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Article

Changes in Bacterial Communities and Their Effects on Soil Carbon Storage in Spartina alterniflora Invasion Areas, Coastal Wetland Bare Flats, and Sueada salsa Areas

by
Jiashuo Liu
1,
Xiaoxiao Duan
1,
Guo Li
1,
Zhenjie Cai
1,
Sijie Wei
1,
Qixuan Song
2,* and
Zheng Zheng
2,*
1
Department of Environmental Science & Engineering, Fudan University, 2005 Songhu Road, Shanghai 200438, China
2
School of Life Sciences, Nanjing University, No. 163 Xianlin Road, Nanjing 210023, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(5), 4308; https://doi.org/10.3390/ijerph20054308
Submission received: 6 February 2023 / Revised: 26 February 2023 / Accepted: 27 February 2023 / Published: 28 February 2023
(This article belongs to the Special Issue Risk Characterization of Environmental/Human Health)
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Abstract

:
Spartina alterniflora is considered an invasive species that has affected the biogeochemical circle of carbon in coastal wetlands around the world. Nevertheless, it is still unclear how S. alternation invasion affects the carbon storage capacity of coastal wetlands as carbon pools through bacterial changes. Herein, bacterial communities and soil carbon content in coastal wetland native areas and S. alterniflora invasion areas were detected. It was found that an S. alterniflora invasion brought more organic carbon and resulted in the increase in Proteobacteria in bare flats and Sueada salsa areas. When decomposition capacity was not sufficient, large amounts of organic carbon may be stored in specific chemical forms, such as monosaccharides, carboxylic acids, alcohols, etc. The results have also shown that soil bacterial communities were highly similar between the bare flat and S. alterniflora invasion area, which is extremely conducive to the rapid growth of S. alterniflora. However, an S. alterniflora invasion would decrease total carbon contents and inorganic carbon contents in the Sueada salsa area. This is not conducive to the stability of the soil carbon pool and soil health. These findings may complement, to some extent, the shortcomings of the interaction between S. alterniflora and bacterial communities, and their joint effect on soil carbon storage.

1. Introduction

The coastal wetland flat is an ecological transition zone formed under the co-development of multi-water environments [1], which is located in the land-sea interaction zone. With unique hydrological conditions and physicochemical soil properties, it has been one of the most productive ecosystems on earth. Influenced by both ocean and land, the coastal wetland has an abundant environmental composition [2] that plays an important role in the global carbon cycle. Previous studies have indicated that the carbon storage of coastal wetland ecosystems, such as salt marshes, mangroves, and seagrass beds, accounts for more than 50% of all marine carbon storage [3,4]. However, coastal wetlands are also the zones most sensitive to climate change and most responsive to human activities. It is estimated that the carbon loss caused by the destruction of coastal wetlands per hectare is equivalent to 10–40 hectares of temperate forest [5]. Hence, the migration and transformation of soil carbon in coastal wetland carbon cycle research has attracted more attention.
Serving as the representative plant of coastal wetlands, Spartina alterniflora (S. alterniflora) was originally introduced for the purpose of protecting tidal flats and promoting sediment deposition [6,7]. Unfortunately, owing to its high adaptability and reproductive ability, S. alterniflora occupies the growth space of local plants, affects the material cycle and soil ecosystem of coastal wetlands [8], and threatens local biodiversity [9,10]. Current evidence preliminarily suggests that S. alterniflora’s influence on coastal wetlands is considered to be two-sided. Scholars paid more attention to the positive effects, and there have been significantly higher numbers of studies on the positive effects of S. alterniflora than those on the negative effects [11,12]. Research on the negative effects of S. alterniflora has increased recently, whereas these limited negative effects studies have merely focused on the different performance of S. alterniflora and other plants in the ecosystem [13,14,15]. In particular, the detailed interaction mechanism of S. alterniflora and soil microorganisms has not yet been clearly determined. For instance, Levin et al. and Ma et al. have focused on S. alterniflora changing the landscape and microtopography of coastal intertidal mudflats, as well as the living conditions of native species and the nutrient structure of ecosystems [14,15].
As an important biological type of coastal wetland ecosystem, soil bacteria plays a crucial role in the process of how changes to coastal wetlands are caused by an S. alterniflora invasion. Previous studies showed that the invasion of S. alterniflora could increase the richness of denitrification bacteria and denitrification ability in coastal wetland soil [16]. The gradient investigation of S. alterniflora was also carried out in the wetlands with different invasion conditions, and it was found that the increase in the saprotroph-symbiotroph was conducive to the colonization and expansion of S. alterniflora [17]. However, it is still unclear how an S. alternation invasion affects the carbon storage capacity of coastal wetlands as carbon pools through bacterial changes, which is also one of the most important ecological functions of coastal wetlands. Thus, it is necessary to compare the changes brought by an S. alterniflora invasion at the bacterial level and reveal how they interact with each other and what their joint effects are in the process of an S. alterniflora invasion.
In this paper, the intensity of soil carbon metabolism was substituted by the abundance of bacteria that control soil carbon metabolism. The bacterial community difference between S. alterniflora invasion areas and coastal wetland native ecology areas was defined by the difference in microflora phyla. At the same time, the changes of contents in the surface soil carbon storage, including soil organic and inorganic carbon, were detected. These changes in carbon contents were matched to changes in soil bacterial communities caused by an S. alterniflora invasion, in particular by combining changes in the bacteria that dominated carbon decomposition processes in coastal wetlands. Therefore, from the perspective of the interaction between plants and microorganisms, this paper reveals how S. alterniflora affects the soil bacterial community in coastal wetlands, and thus affects soil carbon storage in coastal wetlands. This contribution further provides a theoretical basis for the prevention and control of biological invasions and the protection of coastal wetlands’ soil health.

2. Material and Method

2.1. Study Area

The Tiaozini Wetland is a coastal wetland on the east coast of China, covering 600 km2 (Figure 1A). It is located in the transition area between the warm temperate zone and the subtropical zone (32°43′ N–32°52′ N, 120°53′ E–121°3′ E), with a mild climate and rich biodiversity. It is the central node of the migration route of East Asia-Australia migratory birds. In 2019, the Tiaozini Wetland was successfully selected as a protected World Natural Heritage Site. The texture of the wetland flat is mainly a silt flat, which has a strong ability to fix water and salt.

2.2. Samples Collection

Seventeen 5 m by 5 m quadrats were set up in three different ecological areas. Five different sample points were set up in each quadrat. Soil samples of 0–20 cm were collected from different sampling points in the same quadrat and mixed together to produce a sample. Finally, there were seventeen different soil samples collected at 0–20 cm in three different ecological areas. Eight soil samples (GT-1 to GT-8) were collected from a bare flat (GT). Four soil samples (JP-1 to JP-4) were collected from the Sueada salsa area (JP) that had been growing for more than ten years. These two areas were the native ecological areas of the coastal wetland. In addition, five samples were collected from an S. alterniflora invasion area (SA), including a perennial S. alterniflora growth area (SA-S-1,2,4), an S. alterniflora mature area (SA-S-P), and an S. alterniflora birth area (SA-2). All the sampling areas are located in the closed area of the World Natural Heritage protected area, with minimal human disturbance. Information on the samples and sampling locations are shown in Table 1.

2.3. Soil Carbon Content Detection

The carbon content in the sample was detected using a TOC-L SSM from the Shimadzu Company, which was able to directly detect the carbon content in soil solids and automatically acidified the soil to remove carbonates during the detection of inorganic carbon (IC). Each sample was freeze-dried, ground, and passed through 100 mesh screens. Each test was performed using 500 mg samples, and each sample was repeated three times. The data of soil total carbon content (TC) and inorganic carbon (IC) content was able to be obtained directly through instrument detection. The soil organic carbon content (SOC) of the sample is obtained from the difference between the TC and the IC of the sample.

2.4. DNA Extraction and PCR Amplification

DNA was extracted from wetland flat soil samples using the E.Z.N.A soil kit (Omega Bio-tek, Norcross, GA, USA). Three copies of each sample were extracted, and the resulting DNA was mixed. DNA concentration and purity were measured by NanoDrop2000, and quality of extracted DNA was measured using 1% agarose gel electrophoresis. The V3-V4 region of bacterial DNA was amplified via a polymerase chain reaction (PCR) using 338FmodF (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806RmodR (5′-GGACTACHVGGGTWTCTAAT-3′) primers [18]. The two primers have increased the coverage of sequences available in the Ribosomal Database Project (RDP) and have been widely and successfully used in many previous studies for Illumina-based surveys of bacteria [19]. Detection results of PCR products from all samples were collected in a set for paired-end sequencing.

2.5. Illumina Miseq Sequencing

Sequencing was performed on an Illumina Miseq instrument from the Shanghai Personalbio Technology Co., Ltd. (Shanghai, China). After obtaining the sequencing data, QIIME2 (2019.4) was firstly used for data optimization to remove the low-quality sequences with lengths shorter than 200 bp, average masses less than 25, and ambiguous bases. Using the dada2 method, only dereplication was applied to the high-quality sequences, which was equivalent to clustering with 100% similarities, and the OTU sequence with one and only one in all samples was removed. Each de-weighted sequence generated after quality control is called an ASV (corresponding to the OTU representing sequence), and the abundance table of these sequences in the sample is called the feature table (corresponding to the OTU table) [20]. Considering the differences in sequencing depth between different samples, the sequencing results were flattened according to the minimum sequencing volume in order to optimize the comparison between samples. Subsequently, species annotation and subsequent analysis of prokaryotic microorganisms and fungi were conducted based on the Green genes database [21].

3. Results and Discussion

3.1. Changes in α Diversity of Bacterial Communities

In order to understand the changes of bacterial communities in coastal tidal wetlands after an S. alterniflora invasion, the bacterial composition and diversity were analyzed using classified sequences of all samples. Operational taxonomic units (OTUs) were denoised using QIIME2 DADA2 [22] and clustered using Vsearch [23] with a 97% similarity cut-off. The RDP FrameBot is used to correct insertion and deletion errors in nucleic acid sequences. A total of 1,890,167 raw sequences were generated from seventeen soil samples from three regions (eight collected from bare flats, four collected from areas of Sueada, five collected from areas invaded by S. alterniflora), and 1,541,492 amplicon sequence variants (ASVs) were screened. Finally, 1,175,770 high-quality prokaryotic 16S r RNA sequences were obtained from 17 soil samples. The length for all samples ranged from 366 to 435.
The results of composition and diversity in the varied samples are shown in Figure 2, including the analysis of Chao1, Goods-coverage, Shannon, Simpson, and Observed_species. Community richness was represented by the Chao1 and Observed_species index. The Shannon and Simpson indexes were utilized to analyze the community diversity. In addition, community coverage analysis was acquired using Good’s coverage index to evaluate the bacterial diversity of each sample [24]. It was demonstrated that the samples covered all three areas well (Good-coverage > 0.985). A correlation of p = 0.059 (Kruskal-Wallis test) was observed between the OTUs and Chao1; thus, Chao1 can roughly indicate the total number of species in a sample. In general, there are significant differences among the three ecological areas. It showed that bacterial richness in Sueada salsa areas was the least, which was consistent with Observed_species (p = 0.042). The abundance and diversity of soil bacteria in S. alterniflora invasion areas were higher than that of the native species (Sueada salsa area), but lower than that of bare flat areas.

3.2. Changes in Bacterial Community Composition

In terms of the composition of the soil bacterial community, 42 bacteria phyla were detected in 17 soil samples (Figure 3). The abundant phyla varied across all the samples, but generally included Proteobacteria, Chloroflexi, Acidobacteria, Actinobacteria, Bacteroidetes, and Gemmatimonadetes. These bacteria were made up, respectively, of 57.8%, 10.9%, 6.9%, 6.7%, 5.8%, and 5.1% of the soil bacterial community on average, which in total made up more than 90% of the bacterial community. Therein, Proteobacteria accounted for the highest proportion. Especially in the area invaded by S. alterniflora, the proportion of Proteobacteria was nearly 70%, which was much higher than that of two native ecosystems in coastal wetlands.
Nowadays, there is no comprehensive conclusion on the decomposition rate of organic carbon by microbiome [19,25]. However, previous studies on the assessment of bacterial carbon decomposition potential from the perspective of functional genes have shown that Proteobacteria, Actinobacteria, Green Bayobacteria, and Bacteroidetes are main bacterial groups involved in soil carbon metabolism in coastal wetland soil at the phylum level, among which Proteobacteria and Actinobacteria are the main contributors [26,27]. They had a strong carbon decomposition ability, which had the ability to degrade disaccharides, polysaccharides, and cellulose. In our study, it was clear that the Proteobacteria abundance in the S. alterniflora invasion area was close to the bare flat, and higher than that in the native Sueada salsa area (Figure 3). In addition, Proteobacteria occupied nearly 70% in the S. alterniflora invasion area (Figure 3). This meant that bacterial carbon metabolism activity was more active than that in the native areas, especially in the Sueada salsa area. As for Actinobacteria, the proportions of Actinobacteria in the three areas were all close and in the range of 5–8% (Figure 3). To sum up, when there are S. alterniflora invasions, the proportion of Proteobacteria in bare flat areas increased. Moreover, the total number of bacteria and the proportion of Proteobacteria in Sueada salsa areas were both increased according to Figure 2 and Figure 3. The changes in the bacterial community may enhance soil carbon decomposition.

3.3. Similarities and Differences among Soil Bacterial Communities

To further demonstrate the effects of an S. alterniflora invasion on a soil bacterial community in a coastal tidal flat, the distribution characteristics of samples in three areas were visualized using NMDS. The Anosim test was used to determine the inter-group differences among bare flats, Sueada salsa areas, and S. alterniflora invasion areas [28,29]. The distance algorithm was performed with Jaccard.
According to Figure 4 and Table 2, the stress value of NMDS was 0.0772, much less than 0.2, which means the NMDS result is highly reliable [30]. The soil bacterial community in the Sueada salsa area was significantly different from that in the other two areas, in particular a very low similarity to S. alterniflora (RJP-SA = 1). Interestingly, the bare flats and Sueada salsa areas were both native ecological areas of the coastal wetland but showed a great difference in soil bacterial communities. The results revealed that the similarity of soil bacterial communities between bare flats and Sueada salsa areas (RGT-JP = 0.914) was lower than that between bare flats and S. alterniflora invasion areas (RGT-SA = 0.278). A more similar soil microbiome composition would be more conducive to plant growth. This may also be one of the reasons why S. alterniflora has been able to bio-invasively replace the ecological niche of proto-species such as Sueada salsa.

3.4. Verification of Similarities and Differences of Soil Bacterial Communities

Three groups (GT, JP, SA) of undrawn ASV data were divided into two groups and imported into zero-inflated log-normal models using the fitFeature Model function, respectively. The logarithm of genetic difference (−1 < log2FC < 1) was calculated, and the results were obtained (Figure 5). Among them, the round dot represented the abundance of the genus, which above the dotted line represented having significant differences in this genus. Through this analysis, the differences between the soil bacterial community in the S. alterniflora invasion area and the wetland native area, at the bacterial genus level, were found. Then, the differences were clustered to verify the results of the differences at the bacterial phylum level. Each of these points represents a different bacterial genus. The larger the point, the more significant the difference in the bacterial genus between the two groups.
It can be clearly seen that, although the genus was different, the differences in Proteobacteria were the most significant in the whole bacterial community. The S. alterniflora invasion area had the highest abundance. The lowest abundance was found in the Sueada salsa area. There were very significant differences between the S. alterniflora invasion area and the Sueada salsa area. In addition, it can also be roughly seen that the difference between the S. alterniflora invasion area and the bare flat is smaller than that between the bare flat and the Sueada salsa area, which is also consistent with the previous conclusion—the S. alterniflora invasion area and the bare flat had high similarities.
To further determine the similarity between soil communities in three areas, a hierarchical clustering analysis was performed for all samples. According to Figure 6, samples from the Sueada salsa area were significantly removed from the other two areas. It was also proved that although bare flat sand Sueada salsa areas were both the native ecological areas of the coastal wetland, the soil bacterial community composition of bare flats is more similar to that of S. alterniflora invasion areas. Especially, the intra-group sample distances between some bare flat samples were higher than the distances between the bare flat and S. alterniflora invasion area samples. This may be that bacterial communities in bare flats were significantly affected by factors such as tides, rivers, distance from the coast, and so on [31,32]. So, the soil bacterial community composition of some bare flats has been suitable for the long-term growth of S. alterniflora.

3.5. Possible Relationship between Soil Carbon Content Changes and Bacterial Community Changes

To evaluate changes in soil carbon storage induced by an S. alterniflora invasion, the location information, pH, EC, and carbon content (TC, IC, and SOC) of the samples were detected and are shown in Table 1. Since all the areas were located near the same dike, the tidal cover, tidal water depth, and hydrological characteristics in all three ecological areas were very similar. The results revealed that the soil in the three areas was weak in alkaline. The pH in the area invaded by S. alterniflora was the lowest, which was consistent with the conclusion of previous studies that soil acidification was caused by S. alterniflora invasions [33]. Results of SOC suggested that the Sueada salsa area had the lowest concentration, and the bare flat was next. Relative to the Sueada salsa area and the bare flat, it showed the highest concentration invaded by S. alterniflora. These observations revealed that the soil of S. alterniflora invasion areas can store more organic carbon. Moreover, the soil bacterial abundance was lower in S. alterniflora invasion areas than in bare flats (Figure 2), suggesting that S. alterniflora invasion areas were more suitable for soil organic carbon storage than bare flats. Notably, according to Figure 3, Proteobacteria occupied a high proportion in the soil of the S. alterniflora invasion area. Proteobacteria had strong organic carbon decomposition ability, which usually reduces organic carbon content. Nevertheless, the high SOC content in the soil of S. alterniflora invasion areas may be related to the properties of S. alterniflora and the characteristics of the bacterial communities in coastal wetlands, which is not only associated with one factor. For one thing, previous studies have provided evidence that S. alterniflora had a stronger carbon fixation capacity than other wetland plants and was decomposed more slowly [34,35], which provided sufficient organic matter for bacteria. It partly explained the reason why soil in S. alterniflora invasion areas had higher SOC and was consistent with SOC contents in our study. For another, higher bacterial carbon metabolism activity did not lead to lower SOC in our study. This was possibly related to the decomposition ability of bacterial communities in coastal wetlands which had a lower ability to break down certain substances, such as monosaccharides, carboxylic acids, alcohols, and phenols [36,37,38]. Organic carbon is well stored in these forms.
However, in terms of TC, the soil carbon content in S. alterniflora invasion areas was lower than that in Sueada salsa areas. This was because Sueada salsa areas’ soil contained higher IC. The S. alterniflora invasion could cause soil acidification, which is not conducive to the storage of inorganic carbon. That is to say, the soil in Sueada salsa areas can store more carbon, especially a large amount of inorganic carbon. Compared with S. alterniflora invasion areas, the bacterial richness in Sueada salsa areas was lower (Figure 2). These were both more conducive to soil carbon storage performance.
To sum up, although an S. alterniflora invasion could bring some benefits to the bare flats, the carbon storage capacity of S. alterniflora soil was weaker than that of Sueada salsa area soil. When S. alterniflora flourished in coastal wetlands and threatened the survival of other species such as Sueada salsa, it reduced the carbon storage capacity of coastal wetlands.
The changes of SOC caused by an S. alterniflora invasion is directly related to the changes of soil bacterial communities mentioned above. In coastal wetlands, Proteobacteria and Actinobacteria were the main bacterial groups involved in soil carbon decomposition, which could secrete a variety of organic carbon-degrading enzymes [39]. The S. alterniflora invasion led to the increase in SOC in coastal wetlands, which would lead to the increase in Proteobacteria richness and its proportion in the soil bacterial community. As for why S. alterniflora invasion areas had higher SOC when the bacterial community had higher carbon decomposition capacity, this may be related to the weak ability of soil bacteria to decompose monosaccharides, carboxylic acids, alcohols, phenols, and other substances in coastal wetlands [36,37,38]. A large amount of organic carbon may be stored in these forms.

4. Conclusions

In this paper, one of the other reasons why S. alterniflora easily invades coastal wetlands and the changes in bacterial community affected in soil carbon storage were discussed. In detail, it has a high similarity between the naturally formed bare flat soil bacterial community, and in the soil environment where S. alterniflora grows, it does so for a long time. S. alterniflora is well adapted to the soil bacterial environment in bare flats.
The invasion and expansion of S. alterniflora would lead to changes in soil bacterial communities and soil carbon storage in coastal wetlands. One of the most significant was an increase in Proteobacteria. At the same time, S. alterniflora invasions increased soil organic carbon content in coastal wetlands and also provided sufficient organic matter for bacteria. The combined effects of the two may further improve soil carbon decomposition rates in coastal wetlands. Due to lack of ability to break down some particular matters, a lot of organic carbon may be stored in the form of monosaccharides, carboxylic acids, alcohols, phenols, etc.
In addition, the S. alterniflora invasion could also lead to soil acidification in coastal wetlands, thus reducing soil inorganic carbon content, which makes the carbon storage capacity of soil invaded by S. alterniflora lower. Thus, when S. alterniflora threatened the survival of other native species in coastal wetlands, it reduces the carbon storage capacity of coastal wetland.

Author Contributions

Conceptualization, J.L.; methodology, J.L. and S.W.; investigation, G.L. and Z.C.; writing—original draft preparation, J.L. and X.D.; writing—review and editing, J.L. and X.D.; supervision, Q.S. and Z.Z.; project administration, Z.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by ABA Chemicals grant number SCH1829202E.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is unavailable due to privacy or ethical restrictions.

Acknowledgments

This work was supported by ABA Chemicals and the People’s Government of Dongtai City, Jiangsu province, China.

Conflicts of Interest

All the authors declare no conflict of interest.

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Figure 1. Study area diagram (A) and distribution diagram of sampling points (B).
Figure 1. Study area diagram (A) and distribution diagram of sampling points (B).
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Figure 2. Five different types of indexes of soil samples form bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA). The Chao1 and Observed_species indexes show community richness. The Shannon and Simpson indexes show the community diversity. Good’s coverage index shows the community coverage analysis of each sample. * indicates that there are significant differences between the two groups of data using dunn’s test.
Figure 2. Five different types of indexes of soil samples form bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA). The Chao1 and Observed_species indexes show community richness. The Shannon and Simpson indexes show the community diversity. Good’s coverage index shows the community coverage analysis of each sample. * indicates that there are significant differences between the two groups of data using dunn’s test.
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Figure 3. Taxonomic composition of soil bacterial communities at the phylum level in bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA).
Figure 3. Taxonomic composition of soil bacterial communities at the phylum level in bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA).
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Figure 4. Visualization of the distribution characteristics of samples from bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA) (confidence interval ≥ 0.95).
Figure 4. Visualization of the distribution characteristics of samples from bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA) (confidence interval ≥ 0.95).
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Figure 5. MetagenomeSeq analysis looked for significant differences in species composition between bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA). (A) Differences in gene expression in bacterial communities between SA and JP. (B) Differences in gene expression in bacterial communities between SA and GT. (C) Differences in gene expression in bacterial communities between GT and JP. The top icon shows the most distinct phylum. The color of the points represents the phylum to which it belongs, which is consistent with the color of the phylum below it.
Figure 5. MetagenomeSeq analysis looked for significant differences in species composition between bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA). (A) Differences in gene expression in bacterial communities between SA and JP. (B) Differences in gene expression in bacterial communities between SA and GT. (C) Differences in gene expression in bacterial communities between GT and JP. The top icon shows the most distinct phylum. The color of the points represents the phylum to which it belongs, which is consistent with the color of the phylum below it.
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Figure 6. The hierarchical clustering analysis of bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA). On the left is the hierarchical clustering tree diagram, where samples are clustered according to their similarity. The shorter the branch length between samples, the more similar the two samples are. On the right is a stacked bar chart of the top 10 genera in abundance.
Figure 6. The hierarchical clustering analysis of bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA). On the left is the hierarchical clustering tree diagram, where samples are clustered according to their similarity. The shorter the branch length between samples, the more similar the two samples are. On the right is a stacked bar chart of the top 10 genera in abundance.
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Table
Table 1. Sample collection area information and partial physicochemical properties information.
Table 1. Sample collection area information and partial physicochemical properties information.
SampleGTJPSA
VegetationBare flatSueada salsaSpartina alterniflora Loisel
Location32°45′ N, 120°57′ E32°52′ N, 120°56′ E32°47′ N, 120°57′ E
pH8.34 ± 0.398.52 ± 0.057.68 ± 0.10
EC (mS/cm)43.4 ± 2.734.8 ± 4.736.8 ± 2.7
TC (mg/g)12.11 + 1.5614.42 ± 1.5313.45 ± 2.64
IC (mg/g)2.17 ± 0.467.27 ± 1.023.16 ± 0.73
SOC (mg/g)9.94 ± 0.237.15 ± 0.6310.29 ± 0.35
Table
Table 2. Anosim was used to verify difference between bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA).
Table 2. Anosim was used to verify difference between bare flats (GT), Sueada salsa areas (JP), and S. alterniflora Loisel areas (SA).
Group1Group2Sample SizeRp-Valueq-Value
GTJP120.9140.0040.011
GTSA130.2780.0340.034
JPSA910.0070.011
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MDPI and ACS Style

Liu, J.; Duan, X.; Li, G.; Cai, Z.; Wei, S.; Song, Q.; Zheng, Z. Changes in Bacterial Communities and Their Effects on Soil Carbon Storage in Spartina alterniflora Invasion Areas, Coastal Wetland Bare Flats, and Sueada salsa Areas. Int. J. Environ. Res. Public Health 2023, 20, 4308. https://doi.org/10.3390/ijerph20054308

AMA Style

Liu J, Duan X, Li G, Cai Z, Wei S, Song Q, Zheng Z. Changes in Bacterial Communities and Their Effects on Soil Carbon Storage in Spartina alterniflora Invasion Areas, Coastal Wetland Bare Flats, and Sueada salsa Areas. International Journal of Environmental Research and Public Health. 2023; 20(5):4308. https://doi.org/10.3390/ijerph20054308

Chicago/Turabian Style

Liu, Jiashuo, Xiaoxiao Duan, Guo Li, Zhenjie Cai, Sijie Wei, Qixuan Song, and Zheng Zheng. 2023. "Changes in Bacterial Communities and Their Effects on Soil Carbon Storage in Spartina alterniflora Invasion Areas, Coastal Wetland Bare Flats, and Sueada salsa Areas" International Journal of Environmental Research and Public Health 20, no. 5: 4308. https://doi.org/10.3390/ijerph20054308

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