Next Article in Journal
AIS and VMS Ensemble Can Address Data Gaps on Fisheries for Marine Spatial Planning
Next Article in Special Issue
Awareness of Air Pollution and Ecosystem Services Provided by Trees: The Case Study of Warsaw City
Previous Article in Journal
The Treachery of Images: Redefining the Structural System of Havana’s National Art Schools
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of Canada Goldenrod Invasion on Soil Extracellular Enzyme Activities and Ecoenzymatic Stoichiometry

1
School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
2
Lincoln Agritech Ltd., Engineering Drive, Lincoln University, Lincoln 7674, New Zealand
3
Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou 571158, China
*
Authors to whom correspondence should be addressed.
Sustainability 2021, 13(7), 3768; https://doi.org/10.3390/su13073768
Submission received: 20 January 2021 / Revised: 23 March 2021 / Accepted: 24 March 2021 / Published: 29 March 2021
(This article belongs to the Special Issue Effects of Global Changes on Biodiversity and Ecosystem Services)

Abstract

:
The rapid expansion of Canada goldenrod (Solidago canadensis L.) in China has drawn considerable attention as it may not only decrease vegetation diversity but also alter soil nutrient cycling in the affected ecosystems. Soil extracellular enzymes mediate nutrient cycling by catalyzing the organic matter decomposition; however, the mechanisms by which alien plant invasion may affect soil extracellular enzymes remain unclear. The objective of this study was to investigate the responses of soil extracellular enzyme activities and ecoenzymatic stoichiometry to S. canadensis invasion. Several extracellular enzymatic activities related to carbon, nitrogen, and phosphorus cycling were measured using a fluorometric method. Ecoenzymatic stoichiometry was used as a proxy of soil microbial metabolic limitations. S. canadensis invasion appeared to be associated with decreased activities of enzymes and with substantial conversions of microbial metabolic carbon and nitrogen limitations. The changes in the activities of extracellular enzymes and the limitations of microbial metabolism were correlated with the alterations in the nutrient availability and resource stoichiometry in the soil. These findings reveal that the alterations in soil available nutrients associated with S. canadensis invasion may regulate extracellular enzymatic activities and cause microbial metabolic limitations, suggesting that S. canadensis invasion considerably affects biogeochemical cycling processes.

1. Introduction

Biological invasions are one of the major threats to functioning, economical use, biodiversity, and services of the global ecosystem [1,2,3,4]. Alien invasive plants alter the structure and composition of vegetation communities in the invaded ecosystem due to rapid growth, high reproductive, and spreading capacity [5,6]. There is no doubt the shifts in the vegetation communities can further impact numerous ecosystem processes and functions, thereby cause irreversible effects on the invaded ecosystems [7,8]. Potential threats of alien invasive plants have been studied in depth, and various possible invasion hypotheses have been suggested [1,6]. However, some of these hypotheses are either overlapped or imprecise, mostly due to the overwhelming diversity regarding alien invasive plant species and types of invaded ecosystems [9]. Hence, understanding the mechanistic framework by which the alien invasive plants outcompete native plants is crucial for mitigating invader effects on ecosystems and for maintaining natural biodiversity and ecosystem functionality [9].
Soil nutrient availability is considered a potential major abiotic factor influencing the success of alien invasive plants. Compared with native plants, alien invasive plants typically show higher nutrient use efficiency and more flexible nutrient use strategies [6]. In nutrient-limited environments, alien invasive plants can outcompete native plants either due to greater assimilation of carbon (C) and/or other nutrients or due to switching their nutrient use strategy to a “resource conservative strategy” that lowers their nutrient requirements to sustain high growth rates [10]. Moreover, alien invasive plants can change soil available nutrient content by releasing particular substrate compounds, which elicits alterations in soil microbial communities and thereby facilitates higher growth rates in the invasive plant species [7]. Many studies reported that invasive plants typically produce higher quantity and quality of leaf litter and root exudates in terms of higher nitrogen (N) content, lower ratio of C to N, and lignin content, which leads to enhanced availability of N and/or phosphorus (P), and to an imbalance in nutrient stoichiometry in soils of invaded habitats [9,11,12,13,14]. In addition, alterations in substrate availability can also drive changes in soil microbial communities. Thus, alien invasive plants can increase substrate decomposition rates by modifying soil microbial community functions, which accelerates nutrient cycling and the subsequent release of nutrients into the soil, thereby causing a positive, self-reinforcing feedback mechanism of invasion [8,12,15]. Nevertheless, there is still a lack of a mechanistic framework to help understand how changes in soil available nutrients induced by invasive plants accelerate successful invasion.
Soil nutrient availability and nutrient turnover are mainly regulated by soil microbes through extracellular enzymes that help decompose soil organic matter (SOM) [5,16]. Numerous enzymes required for C, N, and P acquisition from soil are highly sensitive to changes in soil nutrients, therefore, their activities have been considered as an index of soil nutrient availability and stability [17]. Sinsabaugh et al. [18,19] developed a new approach to assess the energy and nutrient limitations in soil microbial metabolism using soil extracellular ecoenzymatic stoichiometry based on the ecological stoichiometry theory and metabolic theory of ecology [20]. Soil extracellular ecoenzymatic stoichiometry can help link soil nutrient availability with soil microbial nutrient acquisition strategies, which are affected by soil microbial metabolism demand, as soil microbes obtain and/or compete with plants for soil available nutrients during SOM decomposition [19,21,22]. Hence, it is necessary to identify how nutrient status and metabolic limitations of soil microbes vary during the succession of native and invasive vegetation in order to understand soil microbial responses to alien plant invasion processes and their effects on soil nutrient cycles.
Canada goldenrod (Solidago canadensis L.) has become one of the most rapidly expanding alien invasive plants in China after its introduction from North America as a horticultural plant in 1935 [23,24]. This species has since colonized large areas of disturbed and undisturbed land in Southeastern China, including original habitats of common reed (Phragmites australis (Cav.) Trin. ex Steud) [25,26]. The objective of the present study was to investigate the patterns of soil extracellular enzymes and ecoenzymatic stoichiometry to assess soil microbial metabolic limitations and to identify drivers of such alteration processes following invasion by S. canadensis. To test this, four isolated P. australis original transect lines were selected based on similar environmental conditions in a shoreside area. In each of the four isolated P. australis transect lines, three study sites with different S. canadensis invasive gradient were established to measure six extracellular enzymatic activities related to C, N, and P cycling and ecoenzymatic stoichiometry in the soil. Compared to native plants, S. canadensis produces higher litter input and root exudates (e.g., allelopathy exudates) into the soil [27,28,29]. Here, we tested two hypotheses: (1) S. canadensis invasion will increase activities of soil extracellular enzymes; and (2) S. canadensis invasion will affect microbial nutrient status and metabolic limitations, which should be reflected in soil extracellular ecoenzymatic stoichiometry. The response patterns of soil extracellular enzymatic activities and microbial metabolic limitations to S. canadensis invasion revealed in the present study will improve the understanding of the changes in soil nutrient cycling during plant invasion processes.

2. Materials and Methods

2.1. Study Site Description

The study area was in an artificial urban green space located at a shoreside of a tributary of the Yangtze river (32°14′ N, 119°29′ E) near Zhenjiang City, China. In 2018, the annual air temperature and natural precipitation were 17.1 °C and 1272.1 mm, respectively [30]. Plant diversity in this artificial urban green space was low and P. australis was the originally dominant landscape vegetation to ornament and divide different functional areas. However, the artificial urban green space was recently invaded by S. canadensis, which spread from east to west. The invasion formed a mosaic pattern of S. canadensis and P. australis transect lines. The overall coverage of P. australis in the study area was >50%, and that of S. canadensis was approximately 35%.
Within the study area, four isolated transect lines were selected based on similar environmental conditions. For each of the four transect lines, three study sites were divided according to the different dominant plant communities in terms of S. canadensis invasive gradient in the P. australis original habitats. From east to west, these sites included (1) an S. canadensis-dominated site (SD; coverage: 96.83 ± 0.49%), (2) a site co-dominated (CD) by S. canadensis (coverage: 45.88 ± 14.22%) and P. australis (coverage: 18.63 ± 5.33%), and (3) a site dominated by P. australis (PD; coverage: 77.60 ± 3.37%) which showed no or only slight signs of invasion. At each study site, one experimental plot (1 × 1 m) with over 80% coverage by S. canadensis, P. australis, or both was established to account for vegetation diversity. The interval between two neighboring plots in each transect line had a minimum distance of 8 m. Hence, a total number of 12 experimental plots (3 three different dominant plant community study sites × 4 replication) were established.

2.2. Soil Sample Collection and Preparation

Soil samples (top soil, 0–15 cm depth) were collected from ten points along an S-shaped pattern in each experimental plot using a soil corer (2.4 cm diameter) in November 2018. Soil samples from each plot were mixed thoroughly to obtain one composite soil sample, and a total number of 12 composite soil samples were obtained. All composite soil samples were passed through a sieve (2 mm) to remove visible plant debris and stones and to homogenize before subdividing the samples for analyses. Each composite sample was divided into two portions, one of which was stored at 4 °C until analyzed for microbial biomass and extracellular enzymatic activity (EEA), and the second portion was air-dried for soil physicochemical property analyses. Soil physicochemical property and soil microbial biomass analyses were performed within two weeks of sample collection, while EEA analysis was done within 48 h after sampling.

2.3. Measurement of Soil Physicochemical and Microbial Biomass Properties

Soil moisture (SM) was measured as mass loss after oven-drying at 105 °C for 72 h. Soil pH was measured in soil suspensions of air-dried soil in deionized water at a ratio of 1:5 (weight to volume). Soil cation exchange capacity (CEC) was assessed following the ammonium acetate (pH 7.0) method according to Brown [31]. Soil organic C (SOC) and SOM (SOM = 1.724 × SOC) content were assessed using the dichromate oxidation method repotted by Cui et al. [32]. Soil dissolved organic C (DOC) content was measured according to Li et al. [33]. Soil total C (STC) content and N (STN) content were quantified using an elemental analyzer (vario MACRO; Elementar Analysensysteme GmbH, Langensebold, Germany). Soil inorganic N (SIN) content was recorded as the sum of soil NO3-N and NH4-N contents which were measured following the colorimetric methods reported by Miranda et al. [34] and Mulvaney [35], respectively. Soil total P (STP) and available P (SAP) contents were measured following the molybdate colorimetric method from Murphy and Riley [36] and Olsen et al. [37]. Soil microbial biomass C (MBC), N (MBN), and P (MBP) contents were measured following the chloroform fumigation extraction method given by Brookes et al. [38] and Vance et al. [39].

2.4. Measurement of Soil EEA

Activities of C-acquisition enzymes (α-glucosidase (AG), β-1,4-glucosidase (BG), and β-1,4-xylosidase (BX)), of the N-acquisition enzymes (β-1,4-N-acetylglucosaminidase (NAG) and L-leucine aminopeptidase (LAP)), and of the P-acquisition enzyme alkaline phosphatase (AP) were assessed by fluorometry according to DeForest [40] with substrates linked to fluorescent molecules and using a special buffer solution which buffered the enzyme-substrate solutions in a similar pH range as occurred at the study sites [41]. A 4-methylumbelliferone and phosphate buffer solution (pH 8.0) was used to quantify AG, BG, BX, NAG, and AP, whereas 7-amino-4-methylcoumarin and tris(hydroxymethyl)aminomethane buffer (pH 8.0) were used to quantify LAP. The detailed EEA measurement procedures have been described previously [16]. All enzyme reactions were incubated in the dark at 25 °C for 2 h before measurement at 355 nm excitation wavelength and 460 nm emission wavelength using a multimode microplate reader (infinite M1000PRO; Tecan, Männedorf, Switzerland).

2.5. Statistical Analyses

Ratios of soil extracellular C-, N-, and P-acquisition enzymes were considered to represent the ratio of EEAs directed toward acquiring C, N, and P from soil. They were calculated using data based on untransformed proportional activities according to the following equations (Equations (1)–(3)):
C : N   acquisition = ( AG + BG + BX ) / ( NAG + LAP )
C : P   acquisition = ( AG + BG + BX ) / ( AP )
N : P   acquisition = ( NAG + LAP ) / ( AP )  
where C:N acquisition (EEAC:N) is the ratio of soil extracellular C-acquisition enzymes to N-acquisition enzymes; C:P acquisition (EEAC:P) is the ratio of soil extracellular C- acquisition enzymes to P-acquisition enzyme; and N:P acquisition (EEAN:P) is the ratio of soil extracellular N-acquisition enzymes to P-acquisition enzyme [42,43].
Soil microbial nutrient status and metabolic limitations, as inferred from soil extracellular ecoenzymatic stoichiometry, were assessed by calculating vector length (VL) and vector angle (VA) of extracellular enzymes as well as the threshold elemental ratios (TERs). VL represents microbial C limitation, with longer VL indicating stronger microbial C limitation, and VA represents microbial N and P limitation, with a VA larger or smaller than 45º indicating microbial P limitation and N limitation, respectively [44]. TERC:N and TERC:P represent the elemental ratio at which metabolic control of microbial metabolic limitation switches between C limitation and nutrient (N or P) limitation [19,45]. VL, VA, and TER were calculated using the following equations (Equations (4)–(7)):
VL = ( C : P   acquisition ) 2 + ( C : N   acquisition ) 2
VA =   degrees   ( ATAN 2 ( ( C : P   acquisition ) , ( C : N   acquisition ) ) )
TER C : N = ( C : N   acquisition ) × M B C : N / n 0
TER C : P = ( C : P   acquisition ) × M B C : P / p 0
where MBC:N and MBC:P are the MBC to MBN and MBC to MBP ratios, respectively; and n0 and p0 are dimensionless normalization constants that represent the intercepts of ln(AG + BG + BX) vs. ln(NAG + LAP) and ln(AG + BG + BX) vs. ln(AP), respectively.
A one-way analysis of variance (ANOVA) followed by Fisher’s least significant difference test at p < 0.05 was performed to test the differences in soil EEAs, microbial metabolic limitation indicators, and environmental variables (physicochemical and microbial biomass properties) across the S. canadensis invasion gradient. Redundancy analysis (RDA) and a permutational multivariate ANOVA (PERMANOVA) were performed to test site differences in soil EEAs and microbial metabolic limitation indicators in relation to environmental variables. A variation partitioning analysis (VPA) was performed using the RDA results to further assess the relative importance of soil environmental variables on soil EEAs and microbial metabolic limitation indicators. Partial least squares path modeling (PLS-PM) was performed to evaluate possible pathways by which variables affect soil microbial metabolic limitation indicators following S. canadensis invasion. ANOVA, RDA, and PLS-PM were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA), CANOCO version 5.0 (Microcomputer Power, Inc., Ithaca, NY, USA), and Amos in IBM SPSS version 24.0 (SPSS Inc., Chicago, IL, USA), respectively, and PERMANOVA and VPA were performed using R software version 4.0.2 (R Core Team [46]).

3. Results

3.1. Soil Physicochemical and Microbial Biomass Properties

Soil physicochemical and microbial biomass properties differed across the invasion gradient of S. canadensis. Soil moisture (SM) was 20.85% and 15.51% lower at the S. canadensis-dominated (SD) site than at the co-dominated (CD) and P. australis-dominated (PD) sites, respectively (p < 0.05). Soils at the SD site displayed significantly higher CEC and DOC content than CD and PD sites’ soils (p < 0.01, each). Soils were alkaline across the invasion gradient of S. canadensis. The pH of soils was greatest at the SD site and lowest at the CD site. Compared to the PD site, SD and CD sites showed changes in STC by −17.83% and 7.79% and in STN by −16.48% and 8.01%, respectively. STP was significantly increased by 20.21% and 4.46% at SD and CD sites, respectively, resulting in significant alterations in soil resource ratios of STC to STP by −31.48% and 3.00% and in STN to STP by −30.64% and 2.95% at SD and CD sites, respectively, compared to the PD site. Soil microbial biomass properties showed different trends across the invasion gradient of S. canadensis, which were, however, not statistically significant (Table 1).

3.2. Soil EEAs and Microbial Metabolic Limitation Indicators

S. canadensis invasion induced significant differences in BG (p < 0.05), LAP (p < 0.05), and AP activities (p < 0.01), in C-acquisition enzyme activities (including AG, BG, and BX; p < 0.05), N-acquisition enzyme activities (including NAG and LAP; p < 0.05), and in the ratio of C-acquisition to P-acquisition enzymes (p < 0.05) (Figure 1; Table 2). Sites with more S. canadensis invasion tended to have lower soil enzyme levels. Specifically, activities of all individual enzymes and most of C- and N-acquisition enzymes were reduced with the only exception of NAG activity, which was increased for the SD site (Figure 1). Compared to the PD site, the ratios of C-acquisition to P-acquisition enzymes significantly increased by 64.75% and 39.97% (p < 0.05) at SD and CD sites, respectively (Table 2).
The patterns of soil microbial metabolic limitation indicators as reflected by extracellular ecoenzymatic stoichiometry differed across the invasion gradient of S. canadensis. VLs and VAs ranged from 5.42 to 8.73 and from 6.64° to 13.63°, respectively. At the SD site, VL was significantly higher (by 61.11%) than at the PD site, whereas VA was significantly lower (by 47.80%) than at the PD site (p < 0.05, each). All VAs were smaller than 45°, and no significant differences in TER (TERC:N and TERC:P) were observed. TERC:N at the SD site was 3.33-fold lower than that at the PD site, whereas TERC:P showed the opposite pattern with 1.61-fold higher values at sites dominated by S. canadensis than the ones dominated by P. australis (Table 2). Taken together, the results suggest considerable C and N limitation of soil microbial metabolism at S. canadensis-invaded sites.

3.3. Relationships of Soil EEAs, Soil Microbial Metabolic Limitation Indicators, and Soil Properties

RDA and PERMANOVA results show spatial variability in all EEAs and microbial metabolic limitation indicators, and RDA1, which accounted for 60.58% of the variability-distinguished samples across the invasion gradient of S. canadensis (p < 0.01; Figure 2). The VPA suggested that soil physicochemical properties, resource ratios, and microbial biomass properties explained 32%, 30%, and 16% of variation, respectively (Figure 3). CEC, DOC, the ratio of STC to STP, and the ratio of STN to STP together accounted for 66.4% of the variability; these factors are therefore considered as key properties.
The PLS-PM analysis demonstrated that the alterations in soil properties and resource ratios induced by S. canadensis invasion affected EEAs and ultimately influenced soil microbial metabolic limitation indicators (Figure 4). The effects of the ratio of C-acquisition to P-acquisition enzymes on VL (−0.604) and VA (0.984) showed the reverse pattern. Moreover, the ratio of C-acquisition to P-acquisition enzymes was found to be a direct driver of microbial metabolic limitation variation at all sites.

4. Discussion

4.1. The Effects of S. canadensis Invasion on Soil EEAs

S. canadensis invasion was originally hypothesized to increase the activities of soil extracellular enzymes due to its faster growth and higher productivity leading to increased litter input into the soil [27,28]. In contrast to this prediction, S. canadensis invasion sites showed decreased C-, N-, and P-acquisition enzymatic activities (apart from NAG activity; Figure 1). Furthermore, soil EEAs were positively or negatively correlated with soil physicochemical properties and resource ratios (Figure 2 and Figure 3 and Figure S1), which may suggest that suppression of EEAs was due to changes in the soil nutrient status. These conclusions are in line with those of other studies on alien invasive plants, which exhibited that changes in C-, N-, and P-acquisition enzymes were associated with changes in soil available nutrients, indicating that limitations and imbalances of nutrients can partially underlie production of soil enzymes and affect their activity [18,47,48]. Owing to their fast growth, alien invasive plants may outcompete both native vegetation and soil microbes through rapid uptake and use of soil nutrients [5,26]. Thus, S. canadensis invasion may aggravate nutrient limitations and imbalances in the soil microenvironment and in soil microbes, which may elicit further direct and indirect adverse effects on microbial resource acquisition, thereby suppressing soil microbial growth and enzyme productions [47,49].
A previous study has shown that the activities of C-, N-, and P-acquisition enzymes can be inhibited by interactions with compounds released by S. canadensis (Kim et al., 2018). SOM is a primary substrate of enzymatic activities; however, S. canadensis invasion apparently did not induce changes in SOM at the sites of the current study (Table 1), which suggests that differences in enzyme activities across the invasion gradient of S. canadensis may be due to plant compounds in the soil and/or interactions between plant secondary compounds and functional groups of microbes [11,25]. Plant secondary compounds in soil are subjected to enzymatic degradation, and their constituents are integrated during enzyme synthesis [50]. The previous study at the same field sites showed that the cellulose in leaves of S. canadensis was lower than that in leaves of P. australis (Table S1; data from Hu [51]). Less abundant cellulose as a hydrolysis substrate for soil microbes may inhibit microbial production of cellulases such as BG (Figure 1). Additionally, previous studies found that allelopathic exudates from S. canadensis may inhibit native plant growth, and they also induce changes in specific soil microbe functional groups, inhibit the activity of soil microbes, and subsequently suppress enzymatic activities [16,17,29,48,52,53]. This was in line with the higher phenol and flavone concentrations in S. canadensis leaves (Table S1; data from Hu [51]). Thus, soil nutrient composition may vary between vegetation communities as a consequence of differential effects on soil extracellular enzymes.

4.2. The Effects of S. canadensis Invasion on Soil Microbial Metabolic Limitations

It was predicted that S. canadensis invasion would induce changes in microbial nutrient status and metabolic limitations, which should be reflected in soil extracellular ecoenzymatic stoichiometry. This hypothesis was supported by significant variation in soil extracellular ecoenzymatic stoichiometry, which revealed nutritional limitations of microbial metabolism (Table 2). The opposite trend was observed regarding TERC:N and TERC:P, which suggested that S. canadensis invasion increased the sensitivity of soil microbes to nutrient limitation. All VA points were below the 1:1-line (with VAs smaller than 45°), indicating that N was a limiting factor for soil microbes at all sites. However, as VL became greater at S. canadensis-invaded sites, the microbial N limitation would gradually convert to C limitation, which resulted in a reduced microbial N assimilation. Altered microbial N limitation can substantially influence the growth and metabolism of microbes because microbes must maintain the homeostasis and requirements of nutrients, thereby reducing competition for N between plants and soil microbes to facilitate successful invasion [32].
As the availability and stability of nutrients are likely the fundamental drivers of both plant and microbial community succession, changes in soil nutrient status after S. canadensis invasion may be the predominant mechanism underlying the increasing microbial C and N limitation due to the nutrient requirements of microbial homeostasis. This assumption is supported by the RDA and PLS-PM results (Figure 4 and Figure S1). Competition for soil nutrients between invasive and native plants and between plants and soil microbes may cause nutrient limitations and imbalance [45]. Meanwhile, S. canadensis invasion is speculated to alter soil hydrology and nutrient input and thereby affect nutrient availability. For example, significantly higher P content (regarding both STP and SAP) at S. canadensis-dominated sites may indirectly affect C and N mineralization due to co-metabolism processes with P, which in the present study was supported by the observed significant differences in DOC, the ratio of STC to STP and of STN to STP (Table 1). The induced limitations and imbalance of soil nutrients further restrained enzymes (Figure 1 and Table 2), as soil microbes can regulate enzyme production and ecoenzymatic stoichiometry, particularly so in nutrient-limited microenvironments [19]. Nutrient requirements of microbial homeostasis modulated their response and metabolism to the soil nutrient deficiency, leading to a relative microbial C and/or N limitation. Consequently, soil microbes may attempt to increase acquisition of limiting C and N to maintain stoichiometric homeostasis and facilitate growth under nutrient-limited conditions [21,45,54], as may be induced by S. canadensis invasion.

4.3. Implication of S. canadensis Invasion Effects on Soil EEAs and Microbial Metabolic Limitations

In ecologically sensitive areas (e.g., natural riparian habitats), changes in vegetation community succession may alter the hydrologic functioning and may affect soil nutrient input and microbial communities, thereby changing the soil biogeochemical nutrient cycling processes [14,22]. Previous studies suggested that short-term effects of vegetation community changes on soil physiochemical properties may not be as strong as long-term effects; however, vegetation community changes may affect soil extracellular enzymes due to altered plant nutrient uptake and changed soil microbiomes [55]. Corresponding mechanisms were observed in the present study, as S. canadensis invasion appeared to significantly affect several soil physiochemical properties, EEAs, and soil microbial metabolic limitations (Figure 1 and Figure 2; Table 1 and Table 2).
Variability in soil available nutrients may be the predominant mechanism underlying changes in soil EEAs and microbial metabolic limitations following S. canadensis invasion. S. canadensis invasion will likely induce biogeochemical modifications in many areas. The replacement of P. australis by S. canadensis will result in nutrient-limited microenvironments by competition and continuous input of specific metabolic substrates into the soil. The deficiency and imbalance of soil available nutrients, as was the case in the present study, may compel soil microbiomes to initially break down complex substrates to meet nutrient demands; however, such complex substrates may require more microbial enzymatic steps for degradation which further decreases conversion efficiency of nutrient [17,27]. Therefore, S. canadensis invasion is likely to alter nutrient cycling and decrease the activity (e.g., enzyme production) and growth of soil microbiomes.

5. Conclusions

S. canadensis invasion appeared to be associated with markedly reduced C-, N-, and P-acquiring enzyme activities (apart from NAG) and with changes in soil microbial metabolic limitations. These shifts are fully paralleled by the shifts in soil available nutrients induced by S. canadensis invasion. The present results suggest S. canadensis invasion can affect the C-, N-, and P-acquiring enzyme and the soil microbial metabolisms which in turn alter biogeochemical cycling processes in previously P. australis-dominated riparian habitats, and a positive, self-reinforcing feedback mechanism of nutrient cycling may facilitate successful S. canadensis invasion and persistence.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/su13073768/s1, Table S1: Leaf characteristic of Canada goldenrod (Solidago canadensis L.) and common reed (Phragmites australis) among the study sites, presented as mean ± standard error, Figure S1: Heat map of correlation among soil properties, EEAs, and microbial metabolic limitation indicators among the study areas.

Author Contributions

Conceptualization, Z.H., G.L. and D.D.; methodology, Z.H., Z.D., J.S. and X.Z.; software, Z.H. and G.R.; investigation, Z.H., J.L., K.S. and G.R.; data curation, Z.H., J.L., K.S. and G.R.; writing—original draft preparation, Z.H.; writing—review and editing, Y.Z., J.Z., G.L. and D.D.; visualization, Z.H.; funding acquisition, G.L. and D.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the State Key Research Development Program of China [2017YFC1200100], the National Natural Science Foundation of China [31800342,31770446,32071521], the China Postdoctoral Science Foundation [2019M651720], the Talent Project from the “Double-Entrepreneurial Plan” in Jiangsu Province, the Jiangsu University Foundation, and the Postgraduate Research and Practice Innovation Program of Jiangsu Province [SJCX19_0568].

Data Availability Statement

Not Applicable.

Acknowledgments

We are grateful to Jie Dong, Weikang, Xia, Xijia Zhang, and Jiangquan Wang for their help with the experiment during the study period. We are also grateful to the Editor and one anonymous referee for providing valuable comments.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dai, Z.C.; Fu, W.; Qi, S.S.; Zhai, D.L.; Chen, S.C.; Wan, L.Y.; Huang, H.; Du, D.L. Different responses of an invasive clonal plant Wedelia trilobata and its native congener to gibberellin: Implications for biological invasion. J. Chen. Ecol. 2016, 42, 85–94. [Google Scholar] [CrossRef]
  2. Mamik, S.; Sharma, A.D. Protective role of boiling stable antioxidant enzymes in invasive alien species of Lantana exposed to natural abiotic stress like conditions. Russ. J. Biol. Invasions 2017, 8, 75–86. [Google Scholar] [CrossRef]
  3. Park, J.S.; Choi, D.; Kim, Y. Potential Distribution of Goldenrod (Solidago altissima L.) during Climate Change in South Korea. Sustainability 2020, 12, 6710. [Google Scholar] [CrossRef]
  4. Boscutti, F.; Pellegrini, E.; Casolo, V.; Nobili, M.; Buccheri, M.; Alberti, G.; Rapson, G. Cascading effects from plant to soil elucidate how the invasive Amorpha fruticosa L. impacts dry grasslands. J. Veg. Sci. 2020, 31, 667–677. [Google Scholar] [CrossRef]
  5. Wei, H.; Yan, W.B.; Quan, G.M.; Zhang, J.E.; Liang, K.M. Soil microbial carbon utilization, enzyme activities and nutrient availability responses to Bidens pilosa and a non-invasive congener under different irradiances. Sci. Rep. 2017, 7, 11309. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Osborne, B.; Gioria, M. Plant invasions. J. Plant Ecol. 2018, 11, 1–3. [Google Scholar] [CrossRef]
  7. Belnap, J.; Phillips, S.L.; Sherrod, S.K.; Moldenke, A. Soil Biota Can Change after Exotic Plant Invasion: Does This Affect Ecosystem Processes? Ecology 2005, 86, 3007–3017. [Google Scholar] [CrossRef]
  8. Vila, M.; Espinar, J.L.; Hejda, M.; Hulme, P.E.; Jarosik, V.; Maron, J.L.; Pergl, J.; Schaffner, U.; Sun, Y.; Pysek, P. Ecological impacts of invasive alien plants: A meta-analysis of their effects on species, communities and ecosystems. Ecol. Lett. 2011, 14, 702–709. [Google Scholar] [CrossRef] [PubMed]
  9. Zhou, Y.; Staver, A.C. Enhanced activity of soil nutrient-releasing enzymes after plant invasion: A meta-analysis. Ecology 2019, 100, e02830. [Google Scholar] [CrossRef]
  10. Wan, L.Y.; Qi, S.S.; Zou, C.B.; Dai, Z.C.; Du, D.L. Phosphorus addition reduces the competitive ability of the invasive weed Solidago canadensis under high nitrogen conditions. Flora 2018, 240, 68–75. [Google Scholar] [CrossRef]
  11. Kim, S.; Kang, J.; Megonigal, J.P.; Kang, H.; Seo, J.; Ding, W. Impacts of phragmites australis invasion on soil enzyme activities and microbial abundance of tidal marshes. Microb. Ecol. 2018, 76, 782–790. [Google Scholar] [CrossRef] [PubMed]
  12. Zhang, H.Y.; Goncalves, P.; Copeland, E.; Qi, S.S.; Dao, Z.C.; Li, G.L.; Wang, C.Y.; Du, D.L.; Thomas, T. Invasion by the weed Conyza canadensis alters soil nutrient supply and shifts microbiota structure. Soil Biol. Biochem. 2020, 143, 107739. [Google Scholar] [CrossRef]
  13. Liao, C.; Peng, R.; Luo, Y.; Zhou, X.; Wu, X.; Fang, C.; Chen, J.; Li, B. Altered ecosystem carbon and nitrogen cycles by plant invasion: A meta-analysis. New Phytol. 2008, 177, 706–719. [Google Scholar] [CrossRef] [PubMed]
  14. Vitti, S.; Pellegrini, E.; Casolo, V.; Trotta, G.; Boscutti, F.; Zhu, B. Contrasting responses of native and alien plant species to soil properties shed new light on the invasion of dune systems. J. Plant Ecol. 2020, 13, 667–675. [Google Scholar] [CrossRef]
  15. Adomako, M.O.; Xue, W.; Tang, M.; Du, D.L.; Yu, F.H. Synergistic effects of soil microbes on Solidago canadensis depend on water and nutrient availability. Microb. Ecol. 2020, 80, 837–845. [Google Scholar] [CrossRef]
  16. Li, G.; Kim, S.; Han, S.H.; Chang, H.; Du, D.; Son, Y. Precipitation affects soil microbial and extracellular enzymatic responses to warming. Soil Biol. Biochem. 2018, 120, 212–221. [Google Scholar] [CrossRef]
  17. Ge, Y.; Wang, Q.; Wang, L.; Liu, W.; Christie, P. Response of soil enzymes and microbial communities to root extracts of the alien Alternanthera philoxeroides. Arch. Agron. Soil Sci. 2018, 64, 708–717. [Google Scholar] [CrossRef]
  18. Sinsabaugh, R.L.; Lauber, C.L.; Weintraub, M.N.; Ahmed, B.; Zeglin, L.H. Stoichiometry of soil enzyme activity at global scale. Ecol. Lett. 2008, 11, 1252–1264. [Google Scholar] [CrossRef] [PubMed]
  19. Sinsabaugh, R.L.; Hill, B.H.; Shah, J.J.F. Ecoenzymatic stoichiometry of microbial organic nutrient acquisition in soil and sediment. Nature 2009, 462, 795–798. [Google Scholar] [CrossRef] [PubMed]
  20. Tapia-Torres, Y.; Elser, J.J.; Souza, V.; García-Oliva, F. Ecoenzymatic stoichiometry at the extremes: How microbes cope in an ultra-oligotrophic desert soil. Soil Biol. Biochem. 2015, 87, 34–42. [Google Scholar] [CrossRef]
  21. Cui, Y.; Fang, L.; Deng, L.; Guo, X.; Zhang, X. Patterns of soil microbial nutrient limitations and their roles in the variation of soil organic carbon across a precipitation gradient in an arid and semi-arid region. Sci. Total Environ. 2019, 658, 1440–1451. [Google Scholar] [CrossRef]
  22. He, Q.; Wu, Y.; Bing, H.; Zhou, J.; Wang, J. Vegetation type rather than climate modulates the variation in soil enzyme activities and stoichiometry in subalpine forests in the eastern Tibetan Plateau. Geoderma 2020, 37, 114424. [Google Scholar] [CrossRef]
  23. Zhang, F.; Wan, F. Canada Goldenrod Solidago canadensis L. In Biological Invasions and Its Management in China; Springer: Singapore, 2017; pp. 143–151. [Google Scholar] [CrossRef]
  24. Ren, G.; He, M.; Li, G.; Anandkumar, A.; Dai, Z.; Zou, C.B.; Hu, Z.; Ran, Q.; Du, D.L. Effects of Solidago canadensis invasion and climate warming on soil net N mineralization. Pol. J. Environ. Stud. 2020, 29, 3285–3294. [Google Scholar] [CrossRef]
  25. Zhang, L.; Zhang, Y.; Zou, J.; Siemann, E. Decomposition of phragmites australis litter retarded by invasive Solidago canadensis in mixtures: An antagonistic non-additive effect. Sci. Rep. 2014, 4, 5488. [Google Scholar] [CrossRef] [Green Version]
  26. Wang, C.; Jiang, K.; Zhou, J.; Wu, B. Solidago canadensis invasion affects soil N-fixing bacterial communities in heterogeneous landscapes in urban ecosystems in east China. Sci. Total Environ. 2018, 631–632, 702–713. [Google Scholar] [CrossRef]
  27. Wang, C.; Wu, B.; Jiang, K. Allelopathic effects of Canada goldenrod leaf extracts on the seed germination and seedling growth of lettuce reinforced under salt stress. Ecotoxicology 2019, 28, 103–116. [Google Scholar] [CrossRef]
  28. Ren, G.Q.; Zou, C.B.; Wan, L.Y.; Johnson, H.J.; Li, J.; Zhu, L.; Qi, S.S.; Dai, Z.C.; Zhang, H.Y.; Du, D.L. Interactive effect of climate warming and nitrogen deposition may shift the dynamics of native and invasive species. J. Plant Ecol. 2020, rtaa071. [Google Scholar] [CrossRef]
  29. Baležentienė, L. Secondary metabolite accumulation and phytotoxicity of invasive species Solidago canadensis L. during the growth period. Allelopath. J. 2015, 35, 217–226. [Google Scholar]
  30. Zhenjiang Meteorological Administration. Available online: http://js.cma.gov.cn/dsjwz/zjs/ (accessed on 20 December 2020).
  31. Brown, I.C. A rapid method of determining exchangeable hydrogen and total exchangeable bases of soils. Soil Sci. 1943, 56, 353–358. [Google Scholar] [CrossRef]
  32. Cui, Y.; Zhang, Y.; Duan, C.; Wang, X.; Zhang, X.; Ju, W.; Chen, H.; Yue, S.; Wang, Y.; Li, S.; et al. Ecoenzymatic stoichiometry reveals microbial phosphorus limitation decreases the nitrogen cycling potential of soils in semi-arid agricultural ecosystems. Soil Till. Res. 2020, 197, 104463. [Google Scholar] [CrossRef]
  33. Li, Q.; Liu, Y.; Gu, Y.; Guo, L.; Zhu, P. Ecoenzymatic stoichiometry and microbial nutrient limitations in rhizosphere soil along the hailuogou glacier forefield chronosequence. Sci. Total Environ. 2020, 704, 135413. [Google Scholar] [CrossRef] [PubMed]
  34. Miranda, K.M.; Espey, M.G.; Wink, D.A. A rapid, simple spectrophotometric method for simultaneous detection of nitrate and nitrite. Nitric Oxide 2001, 5, 62–71. [Google Scholar] [CrossRef]
  35. Mulvaney, R.L. Nitrogen-inorganic Forms. In Methods of Soil Analysis. Part 3-chemical Methods; SSSA and ASA: Madison, WI, USA, 1996; pp. 1123–1184. [Google Scholar]
  36. Murphy, J.A.M.E.S.; Riley, J.P. A modified single solution method for the determination of phosphate in natural waters. Anal. Chim. Acta 1962, 27, 31–36. [Google Scholar] [CrossRef]
  37. Olsen, S.R.; Sommers, L.E. Phosphorous. In Methods of Soil Analysis, Part 2, Chemical and Microbial Properties; SSSA and ASA: Madison, WI, USA, 1982; pp. 403–430. [Google Scholar]
  38. Brookes, P.C.; Landman, A.; Pruden, G.; Jenkinson, D.S. Chloroform fumigation and the release of soil nitrogen: A rapid direct extraction method to measure microbial biomass nitrogen in soil. Soil Biol. Biochem. 1985, 17, 837–842. [Google Scholar] [CrossRef]
  39. Vance, E.D.; Brookes, P.C.; Jenkinson, D.S. An extraction method for measuring soil microbial biomass C. Soil Biol. Biochem. 1987, 19, 703–707. [Google Scholar] [CrossRef]
  40. DeForest, J.L. The influence of time, storage temperature, and substrate age on potential soil enzyme activity in acidic forest soils using MUB-linked substrates and LDOPA. Soil Biol. Biochem. 2009, 41, 1180–1186. [Google Scholar] [CrossRef]
  41. A’Bear, A.D.; Jones, T.H.; Kandeler, E.; Boddy, L. Interactive effects of temperature and soil moisture on fungal-mediated wood decomposition and extracellular enzyme activity. Soil Biol. Biochem. 2014, 70, 151–158. [Google Scholar] [CrossRef]
  42. Fanin, N.; Moorhead, D.; Bertrand, I. Eco-enzymatic stoichiometry and enzymatic vectors reveal differential C, N, P dynamics in decaying litter along a land-use gradient. Biogeochemistry 2016, 129, 21–36. [Google Scholar] [CrossRef]
  43. Sinsabaugh, R.L.; Turner, B.L.; Talbot, J.M.; Warning, B. Stoichiometry of microbial carbon use efficiency in soils. Ecol. Monogr. 2016, 86, 172–189. [Google Scholar] [CrossRef] [Green Version]
  44. Moorhead, D.L.; Rinkes, Z.L.; Sinsabaugh, R.L.; Weintraub, M.N. Dynamic relationships between microbial biomass, respiration, inorganic nutrients and enzyme activities: Informing enzyme-based decomposition models. Front. Microbiol. 2013, 4, 223. [Google Scholar] [CrossRef] [Green Version]
  45. Guo, K.; Zhao, Y.; Liu, Y.; Chen, J.; Qin, H. Pyrolysis temperature of biochar affects ecoenzymatic stoichiometry and microbial nutrient-use efficiency in a bamboo forest soil. Geoderma 2020, 363, 114162. [Google Scholar] [CrossRef]
  46. R Core Team. R: A Language and Environment for Statistical Computing; Vienna, Austria, 2013; Available online: https://www.R-project.org (accessed on 20 December 2020).
  47. Chapuis-Lardy, L.; Vanderhoeven, S.; Dassonville, N.; Koutika, L.S.; Meerts, P. Effect of the exotic invasive plant Solidago gigantea on soil phosphorus status. Biol. Fertil. Soils 2006, 42, 481–489. [Google Scholar] [CrossRef] [Green Version]
  48. Mallerman, J.; Itria, R.; Alarcón-Gutiérrez, E.; Hernández, C.; Saparrat, M. Exotic litter of the invasive plant Ligustrum lucidum alters enzymatic production and lignin degradation by selected saprotrophic fungi. Can. J. For. Res. 2018, 48, 709–720. [Google Scholar] [CrossRef] [Green Version]
  49. Aragón, R.; Sardans, J.; Peñuelas, J. Soil enzymes associated with carbon and nitrogen cycling in invaded and native secondary forests of northwestern argentina. Plant Soil 2014, 384, 169–183. [Google Scholar] [CrossRef] [Green Version]
  50. Hernández, D.L.; Hobbie, S.E. The effects of substrate composition, quantity, and diversity on microbial activity. Plant Soil 2010, 335, 397–411. [Google Scholar] [CrossRef]
  51. Hu, W.J. Study on the Litter Decomposition Dynamics and Effects of Solidago canadensis L. under Different Invasion Levels. Master’s Thesis, Jiangsu University, Zhenjiang, China, 2020. [Google Scholar]
  52. Weidenhamer, J.D.; Callaway, R.M. Direct and indirect effects of invasive plants on soil chemistry and ecosystem function. J. Chem. Ecol. 2010, 36, 59–69. [Google Scholar] [CrossRef] [PubMed]
  53. Wei, M.; Wang, S.; Wu, B.; Cheng, H.; Wang, C. Combined allelopathy of Canada goldenrod and horseweed on the seed germination and seedling growth performance of lettuce. Landsc. Ecol. Eng. 2020, 16, 299–306. [Google Scholar] [CrossRef]
  54. Cui, Y.; Fang, L.; Guo, X.; Wang, X.; Zhang, Y.; Li, P.; Zhang, X. Ecoenzymatic stoichiometry and microbial nutrient limitation in rhizosphere soil in the arid area of the northern loess plateau, China. Soil Biol. Biochem. 2018, 116, 11–21. [Google Scholar] [CrossRef]
  55. Duval, B.D.; Curtsinger, H.D.; Hands, A.; Martin, J.; McLaren, J.R.; Cadol, D.D. Greenhouse gas emissions and extracellular enzyme activity variability during decomposition of native versus invasive riparian tree litter. Plant Ecol. 2020, 221, 177–189. [Google Scholar] [CrossRef]
Figure 1. Variations in soil EEAs involved in carbon (C)-, nitrogen (N)-, and phosphorus(P)-acquiring across the S. canadensis invasion gradient sites (n = 4). Vertical bars indicate the standard error. SD= S. canadensis-dominated site; CD = co-dominant (S. canadensis and P. australis) site; PD = P. australis-dominant site; AG = α-glucosidase, BG = β-1,4-glucosidase; BX = β-1,4-xylosidase; NAG = β-1,4-N-acetylglucosaminidase; LAP= L-leucine aminopeptidase; AP = alkaline phosphatase; EEAC = C-acquisition enzymes; EEAN = N-acquisition enzymes. Different letters denote significant differences (p < 0.05) across the S. canadensis invasion gradient sites. * = significant at the level of p < 0.05, and ** = significant at the level of p < 0.01.
Figure 1. Variations in soil EEAs involved in carbon (C)-, nitrogen (N)-, and phosphorus(P)-acquiring across the S. canadensis invasion gradient sites (n = 4). Vertical bars indicate the standard error. SD= S. canadensis-dominated site; CD = co-dominant (S. canadensis and P. australis) site; PD = P. australis-dominant site; AG = α-glucosidase, BG = β-1,4-glucosidase; BX = β-1,4-xylosidase; NAG = β-1,4-N-acetylglucosaminidase; LAP= L-leucine aminopeptidase; AP = alkaline phosphatase; EEAC = C-acquisition enzymes; EEAN = N-acquisition enzymes. Different letters denote significant differences (p < 0.05) across the S. canadensis invasion gradient sites. * = significant at the level of p < 0.05, and ** = significant at the level of p < 0.01.
Sustainability 13 03768 g001
Figure 2. Result of redundancy analysis (RDA) and permutational multivariate analysis of variance (PERMANOVA) based on soil EEAs, microbial metabolic limitation indicators, and soil properties. EEAC:N = the ratio of soil extracellular C-acquisition enzymes to N-acquisition enzymes; EEAC:P = the ratio of soil extracellular C-acquisition enzymes to P-acquisition enzymes; EEAN:P = the ratio of soil extracellular N-acquisition enzymes to P-acquisition enzymes; VL = vector length; VA = vector angle; TERC:N = threshold elemental ratio of C to N; TERC:P = threshold elemental ratio of C to P; SM = soil moisture; CEC = cation exchange capacity; DOC = dissolved organic C; SIN = soil inorganic N; SAP = soil available P; STC:N = ratio of STC to STN; STC:P = ratio of STC to STP; STN:P = ratio of STN to STP; MBC:P = ratio of MBC to MBP; MBN:P = ratio of MBN to MBP.
Figure 2. Result of redundancy analysis (RDA) and permutational multivariate analysis of variance (PERMANOVA) based on soil EEAs, microbial metabolic limitation indicators, and soil properties. EEAC:N = the ratio of soil extracellular C-acquisition enzymes to N-acquisition enzymes; EEAC:P = the ratio of soil extracellular C-acquisition enzymes to P-acquisition enzymes; EEAN:P = the ratio of soil extracellular N-acquisition enzymes to P-acquisition enzymes; VL = vector length; VA = vector angle; TERC:N = threshold elemental ratio of C to N; TERC:P = threshold elemental ratio of C to P; SM = soil moisture; CEC = cation exchange capacity; DOC = dissolved organic C; SIN = soil inorganic N; SAP = soil available P; STC:N = ratio of STC to STN; STC:P = ratio of STC to STP; STN:P = ratio of STN to STP; MBC:P = ratio of MBC to MBP; MBN:P = ratio of MBN to MBP.
Sustainability 13 03768 g002
Figure 3. Result of variation partitioning analysis (VPA) showing the effects of soil physicochemical properties, microbial biomass properties, and resource ratios on soil EEAs and microbial metabolic limitation indicators. Soil physicochemical properties include SM, pH, CEC, DOC, and SAP; microbial biomass properties include ratio of MBC to MBP and ratio of MBN to MBP; resource ratios include ratio of STC to STN, ratio of STC to STP, and ratio of STN to STP.
Figure 3. Result of variation partitioning analysis (VPA) showing the effects of soil physicochemical properties, microbial biomass properties, and resource ratios on soil EEAs and microbial metabolic limitation indicators. Soil physicochemical properties include SM, pH, CEC, DOC, and SAP; microbial biomass properties include ratio of MBC to MBP and ratio of MBN to MBP; resource ratios include ratio of STC to STN, ratio of STC to STP, and ratio of STN to STP.
Sustainability 13 03768 g003
Figure 4. Cascading relationships of (a) microbial metabolism C limitation and (b) microbial metabolism N limitation with soil properties and EEAs. Partial least squares path modeling (PLS-PM) disentangling major pathways of the influences of soil properties and EEAs on microbial metabolism C limitation and microbial metabolism N limitation. Red and blue arrows indicate positive and negative flows of causality; * = significant at the level of p < 0.05, and ** = significant at the level of p < 0.01. Numbers on the arrow indicate significant standardized path coefficients.
Figure 4. Cascading relationships of (a) microbial metabolism C limitation and (b) microbial metabolism N limitation with soil properties and EEAs. Partial least squares path modeling (PLS-PM) disentangling major pathways of the influences of soil properties and EEAs on microbial metabolism C limitation and microbial metabolism N limitation. Red and blue arrows indicate positive and negative flows of causality; * = significant at the level of p < 0.05, and ** = significant at the level of p < 0.01. Numbers on the arrow indicate significant standardized path coefficients.
Sustainability 13 03768 g004
Table 1. Soil properties across the S. canadensis invasion gradient, presented as mean ± standard error (n = 4).
Table 1. Soil properties across the S. canadensis invasion gradient, presented as mean ± standard error (n = 4).
ParametersFpInvasion Gradient
SDCDPD
SM (w/w %)4.42*19.36 ± 0.57b24.46 ± 2.01a22.91 ± 0.51ab
pH3.07ns8.30 ± 0.018.20 ± 0.058.27 ± 0.02
CEC (cmolc kg−1)9.48**10.55 ± 0.02a10.38 ± 0.07b10.28 ± 0.03b
SOM (mg g−1 soil)1.16ns13.04 ± 0.9216.81 ± 2.8514.78 ± 0.49
DOC (×10−1 mg C g−1 soil)13.12**2.86 ± 0.04a2.66 ± 0.09b2.41 ± 0.03c
SOC (mg C g−1 soil)1.16ns7.56 ± 0.539.75 ± 1.658.57 ± 0.29
STC (mg C g−1 soil)1.41ns10.82 ± 0.5214.19 ± 2.2113.17 ± 1.09
SIN (×10−3 mg N g−1 soil)1.31ns2.24 ± 0.796.85 ± 0.787.67 ± 4.28
STN (mg N g−1 soil)1.56ns0.89 ± 0.041.15 ± 0.171.06 ± 0.03
SAP (×10−2 mg P g−1 soil)6.03*2.40 ± 0.16a2.69 ± 0.27a1.79 ± 0.09b
STP (×10−1 mg P g−1 soil)7.9*8.23 ± 0.24a7.15 ± 0.32b6.85 ± 0.20b
STC:N0.03ns12.21 ± 0.2312.35 ± 0.2212.34 ± 0.65
STC:P4.57*13.12 ± 0.25b19.72 ± 2.74a19.15 ± 1.10a
STN:P5.05*1.08 ± 0.03b1.60 ± 0.22a1.55 ± 0.02a
MBC (×10−1 mg C g−1 soil)1.16ns6.40 ± 2.303.65 ± 1.868.84 ± 2.95
MBN (×10−2 mg N g−1 soil)1.31ns2.45 ± 0.441.28 ± 0.441.84 ± 0.62
MBP (×10−2 mg P g−1 soil)1.09ns1.36 ± 0.271.56 ± 0.412.12 ± 0.43
MBC:N0.89ns27.49 ± 9.8132.25 ± 9.0258.79 ± 28.04
MBC:P0.7ns50.70 ± 14.7123.82 ± 7.2053.94 ± 29.96
MBN:P0.62ns2.58 ± 1.281.51 ± 1.001.08 ± 0.47
SD = S. canadensis-dominated site; CD = co-dominant (S. canadensis and P. australis) site; PD = P. australis-dominant site; SM = soil moisture; CEC = cation exchange capacity; SOM = soil organic matter; DOC = dissolved organic carbon (C); SOC = soil organic C; STC = soil total C; SIN = soil inorganic nitrogen (N); STN = soil total N; STP = soil total phosphorus (P); SAP = soil available P; STC:N = ratio of STC to STN; STC:P = ratio of STC to STP; STN:P = ratio of STN to STP; MBC = soil microbial biomass C; MBN = soil microbial biomass N; MBP = soil microbial biomass P; MBC:N = ratio of MBC to MBN; MBC:P = ratio of MBC to MBP; MBN:P = ratio of MBN to MBP. Different letters denote significant differences (p < 0.05) across the invasion gradient of S. canadensis. ns = not significant at the level of p > 0.05; * = significant at the level of p < 0.05; and ** = significant at the level of p < 0.01.
Table 2. Soil extracellular ecoenzymatic stoichiometry indicators across the S. canadensis invasion gradient, presented as mean ± standard error (n = 4).
Table 2. Soil extracellular ecoenzymatic stoichiometry indicators across the S. canadensis invasion gradient, presented as mean ± standard error (n = 4).
ParametersFpInvasion Gradient
SDCDPD
EEAC:N1.63ns1.02 ± 0.140.84 ± 0.091.27 ± 0.24
EEAC:P5.07*8.66 ± 1.01a7.36 ± 0.50ab5.26 ± 0.69b
EEAN:P2.93ns9.30 ± 2.139.29 ± 1.724.45 ± 0.73
VL4.81*8.73 ± 1.00a7.41 ± 0.49ab5.42 ± 0.70b
VA (°)5.97*7.12 ± 1.54b6.64 ± 0.90b13.63 ± 2.11a
TERC:N1.16ns1.80 ± 0.661.74 ± 0.475.99 ± 3.84
TERC:P1.14ns4.34 ± 1.481.74 ± 0.622.69 ± 1.42
EEAC:N = the ratio of soil extracellular C-acquisition enzymes to N-acquisition enzymes; EEAC:P = the ratio of soil extracellular C-acquisition enzymes to P-acquisition enzymes; EEAN:P = the ratio of soil extracellular N-acquisition enzymes to P-acquisition enzymes; VL = vector length; VA = vector angle; TERC:N = threshold elemental ratio of C to N; TERC:P = threshold elemental ratio of C to P. Different letters denote significant differences (p < 0.05) across the invasion gradient of S. canadensis. ns = not significant at the level of p > 0.05; * = significant at the level of p < 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hu, Z.; Li, J.; Shi, K.; Ren, G.; Dai, Z.; Sun, J.; Zheng, X.; Zhou, Y.; Zhang, J.; Li, G.; et al. Effects of Canada Goldenrod Invasion on Soil Extracellular Enzyme Activities and Ecoenzymatic Stoichiometry. Sustainability 2021, 13, 3768. https://doi.org/10.3390/su13073768

AMA Style

Hu Z, Li J, Shi K, Ren G, Dai Z, Sun J, Zheng X, Zhou Y, Zhang J, Li G, et al. Effects of Canada Goldenrod Invasion on Soil Extracellular Enzyme Activities and Ecoenzymatic Stoichiometry. Sustainability. 2021; 13(7):3768. https://doi.org/10.3390/su13073768

Chicago/Turabian Style

Hu, Zhiyuan, Jiating Li, Kangwei Shi, Guangqian Ren, Zhicong Dai, Jianfan Sun, Xiaojun Zheng, Yiwen Zhou, Jiaqi Zhang, Guanlin Li, and et al. 2021. "Effects of Canada Goldenrod Invasion on Soil Extracellular Enzyme Activities and Ecoenzymatic Stoichiometry" Sustainability 13, no. 7: 3768. https://doi.org/10.3390/su13073768

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop