TY - JOUR AU - Liu, Zhen AB - 1. Introduction Environmental restoration is the process of promoting the secondary succession of vegetation through human-initiated activities [1–5]. It is an important step in sustainable human development [6, 7]. Utilizing functional materials to enhance soil and water conservation and vegetation growth effects is an important mean of environmental restoration [8, 9]. Based on comprehensive considerations of environmental restoration effects and cost, red bed composite polymers made of weathered red bed soil, adhesive material, and water-retaining material were developed [10], and began to be applied in environmental restoration. These low cost, naturally degradable composite polymers can improve the water retention capacity of soil masses, agglomerate soil particles, improve soil structure, and enhance soil strength, thus offers good economic and environmental benefits [11, 12]. However, the action mechanism of the red bed composite polymers in environmental restoration is unclear, especially their impact on the water‒soil-air‒plant mutual feedback mechanism is not well studied, making it difficult for the polymers to be widely used in environmental restoration. Therefore, understanding the water‒soil-air‒plant feedback mechanism based on the red bed composite polymers is of great significance for their increased application in environmental restoration. The environmental restoration is based on the interaction between water, soil, air, and plant (eg., [13–17]). Under the combined effects of water, soil conditions, and air content, plants can grow at their optimal state [18]. In nature, water‒soil-air‒plant mutual feedback is not always optimal. Due to the influence of external environmental factors, mutual interactions can be altered, disrupting ecosystem balance and hindering environmental restoration [19]. Water content is a key environmental factor affecting the species composition of each layer of communities in the process of environmental restoration [20]. The environmental restoration is also limited by soil conditions [21–23]: Plant reduces the incidence of net solar radiation and has a certain regulatory effect on soil temperature, resulting in daily temperature fluctuations and reduced evaporation [24, 25]; Conductivity and pH of soil play the decisive roles in ion exchange between plants and soil [26]. Changes in air content (such as O2 and CO2) affect the biochemical reaction rate during environmental restoration process [27]. Germination rate and height of plants are important indicators for regulating the evolution of ecosystems [28]. Moreover, soil microorganisms can serve as an organic medium to regulate the environmental restoration n process by reshaping bacterial communities [29, 30]. The above studies have elucidated their roles in environmental restoration from the perspectives of water, soil, air, and plant. However, further research is needed on the water‒soil-air‒plant mutual feedback mechanism based on red bed composite polymers. Most studies have mainly focused on the effect of red bed composite polymers. For example, Zhou et al. [31] studied the quantitative relationship between soil conductivity and environmental temperature, as well as the concentration of composite polymers, and analyzed the effect of different concentrations of composite polymer addition on the growth status of small flowers and pigeon pea (cajanus cajan). Huang et al. [32] analyzed the effects of red bed composite polymers on the water retention and erosion resistance of weathered silty clay, as well as plant growth, by studying the ratio of water-retaining materials and adhesive materials. Zhou et al. [33] studied the role of water-retaining materials through shear, permeability, porosity, and plant growth experiments, indicating that they can increase the permeability, porosity, and water retention capacity of weathered red bed soil, promote plant root growth, but reduce the the shear strength of the soil. Overall, the composites enhance soil water retention and stability, form an environment conducive to vegetation survival, and help vegetation quickly recover and grow. The underlying principle in the water‒soil-air‒plant mutual feedback model of environmental restoration, is that the water-retaining material mainly drives the regulation of soil water content. When there is abundant water, the water-retaining material absorbs water and expands, while when there is insufficient water, the material releases water and contracts. Also, the adhesive materials is configured to help agglomerate soil particles, maintain soil structure, and improve soil properties, thereby helping the plants adapt to different environments [34, 35]. The above studies analyzed the role of red bed composite polymers and obtained their basic properties and environmental restoration effects. However, these studies have not clearly revealed the water-soil-air-plant feedback mechanism and the suitable application environment and optimal composition of the red bed composite polymers. Therefore, to address the aforementioned scientific issues, we examined the effects of 10 different ratios of red bed composite polymers and 3 initial water contents on plant growth. the objectives of this study were to: (1) Determine the effects of red bed composite polymers on single factors such as water, soil, air, and plant; (2) Determine the impact of red bed composite polymers on the mutual feedback trend and mechanism of water-soil-air-plant; (3) Determine the suitable environment and optimal composition of the red bed composite polymers. 2. Methods 2.1. Experimental principles The secondary succession model for environmental restoration is shown in Fig 1 (modified from the literature [36]). According to the process of secondary succession, environmental restoration with the red bed composite polymers and plant roots can be divided into three stages [36]: (1) Stage I: Red bed composite polymers—initiated restoration stage. The plant root system has not yet developed, and restoration mainly depends on the remedial effect of composites on the soil. The adhesive material promotes soil aggregation, improves soil erosion resistance, and slows the migration of soil with water flow; the water-retaining material efficiently conserves water, enhances water-retaining capacity, slows soil erosion, enhances nutrient and air flow in soil pores, and provides environmental conditions conducive to plant growth and development [37]. (2) Stage II: Coremediation stage involving the red bed composite polymers and plant roots. Plant roots begin to grow and have a certain anchoring effect on shallow soil layers; the red bed composite polymers continue to have a significant impact on soil improvement. The growth of plant leaves increases vegetation coverage over the soil, weakens the transpiration of soil water, weakens erosion due to rainfall, and regulates the water and air content in soil pores. (3) Stage III: Plant root—driven restoration stage. The red bed composite polymers decompose until degradation is complete, and at this time, the main environmental restoration work is carried out by plant roots. Plants enter the mature stage of growth, and root systems further expand and reach deeper soil layers. Vegetation growth is abundant in various layers, and species richness increases after communities are formed. The soil fixation effect of plant roots and the hydrological effect of plant stems and leaves are enhanced [38, 39]. Ultimately, the depth and breadth of plant roots meet the requirements for environmental restoration, and plant ecosystems can effectively play a role in preventing wind and sand erosion, maintaining soil and water, conserving water sources, and promoting the favorable cycling of regional ecosystems. Download: PPT PowerPoint slide PNG larger image TIFF original image Fig 1. Secondary succession model of an ecosystem. https://doi.org/10.1371/journal.pone.0310172.g001 In Fig 1, the degree of restoration achieved by the red bed composite polymers can be represented the aggregation and water retention induced by this material in the soil. The degree of restoration due to plant roots represents the ability of plant roots to stabilize soil during the process of root elongation and densification. Secondary succession of ecosystems indicates the carrying capacity of ecosystems in the process of environmental restoration. The red bed composite polymers are used to improve soil, in which the soil serves as a host for water‒soil-air mutual feedback, and plants, water, and air are interconnected with each other through soil as the medium. Plants grow on the soil, and plant roots absorb soil water and carry out air exchange, gradually weakening the effect of the red bed composite polymers. It can be seen that in the water‒soil-air‒plant mutual feedback model, the red bed composite polymers mainly play a role in Stages I and II of secondary succession during environmental restoration. 2.2. Experimental materials The materials used in this study mainly consisted of natural weathered red bed soil, a water-soluble adhesive material (gel shape), a water-retaining material (granular shape) with extremely high water absorption capacity, water, and pigeon pea seeds (Fig 2). Natural weathered red bed soil is obtained from the surface particles of weathered red bed mudstone in southeastern China, with a particle size range of 1~3 mm. Specific information on the adhesive (polyvinyl acetate, (CH2CHCOOCH3)n) and water-retaining (sodium polyacrylate, (C3H3NaO2)n) materials used in this study has been provided in previous studies [40]. The experimental water is tap water. Pigeon pea seeds were collected in October 2022 and are of good quality and high germination rate. The total growth time of pigeon pea is 80 days, with the first 14 days being the germination stage, the next 13 days being the seedling stage, and the last 53 days being the withering stage of pigeon pea (a decrease in watering frequency causes the natural death of pigeon pea). Download: PPT PowerPoint slide PNG larger image TIFF original image Fig 2. Test materials. https://doi.org/10.1371/journal.pone.0310172.g002 2.3. Experimental layout Research has shown that when the adhesive material dosage is 10~15 g/m2 and the water-retaining material dosage is 60~70 g/m2, the environmental restoration effect is better [41]. Based on this, plant growth tests were conducted with different red bed composite polymer compositions (Table 1, 0.5~2.0 times the optimal content proposed by previous researchers) and initial water content conditions were designed. No. 1~4 groups are used to study the influence of different materials, while No. 4~10 groups are used to study the influence of material contents. The soil initial water contents w0 for all groups are set to 10% (in a water-deficient state), 20% (in a water-containing state), and 30% (in a water-rich state) to study the effect of water content on the water‒soil-air‒plant mutual feedback mechanism. A total of 90 plant growth tests were conducted (10 red bed composite polymer compositions × 3 initial water content × 3 replicates). The images of No. 1~10 groups during the tests at different growth stages are shown in Fig 3. Download: PPT PowerPoint slide PNG larger image TIFF original image Fig 3. Test process (the black numbers in the figure represent the test numbers corresponding to Table 1). https://doi.org/10.1371/journal.pone.0310172.g003 Download: PPT PowerPoint slide PNG larger image TIFF original image Table 1. Red bed composite polymer compositions. https://doi.org/10.1371/journal.pone.0310172.t001 The experimental steps include: (1) Prepare a biodegradable soil container (length of 17.5 cm, width of 12 cm, and height of 7 cm) with holes drilled at the bottom to ensure that the container is permeable and allows air entry. Sodium polyacrylate was used to prepare water-retaining material particles (the specific steps are described in the literature [40]), and the corresponding mass of this material was weighed according to Table 1. Weigh 500 g of natural weathered red bed soil, mix it evenly with the water-retaining material, and place them in a biodegradable soil container. (2) Soak seeds for 12 hours, then uniformly bury 12 seeds at a depth of 1.5 cm from the soil surface. (3) The adhesive material is prepared using polyvinyl acetate, and the specific steps are described in the literature [40]. Weigh a certain amount of this material according to Table 1, add 100 mL of water to prepare the dispersion liquid, and evenly spray it on the soil surface. Then, take 50 mL of water, spray it on the surface of the soil and leave the soil undisturbed for 2 hours. After the soil is fully saturated with water, monitoring the water content to ensure that w0 of the sample is 10%, 20%, or 30%. Finally, YT-WSYP four-in-one soil detector (see Section 2.4) was used to monitor the water content w in real-time throughout the experiments. By regularly adding water, ensure that w = w0 (with an error of less than 10%) during the first 14 days (germination stage) of the experiment. And water the samples every 15 days until w = w0 in seedling and withering stages. (4) According to the suitable growth environment for pigeon pea [42], place the sample in an environment with a temperature of 25°C, relative humidity of 50% RH, and light intensity of 10000 Lx. Based on the impact of water, soil, air, and plant on environmental remediation in Introduction, the following key parameters were selected for monitoring: (1) Water characterization: water content w, which directly affects energy exchange between roots and soil; (2) Soil characterization: soil temperature T, which affects the activity of biological enzymes; ion concentration (conductivity σ), which affects osmotic pressure; and pH value, which affects soil fertility; (3) Air characterization: O2 or CO2 content c, which affect root respiration; (4) Plant characterization: germination number n and plant height h, which describe plant growth. These key parameters were recorded every two days during the germination (first 14 days) and intermittently during the seedling stages (next 13 days) and withering stage (last 53 days). 2.4. Experimental equipment The equipments used in this study (Fig 4) mainly included (1) RGX-1000 artificial climate incubator to ensure the optimal germination temperature for pigeon pea. Its temperature control range is 5 ~ 65°C, with an accuracy of 0.1°C. The humidity range is 30 ~ 95% RH, with an accuracy of 0.1% RH. The lighting control range is 0~20000 Lx, with 8-level adjustable. (2) YT-WSYP four-in-one soil detector is used to monitor the water content, soil temperature, soil electrical conductivity, and pH value. Its temperature measurement range is -40~100°C, with an accuracy of 0.1°C. The measurement range of water content is 0~100%, with an accuracy of 0.1%. The pH measurement range is 0~14, with an accuracy of 0.1. The conductivity measurement range is 0~20 μS/cm, with an accuracy of 1 μS/cm. (3) The 13.05.03PRO soil air composition detector is used to monitor the content of O2 and CO2 in soil air. The O2 content measurement range of soil air composition detector is 0~25%V/V, the CO2 content measurement range is 0~50%V/V, and the measurement accuracy is 0.01%V/V. The measurement response time is 10 s. The sampling rod has a length of 80 or 120 cm and a diameter of 1.2 cm. (4) Use a graduated scale to measure the height of plants, with a measurement range of 0~20 cm and an accuracy of 0.1 cm. Download: PPT PowerPoint slide PNG larger image TIFF original image Fig 4. Test equipment. https://doi.org/10.1371/journal.pone.0310172.g004 2.5. Statistical analyses SPSS PRO online data analysis program was used to analyze the correlation between water, soil, air, plant and experimental time, as well as the correlation of mutual feedback characteristics between water, soil, air, and plant. The analysis method used is Pearson correlation analysis. The statistical assumption is H0: r = 0, which means the correlation between the two columns of data is 0, while H1: r≠0, which means the correlation between the two columns of data is not 0. When P<0.01, it indicates that H0 is not significantly correlated, indicating a high degree of correlation between the two columns. When 0.01