• ZHOU Jiqiong , 1, * ,
  • GONG Jinchao 1 ,
  • WANG Pengsen 1 ,
  • SU Yingying 1 ,
  • LI Xuxu 1 ,
  • LI Xiangjun 1 ,
  • LIU Lin 1 ,
  • BAI Yanfu 1 ,
  • MA Congyu 1 ,
  • WANG Wen 2 ,
  • HUANG Ting 1 ,
  • YAN Yanhong 1 ,
  • ZHANG Xinquan 1
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收稿日期: 2024-03-06

  修回日期: 2024-06-03

  录用日期: 2024-06-18

  网络出版日期: 2025-08-14

Historical tillage promotes grass-legume mixtures establishment and accelerates soil microbial activity and organic carbon decomposition

  • ZHOU Jiqiong , 1, * ,
  • GONG Jinchao 1 ,
  • WANG Pengsen 1 ,
  • SU Yingying 1 ,
  • LI Xuxu 1 ,
  • LI Xiangjun 1 ,
  • LIU Lin 1 ,
  • BAI Yanfu 1 ,
  • MA Congyu 1 ,
  • WANG Wen 2 ,
  • HUANG Ting 1 ,
  • YAN Yanhong 1 ,
  • ZHANG Xinquan 1
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  • 1Department of Grassland Science, College of Grassland Science & Technology, Sichuan Agricultural University, Chengdu 611130, China
  • 2Yunnan Sheep Breeding and Extension Center, Kunming 655204, China
* ZHOU Jiqiong (E-mail: )

The first and second authors contributed equally to this work.

Received date: 2024-03-06

  Revised date: 2024-06-03

  Accepted date: 2024-06-18

  Online published: 2025-08-14

本文引用格式

ZHOU Jiqiong , GONG Jinchao , WANG Pengsen , SU Yingying , LI Xuxu , LI Xiangjun , LIU Lin , BAI Yanfu , MA Congyu , WANG Wen , HUANG Ting , YAN Yanhong , ZHANG Xinquan . [J]. Journal of Arid Land, 2024 , 16(7) : 910 -924 . DOI: 10.1007/s40333-024-0021-3

Abstract

Perennial grass-legume mixtures have been extensively used to restore degraded grasslands, increasing grassland productivity and forage quality. Tillage is crucial for seedbed preparation and sustainable weed management for the establishment of grass-legume mixtures. However, a common concern is that intensive tillage may alter soil characteristics, leading to losses in soil organic carbon (SOC). We investigated the plant community composition, SOC, soil microbial biomass carbon (MBC), soil enzyme activities, and soil properties in long-term perennial grass-legume mixtures under two different tillage intensities (once and twice) as well as in a fenced grassland (FG). The establishment of grass-legume mixtures increased plant species diversity and plant community coverage, compared with FG. Compared with once tilled grassland (OTG), twice tilled grassland (TTG) enhanced the coverage of high-quality leguminous forage species by 380.3%. Grass-legume mixtures with historical tillage decreased SOC and dissolved organic carbon (DOC) concentrations, whereas soil MBC concentrations in OTG and TTG increased by 16.0% and 16.4%, respectively, compared with FG. TTG significantly decreased the activity of N-acetyl-β-D-glucosaminidase (NAG) by 72.3%, whereas soil enzyme β-glucosidase (βG) in OTG and TTG increased by 55.9% and 27.3%, respectively, compared with FG. Correlation analysis indicated a close association of the increase in MBC and βG activities with the rapid decline in SOC. This result suggested that MBC was a key driving factor in soil carbon storage dynamics, potentially accelerating soil carbon cycling and facilitating biogeochemical cycling. The establishment of grass-legume mixtures effectively improves forage quality and boosts plant diversity, thereby facilitating the restoration of degraded grasslands. Although tillage assists in establishing legume-grass mixtures by controlling weeds, it accelerates microbial activity and organic carbon decomposition. Our findings provide a foundation for understanding the process and effectiveness of restoration management in degraded grasslands.

1 Introduction

About 50.0% of the world's grasslands, and 90.0% of those in China, have been degraded. Nearly 80.0% of these grasslands located in arid and semi-arid areas (NBSC, 2009). This degradation resulted in significant issues such as sand storms and desertification (Unkovich and Nan, 2008), severely affecting grassland ecological security and animal husbandry (Zhou et al., 2019a; Bai and Cotrufo, 2022; Buisson et al., 2022). The establishment of perennial grass-legume mixtures is widely used to improve degraded grasslands (Zhou et al., 2019a; Sun et al., 2023), as this approach typically enhances grassland productivity and forage quality (Montagnini, 2008; Kumari and Maiti, 2019; Yan et al., 2022) and provides greater soil nitrogen (N) levels through biological N fixation (Ledgard, 2001; Schipanski and Drinkwater, 2012).
Tillage is commonly performed in forage system seedbed preparation (Lemaire et al., 2015; Weißhuhn et al., 2017). It can promote plant diversity in grasslands over time as well as the heterogeneity of ecological niches and food web responses in the soil ecosystem (Kladivko, 2001; Murphy et al., 2006). Tillage is regarded as an effective weed management practice (Hurisso et al., 2013; MacLaren et al., 2021). For example, it decreases the proportion of weeds by destroying soil seed bank (Haring and Flessner, 2018), thereby reducing perennial weed seedling emergence and survival (Chauhan and Johnson, 2009; Gruber and Claupein, 2009; MacLaren et al., 2020). However, commonly cited concerns are the alteration of soil characteristics, and the loss of soil organic carbon (SOC) (Ding et al., 2011; Parajuli et al., 2021).
The impact of soil disturbance on SOC accumulation is still debated (Feng et al., 2020; Bhattacharyya et al., 2021). SOC primarily originates from plant residue and root exudates, influenced by environmental and management factors (Kumar et al., 2006). Soil compaction hinders plant root growth, thus limiting resource uptake (Shah et al., 2017). Soil disturbance, however, loosens the soil and reduces compaction. The extent and frequency of disturbance affect SOC accumulation by influencing plant productivity (Feng et al., 2020). In arid areas, deep tillage can increase SOC mainly by burying plant residue (Alcántara et al., 2016), but it may also lead to nutrient imbalances by disrupting the stable litter layer, potentially releasing more organic matter into the atmosphere (Hu et al., 2015; Ayuke et al., 2019).
Soil processes are greatly affected by microbes (Ding et al., 2011; Orrù et al., 2021). In grassland ecosystem, soil microbial biomass plays a vital role. It influences the turnover of SOC and nutrient cycling and serves as a source of available nutrients for plants (Kara and Bolat, 2008; Stephanou et al., 2021; Wu et al., 2021). Plants, through processes such as root exudation, supply a significant portion of the carbon resources that sustain soil microbial communities (Jangid et al., 2011). Previous studies have demonstrated that soil disturbance can significantly alter vegetation and soil habitats, driving microbial community shifts (Balota et al., 2004; Jangid et al., 2011; Li et al., 2018a). Tillage can considerably change soil food webs and soil microbial activities by altering above- and below-ground inputs, soil properties, and litter quantity and quality (Govaerts et al., 2007; Jiang et al., 2011; Yu et al., 2020). For instance, tillage disrupts the protection of SOC and aerates the soil, thereby enhancing the availability of substrates and stimulating microbial activity (Govaerts et al., 2007). Previous research indicates that grass-legume mixtures have a relatively minor impact on soil microbial biomass carbon (MBC) (Zong et al., 2023). In contrast to the frequent application of tillage in agricultural ecosystems, the establishment of grass-legume mixtures involves only one or two tillage operations during the initial sowing stage to facilitate seedling emergence. Although several studies have investigated the influences of tillage and other management methods on MBC and soil microbial biomass nitrogen (MBN) in annual agroecosystems, it remains unclear how grassland ecosystems, with their distinct structural and ecological dynamics, respond to tilling.
Soil enzyme activity is a critical determinant associated with nutrient cycling as it facilitates the decomposition of organic matter and litter in the soil (Xu et al., 2017; Qiu et al., 2023). It is directly associated with soil microbial biomass and nutrient dynamics (Cenini et al., 2016; Xu et al., 2017; Li et al., 2018b). The biochemical properties of enzymes and their secretion can be impacted by soil chemical properties, which can ultimately affect the balance between microbial nutrient demands and soil nutrient availability (Zhao et al., 2018). Grassland management practices such as fencing and tillage alter enzyme activities by influencing soil substrates accessibility and enzyme concentrations (Zhang et al., 2014). Compared with fenced grassland, the increased soil N resulting from the decomposition of legume residues in grass-legume mixtures might stimulate microbial growth and the production of extracellular enzymes. This could trigger a priming effect, leading to more localized carbon (C) and N losses (Ramirez et al., 2010). Enzymes involved in C and N cycling were reported to decrease following conventional tillage in croplands (Zuber and Villamil, 2016; Vazquez et al., 2019; Parajuli et al., 2021), although this was not the case in all studies (Babujia et al., 2010). The variation in the impacts of tillage depends on the regional climate and soil characteristics (Gianfreda and Ruggiero, 2006). Since tillage is commonly employed to establish grass-legume mixtures in semi-arid and semi-humid areas, determining the link between plant species composition, microbial biomass, and soil enzyme activity will enhance our understanding of the mechanisms involved in biogeochemical cycling associated with typical grassland restoration practices.
Thus, we investigated how plant species composition, soil enzyme activity, soil microbial biomass, and SOC respond to tillage during the establishment of perennial grass-legume mixtures. We hypothesized that: (1) grass-legume mixtures with historical tillage practices would increase plant coverage, plant community diversity, and the proportions of seeded grasses and legumes, while decreasing the proportion of forbs, compared with fenced grassland (FG); and (2) historical tillage would promote soil microbial activity, and C cycling and N cycling enzyme activities, thereby accelerating organic C decomposition in grass-legume mixtures.

2 Materials and methods

2.1 Study area

The study area is located in the Xundian County, Southwest China (25°36′42′′N, 103°13′38′′E; 2040 m a.s.l.). The study area features a low latitude plateau monsoon climate with annual mean temperature of 14°C. The dry season runs from November to April, with a clear division between dry and rainy seasons. The average precipitation during the dry season is 160 mm. The annual evapotranspiration is 2034 mm. Ci and Wu (1997) classified the study area as the sub-humid area prone to drought according to the United Nations Convention to Combat Desertification. The soil is red loam with a high clay content. The study area has previously been used for forage production and grazing without nutrient addition for approximate 30 a, which has resulted in severe degradation in grassland. The dominant native species in this area were Imperata cylindrica (L.) P. Beauv. (Gramineae), Artemisia dubia Wall. ex Besser subf. intermedia Pamp. (Compositae), Vicia sativa L. (Leguminous), Bidens pilosa L. (Compositae), Dichondra micrantha Urb. (Convolvulaceae), and Hypochaeris ciliata (Thunb.) Makino (Compositae).
In this study, we selected three 100 m×100 m sites, representing fenced grassland (FG), once tilled grassland (OTG), and twice tilled grassland (TTG). For the OTG, grass-legume mixtures were established with one tillage event at seeding, with Dactylis glomerata L., Lolium perenne L., and Trifolium repens L. at a ratio of 2:1:1 in June 2015. D. glomerata was seeded with the density of 15.0 kg/hm2, whereas L. perenne and T. repens were seeded with the density of 7.5 kg/hm2. For TTG, the fields were tilled at seeding and two times when used as a pea/silage corn rotation system for 2 a (2013 and 2014) prior to the establishment of grass-legume mixtures in June 2015. This pre-seeding practice primarily ensures weed control. For tillage in both OTG and TTG, the soil was ploughed to a depth of 20 cm using a moldboard plough, followed by seedbed preparation with a disc harrow and a flexible harrow. We applied fertilizers in OTG and TTG (N:P (phosphorous):K (potassium)=2:5:1) according to local agronomic recommendations.

2.2 Sampling and analysis

When selecting different study sites, we ensured the homogeneity of these sites in elevation and slope. At each site, we established three sampling plots (10 m×10 m), with each plot containing three random quadrats (50 cm×50 cm) in November 2020. Quadrat was positioned at least 20 m away from the edges to mitigate edge effects. In each quadrat, plant species were determined and counted, and their aerial cover was visually assessed (Jiang et al., 2017). Shannon-Wiener diversity index was calculated as:
Shannon-Wiener index=$\sum\limits_{{{_{i}}_{=\text{1}}}}^{^{S}}{{{\text{P}}_{i}}\text{ln}{{P}_{i}}}, $
where Pi is the relative coverage of species i; and S is the number of species (Sun et al., 2021). The plants were categorized into three functional groups based on their characteristics: grasses, legumes, and non-N2-fixing forbs (hereafter forbs). Table 1 shows information on the main plant species in these grassland sites.
Table 1 Plant species of fenced grassland (FG), once tilled grassland (OTG), and twice tilled grassland (TTG)
Type of grassland Plant species Family Relative abundance (%)
FG Imperata cylindrica (L.) P. Beauv. Gramineae 73.59±4.42
Eragrostis ferruginea (Thunb.) P. Beauv. Gramineae 2.56±0.00
Artemisia dubia Wall. ex Besser subf. intermedia Pamp. Compositae 8.21±2.10
Galium aparine L. Rubiaceae 7.80±2.20
Aster indicus L. Compositae 1.97±1.33
Duchesnea indica (Andrews) Focke Rosaceae 2.83±0.00
Elsholtzia ciliata (Thunb.) Hyl. Lamiaceae 4.64±0.00
Lonicera japonica Thunb. Caprifoliaceae 1.11±0.00
Potentilla chinensis Ser. Rosaceae 1.15±0.00
Origanum vulgare L. Lamiaceae 5.00±0.00
Dichondra micrantha Urb. Convolvulaceae 1.23±0.00
Dactylis glomerata L. Gramineae 1.11±0.00
Trifolium repens L. Leguminosae 1.23±0.00
OTG Dactylis glomerata L. Gramineae 44.60±9.62
Trifolium repens L. Leguminosae 6.58±3.00
Lolium perenne L. Gramineae 3.59±0.62
Cynodon dactylon (L.) Persoon Gramineae 6.30±6.10
Vicia Sativa L. Leguminosae 0.46±0.24
Artemisia dubia Wall. ex Besser subf. intermedia Pamp. Compositae 12.09±1.69
Lonicera japonica Thunb. Caprifoliaceae 2.25±1.21
Dichondra micrantha Urb. Convolvulaceae 9.97±7.93
Eleusine indica (L.) Gaertn. Gramineae 5.74±0.00
Clinopodium chinense (Benth.) Kuntze Lamiaceae 2.87±0.00
Bidens pilosa L. Compositae 1.26±0.00
Hypochaeris ciliata (Thunb.) Makino Compositae 9.02±0.00
Plantago asiatica L. Plantaginaceae 1.23±0.00
Aster indicus L. Compositae 0.92±0.00
TTG Dactylis glomerata L. Gramineae 37.45±7.08
Trifolium repens L. Leguminosae 28.45±8.80
Lolium perenne L. Gramineae 2.32±0.00
Cynodon dactylon (L.) Persoon Gramineae 4.62±2.76
Vicia Sativa L. Leguminosae 5.35±0.39
Sporobolus fertilis (Steud.) Clayton Gramineae 4.39±0.00
Imperata cylindrica (L.) P. Beauv. Gramineae 7.71±2.51
Artemisia dubia Wall. ex Besser subf. intermedia Pamp. Compositae 5.30±2.66
Lonicera japonica Thunb. Caprifoliaceae 3.97±0.00
Dichondra micrantha Urb. Convolvulaceae 1.59±0.09
Hypochaeris ciliata (Thunb.) Makino Compositae 1.15±0.00
Rumex acetosa L. Polygonaceae 3.84±2.14
Aster indicus L. Compositae 1.15±0.00
Potentilla chinensis Ser. Rosaceae 1.72±0.00
Elsholtzia ciliata (Thunb.) Hyl. Lamiaceae 1.75±0.00
Artemisia argyi H. Lév. & Vaniot Compositae 0.62±0.00

Note: Mean±SE.

At each grassland site, we collected 3 soil cores with a diameter of 4.5 cm from each of the three sampling plots, totaling 9 soil cores per site. These soil samples were combined for reducing errors from soil heterogeneity (Hoshino et al., 2009; Veres et al., 2015; Yang et al., 2019). The soil samples were processed by passing them through a 2-mm mesh sieve, which removed unwanted debris, litter, and stones. Next, the samples were separated into two sub-samples. One of the sub-samples was air-dried at a temperature of 25°C (±5°C) for conducting physical-chemical analysis of the soil, while a portion of the other sub-sample was immediately tested for soil MBC and MBN, and another part was stored at a temperature of -20°C for measuring dissolved nutrients.
Soil pH was determined using a glass electrode in a soil-to-water ratio of 1.0:2.5 (Dong et al., 2022b). Ammonium (NH4+-N) and nitrate (NO3--N) were extracted from fresh soil using 2 M KCl and analyzed by an ultraviolet visible spectrophotometer (UV-1800PC, MAPADA Instrument Co., LTD., Shanghai, China) (Sorrenti et al., 2016). The Walkley and Black potassium dichromate oxidation method was employed to measure SOC (Walkley and Black, 1934), and the Dumas combustion method was employed for the analysis of soil total nitrogen (TN) concentration. An elemental analyzer (Elementar Vario EL III, Elementar, Hanau, Germany) was used to perform this analysis (Jones, 2001). Soil MBC and MBN contents were obtained by chloroform fumigation extraction (Brookes et al., 1985). Total 20 g fresh soil samples were fumigated in the dark with ethanol-free chloroform in a vacuum dryer for 24 h. Then, the fumigated and non-fumigated samples were extracted using 0.5 M K2SO4 for 1 h (Jones and Willett, 2006) and passed through a 0.45-μm membrane. The total dissolved nitrogen (TDN) and dissolved organic carbon (DOC) in both non-fumigated and fumigated soils were determined using the Multi N/C 3100® analyzer (Analytik Jena, Jena, Germany) (Brookes et al., 1985). The amounts of soil MBC and MBN were counted as the gap between organic C and N from fumigated and unfumigated soil. Microbial biomass recovery of C and N was further adjusted by the factors of 0.45 and 0.54, respectively (Wu et al., 1990).
The methods described by Gamalero et al. (2003) and Dick et al. (2013) were used to estimate the activities of β-glucosidase (βG) and N-acetyl-β-D-glucosaminidase (NAG), respectively. Briefly, air-dried soil was incubated at 37°C for 1 h, and absorbance at 400 nm was determined via an enzyme labeling instrument (SpectraMax 190, Molecular Devices Co., Ltd., San Francisco, USA). Air-dried soil was utilized for measuring soil enzyme activity. This method reduces the influence of soil moisture on enzyme activity calculations compared with fresh soil, thereby enabling more precise quantification. Previous research also indicates that the air-drying pretreatment of soil has an insignificant effect on enzyme activity, compared with fresh soil (Zornoza et al., 2006). Both βG (C cycling) and NAG (N cycling) enzymes are frequently used to indicate the microbial nutrient demand, and their potential activities are associated with microbial metabolism and biogeochemical processes (Peng and Wang, 2016; Zhao et al., 2018).

2.3 Statistical analysis

For all response variables, the Shapiro-Wilks test was used to verify normally distributed residuals.
And if necessary, square root transformation was implemented. The collected data from FG and grass-legume mixture site was subjected to statistical analysis using one-way analysis of variance (ANOVA), followed by Duncan's multiple range tests with a significance level of P<0.05. Paired t tests were used to compare differences between OTG and TTG in SPSS v.27.0. To gain a better understanding of the relationship between redundant information within the dataset and the characteristics of plants and soil, we applied redundancy analysis (RDA) in Canoco v.5.0. Correlations were determined using Pearson's correlations with heatmap. All figures were generated via Origin v.2023.

3 Results

3.1 Changes in plant community composition

Establishing grass-legume mixtures increased plant community diversity and coverage. Plant diversity increased 63.3% and 70.9% in OTG and TTG, respectively, compared with FG). In addition, the total plant coverage was significantly increased in grass-legume mixtures compared with FG. Compared with OTG, TTG increased the relative coverage of legumes by 380.3%, but significantly decreased the relative coverage of forbs by 61.2% in plant communities (Fig. 1).
Fig. 1 Total plant coverage (a), Shannon-Wiener index (b), and relative coverages of grasses (c), legumes (d), and forbs (e) under different grassland treatments. FG, fenced grassland; OTG, once tilled grassland; TTG, twice tilled grassland. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors. The abbreviations are the same as in the following figures.

3.2 MBC, MBN, and enzyme activity

The establishment of grass-legume mixtures promotes the activity of soil microbes in soil C cycling. Soil MBC concentrations in OTG and TTG increased by 16.0% and 16.4%, respectively, compared with FG. The ratio of MBC:MBN was greater in tilled grass-legume mixtures than in FG, whereas the soil MBN concentrations were higher in FG than in grass-legume mixtures (Fig. 2). The tillage treatments showed a significantly increased ratio of MBC:SOC but a decreased ratio of MBN:TN, compared with FG (Fig. 3). Compared with FG, TTG significantly decreased the activity of NAG by 72.3%, whereas βG in OTG and TTG increased by 55.9% and 27.3%, respectively, compared with FG (Fig. 4).
Fig. 2 Concentrations of MBC and MBN (a) and MBC:MBN ratio (b) under different grassland treatments. MBC, microbial biomass carbon; MBN, microbial biomass nitrogen. Different uppercase or lowercase letters within the same parameter indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 3 Concentration of TN (a), MBC:SOC ratio (b), and MBN:TN ratio (c) under different grassland treatments. TN, total nitrogen; SOC, soil organic carbon. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 4 Variation in soil enzyme activity under different grassland treatments. NAG, N-acetyl-β-D-glucosaminidase; βG, β-glucosidase. Different uppercase or lowercase letters within the same parameter indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.

3.3 Soil properties

Figure 5 shows the N contents under different grassland treatments. Compared with FG, NO3--N availability was significantly greater in both OTG and TTG (Fig. 5b). However, compared with FG, soil NH4+-N availability significantly decreased in OTG and TTG (Fig. 5a). Compared with FG, tillage treatments significantly decreased soil pH (Fig. 5c). Compared with FG, SOC in OTG and TTG decreased by 18.7% and 25.8%, respectively, and soil DOC decreased by 27.2% and 31.0%, respectively (Fig. 6). Whereas the greatest TDN storage level was recorded in TTG (Fig. 5d). However, no significant differences in the concentration of TN were detected between tilled grass-legume mixtures and FG (Fig. 3a).
Fig. 5 Concentrations of soil ammonium (NH4+-N; a), nitrate (NO3--N; b), pH (c), and TDN (d) under different grassland treatments. TDN, total dissolved nitrogen. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.
Fig. 6 Concentrations of DOC (a) and SOC (b) under different grassland treatments. DOC, dissolved organic carbon. Different lowercase letters indicate significant differences among different treatments at P<0.05 level. Bars are standard errors.

3.4 Correlation analysis

In the RDA, two axes explained 64.6% of the total variance (Fig. 7). Tilled grass-legume mixtures (OTG and TTG) were significantly different from FG, with a greater coverage of legumes, along with higher levels of MBC, NO3--N, plant diversity, and βG activity, a lower grasses coverage, and decreased levels of soil pH, MBN, SOC, DOC, NH4+-N, and NAG activity. MBC concentrations were positively correlated with plant diversity and βG activity, but negatively correlated with NH4+-N availability, SOC, and DOC (Fig. 8). SOC were negatively correlated with MBC concentrations and βG activity. MBN concentrations were positively correlated with NH4+-N, SOC, DOC, and NAG activity.
Fig. 7 Redundancy analysis (RDA) of plant composition, soil microbial biomass, soil properties, and soil enzyme activity. Red arrows indicate soil factors, and blue arrows indicate plant characteristics.
Fig. 8 Heatmap of the correlation of plant community, soil microbial biomass, soil property, and enzyme activity. *, P<0.05 level.

4 Discussion

4.1 Variation in plant community composition

Our findings support our hypothesis that compared with FG, the establishment of grass-legume mixtures promotes plant coverage and plant community diversity, consequently improving degraded grasslands. In TTG, we observed a higher proportion of legumes and a decreased proportion of forbs, compared with OTG. This is mainly attributed to the disruptive effects of intensive tillage on the asexual reproductive structures and seed bank of native weedy grasses present in the soil (Haring and Flessner, 2018). Our results showed that establishing grass-legume mixtures increases soil N availability, creating favorable conditions for neighboring plant species and thereby enhancing plant diversity. A study conducted in arid areas on grass-legume mixtures also confirmed this finding (Sun et al., 2023). Tillage effectively creates ecological niches for seeded plant species, reducing competitive exclusion from dominant species and resulting in greater species diversity in tilled grasslands. Moreover, we noted a notable decline in the proportion of grasses within grass-legume mixtures, compared with FG. This decline was mainly attributed to the dominance of the native grass species, I. cylindrica, characterized by spiky and irritating leaves and having poor nutritional content, making it unpalatable for livestock (Katoch, 2022). As an alternative to N fertilization, establishing grass-legume mixtures in degraded grasslands, coupled with appropriate management strategies, can be an effective and practical restoration method that enhances grassland productivity while preserving plant species diversity. Our findings provide a foundation for restoration management in degraded grasslands. Implementing grass-legume mixtures can rehabilitate degraded grasslands by increasing the coverage of highly palatable and high-quality forage.

4.2 Variations in SOC, enzyme activity, and microbial biomass

Although the use of tillage during the establishment of grass-legume mixtures facilitated legume stability and weed management, tilled grasslands had significant lower SOC and DOC compared with non-tilled areas. Contrary to the findings of two studies conducted in semi-arid areas (Li et al., 2016; Singh et al., 2023), our research indicates that the establishment of grass-legume mixtures does not benefit SOC storage. We believe this negative result is due to the increased βG enzyme activity and MBC. The decomposition of legume residues adds N to the soil, which can boost microbial growth and the creation of extracellular enzymes. This process may activate a priming effect, causing increased C and N losses in specific areas (Ramirez et al., 2010). RDA results indicate that in grass-legume mixtures, the rise in soil N availability increases the activity of βG. The positive correlation between βG and MBC suggests that greater enzyme activity accelerates soil C mineralization, resulting in the loss of SOC. Soil microbial organisms play a crucial role in maintaining soil ecosystem services. The activity of soil microbial communities regulates nutrient turnover, transport, and the rate of decomposition of SOC (Tarafdar, 2022). Our results showed that tillage breaks apart SOC protection and aerates soil, increasing the availability of substrates that boost microbial activity and raise the proportion of MBC in SOC. The close association between the increase in MBC and the rapid decline in SOC suggests that MBC is a key driver of C storage potential variation in soil (Dong et al., 2022a). Another study in southwest China discovered a link between total soil MBC and SOC decomposition (Piao et al., 2001). Soil microorganisms can efficiently use lower C stocks and promote soil C mineralization in grasslands that were established with moderate tillage. In addition, tillage often results in a decreased nutrient availability and a rapid decomposition of SOC (Zhang et al., 2018; Parajuli et al., 2021). Tillage disrupts soil aggregates, exposing organic matter that was previously protected, and enhances microbial respiration, thus further accelerating the loss of soil organic matter (Thapa et al., 2023). Previous research has indicated that soil nutrients can influence soil microbial biomass and activity (Sistla et al., 2012). Higher soil TDN concentrations in grass-legume mixtures with more frequent historical tillage suggest that leguminous plants within the mixture increase soil TDN by fixing N in their root nodules (Becana and Sprent, 1987). Higher levels of soil N can enhance microbial activity and accelerate the decomposition of organic matter, leading to lower levels of SOC (Sistla et al., 2012). Additionally, we found that grass-legume mixtures significantly reduced soil pH and increased the concentration of NH4+-N in the soil. And there was a significant negative correlation between MBC and soil NH4+-N, SOC, and soil DOC. N fixation by legumes induces soil acidification, shifting the plant's preference for absorbing inorganic N forms towards favoring NH4+ (Li et al., 2013b). This disturbs the NH4+ and NO3- balance in the soil, causing a decline in soil NH4+. Previous research has shown that an increase in soil NH4+-N availability has been shown to inhibit soil microorganism activity and reduce soil MBC (Li et al., 2013a). Hence, reduced NH4+ levels in grass-legume mixtures foster MBC accumulation. This could also be a contributing factor to the loss of SOC.
Our results also revealed significant correlations between changes in plant diversity with MBC, βG enzyme activity, and soil MBN. Indeed, a greater microbial biomass is associated with species-rich plant communities (Chen et al., 2019). Our findings support the proposed positive relationships between plant communities and MBC (Eskelinen et al., 2009; Grigulis et al., 2013; Chen et al., 2019; Song et al., 2019; Moreno et al., 2021). Nutrient uptake, litter inputs, root turnover, and root exudates from diverse plant species can alter soil food web community structure, microbial abundances, and soil decomposition processes (Bing et al., 2016). According to the results of a meta-analysis across global terrestrial ecosystems, plant species mixtures typically increase the fungal to bacterial biomass ratio, soil respiration, and soil microbial biomass levels (Chen et al., 2019). We propose that the positive impacts of increased plant diversity on MBC and βG enzyme activity are primarily due to the diverse composition of plant communities in grass-legume mixtures (Tabel 1), which offers a favorable habitat for microorganism proliferation (Jangid et al., 2011; Li et al., 2012; Zhou et al., 2019b; Lama et al., 2020).
MBN content and NAG activity in tilled areas were lower than those in non-tillage grassland. According to Wutzler et al. (2017), resource heterogeneity results in variations in extracellular enzyme activity of the soil, influencing the patterns of C and N distribution in different grasslands. Our findings indicate positive correlations among MBN, SOC and DOC contens, and NAG activity. Soil decomposers may produce more N-acquiring enzymes to access available resources when soil C is abundant (Tiemann et al., 2015). The changes in βG and NAG enzyme activities caused by this resource heterogeneity can be explained by resource allocation theory (Xiao et al., 2018). Compared with grass-legume mixtures, low N availability in fenced grasslands prompts soil microbes to secrete NAG and to decompose organic matter, thus obtaining N (Craine et al., 2007). The significant increase in MBN in fenced grasslands also supports this.
Conversion of native prairie land for forage production has led to significant loss and redistribution of SOC, resulting in declining soil fertility in low-productivity semi-arid agroecosystems (Zhang et al., 2018; Parajuli et al., 2021). Our study indicates that moderate tillage can support legume establishment and increase soil nitrogen, although the associated soil disturbance enhances microbial activity and organic matter decomposition. As Hurisso et al. (2013) reported, grass-legume mixtures have substantial SOC storage potential compared with no-till wheat-fallow practices in semi-arid soils. Therefore, it is essential to continuously investigate the impact of tillage-established legume-grass mixtures on SOC storage and the mechanisms behind carbonate formation in these low-input semi-arid grasslands.

5 Conclusions

Restoration of degraded grassland and improvement of C sequestration capacity are hot topics worldwide, especially in arid and semi-arid areas. The establishment of grass-legume mixtures promotes the coverage and diversity of grassland plant communities. Tilling during seedbed preparation further enhances the dominance of high-quality legume species, but reduces forb coverage. Grass-legume mixtures with a history of tillage showed increased activity of βG and levels of soil MBC, indicating that a higher legume proportion and N availability accelerate microbial activity and organic matter decomposition, promoting soil biogeochemical cycling. Tillage reduced SOC and DOC concentrations. Therefore, our study demonstrates that establishing legume-grass mixtures can effectively improve forage quality and enhance plant diversity, leading to the restoration of degraded grasslands. Tillage during the initial establishment of legume-grass mixtures can decrease weed competition and aid in mixture establishment, however, tillage promotes the rapid decomposition of SOC, which is detrimental to preserving soil organic C sustainability. In summary, using a grass-legume mixture can help restore degraded grasslands, and moderate tillage during the establishment of the mixture aids in successful establishment. Continuous monitoring of SOC content and adaptive management practices are crucial when employing tillage in low-input semi-arid grasslands. Our research provides a theoretical basis for understanding the process and effectiveness of restoration management in degraded grasslands.

Conflict 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.

Acknowledgements

This work was funded by the National Natural Science Foundation of China (32271776, 32171616), the Special Sichuan Postdoctoral Research Projects, and the National Natural Science Foundation of Sichuan Province, China (2024NSFSC0309, 2022NSFSC1769, 2022NSFSC0110). We thank Prof. YANG Gaowen from China Agricultural University for his valuable advice on manuscript improvement.

Author contributions

Conceptualization: ZHOU Jiqiong, GONG Jinchao, LIU Lin; Methodology: ZHOU Jiqiong, GONG Jinchao, ZHANG Xinquan, LIU Lin; Investigation: ZHOU Jiqiong, GONG Jinchao, WANG Pengsen, SU Yingying, LI Xuxu, LI Xiangjun, WANG Wen; Data curation: ZHOU Jiqiong, GONG Jinchao, SU Yingying, MA Congyu; Writing - original draft preparation: ZHOU Jiqiong; Visualization: GONG Jinchao; Writing - review and editing: GONG Jinchao, WANG Pengsen, BAI Yanfu, HUANG Ting, YAN Yanhong, LIU Lin; Funding acquisition: ZHOU Jiqiong, MA Congyu, HUANG Ting, LIU Lin. All authors approved the manuscript.
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