Literature DB >> 32551098

Differences in the ratio of soil microbial biomass carbon (MBC) and soil organic carbon (SOC) at various altitudes of Hyperalic Alisol in the Amazon region of Ecuador.

Benito Mendoza1, Jaime Béjar2, Daniel Luna1, Miguel Osorio2, Mauro Jimenez1, Jesus R Melendez3,4.   

Abstract

Protecting soil fertility represents a fundamental effort of sustainable development. In this study we investigate how different altitudes affect soil microbial biomass carbon (MBC) and soil organic carbon (SOC), and their ratio, MBC/SOC in Hyperalic Alisol. MBC and SOC are well established and widely accepted microbial quotients in soil science. Our work hypothesis was that a decrease in MBC and SOC should be observed at higher altitudes. This initial assumption has been verified by our measurements, being attributed to the increase in MBC and SOC at low altitudes. Our approach should contribute to the better understanding of MBC and SOC distribution in soil and changes in MBC/SOC at various altitudes in the region. Copyright:
© 2020 Mendoza B et al.

Entities:  

Keywords:  Hyperalic Alisol; MBC/SOC ratio; and Amazon region Ecuador; microbial biomass carbon (MBC); rainforest; soil organic carbon (SOC)

Year:  2020        PMID: 32551098      PMCID: PMC7281642          DOI: 10.12688/f1000research.22922.1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


Introduction

Protection of soil quality is a pillar of sustainable development [1– 3]. Recent studies considered effects of minerals [4– 6] and soil cultivation techniques [7, 8] on soil quality and soil microbial activity [9– 12]. These studies reported interactions between soil minerals and decomposition of organic matter; positive correlations between soil microbial activity (measured by number of bacteria and fungi, soil respiration, and C and N cycle-related enzyme activity) and cultivation methods, and fertilizer usage. The undertaken efforts in agriculture practice, offer favorable conditions for soil-plant interactions. Additionally, these studies on soil respiration and enzymatic activity report correlation analyses between soil properties and microbial activity, documenting that soil quality is mainly determined by soil microbial activity, as verified by other authors’ work [13– 15]. A highly cited review paper on the topic [16] concludes that soil processes and properties are affected by climate change, which causes changes in soil organic matter (SOM) and microbial biomass carbon (MBC). Based on this, one can state that monitoring the soil carbon cycle is of increasing importance, given that microbial processes in soil may serve as an indicative of climate change. Among processes to be monitored, decomposition of organic matter is of primary significance [17], considering that this process is strongly influenced by soil microbiological activity. Soil management is another research area of increasing interest [18] owing to its significance in soil microbial activity [19] that can be expressed by enzymatic activity, soil respiration, and MBC [11]. Local farmers have demonstrated willingness to start permaculture systems involving tropical orchards, like those previously operated successfully in another plant, Guayusa ( Ilex guayusa) [20], in the Amazon region. Because of the sensitivity of orchards to nutrient deficiency [21– 23] we believe that measuring soil microbial activity is of priority when analyzing soil properties, as soil microbial activity is in strong correlation with nutrient uptake in plants [24]. For this reason, monitoring changes of soil MBC and soil organic carbon (SOC) allow to select favorable locations for orchard plantation in permaculture systems, contributing to sustainable agricultural practices. MBC is the living microbial component of soil organic matter [25] and is considered an indicator of microbial activity, owing to its rapid response (less than a year turnover time) to conditions that may alter soil organic matter [26]. SOC contributes positively to soil fertility and crop production [27]. Here we report variations with altitude of MBC, SOC, and MBC/SOC in Hyperalic Alisol.

Methods

Soil sampling

We were inspired by a prior study conducted in 2018 [28], in which soil properties at various altitudes were measured in the region. We collected samples at similar altitudes as in the prior study [28] (395, 1006, and 1554 m.a.s.l, meters above sea level) to gather data on soil properties at different altitudes. We collected 15 soil samples, 5 from each altitude, following the protocol proposed by Singla and co-workers [28], where a minimum of 3 sampling points per altitude were recommended: 420, 1000, and 1600 m.a.s.l. in the Ecuadorian Amazonian region (latitude: 4.628247894396525; longitude: -74.95615214109422), on December 10, 2019. Homogeneous soil populations can be used for analysis, when sample size (s) = 15, as determined by Cline (1944) [29] ( Equation 1): Where, r n, r 1 are the extremes of the range of a parameter, C is a constant, equal to 3, 4, 5, and 6 for 10, 25, 100, and 500 sampling units, respectively (Cine, 1944) [29]. To estimate extremes of a given range, we used prior literature data [24] rom a study performed in the Amazon region in which SOC values vary between 34.69 and 54.62. Cline (1944) [29] recommended the use of 20 samples, when the range of parameter is 110. In our case, counting with 19.93 range value obtained from a prior study in the region [24] Equation (1) becomes s = 19.93/4 = 4.98 ~ 5 samples. So, the total number of samples for the study is Total number of Samples = 5 samples multiplied with the three altitudes, yielding a number of 15 sampling points. Samples originated from the upper layer (top 20 cm) of Hyperalic Alisol (Ultisols in U.S. Soil Taxonomy) soil. Sampling points and physical-chemical soil properties were described in a prior study [30], parameters being in the following ranges: pH 4.99–5.98; moisture content: 43.9–66.6 %; Allophane: volcanic; and total Fe content (mg/kg): 367–1104.

MBC/SOC

MBC was measured in quadruplicate (see supporting data) by the fumigation-incubation method, according to Jenkinson and Powlson [31]. Briefly, four aliquots of oven-dried (105 °C for 24 h) soil samples (25 g each) were placed into glass vials, two aliquots being fumigated with CHCl 3 (Fisher Scientific, 67-66-3,64-17-5) at room temperature, while two aliquots were kept untreated at 2 °C for 24 h. All samples were incubated at 25 °C for 10 days, in the dark. Their respiration was measured after incubation with Barcroft-type (differential) respirometer, which enables simultaneous measurements of gas volume in real-time [32]. Produced raw CO 2 values (SIR) were read by Respirometer software RV10 (version 10.03) obtaining data directly from the respirometer’s electronic sensor (model: Respicond VIII, Nordgren Innovations, Sweden). Soil respiration of both fumigated and unfumigated samples were calculated from SIR values according to Anderson and Anderson (1978) [32] using the equation ( Equation 2): MBC was calculated by dividing the difference in soil respiration between fumigated and unfumigated samples with 0.38 according to Jenkinson and Powlson [31] ( Equation 3): Where, Fumigated is the produced CO 2 by fumigated soil samples, expressed in C µg/ml. Unfumigated is the produced CO 2 by not fumigated soil samples, expressed in C µg/ml. To calculate SOC we determined humus content according to Székely et al. [33]. In this procedure, 1.0 g of air-dried soil was placed into a 300-mL Erlenmeyer flask. Then, 10. mL of 5% K 2Cr 2O 7 (Fisher Scientific, 7778-50-9) solution was added and mixed with the soil. Next, 20 mL of concentrated H 2SO 4 (Fisher Scientific, 7664-93-9) were supplemented, and mixed with 100. mL distilled water. Solution was filtered with Grade 42 Whatman slow filter paper (pore size 2.5 μm) and analyzed with Model 240Z Atomic Absorption Furnace Spectrophotometer (Agilent), from 230 to 700 nm, and absorbances at 600 and 400 nm ( E and E ), respectively, correspond to A,B, P, and Rp types of humic acids, relevant to humus content, according to Watanabe et al. [34]. Humus content varied from 2.34 (at 1600 m.a.s.l.), to 4.82, at lower laying areas (420 m.a.s.l.) (see raw data in Supporting material.) From the obtained humus content, we calculated SOC, using a conversion factor, according to Walkley and Black [35] ( E3): MBC/SOC quotient was determined by dividing MBC with SOC.

Statistical analysis

Linear regression (Z-test) was performed to reveal possible statistical differences (p<0,05) between parameters and altitudes, using SPSS (version 26).

Results and discussion

Our results are similar in magnitude with prior studies in the Amazonian region [36]; the lowest SOC and MBC values are observed at the highest altitude (1600 m.a.s.l.): 1.77% and 267.3 mg/kg, where the average MBC/SOC is 161.17. At 1000 m.a.s.l. both SOC and MBC increased; SOC augmented by 74%, while MBC by 45%. Average MBC/SOC increased to 268.2. At the lowest altitude (420 m.a.s.l.) both SOC and MBC reached their highest values: 3.65% and 2214.4 mg/kg, respectively. The average MBC/SOC also reached its maximum: 667.8. Altitude significantly affects both SOC (R 2 = 0.95) with p< 0.0001 and MBC (R 2 = 0.89) with p< 0.0001 ( Table 1 [37]).
Table 1.

Correlation coefficients (R 2) between soil properties and altitudes.

* represents significant correlation at 95% probability as accepted in agriculture [31]. Note: humus % is not included in the table, given that SOC is calculated from humus %, as indicated in the methods section.

VariablesAltitudeSOCMBCMBC/SOC
Altitude10.95*0.890.88
SOC0.95*10.850.8
MBC0.890.8510.98*
MBC/SOC0.880.80.98*1

SOC - soil organic carbon, MBC - microbial biomass carbon

Correlation coefficients (R 2) between soil properties and altitudes.

* represents significant correlation at 95% probability as accepted in agriculture [31]. Note: humus % is not included in the table, given that SOC is calculated from humus %, as indicated in the methods section. SOC - soil organic carbon, MBC - microbial biomass carbon MBC/SOC increases with decreasing altitude ( Figure 1 [37]), which means that MBC increases more rapidly with decreasing altitude than SOC. As MBC corresponds to microorganisms’ weight (mainly bacteria and fungi), and is estimated at approx. 5% of the SOC [32], the increased MBC value indicates faster microbial activity at lower laying sampling points. This finding yields three main observations:
Figure 1.

Changes in microbial biomass carbon (MBC)/soil organic carbon (SOC) at different altitudes.

Samples numbered correspond to the following altitudes 1–5: 420 m.a.s.l.; 6–10: 1000 m.a.s.l.; 11–15: 1600 m.a.s.l.

Organic matter decomposition is accelerated by soil microbial activity [38, 39] in lower-laying areas, because of more favorable conditions [40] offered to cellulose decomposing bacteria. Presence of these bacteria is confirmed by MBC/SOC increase at lower altitudes, reported here. Microbial carbon increases more significantly than organic carbon, which suggests increased microbial activity [40]. Availability of SOC depends on soil properties, and soil depth [41], rather than on altitude or coverage [42]. SOC may also depend on several other soil properties, therefore, enzymatic activities and physical-chemical soil properties should be measured. Total iron increases with decreasing altitude, as well [30]. With these findings in MBC/SOC value changes, general leaching can be documented. Metabolic efficiency depends on the availability of substrate (organic matter). The greater the MBC, the greater the temporary immobilization of micro and macro-nutrients [43– 46]. To confirm this, immobilization of nutrients should be measured in soil-plant interactions (mainly uptake), as planned for future work in which orchards will be investigated, given the local farmers’ need to plantation in the area and the particular sensitivity of orchards to nutrient deficiency [21– 23].

Changes in microbial biomass carbon (MBC)/soil organic carbon (SOC) at different altitudes.

Samples numbered correspond to the following altitudes 1–5: 420 m.a.s.l.; 6–10: 1000 m.a.s.l.; 11–15: 1600 m.a.s.l.

Conclusions

Altitude affects SOC significantly. Decrease in MBC/SOC quotient is observed with increasing altitude. From obtained results we can conclude that lower-laying areas favor increased soil microbial activity. We recommend lower-laying areas for orchard plantations, considering that orchards are particularly sensitive to nutrient deficiency [47], while soil microbial activity is in strong correlation with nutrient uptake in plants [24].

Data availability

Underlying data

Figshare: Supporting raw data for MBC and SOC. Dataset. https://doi.org/10.6084/m9.figshare.12264698.v1 [37]. This project contains the following underlying data: Supporting Data_ Melendez-V3.xlsx (raw respiration data for MBC calculation and ABS raw data for humus % and SOC calculation) Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). A very accurate latitude and altitude data are given for the location of the site, which belongs to one specific site; however, there are 3 different altitudes in the text, at which 3-3 sampling points per altitude were mentioned. In the Material and Method, it would have been good to include a site description section, in which the vegetation of the study area could have been described. Also describing what is grown in agricultural areas; how much biomass remains in the area; how long the natural vegetation has been removed (since when the area has been under cultivation). It would be good to know if there was a difference between the slope of each slope because this can also affect SOM and MBC through erosion. Soil moisture and temperature fundamentally affect the MBC of soils, so it would be good to mention the values for specific sites in this manuscript as well. Furthermore, it would be good to know the particle composition of the soil, as the rate of the clay fraction significantly influences the SOC content. The above-mentioned variables and parameters can all influence the final result. Is the work clearly and accurately presented and does it cite the current literature? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Is the study design appropriate and is the work technically sound? Partly Are the conclusions drawn adequately supported by the results? Yes Are sufficient details of methods and analysis provided to allow replication by others? Partly Reviewer Expertise: Soil ecology, soil carbon content I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. The authors report changes in soil microbiological parameters and their ratio at different altitudinal levels of the Ecuadorian Amazon region. The study is well written and straightforward; anyways, in parts needed to be improved to increase readability, and lead readers to better understand the importance of the research findings. First, in the introduction, authors discuss the role of MBC and, then SOC in assessing soil microbiological activity, but what missing for me is the lack of explaining their ratio MBC/SOC as a microbial indicator. The importance of ratio is mentioned in the paper, but its role is unclear. Up to date and relevant literature is cited. Methods are well written, but missing some information. How many samples were measured for MBC and SOC, 15 (as sampled) in quadruplicated? It is not clear until we open the supporting material. Observation: generally in mobilization studies, apart from the altitudinal variant, sampling depths are also involved in the analysis. It is not clear to me why the authors disregarded different depths in the study that could provide a more complex image of examined changes. Results are presented logically, and succinctly. Conclusions are correct. Overall, it can be said that it is a well-designed study. In any case, I suggest making the following minor changes before article indexing: Expand introduction, and highlight the role of ratio MBC/SOC. State number of samples used for biomass analyses. Please clarify why depth was not involved in the analysis. Is the work clearly and accurately presented and does it cite the current literature? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Partly Reviewer Expertise: NA I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.
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