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Article

Reduced Organic Carbon Content during the Evolvement of Calcareous Soils in Karst Region

by
Hui Yang
1,2,
Yincai Xie
1,2,
Tongbin Zhu
1,2,* and
Mengxia Zhou
1
1
Karst Dynamics Laboratory, MNR and Guangxi, Institute of Karst Geology, CAGS, Guilin 541004, China
2
International Research Centre on Karst, Under the Auspices of UNESCO, Guilin 541004, China
*
Author to whom correspondence should be addressed.
Forests 2021, 12(2), 221; https://doi.org/10.3390/f12020221
Submission received: 28 December 2020 / Revised: 9 February 2021 / Accepted: 11 February 2021 / Published: 14 February 2021
(This article belongs to the Special Issue Plant-Soil Feedbacks on Carbon and Nutrient Cycling in Forest Ecosystems)
Browse Figures
Versions Notes

Abstract

:
Understanding the changes in soil organic carbon (SOC) storage is important for accurately predicting ecosystem C sequestration and/or potential C losses, but the relevant information, especially for the evolvement of calcareous soil is limited in karst regions. Three calcareous soils with different evolvement intensities were sampled from an evergreen broadleaved forest in the subtropical region of southwest of China to investigate the changes in different SOC fractions and microbial communities. The results showed that: (1) The contents of SOC, dissolved organic carbon (DOC), mineral protected organic carbon (MOC), and recalcitrant organic carbon (ROC) significantly decreased with increasing evolvement intensity of calcareous soil, but pH and the chemical composition of SOC, including Alkyl C, O-alkyl C, Aromatic C, and Carbonyl C, did not significantly change, suggesting that various SOC fractions synergistically decrease with the evolvement of calcareous soil. (2) The evolvement of calcareous soil had a substantial negative effect on total phospholipid fatty acids (PLFA), bacteria (i.e., Gram positive bacteria and Gram negative bacteria), fungi, and actinomycetes, but did not affect the ratio of fungi to bacteria. This result supported the conclusion that various SOC fractions were synchronously loss with the evolvement of calcareous soil. (3) Results from the multivariate statistical analysis showed a significant correlation between SOC fractions (including SOC, DOC, MOC, and ROC) and soil base cations, mainly calcium (Ca), iron (Fe), and aluminum (Al). This strengthens the fact that SOC stability largely depends on the complex relationship between organic matter and mineral composition in soil. Taken together, the reduction of SOC during the evolvement of soil in the karst areas accords with some mechanisms of previous studies (e.g., microbial composition and soil geochemistry), and also has its own unique characteristics (e.g., the relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra and F:B ratio).

1. Introduction

Soil organic matter (SOM) is the core of soil quality, which is important to soil fertility, sustainable agricultural systems, climate change, and many other factors related to the survival and development of the earth and human beings [1]. Soils store climatically significant amounts of carbon (C) as SOM, which is about 2.3 times and 3.5 times greater than that in atmospheric CO2 and all living terrestrial plants [2]. The C sequestration in SOM is an effective atmospheric CO2 capture strategy [3]. SOM decomposition is one of the key ways for soil to release CO2 into the atmosphere, and then it has a significant impact on global climate change. Decomposition of SOM depends on soil environmental conditions and the accessibility of organic compounds to the decomposer community [4]. Considering the role of soil organic carbon (SOC) storage, many soil types such as Cambosols [5], permafrost soil [4], and Oxisols [6] have been widely investigated. However, these studies were mainly conducted in non-karst regions, but the relevant studies are limited in karst regions.
Karst accounts for 12% of the world’s total land area [7], and China has approximately 3.44 million km2 of karst areas, including buried, covered, and exposed carbonate rock areas, accounting for 15.6% of all karst areas in the world [8]. Karstification has a profound impact on global change. The formation of carbonate rocks has a dramatic sink effect on atmospheric CO2 throughout geological time [9]. Calcareous soil in karst regions is the product of dissolution and weathering of carbonate rocks [10,11]. Previous studies found higher SOC content in calcareous soil in karst region than other soils in non-karst regions at the same latitude [12]. Thus, calcareous soils in karst regions are considered to be C storage at the global scale. Noticeably, due to high spatial heterogeneity in karst regions, there were many types of calcareous soil, such as black calcareous soil (BLCS), brown calcareous soil (BRCS), and red calcareous soil (RCS) [13], which represent different evolvement intensities of calcareous soils. The SOC pools in different calcareous soils are not be evaluated systematically. During the evolvement of calcareous soil, the physicochemical properties of the soil, such as structure, SOC adsorption–desorption processes, and nutrient availability, obviously change, which can significantly influence SOC fractions and SOC dynamics. In addition, calcareous soil developed on carbonate rock is characterized by high pH and calcium (Ca) materials in karst regions [14], which may lead to the obvious differences in the SOC fraction compared to other soil types. The high dose Ca easily stabilizing karst SOM might result in the low decomposing rate of SOM [15]. As an example, Yang et al. (2016) [16] recently established that the concentration of SOC when developed on Ca rich, calcareous lithology contained nearly 2 folds higher than their acidic counterparts in alpine grassland soils in the Neotropical alpine ecosystem. Similarly, Yang et al. (2019) [14] demonstrated that Ca was the most important variable for C, N, and P stoichiometry calcareous soils of karst graben basins. Whittinghill and Hobbie (2012) indicated that both polyvalent cation concentration and pH likely influence microbial activity in tundra soils [17]. However, it remains unclear how SOC in different soil fractions changes during the evolvement of calcareous soil.
SOC decomposition is a process involving complex interactions of multiple factors and mechanisms, among which SOC quality, microbial properties, and environmental drivers are three primary sets [18,19]. Despite all the work conducted so far, our understanding of the determinants of calcareous soil decomposition is still limited by the following three aspects. First, SOC is a mixture of pools which can be divided into labile and recalcitrant SOC fractions based on the relative susceptibility to biological decomposition [20]. Given the different turnover rate and stabilization mechanism of different SOC fractions, the response of dynamics of labile and recalcitrant SOC during the evolvement of calcareous soil may be substantially different. Furthermore, changes in SOC fractions could influence both nutrient supply and soil C sequestration, it is necessary to fractionate and quantify the labile and recalcitrant fractions, which would facilitate our understanding of factors influencing SOC dynamics [21]. However, relatively few studies have attempted to investigate different fractions of SOC in response to calcareous soil evolvement.
Second, there is increasing evidence that SOC stability is largely dependent on the complex relationship between organic matter and mineral composition [22,23]. The adsorption of SOC to mineral bound by ligand exchange [24], polyvalent cation bond bridges [25], and complexation of organic ligand by free cation, including calcium ion (Ca2+), aluminum ion (Al3+), iron ion (Fe3+), and their mineral forms [15], is the primary chemical protection mechanism of SOC persistence. Previous studies have shown that the contents of base cations decrease with the evolvement of calcareous soil [26]. However, it remains unknown that how base cations affect SOC in different calcareous soils.
Third, the incomplete knowledge about the patterns of soil microbial communities in calcareous soil with different evolvement intensities limits our ability to understand the importance of microbial communities in regulating SOC decomposition. Microbial communities can greatly affect soil N and C cycling [27] and thereby alter SOC content of calcareous soil. The utilization of organic matter by soil microorganisms varies with different life history strategies. For instance, K-strategy microorganisms (e.g., fungi) mainly decompose recalcitrant SOC, while r-strategy microbes (such as bacteria) prefer to decompose some labile organic carbon [28]. Similar to fungi, actinomycete bacteria also produce lignin-degrading enzymes and can break down relatively recalcitrant substrates [28].
We assumed that (1) the SOC content in calcareous soils decreased with the evolvement of calcareous soil due to the depletion of base cations; (2) the microbial composition, mainly fungi, bacteria, and actinomycete bacteria, have close relationship with SOC and SOC fractions with the evolvement of calcareous soil, because lower microbial biomass would suppress microbial decomposition of litters and reduce the input of organic matter. To verify our hypotheses, BLCS, BRCS, and RCS, which represent the early, middle, and late evolvement stage of calcareous soil, respectively, were collected in a subtropical karst region of southwest of China. We explored the responses of soil chemistry, microbial community as assessed by phospholipid fatty acid (PLFA) analysis, and C stock in three soil fractions, including dissolved organic carbon (DOC), mineral protected organic carbon (MOC), and recalcitrant organic carbon (ROC). The result of the present study can contribute to a better understanding and prediction of soil C dynamics of calcareous soil in karst areas.

2. Materials and Methods

2.1. Study Area and Sample Collection

The study site was located in Maocun karst experimental site (25°10′11″–25°12′30″ N and 110°30′00″–110°33′45″ E), 30 km to the southeast of Guilin city, Guangxi province, southwest of China (Figure 1). It is characterized by a typical karst landscape and the topography is dominated by peak cluster depressions. This region has a typical subtropical monsoon climate with an average annual temperature of 18.6 °C and annual precipitation of 1980 mm [29].
Soil samples were collected from a peak cluster with an elevation of approximately 200 m asl and the slope between 200 and 450, including three typical calcareous soils with different soil evolvement stages, among which BLCS, BRCS, and RCS represent the early, middle, and late evolvement stages of calcareous soils, respectively. The details of the soil samples were shown in Table S1. The BLCS was Leptosols (calcareous soil) according to the FAO World Reference Base for Soil Resources [30], the BRCS was Luvisols, and RCS was Ferrisols. All soils were developed from thick dolomite of Donggangling Formation.
Field sampling was conducted according to a standardized sampling method [31]. Three representative sites for BLCS, BRCS, or RCS were sampled, respectively, to result in nine soil samples. The distance between sites was beyond 50 m. At each site, we set up five 1 m  ×  1 m quadrats, and soil samples (0–15 cm) were randomly collected using soil corers (5 cm in diameter) at 5–10 points within each quadrat depending on the actual distribution of calcareous soils, especially BLCS, which is mainly distributed in the cracks, and then all soils were mixed into one composite sample for each site. Fresh soil was passed through a 2 mm sieve, and stones and roots were removed to improve soil homogeneity.

2.2. Laboratory Analysis

Soil pH was determined at a 1:2.5 (w/v) soil/water ratio by a digital millivolt pH Meter-2 (DMP-2 mV/pH) detector (Quark Ltd., Nanjing, China). After removing carbonate using a pretreatment with 1 mol L-1 HCl, SOC and total N (TN) was analyzed by a Sercon SL C/N Elemental Analyzer. Cation exchange capacity (CEC) was analyzed by the ammonium acetate method at pH 7.0, and extracts were analyzed for exchangeable cations including exchangeable calcium (Caex), exchangeable aluminum (Alex), and exchangeable iron (Feex) by ICP-AES [32]. The free Fe and Al oxides (noted as Fed and Ald, respectively) were extracted with the Citrate Bicarbonate Dithionite system and were measured using ICP-AES [33]. The contents of aluminum oxide (Al2O3), silicon dioxide (SiO2), and ferric oxide (Fe2O3) in soil were determined using total X-ray fluorescence (XRF) spectroscopy.

2.2.1. Fractions of Soil Organic C

The content of stable organic C was estimated as the content of residual organic C (ROC) left after treatment with NaOCl [34,35]. The procedures and processes of separation and quantification of ROC and MOC were reported in Mikutta et al. [35]. It should be noted that the extraction by NaOCl refers to stable organic C and subsequently released by HF refers to MOC, whereas organic C not released by HF represents ROC. DOC was determined by deionized water (1:5 (w/v) soil/water ratio), and extracts were analyzed by multi N/C 3100 analyzer (Analytik Jena, Jena, Germany).

2.2.2. Chemical Characterization of Soil Organic C

We obtained solid-state nuclear magnetic resonance (NMR) spectra of bulk materials from all nine soil samples using a FT MR system (AVANCE III HD 400 Bruker BioSpin Corp., Ettlingen, Germany) using the cross polarization magic angle spinning (CPMAS) technique with 13C signal at 75.57 MHz, magic angle spinning of 5 kHz, a contact time of 2 ms, and a pulse interval of 34 s [36]. The NMR spectrum was divided into four chemical shift regions representative of the major type of carbon present in the samples following Wagai et al. (2013) [36]: 0–45 ppm (Alkyl C), 45–110 ppm (O-alkyl C), 110–160 ppm (Aromatic C), 160–220 ppm (Carbonyl C). The total signal intensity and the proportion contributed by each C type were determined by integration of the spectral regions.

2.2.3. PLFA Extraction and Analysis

We obtained soil microbial community of bulk materials from all nine soil samples using by assessing soil phospholipid fatty acids (PLFA) using a gas chromatograph (6890, Agilent, Santa Clara, CA, USA) [37,38]. The procedures and processes of separation and quantification of PLFA were reported in Chen et al. [39].

2.3. Statistical Analysis

Differences in physical and chemical characteristics, soil microbial community, relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra and various SOC fractions were assessed by one-way analysis of variance (ANOVA), followed by Duncan’s post hoc tests. Principal components analysis (PCA) was used to analyze soil microbial community and soil base cations with the calcarous soil evolvement intensities. Pearson correlation analysis was used to address the relationships among SOC fractions and soil base cations.

3. Results

3.1. Soil Physico-Chemical Properties

The SiO2/Al2O3 ratio (Sa) and SiO2/(Al2O3 + Fe2O3) ratio (Saf) in soil decreased significantly, while Fed/Fet increased significantly as BLCS evolved to RCS. As the evolvement of calcareous soil, SOC and TN contents were significantly reduced (p < 0.05), but pH did not change (p > 0.05). Meanwhile, as the evolvement of calcareous soil, the contents of Ca, Mg, Caex, Alex, and Feex, and CEC significantly decreased, with the lowest in RCS, but the contents of Fed and Ald significantly increased, with the largest in RCS (Table 1).

3.2. Soil Microbial Community Composition

The abundances of total PLFA, bacteria mainly containing Gram positive (GP) and Gram negative (GN) decreased with the evolvement intensities of calcareous soil (Figure 2a, Figure S1a–c). In addition, the abundances of fungi (Figure 2b), arbuscular mycorrhiza fungi (AMF; Figure S1d), and actinomycetes (Figure S1e) also decreased significantly as the evolvement of calcareous soil, but the ratios of fungi:bacteria (F:B) and GP:GN did not change (Figure 2c, Figure S1f). The PCA analysis showed that microbial community composition (Figure S2) was clearly different between RCS and the other two calcareous soils (which were similar between BLCS and BRCS).

3.3. The Changes in Soil Organic C during the Evolvement of Calcareous Soil

The DOC content decreased significantly from 55.4 ± 16.5 mg kg−1 in BLCS to 15.2 ± 2.7 mg kg−1 in RCS. In the three calcareous soils, the stable organic C ranging from 7.20–138 g kg−1 soil, accounted for average 54.9 ± 13.7% of the initial organic C (Table S3). The MOC accounted for 29.9–57.5% of the stable organic C, with a mean value of 43.1 ± 10.2%. The ROC content varied widely among three calcareous soils ranged from 3.08 g kg−1 in RCS to 59.0 g kg−1 in BLCS, accounting for 56.9 ± 11.1% of stable OC.
From BLCS evolved through BRCS to RCS, DOC, MOC, and ROC contents decreased significantly (Figure 3). However, Alkyl C, O-alkyl C, Aromatic C, or Carbonyl C had no significant difference among three calcareous soils (Figure 4).

4. Discussion

In this study, although bulk soil pH, the relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra, and F:B ratio did not significantly change with the evolvement of calcareous soil, the contents of SOC and related soil fractions significantly decreased, indicating that the responses of SOC fractions to calcareous soil evolvement were likely related with the differences in physico-chemical protection between these fractions and the various factors (e.g., base cations, microbial community, etc.). However, the chemical composition of organic C (i.e., Alkyl C, O-alkyl C, Aromatic C, and Carbonyl C) had no significant difference among three calcareous soils. This suggests that the chemical structure of each organic carbon maintains at a relative equilibrium state. The decrease of organic carbon content from BLCS, BRCS, to RCS is a process of synergistic decrease of each component.

4.1. The Changes in Microbial Community Composition during the Evolvement of Calcareous Soil

Our data found that calcareous soil evolvement had a substantially negative effect on total PLFA, bacteria (i.e., GP and GN), fungi, and actinomycetes, supporting our second hypothesis. Two potential reasons can explain why the abundance of microbial community decreased with the evolvement of calcareous soil. First, the bacterial community exhibited as disparate among calcareous soils with the leaching of Ca2+ and Mg2+ with the evolvement of calcareous soil [40]. Second, physicochemical characteristics are strongly linked to bacterial communities [41]. For example, water retention capacity greatly changes the oxygen diffusion in soil pores, and then affects microbial activity. In this study, from BLCS to RCS through BRCS, soil water holding capacity decreased significantly, and positively related with the abundances of total PLFA, bacteria, fungi, and actinomycetes (Figure S4), supporting the important role of soil water in microbial growth. The F:B ratio had no significant differences among three calcareous soils, which may be attributed to non-significant change in pH. The previous studies found the fungal:bacterial ratio was mainly affected by soil pH [40,42]. In this study, pH value was in the range of neutral to alkaline (7.01–7.25) and there was no significant difference among three calcareous soils. These results suggest that the bacteria and fungi decrease possibly at the same proportion as the evolvement of calcareous soil.

4.2. The Changes in Various SOC Fraction during the Evolvement of Calcareous Soil

Results from our study showed that various SOC fractions (e.g., SOC, DOC, MOC, and ROC, etc.) decreased from BLCS to RCS through BRCS, which was consistent with our first hypothesis. Two possible reasons were proposed to explain this finding. First, results from the correlation analysis showed the significant correlation between SOC fractions (SOC, DOC, MOC, and ROC) and soil base cations (Caex, Feex, and Alex) (Figure 5). This indicates that mineral composition plays an important role in the stability of organic carbon. This is consistent with the previous research results, e.g., complexation of organic ligand by free Ca2+, Al3+, Fe3+ and their mineral forms polyvalent cation bond bridges, and the adsorption of SOC to minerals bound by ligand exchange [15,24,25], etc. In addition to Fe and Al oxides, Ca2+ can also constrain SOM availability by forming both inner- and outer-sphere cation bridging [15], and its protective effect can outweigh Fe/Al oxides in neutral to alkaline soils. Additionally, these oxides and cations can accelerate the formation of stable aggregates by their cementation of other minerals [43,44], which results in the compartmentalization of substrates from enzymes and restricts the diffusion of oxygen, thus decreasing SOM decomposition. The present study showed that Caex, Feex, and Alex reduced with the evolvement of calcareous soils, suggesting that the stabilization of SOC by adsorption to minerals through polyvalent bridging (especially Ca2+, Al3+, and Fe3+) may decline [15,45]. Second, soil microorganism community composition, including PLFA, bacteria, and fungi, was positively correlated to SOC fractions (Figure S5), which could strengthen the opinion that the soil microbial residues as an important source of organic C input to calcareous soil C pools. Together, these factors from our results indicated that the loss of SOC fractions may be caused by the combined effect of slowdown of chemical absorption of SOC to minerals through polyvalent under leaching and weathering and microbial C inputs decrease during the evolvement of calcareous soil.

5. Conclusions

Our study emphasized the susceptibility of SOC pools to soil evolvement, however, soil evolvement did not change the relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra and F:B ratio in the karst region. Moreover, our study clearly showed that the important role of extractable cations (e.g., extractable Ca2+, Al3+, and Fe3+) in affecting soil C storage. Taken together, on the one hand, the stability of SOC in the karst area accords with some mechanisms of previous studies (e.g., microbial composition and soil geochemistry), on the other hand, it has its own unique characteristics (e.g., the relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra and F:B ratio). In the future research, combining these features could be better for understanding and predicting the soil C dynamics in karst areas. This result provides expanded guidance on the practice of ecological restoration in karst rocky desertification regions.

Supplementary Materials

The following are available online at https://www.mdpi.com/1999-4907/12/2/221/s1, Figure S1: Effects of different calcareous soils on the abundance of soil microbial groups (indicated by PLFA) in the subtropical evergreen broadleaved forest of southwest of China. Figure S2: Principal component analysis (PCA) of microbial phospholipid fatty acids (PLFAs, vectors with different color lines). Figure S3: Principal component analysis (PCA) of extractable cations (vectors with different color lines). Figure S4: Correlation of microbial phospholipid fatty acids with water holding capacity in the subtropical karst area of southwest China. Figure S5: Correlation of SOC fractions with microbial phospholipid fatty acids in the subtropical karst area of southwest China. Table S1: Basic information of the study area and sampling sites. Table S2: The phospholipid fatty acids detected in this study (Chen et al., 2020). Table S3. Total organic C (OC), nitrogen (N), and C/N ratios of OM fractions.

Author Contributions

Conceptualization, T.Z. and H.Y.; methodology, H.Y.; investigation, Y.X.; writing—original draft preparation, H.Y.; writing—review and editing, T.Z.; experiments—M.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Natural Scientific Foundation of Guangxi Zhuang Autonomous Region of China under Grant No. 2017GXNSFAA198153 and GuikeAD19245176, Natural Scientific Foundation under Grant No. 41702281, and the Special Fund for Basic Scientific Research of Institute of Karst Geology, CAGS (No. 2020004), the Guilin Scientific Research and Technology Development Project (No. 20180101-3).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy.

Conflicts of Interest

The authors declare that they have no known competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.

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Figure 1. Location of sampling sites in Guilin county, Guangxi Zhuang Autonomous Region.
Figure 1. Location of sampling sites in Guilin county, Guangxi Zhuang Autonomous Region.
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Figure 2. Effects of soil evolvement of calcareous soil on the concentrations of bacterial phospholipid fatty acid (PLFA) (a), fungal PLFA (b), and the fungi to bacteria ratio (c) in the subtropical karst area of southwest China. Values are means with standard error (SE), n = 3. Different lowercase letters denote significant difference at p < 0.05 level among different calcareous soils. BLCS, BRCS, and RCS represent black calcareous soil, brown calcareous soil, and red calcareous soil, respectively, the same below.
Figure 2. Effects of soil evolvement of calcareous soil on the concentrations of bacterial phospholipid fatty acid (PLFA) (a), fungal PLFA (b), and the fungi to bacteria ratio (c) in the subtropical karst area of southwest China. Values are means with standard error (SE), n = 3. Different lowercase letters denote significant difference at p < 0.05 level among different calcareous soils. BLCS, BRCS, and RCS represent black calcareous soil, brown calcareous soil, and red calcareous soil, respectively, the same below.
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Figure 3. Different fractions of soil organic carbon (SOC) in the subtropical karst area of southwest China. (a) SOC in bulk soil; (b) SOC in dissolved organic carbon (DOC); (c) SOC in mineral protected organic carbon (MOC) or MOC per gram bulk soil; (d) SOC in recalcitrant organic carbon (ROC) or ROC per gram bulk soil. Values are means with standard error (SE), n = 3. Different lowercase letters denote significant difference at p < 0.05 level among different calcareous soils.
Figure 3. Different fractions of soil organic carbon (SOC) in the subtropical karst area of southwest China. (a) SOC in bulk soil; (b) SOC in dissolved organic carbon (DOC); (c) SOC in mineral protected organic carbon (MOC) or MOC per gram bulk soil; (d) SOC in recalcitrant organic carbon (ROC) or ROC per gram bulk soil. Values are means with standard error (SE), n = 3. Different lowercase letters denote significant difference at p < 0.05 level among different calcareous soils.
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Figure 4. Relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra. (a) Alkyl C in chemical shift regions of CPMAS 13C-NMR spectra; (b) O-alkyl C chemical shift regions of CPMAS 13C-NMR spectra; (c) Aromatic C chemical shift regions of CPMAS 13C-NMR spectra; (d) Carbonyl C chemical shift regions of CPMAS 13C-NMR spectra.
Figure 4. Relative contribution of carbons to chemical shift regions of CPMAS 13C-NMR spectra. (a) Alkyl C in chemical shift regions of CPMAS 13C-NMR spectra; (b) O-alkyl C chemical shift regions of CPMAS 13C-NMR spectra; (c) Aromatic C chemical shift regions of CPMAS 13C-NMR spectra; (d) Carbonyl C chemical shift regions of CPMAS 13C-NMR spectra.
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Figure 5. Correlation of fractions of SOC with base cation in the subtropical karst area of southern China. Caex, Feex, and Alex represents exchangeable Ca, Fe, and Al, respectively.
Figure 5. Correlation of fractions of SOC with base cation in the subtropical karst area of southern China. Caex, Feex, and Alex represents exchangeable Ca, Fe, and Al, respectively.
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Table
Table 1. Physical and chemical characteristics in black calcareous soils (BLCS), brown calcareous soils (BRCS), and red calcareous soils (RCS).
Table 1. Physical and chemical characteristics in black calcareous soils (BLCS), brown calcareous soils (BRCS), and red calcareous soils (RCS).
ParameterBLCSBRCSRCS
Soil qualitySOC (g C kg−1)233 ± 62.6 a60.4 ± 9.72 b13.7 ± 0.83 b
TN (g N kg−1)19.9 ± 4.80 a5.41 ± 0.72 b1.69 ± 0.03 b
C/N11.6 ± 0.39 a11.1 ± 0.36 a8.10 ± 0.61 b
CEC (cmol kg−1)56.6 ± 8.58 a28.4 ± 2.36 b14.8 ± 0.69 c
pH7.20 ± 0.05 a7.14 ± 0.11 a7.13 ± 0.11 a
WHC (%)165.62 ± 30.43 a106.09 ± 2.9 b88.03 ± 6.96 b
Nutrient elementsCa (g kg−1)58.4 ± 13.1 a18.8 ± 12.9 b5.72 ± 3.41 b
Mg (g kg−1)19.9 ± 1.00 a19.2 ± 3.89 a11.9 ± 1.18 b
K (g kg−1)6.55 ± 0.80 a5.94 ± 0.70 a7.09 ± 0.25 a
P (mg kg−1)2992 ± 751 a1206 ± 239 b807 ± 59.2 b
Weathering indicesFe (g kg−1)56.0 ± 12.0 c81.4 ± 6.59 b106 ± 3.95 a
Al (g kg−1)65.1 ± 23.7 c128 ± 10.7 b171 ± 2.14 a
Free Fe (g kg−1)23.4 ± 7.98 c44.2 ± 7.73 b69.9 ± 5.02 a
Free Al (g kg−1)4.79 ± 1.50 c8.19 ± 1.79 b13.3 ± 0.28 a
Caex (g kg−1)4.31 ± 1.72 a0.74 ± 0.65 b0.15 ± 0.16 b
Alex (mg kg−1)39.8 ± 17.0 a5.25 ± 1.95 b1.43 ± 0.60 b
Feex (mg kg−1)32.6 ± 11.0 a2.39 ± 0.77 b1.04 ± 0.98 b
Si (g kg−1)202 ± 4.80 b221 ± 6.69 a206 ± 1.80 b
Fed/Fet0.41 ± 0.05 c0.54 ± 0.05 b0.66 ± 0.03 a
Sa SiO2/Al2O36.44 ± 1.95 a3.33 ± 0.35 b2.32 ± 0.01 b
Saf SiO2/(Al2O3 + Fe2O3)4.47 ± 1.19 a2.55 ± 0.25 b1.79 ± 0.01 b
WHC, water holding capacity; CEC, cation exchangeable capacity; Fed/Fet = Free iron (Fed)/the total iron content (Fet); Caex, Exchangeable Ca2+; Alex, Exchangeable Al3+; Feex, Exchangeable Fe3+; BLCS, BRCS, and RCS represent black calcareous soils, brown calcareous soils, and red calcareous soils, respectively. Different lowercase letters in the same row denote significant difference at p < 0.05 level among different calcareous soils.
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Yang, H.; Xie, Y.; Zhu, T.; Zhou, M. Reduced Organic Carbon Content during the Evolvement of Calcareous Soils in Karst Region. Forests 2021, 12, 221. https://doi.org/10.3390/f12020221

AMA Style

Yang H, Xie Y, Zhu T, Zhou M. Reduced Organic Carbon Content during the Evolvement of Calcareous Soils in Karst Region. Forests. 2021; 12(2):221. https://doi.org/10.3390/f12020221

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Yang, Hui, Yincai Xie, Tongbin Zhu, and Mengxia Zhou. 2021. "Reduced Organic Carbon Content during the Evolvement of Calcareous Soils in Karst Region" Forests 12, no. 2: 221. https://doi.org/10.3390/f12020221

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