1. Introduction
Nature rubber (Hevea brasiliensis) is of great economic importance in tropical regions, and its plantations have recently expanded quickly across mainland Southeast Asia and are projected to increase by 8.5 million hectares in the next ten years [1,2]. In rubber agroforestry, the soil tends to be acidic, with low organic matter concentration and soil fertility [2,3,4]. Chemical fertilizers are frequently applied to improve soil fertility and increase rubber yield [5]. However, the excessive use of these fertilizers can cause environmental issues like nutrient imbalance, nitrogen leaching, soil acidification, and low soil fertility [2]. Therefore, there is a need to find a viable approach that might mitigate the adverse effects of chemical fertilizers on the ecosystems, potentially leading to enhanced nutrient accumulation in rubber plantations.
In many agricultural systems, organic fertilizers are frequently used as a partial place of inorganic fertilizers in order to maintain soil organic carbon (SOC) levels and increase the availability of soil N, P, and K [6,7]. According to Salehi et al. (2017), adding both organic and inorganic fertilizers increased soil SOC by 2.45% and total nitrogen (TN) content by 3.27% when compared to the control. However, organic and inorganic fertilizations were reported to result in differences in soil SOC and other soil physicochemical properties, probably because fertilization type, application time, and climate can induce contrasting soil physicochemical properties. In fact, a recent study in a subtropical climate demonstrated that substituting chemical fertilizers with organic fertilizers over 38 years yielded higher soil C, N, and P than chemical fertilizers (NPK) and control (no fertilization) [5]. Besides, after 30 years of co-application of organic and inorganic fertilizers in semi-arid regions, the soil SOC content improved but had no positive effect on soil N, P, and K [9]. However, in tropical areas of Hainan Island, China, where annual mean temperature and precipitation are high, the impact of substitution inorganic fertilizers with organic fertilizers on soil physicochemical properties, SOC, and nitrogen content remains unclear.
Soil enzymatic activity is crucial for assessing the relationship between soil nutrients, especially changes in soil organic carbon content and composition [5,10,11] Recent research indicates that the SOC mineralization process may be influenced by specific enzymes involved in carbon cycling, such as β-1, 4-glucosidase (BG) and cellulase (CEL) [2,12]. Other studies have also shown that the use of fertilizers can cause significant alterations in enzymatic activity and nutrient levels in soil [2,5,13]. However, it is still not fully understood whether the variations in enzyme activities due to the use of organic and inorganic fertilizers are closely connected to changes in soil nutrient concentration in rubber plantations.
China is the sixth-largest natural rubber producer globally, with a total output of 0.65 million metric tons, and Hainan Island is the primary site in China for natural rubber cultivation [14,15]. It is crucial that the use of inorganic fertilizers has resulted in significant soil nutrient depletion, reduced soil enzymatic activity, and land degradation in rubber plantations. However, the comprehensive understanding of the partial replacement of inorganic fertilizers with organic fertilizers on soil SOC and nitrogen content and the enzyme associated with nutrient cycling in rubber plantations is not fully understood in Hainan Island, which is characterized by high annual temperature and precipitation. Therefore, this study aimed to (1) elucidate the influence of partial substitution of inorganic fertilizer with organic fertilizers on soil organic carbon (SOC) and nitrogen (N) properties and SOC and N converting enzyme activity and (2) examine the relationship between SOC, nitrogen characteristic, and soil enzyme activity. This study findings will enhance rubber plantation management through the optimization of fertilization applications, leading to improved environmental quality and sustainable agriculture.
2. Materials and Methods
2.1. Study Area Overview
The research site is located at Zhubi farmland, Baisha County, Hainan Island, China (19°23′13.83″N, 109°17′35.82″E, 114 m above sea level) in a rubber plantation field. The climate in this area is characterized as a tropical monsoon climate, with a period of rainfall occurring from May to October, followed by a dry period from November to April of the subsequent year. The annual average temperature ranges from 21 to 29 ◦C, with an average rainfall of 1,725 mm. As per the USA Soil Classification System, the soil is categorized as Ultisols and is produced from granite brick red soil. The soil composition of the rubber plantation consists of 43.71% sand, 8.28% silt, and 48.01% clay. The basic chemical and physical characteristics are shown in
Table 1.
2.2. Experimental Design
In 2004, a clone PR-107 rubber tree was planted at the research site with a recommended density of 3 × 7 m, equal to 480 plants per hectare. Six fertilization treatments with three replications were set up in a randomized complete block design for this study: (1) CK: no fertilization as control, (2) NPK: chemical fertilizer application100, (3) 25%M: manure 25 % plus 75 % chemical fertilizers, (4) 50 % M: manure 50 % plus 50% chemical fertilizers, (5), 75% M: manure 75% plus 25% chemical fertilizers, (6) M: manure application 100%. There was a total of 18 plots chosen for the fertilization treatments. Each plot had an area of 667 m
2 and was separated by a 20 m transition zone. The manure comprised cow dung with 5.76 g.kg
−1 N, 0.29 g.kg
−1 P, and 0.27 g.kg
−1 K. Using the local conventional farming practices, we applied the recommended rates of urea, superphosphate, potassium chloride, and organic fertilizer, which were adjusted to ensure equal nitrogen (total nitrogen) substitution. All treated organic fertilizers were applied at one time at the beginning of the experiment in April 2021, and all chemical fertilizers were applied in April, June, and September in accordance with 2:1:1, and the total amount of fertilizer applied to each fertilization pit each year is shown in
Table 2.
2.3. Soil Sample Collection and Analysis
In April 2022, five samples were collected from each plot and mixed thoroughly to make a composite sample from a depth of 0-10, 10-20, 20-30, and 30-40 cm using an augur (5 cm in diameter). The samples were then transported/stored in the laboratory using ice bags. The soil was air-dried and sieved through 0.149 mm in order to determine SOC and other soil physical and chemical properties. The second part was kept at 4 ◦C to determine soil moisture content, ammonium nitrogen (NH4+-N), nitrate nitrogen (NO3--N) content, and soil enzyme activities of β-1,4-glucosidase (BG), acetylglucosaminidase (NAG) and L-leucine aminopeptidase (LAP).
The SOC was quantified using the dichromate oxidation method [16]. A pH electrode (PHS-3E, INESA, China) was used to measure the pH of suspension with water in a 1:2.5 ratio. The soil moisture content was determined by the drying method, the total nitrogen content of the soil was extracted by the semi-micro-Kelvin method and determined by a fully automated flow analyzer, and the content of ammonium nitrogen and nitrate nitrogen in the soil was extracted by KCl and determined by automatic flow analyzer (Proxima1022/1/1, Alians Scientific Instruments, France). Using the DeForest (2009) method, soil enzyme activity BG, NAG, and LAP were measured fluorometrically in 300-ml and 96-well polystyrene microplates.
2.4. Statistical Analysis
The normality and homogeneity of variances were evaluated prior to data analysis using the Shapiro-Wilk test (P > 0.05) and Levene test (P > 0.05), respectively. After fulfilling these two criteria, significant differences in SOC, pH, nitrogen properties, and soil enzyme activities were examined through one-way ANOVA using the SPSS statistical software (IBM Crop., Chicago, USD). The statistical significance was evaluated using Tukey’s test, with a fixed significance level of P > 0.05. Pearson correlation analysis and Redundancy analysis (RDA) were performed in Origin and R-Studio [18], and all the figures were created using Origin 2021 (Origin Lab. Crop).
3. Results
3.1. Fertilization Influence on Soil Physiochemical Characteristics
In rubber plantations, there were significant variations in soil physicochemical characteristics among the fertilization application (
Figure 1). The SOC exhibited a notable difference the higher SOC occurred for 100% M, followed by 75% M and then 50% M for all depths (
Figure 1a). For example, the higher SOC for 100% M displayed as 14.96, 11.36, 11.14, and 11.05 g.kg
−1 at 0-10, 10-20, 20-30, and 30-40 cm, respectively. The lower SOC of CK ranged from 8.04 to 13.55 g.kg
−1 over all four depths. The differences in SOC also depended on the soil depth, and the most evident differences of SOC among fertilization treatments occurred at 20-30 cm depth. In addition, there were notable differences in soil total nitrogen (TN) between fertilization treatments, as shown in
Figure 1b. The 100% M treated plot has the higher TN followed by 75% M and 50% M at all depths. For example, the TN of 100% M treatment varied between 0.86 to 1.02 g.kg
−1, 75% M varied between 0.79 to 1.01 g.kg
−1, 50% M varied between 0.74 to 1.06 g.kg
−1, 25% M varied between 0.71 to 1.05 g.kg
−1, NPK varied between 0.68 to 1.02 g.kg
−1, and CK varied between 0.65 to 1.02 g.kg
−1. The TN among fertilization treatments also depended on soil depth, the most visible difference among fertilization treatments occurred in 20-30 and 30-40 cm depths. There was also a significant difference in C:N, where there was no significant difference in pH (
Figure 1cd).
Various levels of replacement of inorganic fertilizer with organic fertilizers resulted in contrasting soil nitrogen mineralization in different soil depths. (
Figure 2). The soil mineral nitrogen (N) was significantly different from the higher N observed in NPK treatment followed by 25% M and then CK at all depths (
Figure 2a). For example, the lower mineral nitrogen of 100% M was found to be 19.95 mg.kg
−1 at 0–10 cm, 16.49 mg.kg
−1 at 10–20 cm, 13.25 mg.kg
−1 at 20–30 cm, and 12.01 mg.kg
−1 at 30–40 cm. The higher N of NPK treatment ranged from 13.4 to 23.09 mg.kg
−1. The N is also different among fertilizer applications for soil depths, and the most visible differences are shown at 10-20 and 20-30 cm depths. There were also significant differences in NH
+4-N and NO
-3-N between fertilization applications, as shown in
Figure 2bc. Different from mineral nitrogen order among fertilization applications, the 100% M, 75% M, 50% M, and 25% M had higher NH
+4-N than NPK and CK at all depths (
Figure 2b). There were also significant differences in NO
-3-N among fertilization treatments (
Figure 2c). For example, the NO
-3-N of 100% M treatment ranged from 5.16 to 10.1 mg.kg
−1, 75% M ranged from 5.41 to 11.15 mg.kg
−1, 50% M ranged from 4.18 to 11.06 mg.kg
−1, 25% M ranged from 3.97 to 9.44 mg.kg
−1, NPK ranged from 3.81 to 8.84 mg.kg
−1, and CK ranged from 2.46 to 6.2 g.kg
−1.
3.2. Fertilization Effect on Soil Enzyme Activities
The activities of soil carbon and nitrogen-converting enzymes were significantly different between fertilization treatments (
Figure 3). The soil enzyme BG was significantly different among fertilization treatments the higher was recorded for 75% M followed by 50% M and lower for NPK and CK treatment for all depths (
Figure 3a). The difference in BG enzyme also depended on soil depth for example, at 0-10 cm depth among fertilization treatments followed an order 50% M (143.17) > 25% M (140.30) > 75% M (138.85)> 100% M (138.27) > NPK > (143.17) > CK (125.82 nmol.g
−1.h
−1). Similarly, the soil enzyme NAG was significantly different the higher NAG was observed for > 75% M, followed by 50% M, > 25% M, > > 100% M, > NPK, and then CK (
Figure 2b). The differences in NAG also depended on the soil depth, and the most evident differences of NAG among fertilization treatments occurred at 0-10 cm depth followed an order 50% M, >25% M, > 75% M,> 100% M, >NPK, and > CK. There were also significant differences in LAP enzyme among fertilization treatments (
Figure 3c). The LAP enzyme showed a consistent trend in the other soil layers.
3.3. Relationship between Soil Physiochemical Characteristics and Soil Enzyme Activity
The Pearson correlation analysis further indicated the fertilization effect on soil physiochemical characteristics soil carbon, nitrogen content, and soil enzyme activity at various soil depths (
Figure 4). For example, at 0-10 cm depth, the SOC was significantly positively correlated with C:N and pH, while negatively correlated with mineral nitrogen, and nitrate nitrogen and enzyme activity (BG, NAG, and LAP). Redundancy analysis (RDA) was performed using carbon and nitrogen converting enzymes (BG, NAG, and LAP) as dependent variables and soil physicochemical properties (SOC, TN, AN, C:N, pH, NH
4+-N, NO
3--N) as independent variables (
Figure 5). For example, at 0-10 cm soil layer after the partial substitution of inorganic fertilizers with organic fertilizers application the influence of soil physicochemical properties on three soil activities were follow an order NO
3—N > NH
4+-N > pH > C:N > SOC > AN > TN. RDA-1 explained 92.29%, and RDA-2 explained 5.48% of total variations (
Figure 1a). The same trends follow for other soil layers.
4. Discussion
4.1. Partial Substitution of Inorganic Fertilizers with Organic Fertilizers Impact on Soil Physicochemical Characteristic
The implementation of management practices can have a substantial influence on the physical and chemical characteristics of soil and significantly influence its overall quality [19]. Our study revealed that partially replacing inorganic fertilizers with organic fertilizers makes it possible to maintain or even enhance the soil C content compared to sole inorganic fertilizer or control. Previous studies have shown that balanced fertilization is a sustainable strategy for preserving soil organic carbon (SOC) contents [5,20]. Using organic amendments can improve soil nutrient availability and increase organic carbon content. Moreover, they can enhance soil structure, decrease soil erosion, and lower nutrient losses through runoff [21]. Furthermore, the use of both organic and inorganic fertilizers resulted in an increase in the nitrogen content of the soil [22,23]. In this study, soil pH was slightly increased by partially replacing inorganic fertilizers with organic fertilizers because the organic fertilizers contain manure, which may increase the soil pH due to the alkaline nature of manure [24]. The correlation analysis and redundancy analysis (RDA) also showed SOC had a positive correlation with soil pH in
Figure 4, indicated that pH plays a significant role in organic and inorganic fertilizer application.
Furthermore, this study demonstrates that partial substitution of inorganic fertilizers with organic fertilizers can lead to a considerable increase in soil total nitrogen (TN) and available nitrogen (AN) concentration. Hence, in comparison to inorganic fertilizers, organic fertilizers promote nitrogen accumulation in the soil and improve its capacity for nitrogen storage [5,23,25]. The fertilization had a significant impact on the C:N ratio in this study, consistent with prior research indicating that applying urea to soil with a high C:N ratio can reduce the retention of plant litter as soil organic carbon (SOC) and result in the depletion of existing SOC [26,27]. The soil with a high C:N ratio (<25) signifies that organic matter is accumulating in the soil at a faster rate than it is being decomposed. However, in the current study, the soil C:N ratio varied between 12 and 15.7, suggesting that the soil organic matter has thoroughly degraded [5]. In addition, the partial replacement of conventional N fertilizers with organic fertilizers increased the content of available nitrogen, nitrate, and ammonia in this study. Firstly, organic fertilizers like manure and compost, containing organic matter serving as a substrate for microbial activity, contribute to increased nitrogen availability in soil by releasing NH+4-N during microbial decomposition, which undergoes nitrification processes to convert into NO-3-N, thereby increasing the availability of both forms of nitrogen in soil [28,29]. Secondly, due to extreme weather conditions (high temperature and rainfall) in southern China, Hainan region, nitrogen undergoes rapid conversion in the soil, resulting in the loss of NH4+ and NO3– through ammonia volatilization and nitrate leaching [2]. Thirdly, organic fertilizers lead to enhanced soil structure and water retention capacity, which might create a condition that is favorable for nitrification processes and promote the accumulation of nitrate and ammonia ions in the soil [29].
4.2. Partial Substitution of Inorganic Fertilizers with Organic Fertilizers Impact on Soil Enzyme Activity
The study of soil nitrogen and carbon-converting enzymes and their changes under partial substitution of inorganic fertilizers with organic fertilizers is essential for understanding soil health and nutrient flow in agroecosystems. According to the findings of this study, the partial substitution of inorganic fertilizers with organic fertilizers significantly increased the soil enzyme activity relative to sole NPK and CK in
Figure 3, consistent with the previous study [2,5]. Organic fertilizers contribute to improved plant growth and development by improving root biomass and exudates, which in turn enhance soil enzyme activity [6]. Organic fertilizers can help adjust the C:N ratio to provide a more suitable environment for microorganisms. Nevertheless, organic fertilizers have a more significant impact on soil extracellular enzyme activity. This is probably due to exogenous organic materials stimulating C-related enzymes that speed up the degradation of cellulose, hemicellulose, and lignin [30]. Organic fertilizers can supply soil enzyme substrates, leading to increased enzyme activity and providing protection against carbon and nitrogen depletion [27].
Soil pH influences enzyme activity and biosynthesis by altering microbial composition and nutrient availability [31]. Our study revealed a substantial positive correlation between soil pH and all soil enzymes in the surface soil (
Figure 4). Partially substituting inorganic fertilizer with organic fertilizer may have caused an elevation in soil pH in the acidic tropical soil, thereby increasing BG, NAG, and LAP activities in the soil [2,31]. Furthermore, the partial replacement of inorganic fertilizers with organic fertilizers can enhance the synthesis of enzymes that degrade carbon and acquire nitrogen in response to sole nitrogen fertilizer. The soil enzymes BG, NAG, and LAP exhibited a strong positive relationship with SOC and TN, indicating their essential function in breaking down proteins [13,32]. Considering proteins make up 60% of the total nitrogen in plant and microbial cells, LAP may be the critical factor in nitrogen mineralization [33].
5. Conclusion
Our study explored the influence of partial substitution of inorganic fertilizers with organic fertilizers on soil physicochemical characteristics, SOC and nitrogen concentrations, and soil enzyme activity under natural rubber plantations. The results demonstrated that the application of partial substitution of chemical fertilizers with organic fertilizers significantly influences the nutrient content. The influence is primarily achieved through alteration in SOC and nitrogen concentrations, nitrogen mineralization, and soil enzyme activity. Notably, the 50% M and 75% M treatments significantly increased the SOC and nitrogen concentrations, as well as soil enzyme activity, compared to sole NPK and CK. The results showed that in a rubber plantation on Hainan Island, replacing inorganic fertilizers with organic fertilizers could help preserve soil organic carbon stability, nitrogen concentration, and enzyme activity. We recommended considering that 50 % or 75 % organic fertilizers with inorganic fertilizers could be an optimal strategy to enhance nutrient availability for sustainable agricultural production in Hainan Island.
Author Contributions
Q.Y. Writing original draft, Data curation. J.L. Writing original draft, Data curation. W. X. Data curation. J.W. Data curation, Y.J: Data curation, Writing—review & editing. W.A. Writing—review & editing, Supervision, Methodology, Funding acquisition, Conceptualization, Data curation. W.L. Writing—review & editing, Supervision, Methodology, Funding acquisition, Conceptualization.
Acknowledgments
This work was financially supported by the Key Research and Development Project of Hainan Province (No. ZDYF2022XDNY181), the National Natural Science Foundation of China (No. 42367034 and 32160291), and the National Key Research and Development Program of China (No. 2018YFD0201105).
Conflicts of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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