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Article

An Environmentally Friendly Soil Amendment for Enhancing Soil Water Availability in Drought-Prone Soils

1
College of Water Resources and Architectural Engineering, Northwest A&F University, Xianyang 712100, China
2
Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A&F University, Xianyang 712100, China
*
Author to whom correspondence should be addressed.
Submission received: 17 November 2021 / Revised: 26 December 2021 / Accepted: 4 January 2022 / Published: 6 January 2022

Abstract

:
Applying soil amendments plays a critical role in relieving water stress in arid and semiarid areas. The natural clay mineral attapulgite (ATP) can be utilized to adjust the balance of water and soil environment. In this study, we investigated four different particle size distribution typical soils in the Loess Plateau: (1) lou soil (LS), (2) dark loessial soil (DS), (3) cultivated loess soil (CS), (4) sandy soil (SS). Five ATP application rates (0, 1%, 2%, 3%, and 4%) were selected to test the effect of ATP on the soil water retention curve, soil saturated hydraulic conductivity, and soil structure. The results showed that applied ATP significantly increased the soil clay content, and the relative change of SS with 3% ATP applied increased by 53.7%. The field water holding capacity of LS, DS, CS, and SS with 3% ATP applied increased by 8.9%, 9.6%, 18.2%, and 45.0%, respectively. Although applied ATP reduced the saturated hydraulic conductivity, the values of CS and SS were opposite when the amount of ATP applied was >3%. The relative change in the amount of 0.25–1 mm soil water-stable aggregates of SS was 155.9% when 3% ATP was applied. Applied ATP can enhance soil water retention and soil stability, which may improve limited water use efficiency and relieve soil desiccation in arid and semiarid areas or similar hydrogeological areas.

Graphical Abstract

1. Introduction

Arid and semiarid areas occupy more than 40% of the terrestrial ecosystem, and support over 35% of the global population [1]. Water availability is considered the key limitation for biological productivity in dryland ecosystems [2]. The arid and semiarid areas of China, including the northeastern, northern, and northwestern regions, cover an area of over 1.6 million km2 [3]. Especially in the Loess Plateau (100°54′ E~114°33′ E and 33°43′ N~41°16′ N) in northern China, due to geological movement and the deposition of aeolian particulate, soil moisture is easily dissipated from the soil profile [4,5,6]. Drought and water stress have restricted agricultural development, and caused soil degradation [7,8]. Water-limited agricultural systems are not only vulnerable to reduced crop yields but also often characterized by poor water holding capacity and soil structure.
Soil texture is the fundamental property that controls the aggregation of particles, soil structure, and soil structure stability [9,10]. Moreover, soil texture is one of the most important physical parameters that affect soil aggregation, water transport, vegetation productivity, and ecological restoration [11,12]. Clay particles can act as nuclei capable of generating macroaggregates and microaggregates because of their large specific surface area and chemical association capacity, which allow a favorable soil structure to be achieved [10,13,14]. The soil textures in the north and south of the Loess Plateau are completely different and soil clay content exhibits a gradient decrease from south to north [10,12]. Since “Grain for Green” was implemented to restore the ecological environment of the Loess Plateau, excessive green vegetation has led to a sharp increase in water demand and a decline in soil water bearing capacity, which has resulted in soil desiccation [5,6,15,16,17,18,19]. Thus, in this study, we focus on transforming the coarse soil of the Loess Plateau into soil with greater clay content suitable for crop and plant growth, thereby contributing to the restoration of the ecological environment.
Currently, various types of soil additives are used in all aspects of soil management, such as inorganic additives, organic additives, synthetic soil additives, and biological additives [20,21,22,23]. However, most soil additives may pose serious health and environment risks in practice [24,25,26,27,28], and raise the cost of agriculture [29]. Therefore, new soil amendments need to be developed. The inorganic additive attapulgite (ATP) is widely used for soil improvement [30,31,32]. As a 2:1 type clay mineral, it has large specific surface area, rich pores, and strong polarity. Its special colloidal properties and crystal structures provide outstanding ion exchange performance and surface adsorption, which are crucial to the physical, chemical, and biological processes of soil [33,34]. The pores of ATP are honeycombed in cross sections, and produce a combination of numerous parallel tubular channels. The surface of ATP is unevenly covered with grooves, and its viscosity and plasticity are enhanced on encountering water, which results in a strong water absorption capacity [35,36]. The fibrous morphology and pore structure of ATP make it significant in improving soil strength and caking, and its large specific surface area and cation exchange capacity enable it to play a role in water retention and improving soil aeration [23,37,38]. Yang et al. [37] revealed that the application of ATP promoted the accumulation of dry matter mass of astragalus and could significantly improve the quality of astragalus. Guan et al. [39] conducted corn field trials with ATP instead of 20–30% chemical fertilizers and found that fertilizers coated with ATP effectively improved corn yield and nitrogen fertilizer utilization. In addition, a large number of studies have shown that ATP exhibits excellent heavy metal absorption properties in soil remediation, greatly reducing soil contamination [36,37,40]. The ATP is cheap, nontoxic, tasteless, and nonstimulating, and has the advantages of low cost and abundant resource in most continents of the world [37,38,39,40,41,42,43,44]. ATP possesses the necessary characteristics to improve soil structure and promote excellent soil fertility [45,46,47]. Moreover, the selective absorption of heavy metals by ATP can improve the soil environment [48,49]. Therefore, ATP has considerable potential for development and utilization in arid and semiarid agriculture.
The number and intensity of droughts around the world have increased dramatically, and droughts are forecast to increase in the future [50], forcing people to optimize water management. A case study of four typical zonal soils (lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), sandy soil (SS)) in the Loess Plateau is expected to increase soil clay content by adding clay mineral ATP, so as to change the hydraulic and physical properties of the soil. We anticipate solving the problem of poor water holding capacity of coarse-grained soil, improving the water resource utilization efficiency, and relieving the water pressure of agriculture in dryland. Thus, we propose the following hypotheses: (1) applied ATP improves the water holding capacity significantly, (2) the soil structure will be improved within a specific range of addition by adding ATP, and (3) ATP has a more beneficial effect on sandy soil than other soils.

2. Materials and Methods

2.1. Test Materials

2.1.1. Properties of ATP

The ATP used in this experiment was purchased from Henan Yixiang New Material Co., Ltd. (Xinxiang, China) without any treatment. Its basic physical properties and chemical composition were as follows: the clay content was 17.8%, the silt content was 32.2%, the sand content was 50.0%, and the pH value was 7.5.

2.1.2. Soil Samples

In March 2019, four common soils were selected to a depth of 30 cm from a cultivated field in the Yangling (LS, 34°16′ N, 108°40′ E), Changwu (DS, 35°14′ N, 107°40′ E), Yan’an (CS, 36°50′ N, 110°29′ E), and Shenmu (SS, 38°50′ N, 110°29′ E) regions of the Loess Plateau in order of decreasing clay content (Figure 1). The cutting ring with a volume of 100 cm3 was used to collect samples without disturbance, and the soil bulk density was determined by the drying method. The types and textures of the soils at each site are listed in Table 1. The soil samples were brought to the laboratory and air dried so that it could be sieved with a 4 mm sieve. Based on the customary use of attapulgite in soil remediation applications [32,51], ATP and four different soil samples were uniformly mixed with the mass ratios of 0, 1%, 2%, 3%, and 4% (these treatments were denoted CK, ATP-1, ATP-2, ATP-3, and ATP-4, respectively). In total, there were 20 treatments with three replicates for each treatment. A total of 60 repacked cores were prepared by cutting ring.

2.2. Laboratory Measurements

2.2.1. Soil Water Retention Curve

The soil water retention curve (SWRC) is commonly used to analyze the water holding capacity of soil. The soil samples were also subjected to soil water retention measurements taken using a pressure film meter and WP4 dew point water potential meter to determine their water content in correspondence with different matrix potentials. The van Genuchten (VG) model [52] can accurately reflect the relationship between matrix suction and volumetric water content and is the basis for further studies of soil hydraulic properties, which can be expressed as
θ ( h ) = θ r + θ s θ r [ 1 + | α h | n ] m
where h is the soil negative pressure measured using H2O, cm; θ(h) is the soil volumetric water content under the corresponding suction (%); θr is the residual volumetric water content (cm3 cm−3); θs is the saturated volumetric water content (cm3 cm−3); α is the reciprocal of the intake value (cm−1); n and m are the parameters characterizing the shape of the curve (m = 1−1/n). According to the measured data, the aforementioned parameters were obtained using RETC software. Correlation coefficient (R2) and root mean square error (RMSE) were used to test the fit of the model:
R 2 = 1 i = 1 n ( θ i Θ i ) 2 i = 1 n ( θ i Θ i ¯ ) 2
R M S E = i = 1 n ( θ i Θ i ) 2 n
where θ i represents the observed data; Θ i is the estimated data obtained through the VG model; n is the number of samples.

2.2.2. Soil Physical Properties

The SWRC can be used to determine the soil water retention parameters, including the field water holding capacity (FC, matrix potential: −0.33 bar), permanent wilting point (PWP, matrix potential: −15 bar), and available water content (AWC, the difference between the FC and PWP) [53]. The total soil porosity (TP) and capillary porosity (CP) were selected to further assess the effect of ATP application on the soil physical properties:
T P = 1 ρ b ρ s
C P = ( θ F C θ P W P ) × ρ b

2.2.3. Soil Pore Size Distribution

The method utilized to obtain the pore size distribution is based on the SWRC. The pore size distribution can be expressed as follows:
d = 4 σ | h |
where d is the pore diameter, h is the pressure head (Pa), and σ is the water surface tension coefficient, which is generally 75 × 10−5 N·cm−1 at room temperature.

2.2.4. Soil Saturated Hydraulic Conductivity

Soil saturated hydraulic conductivity (Ks) was measured using the constant head method:
K s = Q A t L Δ H
where Ks is the soil saturated hydraulic conductivity, cm·s−1; Q is the output water, cm3; Δ H is the water head difference, cm; L is the sample height, cm; A is the soil cross-sectional area, cm2; t is time.

2.2.5. Soil Aggregate Measurement

The stability of aggregates was determined through dry-sieve and wet-sieve methods. Before soil aggregate measurement, all soil samples were packed into plastic boxes (20 cm × 10 cm × 10 cm) filled with water until saturation and placed in an incubator at constant humidity (25 °C ± 1 °C, 50 ± 5% of relative humidity) for 50 days. Once the soil sample appeared to be stable, 500 g was taken to oscillate on the sieve (5, 2, 1, 0.5, 0.25, and 0.053 mm), and the aggregates of each particle size (5–2, 2–1, 1–0.5, 0.5–0.25, 0.25–0.053, and <0.053 mm) were weighed separately after shaking. Each fractional aggregate obtained through dry sieving was proportioned to 50 g for wet sieving. Sieve groups consisting of each particle size were placed in a wet sieve bucket, and distilled water was added to the upper edge of the sieve group. After wetting for 5 min at room temperature, the sample was subjected to vertical vibrations with an amplitude of 4 cm at 30 r·min−1 for 30 min. After sieving, the aggregates on the sieves of each level were rinsed into a 100 mL beaker of known quality. After 48 h of sedimentation, the supernatant was removed, placed in an oven, dried at 50 °C, and weighed.
Aggregate stability indices were denoted by soil aggregates (>0.25 mm), the mean weight diameter (MWD), the mean geometric diameter (GWD), and soil aggregate destruction (PAD0.25) [54]:
D R 0.25 ( W R 0.25 ) = n = 1 i ( W i > 0.25 ) n = 1 i ( W i ) × 100 %
D M W D ( W M W D ) = n = 1 i ( X i × W i )
D M W D ( W M W D ) = e x p ( n = 1 i L n X i × W i )
P A D 0.25 = D R 0.25 W R 0.25 D R 0.25 × 100 %
where DR0.25 and WR0.25 are the proportions of >0.25 mm mechanical stable and water-stable aggregates, respectively; D−MWD and W−MWD are the mean weight diameter of mechanical stable aggregates and water-stable aggregates (mm), respectively; D−GWD and W−GWD are the mean geometric diameter of mechanical stable aggregates and water-stable aggregates (mm), respectively; Wi > 0.25 is the mean diameter of >0.25 mm size fraction i; Xi is the mean diameter of size fraction i; and Wi is the proportion (%) of the total sample mass in size fraction i.

2.3. Statistical Analysis

SPSS 22 and Origin 2017 software programs were used for data processing, graphing, and tabulation. Duncan’s least significant difference test was used to identify significant differences in indicators related to hydraulic properties, pore size distribution, saturated hydraulic conductivity, and aggregate stability between means for different ATP treatments and different soil types in this paper (p < 0.05).

3. Results

3.1. Soil Physical Properties

The physical properties of each treatment are presented in Table 2. Adding ATP enhanced the clay content compared with CK treatments. The clay content of LS, DS, CS, and SS with ATP-3 treatments were increased by 11.2%, 6.5%, 25.4%, and 53.7%, respectively. ATP significantly increased the clay content of CS and SS (p < 0.05). Statistical analysis revealed that ATP has no significant effect on the CP, but has significant effects on other physical parameters.

3.2. Soil Water Retention Curve and Water Characteristic Parameters

The soil water retention curves (SWRCs) for the four soils are illustrated in Figure 2. The water content of LS was higher than that of the other soil types, and the water content of SS was the lowest with the same pF value. When increasing the ATP application amount, the water content under the same suction increased. This change led to a corresponding change in the soil water holding capacity. To analyze in detail the effect of applying ATP to the soil water holding capacity under different suctions, the soil suction was divided into three parts: low-suction section (<0.1 bar), middle-suction section (0.1–3 bar), and high-suction section (>3 bar). The treatment of the low-suction section was severe, and the range of water content changes was relatively large. The change of water content in the middle-suction section was obvious and regular, and the moisture change caused by the ATP-4 treatments was significantly higher than that caused by CK treatments.
The fitting results of the VG model are presented in Table 3, and the fitting degree is acceptable (R2 > 0.99, RMSE < 0.01). The changes in θr, θs, and α were positively associated with the amount of ATP applied, whereas the changes were negatively associated with n. The θr of LS, DS, CS, and SS with the ATP-4 treatments were increased by 26.5%, 21.9%, 17.3%, and 109.2%, respectively.
The FC, PWP, and AWC for each soil type were larger after ATP treatments than CK treatments (Table 4). The results indicated that the application of ATP affected the soil water retention and water permeability. The FC of LS, DS, CS, and SS with ATP-3 treatments were increased by 8.9%, 9.6%, 18.2%, and 45.0%, respectively, and the corresponding PWP were increased by 15.0%, 14.7%, 15.2%, and 96.6%, respectively, while the corresponding AWC were increased by 2.4%, 6.1%, 20.2%, and 18.3%, respectively, which led to a great influence on PWP of SS. This finding suggests that the ATP-treated soil’s moisture increases significantly in the high-suction section.

3.3. Soil Pore Size Distribution

The pore size distribution of different treatments determined from the water retention curve is shown in Figure 3. Overall, it seems that the large pores (>30 μm) and small pores (<30 μm) differed greatly between treatments, whereas the number of small pores was obviously higher than large pores. The addition of ATP resulted in more micropores (<3 μm), and the higher the amount of ATP applied, the more significant the change. Moreover, it was found that LS had the largest overall increase in micropores by comparing the amount of change in macropores and micropores of the four soils, but the ATP-4 treatment of the CS had the largest increase in micropores (30.8%) compared to CK.

3.4. Soil Saturated Hydraulic Conductivity

The difference between the saturated hydraulic conductivity (Ks) of the different soils was significant due their texture, and the addition of ATP accentuated these differences (Figure 4). The Ks of LS and DS reduced with an increase of the ATP application amount, whereas the opposite result was obtained when the application amount of ATP was >3% in CS and SS. Compared with the Ks values obtained with the CK treatments, the Ks values of LS, DS, CS, and SS changed by −53.1%, −23.7%, −43.8%, and −44.9%, respectively, when the ATP application amount was 3%.

3.5. Soil Aggregate Stability

The variation of water-stable aggregates in each size range was different for each treatment (Figure 5). Soil aggregates were mainly concentrated in the size ranges of 0.25–1, 0.053–0.25, and <0.053 mm. Most of the 0.25–1 mm and <0.053 mm aggregates were found in LS and DS, which exhibited similar change trends to the aggregates with ATP treatments. The 0.25–1 mm aggregates in LS and DS with the ATP-3 treatments were increased by 105.8% and 131.8%, respectively. The aggregates of CS were concentrated within <0.053 mm, and the 0.25–1mm aggregates increased by ATP applied. The aggregates of SS were concentrated in the ranges of 0.25–1 mm and 0.053–0.25 mm, and the relative change in the amount of 0.25–1 mm aggregates in SS with the ATP-3 treatment was 155.9%. The application of ATP increased the concentration of the 0.25–1 mm aggregates in each soil type.
The WR0.25 and DR0.25 in each treatment were positively correlated with the amount of ATP applied (Table 5), but WR0.25 was much smaller than DR0.25, indicating that the aggregates of each soil type were primarily mechanically stable aggregates. The DR0.25 with ATP treatments were increased by 1.1%, 4.1%, 3.8%, and 5.2% in the LS, and 53.4%, 62.0%, 88.6%, and 120.5% in the SS, suggesting that ATP has the greatest influence on the mechanically stable aggregates of the SS. The D−MWD and D−GMD of each soil type were positively correlated with the amount of ATP, but the W−MWD and W−GMD decreased with an ATP application amount >3% for CS and SS. The larger the PAD0.25, the worse the stability of the aggregates [54]. The results in each soil type were negatively correlated with the amount of ATP, but the difference of PAD0.25 in CS was not significant. ATP enhanced the mechanical stability of various soil types and had the greatest effect on the water stability of SS.

4. Discussion

4.1. The Effect of ATP on Soil Hydraulic Properties

Understanding soil water holding capacity as well as the physical and chemical properties of soil is essential for enhancing agricultural production in arid and semiarid areas [55]. Soil water safety guarantees suitable crop growth and yield and enables the rational utilization of soil and water resources to ensure food security. Soil water holding characteristics are primarily affected by soil texture and soil structure [56]. ATP, as a clay mineral, directly increases the clay content of the soil, and its hydrophilicity enhances the soil water holding capacity. Our results indicated that ATP reduced the slope of the SWRC and increased the soil moisture content under the same suction, especially for SS, where the θr of the ATP-4 treatments was 109.2% higher than that for the CK treatments. FC and PWP are the indices used to measure the highest and lowest water content required by the crop in soil, and an increase in these two indicators suggests that ATP can contribute toward achieving a sustainable water supply for crops. The FC of LS, DS, CS, and SS with the addition of 4% ATP were increased by 15.9%, 9.3%, 15.7%, and 45.2%. Amoakwah et al. [57] believed that the increase in soil water holding capacity achieved by adding exogenous substances to the soil is due to the increase of small pores. By examining the relationship between soil moisture content and suction, the soil internal structural changes can be indirectly identified. According to Gardner et al. [58], the main factors affecting the SWRC are soil texture and soil structure. When suction reaches the air intake value, the water in the macropores is initially discharged from the soil, and then the water in the micropores is discharged gradually with an increase of suction. When the suction was <0.1 bar, no significant difference was observed in the SWRC of each treatment. Nonetheless, the drainage after ATP treatments was lower than that after CK treatments because residual and bonding pores started to work [57]. A similar observation was made by Aghaalikhani et al. [59]. The results concluded that the higher the amount of ATP applied (up to <4%), the higher the capacity of soil pore to store water. Compared with other soil types, SS exhibited the most drastic changes in soil water content in the low suction section, whereas LS demonstrated relatively small changes in the entire suction section. Therefore, the findings indicate that an increase in the clay content can improve the soil water holding capacity.
Soil water movement is mainly affected by water supply intensity and soil infiltration capacity. Water supply intensity is an external factor, whereas the soil physical properties, such as the initial water content, soil bulk density, and total porosity, are the main factors determining soil matrix infiltration [27,60,61]. As an exogenous substance, the application of ATP can affect the soil water movement characteristics by changing the soil pore structure and affecting the physical properties. ATP reduced the Ks of LS, DS, CS, and SS when the amount of ATP was <4%. In addition, ATP can fill the soil pores due to its small particle size, thus changing soil porosity and pore distribution characteristics, affecting soil texture and hindering water movement. Studies by Fu et al. [62] and Amoakwah et al. [57] have provided similar results. However, when the amount of ATP added was greater than 3%, the opposite results were observed in CS and SS. This difference was due to the expansion of an excessive amount of small particles in ATP, which led to dehydration. The parameter Ks reflects the saturated permeability of the soil, and changes in Ks are due to changes in the soil structure [63]. The clay content in SS, CS, DS, and LS increased with Ks for the same ATP application. Hillel et al. [64] and Xiao et al. [65] have suggested that high-content fine-grained soils (such as loess) have lower permeability than sandy soils. Appropriate amounts of ATP can effectively improve the water leakage caused by excessive water release from soils with a large amount of sand content.

4.2. The Effect of ATP on Soil Pore Characteristics and Aggregate Structure and Stability

Soil is composed of macroaggregates and microaggregates [66]. Several studies have reported that the shape and size of aggregates play a key role in pore size distributions [67]. Soil pore size distribution and total porosity play an important role in soil water solute transport, fertility, and crop root expansion [68]. Fu et al. [62] found that the ratio of the pore diameter (small pore size, medium pore diameter, and large pore diameter) decreased in the middle, and increased at both ends when adding the exogenous substance. Promoting balance between macropores and micropores can ameliorate the soil structure [67]. The application of ATP increased the amount of very fine pores (<3 μm), which helps enhance the soil water holding capacity. The volume of macropores for all layers and cropping systems was >0.10 m3 m−3, which is considered the critical value for crop growth [69]. In addition, the soil particles of SS are relatively dispersed, the adsorption of ATP facilitates cementation. Therefore, ATP had the most significant effect on the agglomerates and pore size distribution of SS.
Clay minerals affect aggregates by influencing the particle surface area, cation exchange capacity, charge density, dispersibility, and swelling [70,71,72,73]. Expansive clays such as 2:1 clay minerals often have higher cation exchange capacity and specific surface area and stronger agglomeration. The study suggested that the soil mechanical stability and water stability are improved by adding ATP, and the mechanical stability is more sensitive than the water stability to ATP application. The D−MWD and D−GWD increased significantly after each ATP treatment. However, the soil water stability decreased when the ATP addition amount was >3%. The reason for this phenomenon is that the hydration of expansive clay particles weakens the joint force between the soil particles during the wetting process due to excessive ATP [74]. The strong adsorption of ATP promotes bonding between individual soil particles, which promotes the formation of soil aggregates. These findings are consistent with the results of this study. Strong physical cohesion of exogenous substances alters the structure of soil aggregates and enhances soil stability [54,75,76].

5. Conclusions

Adding ATP increased the soil clay content significantly, and the increase in clay content of the sandy soil was 53.7% when the ATP application amount was 3%. It can cement soil particles, change the amount of aggregate, and affect the pore distribution. The high absorption of water molecules by ATP enhanced the water holding capacity and reduced the saturated hydraulic conductivity. However, the hydration effect of excessive ATP yielded opposite results when the amount of ATP was >3% for cultivated loess soil and sandy soil. Therefore, the results suggest that the appropriate application amount of ATP in agriculture for soil improvement is 3%.
The environmentally friendly soil amendment ATP, which derives from nature and returns to nature, can improve the soil structure, affect the soil hydraulic properties, and improve the soil water retention capacity. These changes are especially significant for coarse soil. Using ATP in specific ranges can enhance the stability of soil, reduce soil water loss, and improve soil water use efficiency. In addition, ATP can improve the soil and water resource environment of the Loess Plateau, and promote sustainable agricultural development and rational use of water resources in arid and semiarid regions.

Author Contributions

Conceptualization, T.Y. and X.M.; methodology, T.Y.; software, T.Y.; validation, T.Y., X.X. and X.M.; formal analysis, T.Y.; investigation, T.Y., X.X. and Y.G.; resources, T.Y. and X.M.; data curation, Y.G.; writing–original draft preparation, T.Y.; writing–review & editing, T.Y., X.X. and X.M.; visualization, T.Y.; supervision, X.M.; project administration, X.M.; funding acquisition, X.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (grant No. 51279167 and No. 51809217).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Our study did not report to any data.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Location of the Chinese Loess Plateau and the region for soil sample collections.
Figure 1. Location of the Chinese Loess Plateau and the region for soil sample collections.
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Figure 2. Soil water retention curve (SWRC) for lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). pF = log10|h|, where h is the pressure head (cm).
Figure 2. Soil water retention curve (SWRC) for lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). pF = log10|h|, where h is the pressure head (cm).
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Figure 3. Pore size distribution for lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). Different lowercase letters indicate significant differences in the parameters for different ATP amounts applied in the same pore size.
Figure 3. Pore size distribution for lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). Different lowercase letters indicate significant differences in the parameters for different ATP amounts applied in the same pore size.
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Figure 4. Saturated hydraulic conductivity (Ks) for lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). Different lowercase letters indicate significant differences in the parameters for different ATP amounts applied in the same soil type. Error bars refer to the standard deviation.
Figure 4. Saturated hydraulic conductivity (Ks) for lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). Different lowercase letters indicate significant differences in the parameters for different ATP amounts applied in the same soil type. Error bars refer to the standard deviation.
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Figure 5. Composition of soil water-stable aggregates with lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). Different letters within a size fraction indicate significant differences between the four treatments (p < 0.05). Error bars refer to the standard deviation.
Figure 5. Composition of soil water-stable aggregates with lou soil (LS), dark loessial soil (DS), cultivated loess soil (CS), and sandy soil (SS). Different letters within a size fraction indicate significant differences between the four treatments (p < 0.05). Error bars refer to the standard deviation.
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Table 1. Soil physical index.
Table 1. Soil physical index.
Soil TypesBD (g·cm−3)IWC (%)SOM (%)Particle Composition (%)Soil Texture
ClaySiltSand
Lou soil (LS)1.333.2315.4 ± 0.431.035.034.0Clay loam
Dark loessial soil (DS)1.383.6910.9 ± 0.323.429.846.8Loam
Cultivated loess soil (CS)1.383.587.9 ± 0.416.323.060.7Sandy loam
Sandy soil (SS)1.572.276.8 ± 0.28.19.482.5Loamy sand
Notes: BD is the bulk density; IWC is the initial water content; SOM is the soil organic matter content.
Table 2. Soil physical properties.
Table 2. Soil physical properties.
Soil TypesTreatmentsClay (%)Silt (%)Sand (%)TP (%)CP (%)
LSCK31.0 ± 0.1 Da35.0 ± 0.0 Ba34.0 ± 0.1 Ad50.8 ± 0.7 Cd46.9 ± 1.8 Aa
ATP-131.8 ± 0.1 CDa36.6 ± 0.1 Aa31.6 ± 0.2 Cd51.2 ± 3.1 Bc47.2 ± 1.8 Aa
ATP-232.5 ± 1.0 Ca35.4 ± 0.9 Ba32.2 ± 0.1 Bd51.3 ± 1.3 ABd48.3 ± 1.7 Aa
ATP-334.5 ± 0.0 Aa34.6 ± 0.1 Ba30.8 ± 0.0 Dd51.3 ± 1.1 ABd48.7 ± 1.5 Aa
ATP-434.7 ± 0.2 Ba36.7 ± 0.2 Aa28.6 ± 0.4 Ed52.0 ± 2.0 Ac48.4 ± 2.2 Ab
DSCK23.4 ± 0.2 Cb29.8 ± 0.3 Cb46.8 ± 0.4 Ac52.0 ± 0.9 Ac47.0 ± 1.2 Aa
ATP-123.3 ± 0.1 Cb32.8 ± 0.1 Ab43.9 ± 0.1 Dc52.7 ± 0.4 Bb46.9 ± 0.7 Aa
ATP-224.4 ± 0.0 Bb29.7 ± 0.0 Cb45.9 ± 0.0 Bc52.6 ± 0.8 bCc47.3 ± 1.3 Aa
ATP-324.9 ± 0.0 Ab29.5 ± 0.0 Db45.6 ± 0.0 Bc53.0 ± 1.2 CDc48.1 ± 1.1 Aa
ATP-425.5 ± 0.0 Bb30.5 ± 0.0 Bb43.9 ± 0.0 Cc52.8 ± 0.3 Db47.8 ± 0.3 Abc
CSCK16.3 ± 0.1 Ec23.0 ± 0.0 Cc60.7 ± 0.1 Bb50.6 ± 0.7 Ab47.9 ± 0.9 Ca
ATP-116.4 ± 0.0 Dc22.6 ± 0.0 Ec60.9 ± 0.1 Ab50.9 ± 0.5 Bb48.5 ± 0.9 BCa
ATP-218.1 ± 0.0 Cc22.9 ± 0.0 Dc59.1 ± 0.0 Cb51.0 ± 0.9 Cb49.1 ± 1.0 ABCa
ATP-320.5 ± 0.0 Bc25.1 ± 0.0 Bc54.5 ± 0.0 Db51.3 ± 0.3 Cb49.7 ± 1.1 ABa
ATP-421.1 ± 0.0 Ac26.4 ± 0.0 Ac52.5 ± 0.0 Eb50.9 ± 2.5 Da50.8 ± 0.3 Aa
SSCK8.1 ± 0.0 Ed9.4 ± 0.0 Ed82.5 ± 0.0 Aa45.9 ± 0.1 Aa44.2 ± 0.1 Cb
ATP-18.9 ± 0.1 Dd10.2 ± 0.1 Cd80.9 ± 0.1 Ba46.0 ± 1.2 Aa44.7 ± 0.1 Bb
ATP-29.1 ± 0.0 Cd9.9 ± 0.0 Dd81.0 ± 0.1 Ba46.2 ± 1.9 Ba45.0 ± 0.1 Bb
ATP-312.4 ± 0.0 Ad13.4 ± 0.0 Ad74.2 ± 0.0 Da46.3 ± 1.1 Ba45.8 ± 0.1 Ab
ATP-413.0 ± 0.1 Bd11.5 ± 0.1 Bd75.5 ± 0.1 Ca46.2 ± 2.5 Ba46.1 ± 0.4 Ac
Note: LS is lou soil; DS is dark loessial soil; CS is cultivated loess soil; SS is sandy soil. TP is total porosity; CP is capillary porosity. The data represent means ± standard deviation. Different uppercase letters indicate significant differences in the parameters for different ATP amounts applied in the same soil type. Different lowercase letters indicate significant differences in the parameters for the same ATP amount applied in different soil types.
Table 3. Parameter fitting for the van Genuchten model.
Table 3. Parameter fitting for the van Genuchten model.
Soil TypesTreatmentsVan Genuchten
θrθsAnR2RMSE
LSCK0.0770.4800.0391.3170.99890.009
ATP-10.0820.4960.0401.3100.99990.008
ATP-20.0920.5030.0411.3070.99990.006
ATP-30.0930.5030.0351.3050.99970.015
ATP-40.0970.5140.0351.2940.99990.008
DSCK0.0490.4670.0281.3410.99950.005
ATP-10.0520.4710.0291.3410.99990.005
ATP-20.0520.4800.0291.3380.99920.005
ATP-30.0590.4900.0261.3350.99960.008
ATP-40.0600.4930.0251.3160.99920.004
CSCK0.0610.4480.0231.5200.99990.013
ATP-10.0620.4600.0241.4970.99990.010
ATP-20.0620.4690.0241.4370.99980.007
ATP-30.0670.4760.0251.4250.99960.013
ATP-40.0710.4550.0311.4110.99990.007
SSCK0.0270.3730.0221.7700.99960.004
ATP-10.0310.3750.0241.7160.99990.005
ATP-20.0410.3830.0291.7020.99930.010
ATP-30.0530.4090.0311.6870.99990.008
ATP-40.0570.4860.0321.6490.99990.006
Note: LS is lou soil; DS is dark loessial soil; CS is cultivated loess soil; SS is sandy soil. θr is the residual volumetric water content (cm3 cm−3); θs is the saturated volumetric water content (cm3 cm−3); α is the reciprocal of the intake value (cm−1); n is the parameters characterizing the shape of the curve. θr, θs, α, and n are statistical parameters of the van Genuchten model, obtained using RETC software; R2 = correlation coefficient; RMSE = root mean square error.
Table 4. Soil physical properties of lou soil, dark loessial soil, cultivated loess soil, and sandy soil obtained from the soil water retention curve.
Table 4. Soil physical properties of lou soil, dark loessial soil, cultivated loess soil, and sandy soil obtained from the soil water retention curve.
Soil TypesTreatmentsFC (cm·cm−3)PWP (cm·cm−3)AWC (cm·cm−3)
LSCK0.258 ± 0.008 Da0.133 ± 0.004 Da0.125 ± 0.004 Cb
ATP-10.267 ± 0.008 Ca0.139 ± 0.004 Ca0.128 ± 0.004 Bb
ATP-20.276 ± 0.008 Ba0.148 ± 0.004 Ba0.128 ± 0.004 Bb
ATP-30.281 ± 0.008 Ba0.153 ± 0.005 Ba0.128 ± 0.004 Bc
ATP-40.299 ± 0.009 Aa0.163 ± 0.005 Aa0.136 ± 0.004 Cb
DSCK0.249 ± 0.012 Ca0.102 ± 0.005 Cb0.147 ± 0.007 Ba
ATP-10.252 ± 0.013 BCa0.105 ± 0.005 Bb0.146 ± 0.007 Ba
ATP-20.255 ± 0.013 Bb0.107 ± 0.005 Bb0.148 ± 0.007 Ba
ATP-30.273 ± 0.014 Aa0.117 ± 0.006 Ab0.156 ± 0.008 Aa
ATP-40.272 ± 0.014 Ab0.116 ± 0.006 Ab0.156 ± 0.008 Aa
CSCK0.198 ± 0.008 Eb0.079 ± 0.003 Dc0.119 ± 0.005 Db
ATP-10.206 ± 0.008 Db0.082 ± 0.003 Cc0.124 ± 0.005 Cb
ATP-20.216 ± 0.009 Cc0.086 ± 0.003 Bc0.131 ± 0.005 Bb
ATP-30.229 ± 0.009 Bc0.086 ± 0.003 Bc0.143 ± 0.006 Aa
ATP-40.234 ± 0.009 Ab0.091 ± 0.004 Ac0.143 ± 0.006 Ab
SSCK0.111 ± 0.010 Ec0.029 ± 0.003 Ed0.082 ± 0.007 Cc
ATP-10.122 ± 0.011 Dc0.033 ± 0.003 Dd0.088 ± 0.008 Bc
ATP-20.140 ± 0.013 Cd0.044 ± 0.004 Cd0.096 ± 0.009 Ac
ATP-30.154 ± 0.014 Bc0.057 ± 0.005 Bd0.097 ± 0.009 Ad
ATP-40.161 ± 0.014 Ad0.065 ± 0.006 Ad0.096 ± 0.009 Ac
Note: LS is lou soil; DS is dark loessial soil; CS is cultivated loess soil; SS is sandy soil. FC is the field water holding capacity; PWP is the permanent wilting point; AWC is the available water content. The data represent means ± standard deviation. Different uppercase letters indicate significant differences in the parameters for different ATP application amounts for the same soil type. Different lowercase letters indicate significant differences in the parameters for the same ATP application amount in different soil types.
Table 5. Changes in soil aggregates (>0.25 mm) content, mean weight diameter, geometric mean diameter, and percentage of aggregate destruction with different material treatments.
Table 5. Changes in soil aggregates (>0.25 mm) content, mean weight diameter, geometric mean diameter, and percentage of aggregate destruction with different material treatments.
Soil TypesTreatmentsWR0.25 (%)W−MWD (mm)W−GWD (mm)DR0.25 (%)D−MWD (mm)D−GWD (mm)PAD0.25 (%)
LSCK29.6 ± 0.4 Db0.392 ± 0.014 Db0.243 ± 0.003 Db88.9 ± 0.4 Da3.244 ± 0.062 Da1.941 ± 0.050 Da66.7 ± 0.6 Ab
ATP-156.7 ± 0.2 Aa0.625 ± 0.012 Ca0.406 ± 0.003 Bb89.9 ± 0.2 Ca3.488 ± 0.055 Ca2.137 ± 0.046 Ca36.9 ± 0.3 Dc
ATP-255.0 ± 0.2 Ba0.658 ± 0.023 Ba0.471 ± 0.007 Aa92.5 ± 0.2 Ba3.858 ± 0.046 Aa2.716 ± 0.052 Aa35.2 ± 0.4 Ec
ATP-343.5 ± 0.8 Cc0.705 ± 0.034 Aa0.334 ± 0.010 Cc92.3 ± 0.6 Ba3.577 ± 0.065 BCa2.557 ± 0.088 Ba52.8 ± 1.2 Bb
ATP-456.2 ± 0.3 Ba0.596 ± 0.022 Cb0.413 ± 0.006 Bc93.5 ± 0.4 Aa3.642 ± 0.051 Ba2.676 ± 0.065 Aa39.9 ± 0.6 Cd
DSCK33.7 ± 0.8 Dd0.501 ± 0.027 Ca0.216 ± 0.006 Ec81.4 ± 0.2 Eb3.196 ± 0.058 Ca1.709 ± 0.040 Db58.5 ± 1.0 Ac
ATP-136.7 ± 2.4 Cb0.565 ± 0.064 Ba0.257 ± 0.003 Dc84.1 ± 0.3 Db3.353 ± 0.056 Bb1.974 ± 0.041 Cb56.4 ± 2.9 Ab
ATP-252.6 ± 0.4 Bb0.580 ± 0.026 Bb0.418 ± 0.007 Cb85.2 ± 0.3 Cb3.416 ± 0.055 Bb2.082 ± 0.049 Bb38.2 ± 0.7 Cb
ATP-362.7 ± 0.2 Aa0.675 ± 0.022 Aa0.516 ± 0.006 Bb87.7 ± 0.2 Ab3.523 ± 0.043 Aa2.335 ± 0.041 Ab28.6 ± 0.3 Dc
ATP-451.0 ± 0.2 Bb0.714 ± 0.011 Aa0.550 ± 0.003 Aa86.7 ± 0.3 Bb3.583 ± 0.052 Aa2.397 ± 0.059 Ab41.2 ± 0.5 Bc
CSCK18.1 ± 0.5 Dd0.271 ± 0.016 Bc0.155 ± 0.003 Cd74.0 ± 0.0 Ec2.957 ± 0.037 Db1.536 ± 0.023 Ec75.6 ± 0.7 Ba
ATP-119.6 ± 0.8 Cd0.317 ± 0.024 Ac0.183 ± 0.005 Bd75.4 ± 0.1 Cc3.061 ± 0.035 Cc1.664 ± 0.024 Cc74.0 ± 1.1 Ba
ATP-232.8 ± 0.5 Ad0.336 ± 0.018 Ad0.244 ± 0.004 Ac76.4 ± 0.1 Bc3.289 ± 0.034 Ac1.836 ± 0.026 Bc57.1 ± 0.6 Da
ATP-317.8 ± 0.8 Dd0.348 ± 0.022 Ac0.186 ± 0.005 Bd78.7 ± 0.12 Ac3.209 ± 0.037 Bb1.960 ± 0.033 Ac77.4 ± 1.1 Aa
ATP-422.3 ± 0.8 Bd0.329 ± 0.026 Ac0.161 ± 0.005 Cd74.9 ± 0.0 Dc3.030 ± 0.041 Cb1.603 ± 0.026 Dc70.2 ± 1.1 Ca
SSCK23.6 ± 1.9 Ec0.315 ± 0.061 Bc0.368 ± 0.014 Ea30.1 ± 0.8 Ed0.788 ± 0.089 Dc0.567 ± 0.019 Ed21.7 ± 4.2 Cd
ATP-133.1 ± 1.2 Dc0.432 ± 0.042 Ab0.514 ± 0.009 Ba46.1 ± 0.8 Dd1.465 ± 0.079 Cd0.753 ± 0.023 Dd28.2 ± 1.3 Bd
ATP-244.1 ± 0.5 Bc0.409 ± 0.026 Ac0.480 ± 0.006 Ca48.7 ± 0.4 Cd1.553 ± 0.079 Cd0.851 ± 0.025 Cd9.5 ± 0.3 Ed
ATP-348.8 ± 0.5 Ab0.434 ± 0.033 Ab0.554 ± 0.021 Aa56.7 ± 0.6 Bd2.082 ± 0.064 Bc1.077 ± 0.027 Bd14.0 ± 0.1 Dd
ATP-437.4 ± 0.7 Cc0.318 ± 0.030 Bc0.428 ± 0.007 Db66.3 ± 1.3 Ad2.557 ± 0.057 Ac1.437 ± 0.039 Ad43.6 ± 0.0 Ab
Note: LS is lou soil; DS is dark loessial soil; CS is cultivated loess soil; SS is sandy soil. WR0.25 is the content of >0.25 mm soil water-stable aggregate; DR0.25 is the content of >0.25 mm soil mechanical stable aggregate; W−MWD is the mean weight diameter of water-stable aggregate; D−MWD is the mean weight diameter of mechanical stable aggregate; W−GWD is the geometric mean diameter of water-stable aggregate; D−GWD is the geometric mean diameter of mechanical stable aggregate; PAD0.25 is the >0.25 mm percentage of aggregate destruction. The data represent means ± standard deviation. Different uppercase letters indicate significant differences in the parameters for different ATP application amounts for the same soil type. Different lowercase letters indicate significant differences in the parameters for the same ATP application amounts in different soil types.
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Yang, T.; Xing, X.; Gao, Y.; Ma, X. An Environmentally Friendly Soil Amendment for Enhancing Soil Water Availability in Drought-Prone Soils. Agronomy 2022, 12, 133. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy12010133

AMA Style

Yang T, Xing X, Gao Y, Ma X. An Environmentally Friendly Soil Amendment for Enhancing Soil Water Availability in Drought-Prone Soils. Agronomy. 2022; 12(1):133. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy12010133

Chicago/Turabian Style

Yang, Ting, Xuguang Xing, Yan Gao, and Xiaoyi Ma. 2022. "An Environmentally Friendly Soil Amendment for Enhancing Soil Water Availability in Drought-Prone Soils" Agronomy 12, no. 1: 133. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy12010133

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