC content, had a greater influence on its stability than the soil properties in a 57-day incubation. Although it has been reported that microbial metabolism and enzyme activities can influence the decomposition of biochar [58], the chemical recalcitrance of the carbon in biochar is the most important factor affecting the stability of biochar. Long-term incubation studies and field studies are required to obtain realistic estimates of biochar stability in mineral soils. Soil properties, such as pH, SOC, and clay content, are important factors affecting biochar stability [22].

5. Conclusions

In this study, the effects of chemical recalcitrance and the soil microbial community on the stability of biochars in an alkaline plantation soil were explored in a 60-day incubation by using the 13C tracing technique and PLS-PM analysis. The MRT of biochar pyrolyzed at 300 and 500 °C in the studied soil was estimated to be 49.4 and 231 years, respectively. PLS-PM analysis indicated that hot-water-extractable OC was the most important factor influencing the biochar decomposition rate. This study provides empirical evidence that the chemical recalcitrance of biochar has a greater influence on its stability than the soil microbial community in the short term. Further studies should examine the applicability of our finding in other soil types and under field conditions.

Author Contributions

Conceptualization, W.L.; software, F.Z. and W.L.; investigation, W.L. and F.Z.; validation, F.Z. and W.L.; data curation, W.L. and F.Z.; writing—original draft preparation, F.Z.; writing—review and editing, W.L.; visualization, F.Z. and W.L.; supervision, W.L. and F.J.; funding acquisition, W.L. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the National Natural Science Foundation of China (41701264), Natural Science Foundation of Huaian City, Jiangsu Province of China (HAB202164), and Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX23_1126).

Data Availability Statement

All data generated and analyzed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

We are grateful for the assistance of the Advanced Analysis and Testing Center, Nanjing Forestry University (AATU-NFU). We also thank the other members of our team for their assistance in the laboratory experiments.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Temporal variations of microbial respiration (a), and carbon dioxide (CO2) efflux (b) and cumulative emission (c) derived from biochars pyrolyzed at 300 °C (BS300) and 500 °C (BS500) amended to the poplar soil during 60 days of incubation. The different lowercase letters represent significant differences between treatments on the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
Figure 1. Temporal variations of microbial respiration (a), and carbon dioxide (CO2) efflux (b) and cumulative emission (c) derived from biochars pyrolyzed at 300 °C (BS300) and 500 °C (BS500) amended to the poplar soil during 60 days of incubation. The different lowercase letters represent significant differences between treatments on the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
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Figure 2. Temporal variations of β-D-glucosidase (a), cellobiosidase (b), laccase (c), and phenol oxidase (d) activity in soils without (Control) and with biochar pyrolyzed at 300 °C (BS300) and 500 °C (BS500) during 60 days of incubation. The different lowercase letters represent significant differences between treatments at the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
Figure 2. Temporal variations of β-D-glucosidase (a), cellobiosidase (b), laccase (c), and phenol oxidase (d) activity in soils without (Control) and with biochar pyrolyzed at 300 °C (BS300) and 500 °C (BS500) during 60 days of incubation. The different lowercase letters represent significant differences between treatments at the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
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Figure 3. Temporal variations of microbial biomass (a) and metabolic quotient (b) in soils without (Control) and with biochar pyrolyzed at 300 °C (BS300) and 500 °C (BS500) during 60 days of incubation. The different lowercase letters represent significant differences between treatments on the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
Figure 3. Temporal variations of microbial biomass (a) and metabolic quotient (b) in soils without (Control) and with biochar pyrolyzed at 300 °C (BS300) and 500 °C (BS500) during 60 days of incubation. The different lowercase letters represent significant differences between treatments on the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
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Figure 4. Temporal variations of the total (a), as well as biochar-derived (b), hot water-extractable organic carbon (OC) contents in soils with biochar pyrolyzed at 300 °C (BS300) and 500 °C (BS500) during 60 days of incubation. The different lowercase letters represent significant differences between treatments on the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
Figure 4. Temporal variations of the total (a), as well as biochar-derived (b), hot water-extractable organic carbon (OC) contents in soils with biochar pyrolyzed at 300 °C (BS300) and 500 °C (BS500) during 60 days of incubation. The different lowercase letters represent significant differences between treatments on the same incubation time (p < 0.05). The vertical error bars indicate the standard error (n = 3).
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Figure 5. Partial least-squares path model (PLS-PM) illustrating the effects of soil microbial activity, metabolic quotient (qCO2), and biochar-derived hot-water-extractable organic carbon (OC) on biochar stability in soils. The path coefficients are calculated after 1000 bootstraps and are reflected in the width of the arrows, with blue and red arrows indicating positive and negative effects, respectively. The path coefficients indicated by ** represent significant difference from 0 at p < 0.01. R2 indicates the proportion of variance explained for the latent variable of biochar stability. The numbers on the dashed arrows are the loading scores of the observed variables that create the latent variables. The PLS-PM is assessed using the Goodness of Fit statistic (0.458). CO2 and MBC represent carbon dioxide and soil microbial biomass carbon, respectively.
Figure 5. Partial least-squares path model (PLS-PM) illustrating the effects of soil microbial activity, metabolic quotient (qCO2), and biochar-derived hot-water-extractable organic carbon (OC) on biochar stability in soils. The path coefficients are calculated after 1000 bootstraps and are reflected in the width of the arrows, with blue and red arrows indicating positive and negative effects, respectively. The path coefficients indicated by ** represent significant difference from 0 at p < 0.01. R2 indicates the proportion of variance explained for the latent variable of biochar stability. The numbers on the dashed arrows are the loading scores of the observed variables that create the latent variables. The PLS-PM is assessed using the Goodness of Fit statistic (0.458). CO2 and MBC represent carbon dioxide and soil microbial biomass carbon, respectively.
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Table 1. Mean residence time and the proportions (%) of labile and recalcitrant fractions of biochars pyrolyzed at 300 °C (BS300) and 500 °C (BS500) amended to the soil estimated by fitting the cumulative mineralized biochar-C using a double-exponential model over 60 days of incubation a.
Table 1. Mean residence time and the proportions (%) of labile and recalcitrant fractions of biochars pyrolyzed at 300 °C (BS300) and 500 °C (BS500) amended to the soil estimated by fitting the cumulative mineralized biochar-C using a double-exponential model over 60 days of incubation a.
TreatmentLabile C
(%)
Recalcitrant
(%)
Labile C
(mg C kg−1)
Recalcitrant C
(mg C kg−1)
MRT of Labile C (d)MRT of Recalcitrant C (Year)R2
BS3000.39 ± 0.02 a,b99.61 ± 0.02 b22.4 ± 0.95 a5688 ± 0.95 b6.01 ± 0.30 a49.4 ± 0.68 b0.998
BS5000.03 ± 0.003 b99.97 ± 0.003 a2.09 ± 0.21 b6268 ± 0.21 a1.98 ± 0.19 b231 ± 5.18 a0.995
a Means ± standard errors (n = 3). b Different lowercase letters are significantly different at p < 0.05.
Table 2. Mean residence time of biochars in soils estimated by double first-order kinetics model.
Table 2. Mean residence time of biochars in soils estimated by double first-order kinetics model.
Raw MaterialPyrolysis
Temperature
Soil TypeIncubation
Time (Day)
Experiment
Type
MRT (Year)Reference
Wood (Eucalyptus
salinga)
450 °C and 550 °CVertisol120Laboratory 62~112 (450 °C)
100~248 (550 °C)
[9]
Wood (Eucalyptus saligna)450 °C and 550 °CInceptisol, Entisol, Oxisol, Vertisol365Laboratory 44~259 (450 °C)
126~610 (550 °C)
[25]
Wood (Eucalyptus saligna)450 °C and 550 °CInceptisol, Entisol, Oxisol, Vertisol730Laboratory 25~454 (450 °C)
93~1061 (550 °C)
[43]
Wood (Eucalyptus saligna)450 °CArenosol, Cambisol, and Ferralsol365 Field44~1079 (Arenosol), 18~172 (Cambisol), and 11~29 (Ferralsol)[44]
Rice straw500 °CLoamy, clay loam, and sand clay soils from plowing layers390 Laboratory 618~2829[45]
Wood (Eucalyptus Salinga)450 °C and 550 °CVertisolAbout 750Laboratory 314~713 (450 °C)
567~978 (550 °C)
[8]
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Zhang, F.; Lu, W.; Jin, F. Chemical Recalcitrance Rather Than Soil Microbial Community Determined Short-Term Biochar Stability in a Poplar Plantation Soil. Forests 2024, 15, 622. https://doi.org/10.3390/f15040622

AMA Style

Zhang F, Lu W, Jin F. Chemical Recalcitrance Rather Than Soil Microbial Community Determined Short-Term Biochar Stability in a Poplar Plantation Soil. Forests. 2024; 15(4):622. https://doi.org/10.3390/f15040622

Chicago/Turabian Style

Zhang, Fangchao, Weiwei Lu, and Fengjie Jin. 2024. "Chemical Recalcitrance Rather Than Soil Microbial Community Determined Short-Term Biochar Stability in a Poplar Plantation Soil" Forests 15, no. 4: 622. https://doi.org/10.3390/f15040622

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