Effect of Land Use on Organic Carbon Storage Potential of Soils with Contrasting Native Organic Matter Content

Yeasmin, Sabina; Jahan, Eshara; Molla, Md. Ashik; Islam, A. K. M. Mominul; Anwar, Md. Parvez; Or Rashid, Md. Harun; Chungopast, Sirinapa

doi:https://doi.org/10.1155/2020/8042961

International Journal of Agronomy

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Abstract Introduction Materials and Methods Results and Discussion Conclusion Data Availability Disclosure Conflicts of Interest Authors’ Contributions Acknowledgments Supplementary Materials References Copyright Related Articles

Research Article | Open Access

Volume 2020 | Article ID 8042961 | https://doi.org/10.1155/2020/8042961

Effect of Land Use on Organic Carbon Storage Potential of Soils with Contrasting Native Organic Matter Content

Sabina Yeasmin,^1,2Eshara Jahan,^1,2Md. Ashik Molla,^1,2A. K. M. Mominul Islam,^1,2Md. Parvez Anwar,^1,2Md. Harun Or Rashid,¹and Sirinapa Chungopast³

Academic Editor: David Clay

Received26 Dec 2019

Accepted10 Mar 2020

Published31 Mar 2020

Abstract

This study aimed to determine the impact of land use on organic carbon (OC) pools of soils with contrasting native organic matter (OM) content. Surface (0–15 cm) soils of four land uses (cropland, orchard, grassland, and fallow) were collected from four agroecological zones (AEZs) of Bangladesh with different OM content (AEZ-7: very low, −3: low, −9: medium, and −5: high). Bulk soils were physically fractionated into particulate and mineral associated OM (POM and MOM: >53 and <53 µm, respectively). Both bulk and fractionated soils were analyzed for OC and nitrogen (N). Among the land uses, undisturbed soils (grassland and fallow land) had significantly higher total OC (0.44–1.79%) than disturbed soils (orchard and cropland) (0.39–1.67%) in all AEZs. The distribution of OC and N in POM and MOM fractions was significantly different among land uses and also varied with native OM content. In all AEZs, cropland soils showed the lowest POM-C content (0.40–1.41%), whereas the orchard soils showed the highest values (0.71–1.91%). The MOM-C was highest (0.81–1.91%) in fallow land and lowest (0.53–1.51%) in orchard, and cropland had a moderate amount (0.70–1.61%). In croplands, distribution of a considerable amount of OC in the MOM pool was noticeable. These findings reveal that total OC in soils can be decreased with cultivation but does not inevitably indicate the loss of OC storage in the stable pool. Carbon storage potential of soils with both high- and low-native OM contents can be increased via proper land use and managements.

1. Introduction

Soil carbon (C) sequestration, i.e., the process of capturing and storing of atmospheric CO₂ in soil for a long term [1] is one of the potential options for slowing the rise of CO₂ concentrations in the atmosphere. Soil is the largest reservoir of C, storing approximately 53% of the terrestrial C [2]. However, whether the soils will act as a sink or as a source of CO₂ is highly dependent on several factors, including soil properties and land use [3–5].

Land use and vegetation type vastly influence soil disturbance and C dynamics. Land use and management that exerts the least soil disturbance contributes to increase soil OC accumulation, while intensive disturbance results in lower soil OC and consequent soil degradation [6]. Land use change from native ecosystem (grassland/forest) to cultivated ecosystem causes loss of soil C up to 50% [6–9]. On the other hand, vegetation development on abandoned agricultural land enhances the C sequestration [2]. Cultivated systems may reduce C contents due to reduced yearly C input and increased mineralization due to surface disturbance [10]. However, the extent of the land use effect on soil C is not always equal in all soils. Soils could vary in mineral composition, microbial population, native organic matter (OM) content, etc. Among all properties, native soil OM content is an important factor for soil OC accumulation. Native soil OM levels reflect the balance of C inputs and C losses under natural conditions. Soils can sequester additional C through increasing C input and/or decreasing C harvest by practicing improved land use and crop management. Levels of C in long-term grassland, pastoral land, and even agricultural land can exceed their native C with proper land use and management system [11]. Several long-term field experiments reported a proportional relationship between C inputs and soil native C content [12,13], some experiments in high C soils showed little or no increase in soil C content with 2 to 3-fold increases in C inputs [13,14]. Hence, native soil C levels may not be an appropriate measure of the ultimate C sink capacity of soils. Individual soil has a limit for maximal C storage, it is called C saturation limit which is related to the maximum ability of soil aggregates and clay minerals for soil OC protection, as for example, organo-mineral interactions [15–17].

Generally, plant biomass is the primary source of soil OC. When biomass decomposes, it is incorporated into soil OC. Some parts of OC degrade easily, known as labile OC, whereas another part decomposes slowly takes hundreds to thousand years, known as stable OC [18]. The stable OC is protected from decomposition mainly through different stabilization mechanisms and contribute to C sequestration. Labile OC is presumably more sensitive to land use change compare to the stable OC [19]. Therefore, considering the total soil OC as a homogenous single pool overlooks the difference in relative abundances and potentiality of the distinct sequestered OC pool in response to land use system [20,21].

Numerous works has been done on studying the effect of land use on soil OC. But most of them have focused on either the changes in total soil OC [22–24] or did not take into account soil variability or even generalized land use and management practices for soils with variable native OM. Therefore, this study aimed to evaluate the effect of existing land use on soil C storage potential in soils with contrasting native OM content. The objectives of this present study were: (a) to quantify total OC, easily degradable (labile) and relatively sequestered C (stable), in the selected soils, (b) to evaluate the land use impact on total and two different OC pools (labile and stable) in the selected soils, and (c) to examine the C storage potential in soils with different native OM contents.

2. Materials and Methods

2.1. Sampling Sites

Soil samples were collected from farmers field in agroecological zones (AEZ)–7 (active Brahmaputra-Jamuna floodplain), 3 (Tista Meander floodplain), 9 (Old Brahmaputra floodplain), and 5 (lower Atrai basin) to represent soils with very low (<1%), low (1–1.7%), medium (1.7–3.5%), and high (>3.5%) OM content [25]. For representing AEZ-7, Sonatola Upazila, Bogra, for AEZ-3, Pirganj Upazila, Rangpur, for AEZ-9, Bangladesh Agricultural University, Mymensingh, and for AEZ-5, Adamdighi Upazila, Bogra, Bangladesh locations were selected (Figure 1). The climate is characterized as the subtropical monsoon with moderately high temperature and heavy rainfall during summer and low rainfall with moderately low temperature during the winter season.

Figure 1

Geographical location of the selected sites of Bangladesh. Four coloured regions are showing the four selected agroecological zones (AEZs) of Bangladesh. The black dots are showing the position of the selected upazila (a subunit of a district in Bangladesh) in four AEZs: AEZ-7 (active Brahmaputra-Jamuna floodplain) = Sonatola Upazila, Bogra, AEZ-3 (Tista Meander floodplain) = Pirganj Upazila, Rangpur, AEZ-9 (Old Brahmaputra floodplain) = Bangladesh Agricultural University, Mymensingh, and AEZ-5 (lower Atrai basin) = Adamdighi Upazila, Bogra, Bangladesh.

A base survey was conducted in the selected upazilas to find out the most prevalent soil type, topography, and existing land use systems so that the selected samples can represent majority of the AEZ scenario. Based on the survey, four land use types, i.e., cropland, orchard, grass land, and fallow were nominated, and for each land use, 12 sites were selected per AEZ. Thus, 48 sites (12 per land use × 4 land uses) per AEZ, i.e., total 192 sites for four AEZs were selected which were similar in climatic condition, topography, and soil type (Table 1). Medium high land was selected from all AEZs.

The cropped lands had been covered with rice, and mixed fruits (Litchi chinensis and Mangifera indica) trees were grown in orchard for about 15 years. Grassland had been covered with naturally grown deep-rooted native grass for >10 years, and the fallow land remained uncultivated for >5 years and covered with naturally regenerated grasses in all AEZs. Flood irrigation, conventional tillage, and typical fertilization were practiced in croplands where as the orchard was managed by only preparatory tillage, very rare irrigation, and yearly application of fertilizers + manure. The grassland and fallow lands remained undisturbed.

2.2. Soil Sampling

Surface soil depth (0–15 cm) was selected for sampling as it has an important role in agricultural production. Random soil samples of surface depth were collected from several spots of each site with auger and kept in polythene begs so that these remained in field moist condition. The random samples for each site were mixed thoroughly to make one composite sample. Soil core samples were also collected from three points of each site. After completion of collecting soil samples, the unwanted materials such as stones, granules, plant parts, and leaves were discarded from samples. The samples were dried at room temperature, crushed, sieved with a 2 mm mesh sieve, and preserved for subsequent laboratory analyses.

2.3. Physical Fractionation of Soils

Bulk soil samples from four land use types of each AEZs were fractionated into particulate OM (POM) and mineral associated particulate soil OM (MOM) by using the method adopted from Cambardella and Elliott [26]. About 20 g of 2 mm soil sample was transferred into a 100 mL sample bottle, and 60 mL of 5 gL⁻¹ sodium hexametaphosphate was added. Soil suspension was shaken in a horizontal shaker for overnight and then passed through a 53 μm sieve. The soil samples retained on the sieve were considered as POM while, those that pass through the sieve were MOM fraction. Both the fractions were rinsed with water, dried in an oven at 40°C, hand ground to fine powder, weighed, and stored in plastic vials for further analyses.

2.4. Soil Sample Analysis

2.4.1. Bulk Soil Properties

Bulk soils from four AEZs were analyzed for pH, carbonate, electrical conductivity (EC), and texture. Soil pH and EC were measured by a glass electrode pH meter and conductivity meter, respectively, using a soil-to-water ratio of 1 : 5 [27,28]. Bulk density was determined by the core method. Carbonate and bicarbonate were analyzed through the titration method. Particle size analysis was conducted by the hydrometer method [29]. All laboratory analytical measurements of individual bulk soil sample were performed in triplicate.

2.4.2. Organic Carbon and Nitrogen Determination in Bulk Soils and Soil Fractions

Soil OC and total nitrogen (N) content of bulk soils and two soil fractions were measured for all four AEZs’ samples. The OC content of the soil samples was determined by the wet oxidation method [30], and the total N content was determined following the micro-Kjeldahl method [31].

2.5. Statistical Analysis

Analysis of variance was performed to find out the effects of land use on bulk soil and fractionated OC pools for both AEZs. Variation in soil OC and N due to native OM content was also determined. All the statistical analyses were performed using the software package IBM SPSS 21.0.

3. Results and Discussion

3.1. General Soil Characteristics

The soil type of all four land uses in AEZ-7 was noncalcareous alluvium, in AEZs-3 and 5, it was noncalcareous dark grey floodplain, and for AEZ-9, it was noncalcareous grey floodplain (Table 1). All the collected soils from four AEZs were nonsaline (EC: AEZ-7, 93–233; AEZ-3, 66–182; AEZ-9, 48–181; and AEZ-5, 70–213 µS cm⁻¹). pH value ranged from 5.07 to 7.94. All the soils were slightly acidic except AEZ-9, slightly alkaline in reaction (pH ≤ 7.26–7.94) (Table 2). The texture of the studied soils of different land uses was similar for all AEZs, i.e., silt loam, having 25–39% sand, 48–64% silt, and 9–15% clay (Table 2).

3.2. Effect of Land Use on Soil Organic Carbon and Nitrogen

3.2.1. Total Organic Carbon

Total OC in bulk soils of land uses of four AEZs ranged between 0.39 and 1.79% (Figure 2(a)). The OC contents were in line with their native OM status. Soils of the AEZ 5 had the uppermost OC content (1.31–1.79%), followed by the AEZ-9 (0.83–1.47%) > AEZ-3 (0.44–0.71%) and AEZ-7 (0.39–0.48%). Total OC was significantly different among the land uses for specific AEZ and between AEZs (Figure 2(a), SI Tables 1 and 2). Fallow land soil had the highest OC in AEZs-7 (0.48%) and 3 (0.71%), and in AEZs-9 and 5, the highest soil OC was found in grassland (1.47 and 1.79%, respectively). In AEZs-7 and 3, the highest percent of OC was followed by grassland >orchard >cropland, and it was orchard >fallow >cropland in AEZs-9 and 5 (Figure 2(a)). This trend is matched with the contribution of the land use systems in regards to the addition of OM to the surface soil. This result can be attributed to the above biomass and fine root density of naturally grown grasses and shrubs in grasslands [32,33]. This indicates that grassland (natural/fallow) is more beneficial to surface OC sequestration than orchard/tree plantation or cultivated cropland. This finding agrees with the results of many previous studies [34–36]. As for example, Lugo and Brown [37] found that tropical grasslands could accumulate more OC than the adjacent forests. Tate et al. [38] reported that the OC storage in the total profile was 13% higher in a grassland than in a forest and crop land. A review by Conant et al. [39] reported that conversion from native rain forests to grassland increased the OC in nearly 70% of the reviewed studies. Guo and Gifford [9] indicated that OC stocks could be higher under natural grassland than under natural forest.

(a)

(b)

(c)

The total organic N ranged between 0.03 and 0.13% in all the soils (Figure 2(b)). The variation and trend were almost similar to the OC among the land uses and AEZs. Overall, the highest N content was found in grassland soils of all four AEZs and the lowest was in orchard soils for AEZs-7 and 3 and cropland soils for AEZs-9 and 5.

The C : N ratio ranged between 9.9 and 17.6 in all soils (Figure 2(c)). The C : N ratio varied among the land uses and also between AEZs, with few exceptions (SI Tables 1 and 2). These differences in C : N ratios among land uses possibly reflect variations in composition of organic residues entering the soil OM pool and could be attributed to contrasting vegetation covers [24,40]. Overall, the narrowest ratio was observed in cropland soils and the highest was in either orchard or fallow land soils in all four AEZs. This indicates the higher mineralization and oxidation of OM in cultivated (disturbed) soils [41,42]. The C : N ratio of orchard soils was relatively higher than their respective cropland which is expected since orchard soil got less disturbed per year than the three times rice cultivated soils of the cropland.

If we consider native grassland as nondisturbed soil, then about up to 43% OC was depleted after cultivation (cropland > orchard), even OC depletion (27%) was also observed in Fallow land, particularly in AEZs-9 and 5. In Bangladesh, fallow lands often use as open grazing field for cattle which could be a reason for OC depletion through above biomass reduction.

3.2.2. Soil Organic Carbon Pools

The physical fractionation separated: (i) sand and POM (>53 µm) and (ii) silt + clay along with their associated OM (<53 µm), i.e., MOM [20,26].

On a mass basis, POM fractions were more abundant than MOM in all land uses for AEZs-7 and 3 (Figures 3(a) and 3(b)), while the abundance pattern was opposite in case of AEZs-9 and 5 (Figures 3(c) and 3(d)). For POM fractions, fallow land soil had the highest amount followed by the orchard >cropland >grassland for AEZs-7 and 3 and grassland >cropland >orchard soils for AEZs-9 and 5 (Figure 3). Although this trend for MOM fraction was not very consistent among the land uses and AEZs, the overall trend was as cropland >grassland >orchard >fallow (Figure 3).

(a)

(b)

(c)

(d)

Effect of land use on POM fraction associated OC (POC) and mineral associated OC (MOC) was significant for four AEZs (Table 3 and SI Table 3). In all cases, the POC was highest in orchard soils (0.72–1.91%) followed by fallow (0.81–1.61%) > grassland (0.60–1.84%) > cropland (0.40–1.41%). On the contrary, the MOC showed different trends highest in fallow land (0.81–1.91%) followed by grassland (0.72–1.81%) > cropland (0.70–1.61%) > orchard (0.53–1.51%) for all AEZs (Table 3). The MOC was significantly higher than POC in all cases except the orchard soils (SI Table 4). Although the trend of POC and MOC among the land uses, and variation between POC and MOC within the land use were similar for all four AEZs, overall the OC percent in both POC and MOC for an individual AEZ followed the trend of native OM content.

Nitrogen in POM and MOM fractions ranged between 0.02–0.11% and 0.03–0.13%, respectively, in all soils (Table 3) and followed almost similar trend as OC among the land uses and AEZs (Table 3). The C : N ratios of the soils ranged from 11.3 to 20.7 (Table 3).

Here, the rapid decomposition of POM in cropland due to intensive cultivation operations could be the explanation for lowest POC, whereas accumulation of tree leaves and above biomass addition (from dried annual + perennial grasses) might be the reason for highest POC in orchard and fallow land, respectively. It is also noticeable that although the crop cultivation caused depletion of total OC in soils (Figure 2), the OC is mostly distributed to the MOM fractions (lowest POC + substantial percent of MOC). Similar findings were also reported by Cambardella and Elliott [26] and Álvaro-Fuentes et al. [43]. This might suggest that the lower OC in disturbed soil is the result of rapid POM decomposition. After microbial decomposition of the more labile components of POC pool, the remain parts become more stable form of OM [44]. The POM fractions are characterized by the wider C:N ratio [45] which is also true for these soils (C : N: 12.4–20.7), whereas the ratio is narrower (11.0–18.7) for MOM fractions (Table 3). It has been reported that the more stable OC has narrow C:N ratio since this OC is expected to be highly microbially processed [45,46]. Here, in spite of soil disturbance, rice-based crop field also showed considerable ability for sequestering OC [47,48]. The submerged conditions for growing paddy rice might decelerate soil OC mineralization up to a certain degree which could help to store OC in soils. Xin et al. [49] also reported higher storage of soil OC in paddy field than the adjacent dryland crop field.

3.3. Effect of Native Organic Matter Content on Soil Carbon Sequestration

Soil OM dynamics follow first order kinetics for the decomposition of various conceptual pools of OM [13,50], which means that equilibrium C stocks are linearly proportional to C inputs [13]. This predicts that soil C stocks can be increased without limit, i.e., there are no assumptions of soil C saturation. The soil OC in this study were highly coincide with these existing literatures. Native OM content has a significant impact on total OC (Figure 2) and also has influence on MOC in soils of all land uses (Table 3). The total OC as well as the MOC contents in the soils of four AEZs followed the trend as high OM > medium OM > low OM > very low OM. This might also suggest that the soils with relatively higher OM content did not reach to the C saturation limit and still have great potential for OC sequestration [15,17].

4. Conclusion

The overall results indicate that soil OC was influenced by the impact of the land use and native soil OM content. Separated OC pools are the best indicator of OC status in regards to show the potential of soil for C storage rather than bulk soil total OC. Cultivation causes OC depletion which does not necessarily mean the depletion of stable OC. Less disturbed native (grassland) soils do not always aid in enhancing OC storage. It could rather depend on the type of vegetation cover, management practices, and soil type. Further research is needed to explore the specific explanation for this. Although the results showed higher proportion of stable OC in soils with higher native OM content than the soils with lower OM content, the OC storage potential can be increased even in the latter soils with proper management, e.g., regular residue addition, minimum tillage, and balanced fertilization, even if it is intensively cultivated land.

Data Availability

All data generated or analyzed during this study are included within the article.

Disclosure

The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Conceptualization, supervision, project administration, and funding acquisition were done by Sabina Yeasmin. Sabina Yeasmin, Eshara Jahan, Md. Ashik Molla, AKM Mominul Islam, and Md. Harun Or Rashid were responsible for formal analysis. Investigation was conducted by Sabina Yeasmin, Eshara Jahan, and Md. Ashik Molla. Resources were collected by, Sabina Yeasmin, AKM Mominul Islam, and Md. Parvez Anwar. Sabina Yeasmin, Eshara Jahan, and Md. Ashik Molla carried out writing and original draft preparation. Writing, reviewing, and editing were executed by AKM Mominul Islam, Md. Parvez Anwar, and Md. Harun Or Rashid. Sabina Yeasmin and Md. Harun Or Rashid did visualization.

Acknowledgments

The corresponding author gratefully acknowledge the financial supports provided by The Word Academy of Sciences (TWAS) (research grant no. 17–387RG/CHE/AS_I–FR3240297752) for purchasing equipment and the Ministry of Science and Technology, Government of the People’s Republic of Bangladesh (project no. 39,00,0000.009.14.004.19/BS-75/86) for conducting research. Special thanks are extended to the physical support provided by the Department of Agricultural Extension (DAE) of the four selected upazilas in Bangladesh. Mr. Azahar of Agro Innovation Laboratory, Department of Agronomy and Mr. Habib of Humbolt Soil Testing Laboratory, Department of Soil Science, Bangladesh Agricultural University are also highly acknowledged for the help during collection, processing, and analyzing the soil samples, respectively.

Supplementary Materials

SI Table 1. values from the ANOVA showing the effect of land use on organic carbon (OC), nitrogen (N), and C : N ratios of bulk soils from four agroecological zones (AEZs). SI Table 2. values from the ANOVA showing the effect of agroecological zones on organic carbon (OC), nitrogen (N), and C : N ratios of bulk soils from four land uses. SI Table 3. values from the ANOVA showing the effect of land use on organic carbon (OC), nitrogen (N), and C : N ratios of soil fractions (POM ≥ 53 µm and MOM ≤ 53 µm) from four agroecological zones (AEZs). SI Table 4. values from the ANOVA showing the variation of soil fractions on organic carbon (OC), nitrogen (N), and C : N ratios of soils from four land uses and agroecological zones (AEZs). (Supplementary Materials)

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Copyright © 2020 Sabina Yeasmin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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