Introduction

Moso bamboo (Phyllostachys pubescens) is the most widely distributed bamboo species in China, covering an area of ~ 3 million ha (Fu 2001). Moso bamboo is considered a “tree grass,” with large woody stems that can exceed 20 m (Xu et al. 2020). P. pubescens belongs to a group of running bamboo plants that have the capacity for rapid invasion into neighboring forests. Invasions by Moso bamboo trigger a series of ecological problems, including decreasing plant biodiversity (Bai et al. 2016), degradation of soil conservation function (Xu et al. 2020), and altering soil nutrients and microbial communities (Li et al. 2017; Liu et al. 2019).

Microorganisms are one of the most important components of soil, which brings soil to life. For forest ecosystems, soil microorganisms transfer the organic matter into inorganic substances (e.g. nitrogen) and provide nutrients for plants, which are the driving force of biogeochemical nutrient cycling and the bridge linking above-ground and below-ground ecosystem interactions (Chu and Zhu 2019; Fry et al. 2019). Soil microorganisms contribute to major soil respiration processes and are therefore recognized as strong determinants of soil carbon storage and cycling (Guo et al. 2016; Whitaker et al. 2014). Consequently, there has been considerable attention about how soil microorganisms are influenced by plant invasion and vegetation change (Collins et al. 2020; Inderjit and van der Putten 2010). Previous studies showed that there is a significant difference of soil microbial community composition between Moso bamboo forest and invaded forest (e.g., broadleaf forest) (Fang et al. 2022; Liu et al. 2019; Wang et al. 2016). However, we still lack a mechanistic understanding of how this process occurs; decomposition differences associated with leaf litter subsidies from these different forest types may be one of the driving factors affecting the microbial community (Prescott and Zukswert 2016).

Leaf litter quality is a key factor controlling litter decomposition. In general, leaf litter with low concentrations of recalcitrant compounds (e.g., lignin, tannins) represents high-quality litter, but other factors are also important to consider, such as C:N ratios and nutrient concentrations (Bradford et al. 2016). Usually, the litter quality of invasive plants is higher than that of native plants (Lee et al. 2017), leading to faster decay rates compared to native plants (Prescott and Zukswert 2016). Previous studies found that leaf litter lignin content of Moso bamboo was usually lower than that of neighboring native dominant species in subtropical broadleaf and artificial coniferous forests (Song et al. 2016; Tian et al. 2020), suggesting that leaf litter of Moso bamboo is of higher quality than litter from native plants. Therefore, we hypothesized that after Moso bamboo invasion its leaf litter decay would occur faster than litter decay of native plant species (Hypothesis 1).

Findings from a meta-analysis suggested that plant invasion significantly increased the biomass and abundance of soil microorganisms (Zhang et al. 2019). Litter species with different chemical compositions often show distinct quality and decomposability properties, namely species-specific decomposition (Gartner and Cardon 2004; Liu et al. 2020). Litter decomposition provides the energy and food sources for soil microorganisms (Moore et al. 2004); thus, litter species compositional changes should cause variation in soil microorganism abundances and assemblages. The expansion of Moso bamboo to the surrounding forest is a gradual process. New bamboo shoots constantly encroach upon native forests, bringing new bamboo leaf litter in the process. New bamboo leaf litter is relatively high in quality (low lignin) compared to native plants (Song et al. 2016). If Hypothesis 1 is supported, new bamboo leaf litter will bring more nutrients (e.g., nitrogen) via decomposition. Therefore, we hypothesized that new bamboo leaf litter inputs would increase the species richness and abundance of soil microorganisms (i.e., bacteria and fungi) in invaded native forests (Hypothesis 2).

Forest soil provides a good habitat for bacteria and fungi. For most soils, phyla Proteobacteria, Actinobacteria, and Acidobacteria are the most common bacteria (Lladó et al. 2017), and phyla Ascomycota and Basidiomycota are the most common fungi (Li et al. 2022). Soil microorganisms have some preference in terms of carbon sources. For example, phyla Proteobacteria prefer soluble carbon and utilize the easily decomposed compounds in litter (Schroeter et al. 2022), while phyla Basidiomycota tend to use recalcitrant litter compounds (Dong et al. 2021). Generally, high quality litter of invasive plants generate more available C and other resources for soil biota than native plant species (Prescott and Zukswert 2016), which can lead to more abundant decomposers and support a more biodiverse soil community (Zhang et al. 2019). Compared to native plants, high quality, rapidly decomposing Moso bamboo leaf litter will supply a high-quality carbon source to microbes, which vary in their usage of carbon sources, as indicated above. Therefore, we hypothesized that Moso bamboo leaf litter inputs into invaded native forests would favor the growth of bacteria, changing the associated soil microbial community composition (Hypothesis 3).

In the Jinggangshan Nature Reserve in southern China, due to the exclusion of bamboo management, Moso bamboo expansion is more rampant than in other protected areas, and this invasion seriously disturbs the development of native forests (Fang et al. 2022). In this study, we selected three frequently invaded native forests—evergreen broad-leaf forest, Chinese fir (Cunninghamia lanceolata) forest, and Cryptomeria japonica var. sinensis forest—as study areas in the Jinggangshan Nature Reserve in the Jiangxi province. We tested Hypothesis 1 through the comparison of leaf litter decomposition between Moso bamboo and the three native forest types; we tested Hypothesis 2 by investigating bacterial and fungal richness and abundance of three native forest soil types after bamboo leaf litter input; we tested Hypothesis 3 via analysis of the composition of the soil bacterial and fungal assemblages of three native forest soils after bamboo leaf litter inputs.

Materials and methods

Study site

Our study area is located on the Jinggangshan Nature Reserve in Jiangxi province, which is characterized by a subtropical, humid climate with monsoonal activity (26°22’∼26°48’N, 114°05’∼114°23’E). Mean annual temperature and precipitation are 14.2 ºC and 1,865.2 mm, respectively (Deng et al. 2003; Zhu and Shangguan 2009). The climax community in this area is subtropical, evergreen and broad-leaf forest. Because of years of development, much of the subtropical, evergreen and broad-leaf forests have been replaced by bamboo forest, forming a large area of bamboo-broad-leaf mixed forest and pure bamboo forest. Based on data from a secondary forest resources inventory, Moso bamboo composes ~ 20% of total forests on the preserve with an area of 3849.3 hm2, which is increasing by ~ 1–3% yearly (Zhu and Shangguan 2009). Soil types in this area are similar across forest types and are composed of yellowish-red soil (J. Liu, personal observation) made up of soil types with high iron content (e.g., ultisols, alfisols, oxisols).

Experimental design

We collected fresh mixed broad-leaf litter (Machilus thunbergii, Daphniphyllum macropodum, and Alniphyllum fortune, BR), Moso bamboo leaf litter (MO), Chinese fir leaf litter (Cunninghamia lanceolata, CU), and Cryptomeria japonica var. sinensis (CR) leaf litter in evergreen-broad-leaf forest. Fresh litter was oven-dried to constant weight at 60 ℃. We placed 20 g dry litter into litter bags (0.125 mm mesh size, 15 cm × 15 cm) for conducting litter decomposition assays. After removing the surface litter, litter bags were fixed to the soil surface using steel spikes (sensu Hoyos-Santillan et al. 2018). Seven experimental treatments were established (Table 1). MO litter bags were placed in the BR, MO, CU, and CR forest stands, and BR, CU, and CR litter bags were placed in BR, CU, and CR forest stands, respectively.

Table 1 Experimental design and leaf litter treatments

Sampling design

The experiment started on March 2016 and lasted for 3 years. We collected five litter bags of each treatment for mass loss, assessed at 120, 240, 360, 480, 600, 720, and 840 days of decomposition. The decayed litter was cleaned by rinsing with deionized water and oven-drying to constant weight at 60 ℃ prior to weighing final litter mass. We also collected fresh surface soil (0–10 cm) under litter bags at 120, 480, and 840 days. These soils were preserved at -80 ℃ and subsequently used for high-throughput sequencing analysis.

Litter chemical analyses

Prior to chemical analyses, initial litter from each species was ground into a fine powder using a ball mill (JX-2010, Shanghai, China). C and N concentrations of litter were measured using an elemental analyzer (Flash HT 2000, Thermo Fisher Scientific). The molybdenum antimony method was used to analyze litter P concentrations (Lu 2000). The concentration of lignin was assayed using HPLC (Sluiter et al. 2008). Briefly, 200 mg samples were extracted with ferrous ammonium sulfate hexahydrate and CuO, and then analyzed on a HPLC (Sciex).

DNA extraction and high-throughput sequencing analysis

Soil samples (n = 91) were used for sequencing analysis, including 21 soil samples (three replicates of each treatment) from days 120, 35 soil samples (five replicates of each treatment) from day 480, and 35 soil samples (five replicates of each treatment) from day 840. We used QIAGEN DNeasy PowerSoil kits (Qiagen, Germantown, MD, USA) to extract DNA from soil samples following the manufacturer’s protocol. All DNA extracts were dissolved in 100 ul TE buffer. NanoDrop was used to determine DNA concentrations, and then all the extracts were stored at -80 ℃.

The ITS1F (5’-CTTGGTCATTTAGAGGAAGTAA-3’) (Gardes and Bruns 1993) and ITS2 (5’-GCTGCGTTCTTCATCGATGC-3’) (White et al. 1990) primers were used to amplify fungi for day-120 samples for the ITS1 region, while ITS33-KYO2 (5’-GATGAAGAACGYAGYRAA-3’) (Toju et al. 2012) and ITS4 (5’-TCCTCCGCTTATTGATATGC-3’) (White et al. 1990) primer sets were used to amplify fungi for day-480 and day-840 samples for the ITS2 region. Similarly, the 515F (5’-GTGCCAGCMGCCGCGG-3’) and 907R (5’-CCGTCAATTCMTTTRAGTTT-3’) (Biddle et al. 2008) primers were used to amplify the V4–V5 region of bacteria for day-120 samples, while 341F (5’-CCTAYGGGRBGCASCAG-3’) and 806R (5’-GGACTACNNGGGTATCTAAT-3’) (Callahan et al. 2016) primers were selected for the V3-V4 region of bacteria for day-480 and day-840 days. It is important to note that different primer pairs between 2016 and 2017/2018 were used in this study; we annotated all OTUs initially, and then analyzed all data using relative abundances.

The primers we used target the Internal Transcribed Spacer (ITS) region, albeit at different sites within ITS. The ITS2 region is recognized for its higher level of genomic conservation compared to ITS1, making it capable of providing enhanced resolution and robustness. According to Toju et al. (2012), ITS4_KYO3 exhibited low coverage across non-Dikarya fungi (77.8%), whereas the remaining primers covered more than 90% of non-Dikarya taxa. Consequently, we adjusted the primer pair for subsequent sequencing to enhance the taxonomic coverage of the findings; specifically, we substituted the original primers, ITS1F / ITS2, with ITS3_KYO2 / ITS4 for the final two harvest dates because we wanted higher taxonomic resolution for these later time points, when we expected higher variability in our microbial patterns. Importantly, the aim of our study was to determine the impact of bamboo leaf litter additions on the microbial communities of three native forest soil types, and so we focused our quantitative comparisons on the treatment effects within a time point and only qualitatively compared temporal patterns.

The PCR products were purified using the GeneJET RNA Purification Kit (Thermo Scientific) and quantified with a QuantiFluorTM-ST Fluorometer Instrument (Promega, Madison, WI, USA). Sequencing libraries were then prepared using the PCR products with Illumina TruSeq DNA sample Prep kits (Illumina, San Diego, CA, United States). DNA was sequenced by the Gene Denovo Biotechnology Co., Ltd. (Guangzhou, China) using the Illumina HiSeq2500 (PE250) platform.

Bioinformatic analysis

Clean paired-end reads were merged into raw tags using FLSAH v1.2.11 (Magoč and Salzberg 2011). The merging process required a minimum overlap of 10 bp and allowed for a mismatch error rate of 2%. Subsequently, the QIIME V1.9.1 (Caporaso et al. 2010) pipeline was employed to filter out noisy sequences from raw tags, following specific filtering conditions (Bokulich et al. 2013), resulting in the acquisition of high-quality clean tags. Then, the UCHIME algorithm (http://www.drive5.com/usearch/manual/uchime_algo.html) was employed to remove all chimeric tags, resulting in the acquisition of effective tags for subsequent analysis. The effective tags were clustered into operational taxonomic units (OTUs) with a similarity threshold of ≥ 97% using the UPARSE pipeline (Edgar 2013). Within each cluster, the tag sequence with the highest abundance was selected as the representative sequence. The representative sequences of bacteria were taxonomically classified using a naive Bayesian model implemented in RDP classifier Version 2.2 (Wang et al. 2007), which utilizes the SILVA Database (Pruesse et al. 2007) as the reference. In contrast, the representative sequences of fungi were identified and assigned using a BLAST search against the RDP Classifier. This process employed the Naïve Bayesian assignment method (Wang et al. 2007), with the UNITE Database (version 2016_11_20_ver7) serving as the reference (confidence threshold > 0.8).

Calculations and statistics

For all litterbags, we calculated mass remaining as follows:

$$\mathrm{Mass}\;\mathrm{remaining}\;(\%)= M_1/ M_0 \times 100,$$
(1)

where M0 and M1 represent the dry mass of initial and remaining litter, respectively.

Litter decomposition rates (k) were calculated by fitting the observed data to the exponential decay model as described by Olson (1963):

$${M}_{t}={M}_{0}\times {e}^{-kt},$$
(2)

where Mt represented the litter mass remaining at collection day t. The coefficient k was the decomposition rate (expressed as month−1).

The microbial richness index was used to evaluate the number of OTUs contained in the assemblage, represented by Chao 1. Microbial evenness (represented by Simpson’s E) and diversity (Shannon’s H) were used to evaluate different aspects of the diversity of bacteria and fungi (Dong et al. 2021).

For each sample, OTUs < 5 reads were excluded from analyses. OTUs that had zero abundance after bioinformatic filtering were removed from the dataset. After filtering out invalid OTUs, soil bacterial and fungal richness (Chao 1), Shannon’s diversity (H), and Simpson’s evenness (E) were calculated for each sample using the R package vegan (Otsing et al. 2018). Bacterial and fungal assemblages were visualized using principal component analysis (PCA), and non-parametric permutational multivariate analysis of variance (PerMANOVA) was used to determine the significance of overall community differences. All graphs were created using Origin 2019 for Windows 10.

Results

Litter initial chemical composition and decomposition dynamics

The initial chemical composition of leaf litter is given in Table 2. Moso bamboo had the lowest C:N ratio and lignin concentration, as well as the highest nitrogen and phosphorus concentrations. The lowest concentrations of nitrogen and phosphorus were found in C. japonica, which were also significantly lower than these nutrient concentrations in bamboo leaf litter.

Table 2 Initial chemical composition (mg/g dry litter) for leaf litter of bamboo (Phyllostachys pubescens), broadleaved trees, Chinese fir (Cunninghamia lanceolata), and Cryptomeria japonica

After day 840, the decomposition rate of Moso bamboo leaf litter in the Moso bamboo forest stand (mo-MO) was faster than its rate in the other three forest stands (Table 3). Compared to broadleaf, C. japonica and C. lanceolata leaf litter, the decomposition rate of Moso bamboo leaf litter was highest. C. japonica showed the lowest decomposition rate among all seven treatments (Table 3).

Table 3 Parameters of the best fitting curves for the leaf litter decomposition (based on Eq. 2)

Response of soil microorganisms’ richness and diversity to Moso bamboo leaf litter input

Soil bacterial and fungal richness were very consistent across litter treatments, as indicated by the low variation in Chao 1 values (Fig. 1). At the early decay stage (day 120), the bacterial richness of mo-MO was higher than mo-BR (P > 0.05) and mo-CR (P > 0.05), and lower than mo-CU (P < 0.05). For BR and CU forest stands, there was no significant change in bacterial richness between before and after mo leaf litter input; however, mo leaf litter input decreased the bacterial richness of CR soils, especially at the middle decay stage (day 480s, P < 0.05). Results also indicate that mo-BR and mo-CR treatments were lower than mo-mo and mo-CU treatments at 480 and 840 days. The cu-CU treatment was always higher than the br-BR and cr-CR treatments, especially at day 840 (P < 0.05). Soil bacterial richness increased in all treatments as decomposition progressed (Fig. 1A, B, C).

Fig. 1
figure 1

A-C Bacterial and D-F fungal Chao 1 indexes of surface soils (0–10 cm) under litter bags in different treatments: Moso bamboo leaf litter decomposition in Moso bamboo (mo-MO), broad-leaf (mo-BR), Cryptomeria japonica var. sinensis (mo-CR), and Chinese fir (mo-CU) forest stands, and broad-leaf litter decomposition in broad-leaf forest stands (br-BR), C. japonica var. sinensis leaf litter decomposition in C. japonica var. sinensis forest stands (cr-CR), and Cunninghamia lanceolata leaf litter decomposition in Chinese fir forest stands (cu-CU). Lower case letters above bars denote significant differences among treatments

Soil fungal richness was low relative to bacterial richness at the early decay stage (day 120), and the mo leaf litter input did not change the richness in BR, CR, and CU forest stands (P > 0.05, Fig. 1D). Soil fungal richness in the cr-CR treatment was the lowest among all treatments and significantly lower than in the mo-MO, mo-CU, and cu-CU treatments. Soil fungal richness in the mo-CR treatment was significantly lower than in the mo-MO, mo-BR, and mo-CU treatments at day 840 (Fig. 1F).

Soil bacterial and fungal evenness (Simpson’s E) results showed no statistical differences among treatments, except for small differences in bacterial evenness on day 840 (Fig. 2). During the entire decomposition experiment, mo leaf litter input did not result in significant changes in diversity (Shannon’s H) or evenness (Simpson’s E) for soil bacteria or fungi. Shannon’s H for bacteria in the cr-CR treatment was the lowest (Fig. 2A, B, C). At day 480, Shannon’s H of bacteria in the mo-MO treatment was significantly higher than that of bacteria in the mo-BR and mo-CR treatments (Fig. 2B). At day 120, Shannon’s H of fungal diversity in the cu-CU treatment exhibited the highest performance, which was significantly higher than that of fungi in the mo-BR, br-BR, and cr-CR treatments (Fig. 2D).

Fig. 2
figure 2

Bacterial and fungal diversity (Shannon’s H) and evenness (Simpson’s E) in surface soil (0–10 cm) under litter bags in different treatments: Moso bamboo leaf litter decomposition in Moso bamboo (mo-MO), broad-leaf (mo-BR), Cryptomeria japonica var. sinensis (mo-CR), and Chinese fir (mo-CU) forest stands, and broad-leaf litter decomposition in broad-leaf forest stands (br-BR), C. japonica var. sinensis leaf litter decomposition in C. japonica var. sinensis forest stands (cr-CR), and Cunninghamia lanceolata leaf litter decomposition in Chinese fir forest stands (cu-CU). Lower case letters above bars denote significant differences among treatments. Differing lower-case letters above bars denote significant differences of Shannon’s H or Simpson’s E among treatments

At the early decomposition stage (day 120), the dominant phyla were Protebacteria and Actinobacteria, which accounted for ~ 15% of total soil bacteria (Fig. 3). The soil bacterial composition of Moso bamboo was similar to the three native forest plots. For soil fungi, the dominant phyla were Ascomycota, Basidiomycota, and Mortierellomycota at day 120. Moso bamboo leaf litter input changed the fungal composition at the early decay stages (day 120), reducing Ascomycota relative abundance, but increasing Mortierellomycota relative abundance. As decomposition progressed, these changes disappeared, and the relative abundances of taxa mostly returned to their original proportions.

Fig. 3
figure 3

Bacterial and fungal relative abundances in surface soil (0–10 cm) under litter bags of different treatments. Moso bamboo leaf litter decomposition in Moso bamboo (mo-MO), broad-leaf (mo-BR), Cryptomeria japonica var. sinensis (mo-CR), and Chinese fir (mo-CU) forest stands, and broad-leaf litter decomposition in broad-leaf forest stands (br-BR), C. japonica var. sinensis leaf litter decomposition in C. japonica var. sinensis forest stands (cr-CR), and Cunninghamia lanceolata leaf litter decomposition in Chinese fir forest stands (cu-CU). Lower case letters above bars denote significant differences among treatments

Both soil bacterial and fungal communities demonstrated a clustering relationship in each decomposition treatment (Fig. 4)., The soil bacterial community remained close to the original soil community after bamboo leaf litter addition, except for the mo-CR vs. cr-CR treatments at days 480 and 840 (both P = 0.01). community Similarly, the fungal soil community remained close to the original soil community after bamboo leaf litter addition, except for the mo-CR vs. cr-CR treatments at 480 days and 840 days (both P = 0.01) and the mo-CU vs. cu-CU treatments at 480 days (P = 0.03).

Fig. 4
figure 4

Principal component analysis (PCA) of the soil bacterial and fungal assemblage structures based on the relative abundances of each OTU during litter decomposition. Plots depict A the soil bacterial assemblage at day 120, B the soil bacterial assemblage at day 480, C the soil bacterial assemblage at day 840, D the soil fungal assemblage at day 120, E the soil fungal assemblage at day 480, and F the soil fungal assemblage at day 840

Discussion

Leaf litter decomposition

In the same environment, leaf litter quality determines its decomposition rate (Bradford et al. 2016). Lignin and nitrogen content are key indicators for litter quality: high quality litter typically contains low lignin and high nitrogen concentrations, which make it easy to decay (Bradford et al. 2016). In this study, we showed that lignin concentrations of Moso bamboo leaf litter were significantly lower than the other three litters, whereas, nitrogen content showed the opposite trend (Table 2). That is, leaf litter quality of Moso bamboo (based on lignin content and C:N, Table 2) was higher than that of the other three litters, which was also reflected in the litter decomposition patterns. These results support Hypothesis 1, which was also consistent with recent research on Moso bamboo litter decomposition (Luan et al. 2021). High bamboo leaf litter decomposition rates meant that more litter nutrients were made available to participate in biogeochemical cycles, which could accelerate cycling rates and affect the stability of ecosystem function (Lee et al. 2017).

We also compared decomposition rates of bamboo leaf litter in these four study forests (Fig. 1A), which demonstrated a distinct ‘home-field advantage’ (HFA), since the fastest bamboo decay rates arose in bamboo forest plots. Recent studies suggest that low quality litter can produce strong HFA with its low decomposability (Hoyos-Santillan et al. 2018; Palozzi and Lindo 2018). We speculate that bamboo leaf litter produces an HFA effect with high quality litter because of its specificity with microbial decomposers. Moso bamboo belongs to Gramineous plants, which have a high silicon content, such that a specific decomposer community may be formed in the decomposition process (Schaller et al. 2016). Thus, when bamboo leaf litter enters novel forest plots, this maladapted soil decomposer community could result in decreased decay rates.

Soil microorganism richness and diversity

Nutrients from litter decomposition are important resources for the growth and reproduction of soil microorganisms (Tamura and Tharayil 2014). Previous studies have found that invasive plants generally have high quality leaf litter (i.e., low lignin content) compared with native plants, allowing invasive plants to supply more soluble carbon and mineralized nutrients to maintain a richer soil microbial community (Prescott and Zukswert 2016). In this study, the addition of bamboo litter did not alter the microbial richness and diversity in the BR and CU forest soils, but it did affect the microbial richness of CR forest soils with lower litter quality (Figs. 2 and 3). These results partially support Hypothesis 2. A previous study demonstrated that fast-decomposing litter can provide more labile carbon to microorganisms, thus enhancing the microbial carbon use efficiency in soils (Ridgeway et al. 2022). This phenomenon was also evident in the mo-CR treatment in our study, where the fast decomposition of bamboo litter likely brought more labile carbon to the CR forest soils, promoting microbial growth and reproduction and leading to changes in microbial richness and diversity. In the mo-BR and mo-CU treatments, the changes in soil microbial richness and diversity were not significant. This may be because bamboo leaf litter is high inquality (i.e., low lignin) and decomposes rapidly, so the addition of bamboo litter did not generate a noticeable priming effect (Fanina et al. 2020). Another possible reason for the lack of microbial richness and diversity differences in the mo-BR and mo-CU treatments was that we did not continuously add fresh leaf litter in the process of our experiment. A previous study demonstrated that repeated litter additions would increase carbon use efficiency and change soil microbial community structure compared to a single litter addition (Wei et al. 2022). Our results showed that the greater the initial difference in litter quality, the more pronounced the impact was on soil microorganisms.

Soil bacterial phyla

In this study, Proteobacteria, Acidobacteria, Verrucomicrobia, and Planctomycetales were the main bacterial phyla in soils across all seven treatments. During early decomposition, the combined relative abundances of Proteobacteria and Acidobacteria reached up to 75% (Fig. 3), which is consistent with previous research (Jia et al. 2022). Some researchers have speculated that Proteobacteria belongs to early decomposers that can break down recalcitrant substances, and that they are especially effective decomposers when their relative abundances in soils are high (Jia et al. 2022; Zhang et al. 2017). We found that Verrucomicrobia abundances increased during the middle stage of decomposition (day 480), especially in mo-MO and mo-CU treatments, where their increases exceeded 10% (Fig. 3). High abundances of Verrucomicrobia in soils of Moso bamboo (MO) and Chinese fir (CU) forest stands might be related to low nitrogen and phosphorus concentrations in these two soils (Table 2). Verrucomicrobia can participate in nitrogen fixation and polysaccharide degradation (Shen et al. 2017), and they seem to favor barren soils (i.e., with low nitrogen availability) where they appear to compete with other bacteria (Isanapong et al. 2013). During later stages of decomposition in our study, Planctomycetales became a dominant soil bacterial phyla in all treatments. Planctomycetales is unique among microbes in that it can break down chitin in soils (Dedysh and Ivanova 2018; Wang et al. 2015). We speculate that the increase of Planctomycetales abundance in the late stage of decomposition (day 840) was due to chitin accumulation from fungal necromass (Adamczyk et al. 2019).

After the addition of bamboo litter, the relative proportions of soil bacterial phyla in the BR forest soils did not show significant changes at the three sampling time points; however, the PCA analysis results indicate that, at specific time points, the addition of bamboo litter altered the microbial composition of CR and CU forest soils. These findings partially supported Hypothesis 3. Different chemical properties of litter (e.g., N content, lignin content, lignin:N ratio) can lead to variation in soil properties (e.g., pH, C and N pools, N mineralization rates), which may result in changes in the soil bacterial composition (Rivest et al. 2015). The chemical properties of bamboo litter differed significantly from the other three forest litter types (Table 2); however, bamboo litter did not alter the bacterial composition in the soils of these three forest types. This may be related to the resistance and resilience of soil bacterial communities. Many studies have indicated that soil bacterial communities exhibit some resistance (in the short term) and resilience (in the long term) to mild external disturbances (Steven et al. 2021). In this study, we did not observe changes in bacterial composition due to bamboo litter addition, possibly because the first sampling event was after a relatively long time (120 days). Consequently, we could not determine if these forests exhibited bacterial resistance to bamboo litter additions. However, our results do support the notion that soil bacteria are resilient to bamboo litter additions.

Soil fungal phyla

Soil fungi are key players during litter decay because of their ability to degrade recalcitrant compounds such as lignin (Schneider et al. 2012). In our study, Mortierellomycotina was dominant during the early decomposition stage (day 120, Fig. 3). Mortierellomycotina belongs to fast-growing saprotrophs that prefer labile C compounds. Thus, much of the labile C compounds from initial decomposition input can support Mortierellomycotina growth and reproduction (Taylor and Sinsabaugh 2015).

Ascomycota is also a very common fungi in soil (Prober et al. 2015), which is thought to have the ability to degrade cellulose and lignin (Sanaullah et al. 2016). In our study, during the middle- and late-stages of decomposition, soil fungi were dominated by Ascomycota (Fig. 4). Ascomycota may be better able to cope with environmental stressors by utilizing a variety of resources, leading to more generalist strategies that maintain their dominant position in soils (Egidi et al. 2019). In our study, bamboo leaf litter input decreased soil Ascomycota abundances in the other three forest plots. That phenomenon was likely because high quality bamboo litter is conducive to supporting other fungi, which could limit the available ecological niche space of Ascomycota. In this regard, these findings support Hypothesis 3.

Our study found that the relative abundances of Basidiomycota gradually increased throughout the decomposition process. This could be relevant given the accumulation of refractory substances during litter decay (Ma et al. 2013). Our study results also demonstrated that the relative abundances of Basidiomycota were highest in Chinese fir forest soils (i.e., both in mo-CU and cu-CU treatments).

In the later stages of decomposition, the fungal communities in the soils of the three native forests reverted to their original states. Studies suggest that soil fungal communities also possess a certain degree of resilience in response to environmental changes (Alvarez-Manjarrez and Garibay-Orijel 2021), and our results corroborated this idea. Compared to bacteria, the recovery of fungal communities to their original states was relatively slow, which can be attributed to the slower growth rates of fungi (Rivest et al. 2015).

Soil microorganism community composition

Change of soil microbial communities are thought to act on a very local scale when available substrates are altered (Li et al. 2020). After the same litter type is consistently input, specialized microbial decomposer communities can develop in soils (Keiser et al. 2011). For example, previous studies have demonstrated that the diversity of soil microorganisms was influenced by litter incorporation (Bamminge et al. 2014; Müller et al. 2017; Jin et al. 2022). In our study, the soil microbial community of BR forest with high litter quality showed no distinct changes after bamboo litter addition, but we observed significant changes in CR and CU forest soil communities with low litter quality (see PCA results, Fig. 4). A recent study suggested that aboveground litter additions significantly increased the gene copy number of both bacterial and fungal communities in early decomposition (i.e., the first 72 days), which was stimulated by labile C released from litter (e.g., sugars and polysaccharides), and had no effect after 72 days (Xing et al. 2019). In our study, we measured bacterial and fungal communities after 120 days of litter decomposition, which means we may have missed the opportunity to observe differences in BR forest soil microbial communities associated with bamboo litter addition. Our results also suggest that soil microbial communities could return to their original, pre-litter-addition compositions without continuous input of fresh leaf litter. Ultimately, our findings partially support Hypothesis 3, and further research is needed to confirm this phenomenon.

While our study did not directly assess the mycorrhizal symbionts associated with the plant species in our experiment, the identity of these partners likely influenced our decomposition and microbial community patterns, as this has been documented in other systems (Keller and Phillips 2019; Deng et al. 2023). Existing published information suggests that these symbiotic partners were likely different between bamboo and the plant species we examined in this study. For example, for Chinese fir and broad-leaf trees, the primary mycorrhizae associates have been documented to be arbuscular mycorrhizae (AM), but for bamboo the symbiont is ectomycorrhizae (EM) (e.g., Koele et al. 2012; Kong et al. 2014; Pan et al. 2015; Tedersoo et al. 2014; Wang and Qui 2006). Additionally, while we couldn’t find information comparing the different types of mycorrhizae in Daphniphyllum macropodum, spore density and species richness of AM fungi can be high in these shrubs (Yang 2018). Further, while we found no direct evidence documenting the mycorrhizae associated in Machilus thunbergii, indirect evidence suggests that this species is associated with AM fungi as well (Ishikawa and Nara 2023; Kamijo et al. 2002). Collectively, this evidence suggests that the type and composition of mycorrizae associated with the different species we examined influences litter decomposition and associated free-living fungal communities of decomposing leaf litter, and we believe this is an important area of future research.

Conclusions

Our results demonstrate that Moso bamboo leaf litter is of high quality and has rapid litter decomposition rates compared to litter from the three native forest plants. Furthermore, within the decomposition time points we sampled, we only observed distinct differences in certain forest soil microorganisms in response to the addition of bamboo leaf litter. Therefore, we suggest that soil microorganism community responses to changes in litter inputs likely only occur on short time scales, and the soil microorganism communities we studied were resilient to bamboo litter addition.