A common hypothesis to explain the effect of litter mixing is based on the difference in litter N content between mixed species. Although many studies have shown that litter of invasive non-native plants typically has higher N content than that of native plants in the communities they invade, there has been surprisingly little study of mixing effects during plant invasions. We address this question in south China where Mikania micrantha H.B.K., a non-native vine, with high litter N content, has invaded many forested ecosystems. We were specifically interested in whether this invader accelerated decomposition and how the strength of the litter mixing effect changes with the degree of invasion and over time during litter decomposition. Using litterbags, we evaluated the effect of mixing litter of M. micrantha with the litter of 7 native resident plants, at 3 ratios: M1 (1∶4, = exotic:native litter), M2 (1∶1) and M3 (4∶1, = exotic:native litter) over three incubation periods. We compared mixed litter with unmixed litter of the native species to identify if a non-additive effect of mixing litter existed. We found that there were positive significant non-additive effects of litter mixing on both mass loss and nutrient release. These effects changed with native species identity, mixture ratio and decay times. Overall the greatest accelerations of mixture decay and N release tended to be in the highest degree of invasion (mix ratio M3) and during the middle and final measured stages of decomposition. Contrary to expectations, the initial difference in litter N did not explain species differences in the effect of mixing but overall it appears that invasion by M. micrantha is accelerating the decomposition of native species litter. This effect on a fundamental ecosystem process could contribute to higher rates of nutrient turnover in invaded ecosystems.
Citation: Chen B-M, Peng S-L, D’Antonio CM, Li D-J, Ren W-T (2013) Non-Additive Effects on Decomposition from Mixing Litter of the Invasive Mikania micrantha H.B.K. with Native Plants. PLoS ONE 8(6): e66289. https://doi.org/10.1371/journal.pone.0066289
Editor: Andrew Hector, University of Zurich, Switzerland
Received: November 14, 2012; Accepted: May 8, 2013; Published: June 20, 2013
Copyright: © 2013 Chen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by National Natural Science Foundation of China (31070481, 31030015) and Doctoral Foundation of Ministry of Education of China (20100171120030). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
In nature, litter of different plant species is typically mixed and the mixtures decompose together. Most studies have shown that mixing different litter species causes litter mixtures to lose mass at different rates than expected from component species incubated in isolation , , . Non-additive effects are often calculated by comparing observed dynamics of decomposition in litter mixtures with predictions of mass loss, or nutrient concentration change calculated from measured decay rates for each component litter decaying alone . Litter mixing effects may be caused by chemical interactions between the component litters, by changes in the micro-environment in which the litter is decomposed – or by changes in diversity of associated microorganisms and detritivores . Litter mixing studies have focused on detecting these non-additive effects, both in terms of nutrient content of litter , ,  and nutrient release from the litter , . A review by Gartner & Cardon  concluded that mixing of litter often accelerates decomposition with differences between observed and expected mass loss ranging from 1% to 65%. Some studies however, showed that litter mixing can slow decomposition from 1.5% to 22%  and indeed a range of results have been found across studies worldwide depending on which litter is mixed together .
Biological invasions are recognized as a major driver of altered ecosystem services across the globe. Successful invasive species have potential to influence the nutrient cycling process of the invaded ecosystem, which in turn can affect native plant communities , . It has been well documented that litter quality or initial litter chemical components (e.g. N, C/N ratio etc.) are critical factors affecting decomposition rate –. Exotic plant invaders often maintain higher litter N concentrations and lower C:N and tend to decompose more rapidly and release more nitrogen to the soil than native species , , . They also appear to increase litter decomposition rates over all . It has been proposed that acceleration of decomposition of resident litter as an invader enters a forest may contribute to higher rates of N transformation which in turn could benefit the invader .
Liao et al.  found that, plant invasion increases litter decomposition rate, probably associated with higher plant nitrogen concentration in the invader compared to natives . Litter of invasive plants is often mixed with litter of native plant species in the invaded ecosystem. Yet most studies of invader versus native litter decomposition are done on unmixed litter . Thus, studying the effect of mixing litter of non-native and native plants may bring new insight to into both our understanding of why litter mixing effects occur, and how ecosystem impacts from invading plants develop. The invading plants could be native or non-native. What we do not understand is how mixing effects change over the time course of an invasion. We address these questions in forest environments in south China where Mikania micrantha H.B.K. (thereafter as M. micrantha), a non-native vine in the Asteraceae, has abundantly invaded many forests where it alters ecosystem processes . This species is native to tropical Central and South America, is a pest in plantation crops and commercial forests from Mauritius to West Africa and across Asia and it is recognized as one of the top 10 worst weeds in the world . It has been called “mile-a-minute” weed because of its vigorous growth habit , . Once established, it is able to kill nearby plants by reducing light and altering soil microbial communities and mineral cycling . While in an invaded mixed community, its stem-leaf biomass ratio (10∶1) is much higher than that in a monotypic M. micrantha stand presumably because it allocates more biomass to stems for climbing neighbor plants where they are present . Our previous studies have shown that M. micrantha has higher N and lower C than natives and resulted in lower C:N litter relative to natives in invaded sites , . Therefore, we predicted there would be positive non-additive effects when litter of M. micrantha was combined with native species.
Several studies have demonstrated that the non-additive effects are different during different periods in the decomposition of a litter cohort , . This is due to changes in concentrations of water soluble nutrients and structural carbohydrates during different stages of decay , , . In addition, as an invasion proceeds, the relative amount of the invaders litter changes potentially altering the way in which the mixed pool of litter decays.
In this study, we evaluate the following questions: (1) Do positive non-additive effects occur when litter of M. micrantha is mixed with litter of native species? (2) How do the non-additive mixing effects change with different mixing ratios of the litter species? and (3) Do the non-additive mixing effects change over the time course of the litter decomposition process? To test the effects of the mixing M. micrantha litter with native litter we compared single-species litter decomposition and C and N concentration for 7 native species with those of mixed litter of M. micrantha with each individual native litter type (3 different ratio-mixtures of the native and M. micrantha) after 3 decomposition durations (60 days, 128 days, and 180 days decay).
Materials and Methods
All necessary permits to collect plant material, to treat soil and bury litterbags in the study field were obtained from Dinghushan Forest Experimental Station.
We selected 7 resident native evergreen tree species (Ficus virens, Litsea glutinosa, Cinnamomum camphora, Acacia confusa, Pinus massoniana, Schima superba, Castanopsis chinensis) to study the litter mixing effect with M. micrantha based on a study by Zhou et al.  from the same site in Guangdong Province. Freshly senesced leaf litter of each resident native species was collected between December 2005 and January 2006. A detailed description of the chemical characteristics of the 7 species litter can be found in Table 1. Litter of M. micrantha was mostly vine/stem with few leaves as is typical for this species in a mixed forest setting : in an invaded mixed community, its stem-leaf biomass ratio is 10∶1. Mikania micrantha stems were cut as 4–5 cm pieces in order to mix with litter of the 7 native species. The collected litter was air dried and mixed with each species according to treatment. Simultaneously, subsamples were oven dried and ground into powder using a basic analytical mill (IKA, Germany). The initial litter concentrations of C and N were then determined by dry combustion on a CHNS analyzer (Vario El, Germany).
We used a buried litterbag technique to quantify litter decomposition. Single-species litterbags were used to generate decomposition rates and N and C release for pure litter. These rates were used as a baseline for comparison with mixed-species litter-bags to determine if interaction effects occurred when litter of different species was mixed. In order to measure the mixture effect on litter decomposition and nutrient release at different degrees of M. micrantha invasion, litter of M. micrantha was mixed with the above 7 native plants respectively at the following ratios: M1 (1∶4, exotic:native), M2 (1∶1) and M3 (4∶1). These three ratios are hereafter referred to as the low (M1), medium (M2), and high (M3 )degrees of invasion. Total litter mass/bag was 10 g with 12 replicate bags per species and per species mixture. There were 4 replicate bags for each combination of mixture and sampling date.
To reduce the effect of habitat variability on decomposition dynamics, we selected a flat open area in a subtropical forest area of Dinghushan Forest Experimental Station (N23°10', E112°10'), southern China, where the annual relative humidity is 80%, the mean annual temperature is 21°C, and the mean annual rainfall is 1927 mm. The litter layer in the forest was moved aside and the top 20 cm of soil mixed to create a homogenous environment across the area where the bags were to be set out. Nylon-net bags (15 cm×20 cm, 1 mm mesh) containing air dried litter were buried horizontally at a shallow depth (approx. 5 cm) as others have done , , . All the litterbags were buried at the beginning of April 2006 with a randomized block design. Four litterbag of each type were retrieved after 60 d, 128 d, 180 d decay. These were brushed lightly to remove soil and roots, rinsed, dried at 60°C, and dry mass determined. The litter was ground and analyzed for C and N content as described above. Mass loss and N concentration data were used to calculate changes in the absolute amount of N (net immobilization or release).
Observed litter mass loss (%) of both single-species and mixed-species was calculated as below:
Observed litter mass loss (%) = (Mlb–Mla)/Mlb × 100 (1).
Where, Mlb: Litter mass in the litterbags before decomposition, Mla: Litter mass remaining after decomposition.
To determine whether interactions in litter mixtures occurred, we compared the predicted mass loss, using the mass loss from the single-species litterbags of the component species adjusted for proportional weight in the mix to the actual value observed for mixture. This was calculated as follows ,  where PLML stands for Predicted Litter Mass Loss:
PLML % = [Mnat/(Mnat+Mnon) × LMLnat+Mnon/(Mnat+Mnon) × LMLnon] (2).
In this equation, LMLnat and LMLnon are the litter mass loss (%) of single-species litterbag of native species and non-native species respectively, and Mnat and Mnon are the initial litter dry mass of these species in the mixture.
The strength of the mixed litter decomposition interaction is defined as :
= 1– (observed/predicted remaining mass) (3).
In the absence of a mixture interaction the value of these parameters should be (close to) zero. As we used the remaining mass in the calculations, positive and negative interactions would yield values that are respectively greater or smaller than zero. A positive value indicates facilitation (faster decomposition observed than predicted value), while a negative value indicates inhibition. Stronger mixture interactive effects would lead to a greater departure from zero (either positive or negative).
Mixing strength values for carbon and for nitrogen were calculated in a similar manner to the mixing strength values for mass loss. The details are shown in Appendix S1.
The litter mass loss for the 8 individual species calculated for each of the collection times (60, 128 and 180 days). Litter mass loss of single species over each of the 3 decay times was tested with one-way ANOVA at P<0.05. For each mixture we tested whether the interactions (mixing effects) differed significantly from zero using one sample t-tests, and a significance value of P<0.01 (indicated by ** on graphs), P<0.05 (*) and P<0.10 (#). In order to know the differences in mixing interaction strength between litter types (species), decay ratio over time, as well as the interactions between the factors, we used mixed effect model with mixture type (species) and mixing ratio as fixed effects and decay time as a random effect. All analyses were performed using SPSS 18.0 for Windows (SPSS, Chicago, Illinois, USA).
Single-species Litter Mass Loss
There were significant differences in single-species litter mass loss among the 8 species (Figure 1, Table S1). Using average decay times across the three intervals, the native species Ficus virens had the greatest litter mass loss, M. micrantha was the second, followed by A. confusa, L. glutinosa, C. camphora, C. chinensis, S. superba, and the lowest was P. massoniana.
Mixing Effect on Litter Mass Loss
The results showed that there are significant non-additive mixing effects on litter mass loss with all mixture species and under the 3 mixing ratios. All species responded similarly to mixing ratio (species×ratio interaction P = 0.280, F12,229 = 1.206, Table 2, Figure 2). Most non-additive effects of mixing ratio M1 (low degree of invasion) are negative during the first 60 days decay (Figure 2A), but after 128 and 180 days, most are positive except P. massoniana. P. massoniana behaved similarly to the other species at the early and middle stages of decomposition but showed inhibition of decomposition in the mixture after 180 days decay (Figures 2B and 2C). Non-additive effects were largely positive for all species in all decay periods in the medium and higher invasion mixtures (Figure 2A). These two higher ratios of invasion (M2 & M3) did not differ in their degree of non-additivity.
M1 (1∶4, mixture with 20% exotic litter), M2 (1∶1) and M3 (4∶1, mixture with 80% exotic litter) represent 3 different litter mixing ratio of M. micrantha to native species. Non-additive interactions are significantly different from zero with (**) at P<0.01, (*) at P<0.05, and with (#) at P<0.10 tested separately with one sample t test. See Table S4 for observed litter mass loss.
Mixing Effect on Litter N and C Release
As with litter mass loss, most non-additive effects from litter mixing are negative during the first 60 days decay (Figure 3A), that is, N release in mixture was delayed compared to the species alone. However, after 128 and 180 days of decay, most effects are positive although P. massoniana again showed negative effects after 180 days decay (Figures 3B and 3C). The mixing effect on N release varied with species and mixture ratio but the species × ratio interaction was not significant for N release (Table 2, Figure 3). The acceleration of litter N decay by mixing (any ratio) was strongest during the second decay period (Figure 3).
M1 (1∶4, mixture with 20% exotic litter), M2 (1∶1) and M3 (4∶1, mixture with 80% exotic litter) represent 3 different litter mixing ratio of M. micrantha to native species. Non-additive interactions are significantly different from zero with (**) at P<0.01, (*) at P<0.05, and with (#) at P<0.10 tested separately with one sample t test. See Table S5 for observed N release.
As with N release, there were significant non-additive effects of litter mixing on C release in all of the 7 mixture species, but there was no consistent effect of the mixing ratios nor did native species identity affect whether mixing ratio was significant (Table 2). As with N, most non-additive effects of litter mixing were negative during the first 60 days decay (Figure 4A), but during the second and third decay periods C release was accelerated in all mixtures with strong net positive effects in the second period that declined somewhat during the third period (Figures 4B and 4C).
M1 (1∶4, mixture with 20% exotic litter), M2 (1∶1) and M3 (4∶1, mixture with 80% exotic litter) represent 3 different litter mixing ratio of M. micrantha to native species. Non-additive interactions are significantly different from zero with (**) at P<0.01, (*) at P<0.05, and with (#) at P<0.10 tested separately with one sample t test. See Table S6 for observed C release.
Relationship between Mixing Effect and Initial Litter N Content
Contrary to predictions, there were no significant correlations between the strength of the mixing effect on litter mass loss, N release or C release and difference in initial single litter N content between the native species and M. micrantha. Mikania was higher in N and lower in C/N of all residents. Likewise there were no significant correlations between the strength of the mixing effect and the difference in C/N ratio of residents versus M. micrantha at any of the 3 collection dates for any of the measured parameters (Table S2).
Overall Results of Non-additive Effects
In order to understand the general results of mixing on litter mass loss, N release and C release among species the average value of litter mixing interaction strength was calculated for each species by averaging across ratios and times. Similarly, to compare mixing ratios with each other, the average value of litter mixing interaction strength of each mixing ratio was calculated by averaging across all mixture types and decay times. To evaluate the importance of decay time, the average value was calculated across all mixture types and mixing ratios. Among the 3 mixing ratios, the mixing effects on litter mass loss and C release were the highest under M3 (high degree of invasion), while the strongest effect on litter N release was under M2 (medium degree of invasion) (Table S3). Across the different decay times, the non-additive mixing effects were consistently the highest in the middle decay period (128 days, Table S3).
Non-additive Effect of Litter Mixing on Litter Mass Loss and Nutrient Release
Our experiment was designed to provide insight into the outcome of forest invasion by M. micrantha in terms of decomposition of native species leaf litter. We found that 63.5% of litter mixtures showed non-additive effects on litter mass loss (marked with star in Figure 2). Among the mixtures with non-additive effects, 87.5% were positive for litter mass loss demonstrating that invasion is accelerating litter decomposition of the native species (Figure 2). Acceleration was seen even at the lowest level of invasion measured (20% exotic litter) for most species by middle and final decay periods.
A review by Gartner & Cardon  concluded that non-additive effects were more common than not with 66.7% of 162 mixtures showing non-additive effects on litter mass loss. The observed mass loss in some mixtures was as much as 65% more rapid than expected from single-species litter, but more often mass loss in mixtures exceeded expected decay by ≤20%. Gartner & Cardon  also found that nutrient transfer among leaves of different species is striking, with 76% of 123 mixtures showing non-additive dynamics of nutrient concentrations. In our present study, the average mixing effect on litter mass loss was 28%, consistent with the Gartner & Cardon findings  and the greatest non-additive effect on litter mass loss was 0.81 (Figure 2C-species A. confusa-ratio M3). Interestingly, this was an N-fixing tree in a genus shown elsewhere to contribute to enhanced soil N cycling , .
It has been shown that mesh size of litterbags can influence decay processes by altering entry of soil fauna . In the present study, 1 mm mesh size was used, a size which excludes large macro-detritivores which selectively can feed on one of the species in a mixture. This potentially may alter the outcome of interactions between litter species in a mixture possibly by slowing decomposition. During the harvest of litterbags, we observed that there were more earthworms surrounding the litterbags containing litter of M. micrantha than those bags without M. micrantha litter (e.g. native single-species litterbags). Other studies of invading plants have found that earthworm densities are enhanced beneath some N rich species , . A meta-analysis of effects of litter diversity (mixing) versus consumer (detritivore) diversity on overall decomposition rates demonstrated that detritivore diversity plays a more important role in decomposition rates than does litter diversity . We did not quantify differences in the microbial or invertebrate communities between our litter mixtures but the relatively consistent accelerated decomposition in our mixed litterbags suggests that even without macro-detritivores, this invasion accelerates decomposition of native species. Gessner et al.  review evidence that substrate diversity promotes microbial diversity during decomposition and Ashton et al.  suggest that increased substrate diversity as during invasion could enhance microbial efficiency during decomposition. Also in this system, enhanced substrate diversity, could promote either increased detritivore diversity or enhanced detritivore activity (e.g. earthworm foraging) either of which could accelerate decomposition , . In natural conditions, the non-additive effects of this invasion on litter decomposition are likely even greater than we measured since no mesh would be present to block macro-detritivores (e.g. earthworm).
Litter Mixing Effect and Initial Litter N Content
We found that the plant species used in the litter mixture significantly influenced the strength and direction of the non-additive effects (Table 2). One hypothesis explaining the effect of litter mixing is based on the difference of litter N content between the mixed species , . Some studies have suggested that litter mixture effects might be greater when the component species differ greatly in their litter nutrient concentration , . Wardle et al.  for example, found that when litter of plants with high nitrogen status were mixed, synergistic interactions between species causing enhanced decomposition were more likely. Our data however, do not support the hypothesis that the non-additive effect of mixing can be predicted by initial differences in %N (Table S2). Thus factors other than N are likely to be important. For example, we found that the biggest difference in N content between M. micrantha and a native litter type was with P. massoniana (Table 1). Yet the mixing effect of P. massoniana with M. micrantha, was not the strongest non-additive effect in litter mass loss and nutrient release and was often negative (Table S3). We believe that this is due to polyphenolic compounds found in litter of P. massoniana  and that these might be slowing the decomposition process in the entire mix. It has been reported that polyphenols complex with proteins in leaf material forming polyphenol-protein complexes, which are resistant to most decomposing organisms, and consequently slow down decomposition , .
Overall our results showed there was no significant correlation between the mixing effect on litter mass loss, N release and C release and the difference in initial single litter N content between the mixed species or the difference in their C/N ratio over the 3 decomposition times (Table S2). Other studies have also found that interactions in litter mixtures are unrelated to differences in litter chemistry between the mixed species . Although nutrient transfer was not measured here and there was no significant correlation between mixing effect and litter initial components, nutrient transfer could have occurred. Mikania micrantha is higher in N content than any of the natives (Table 1) so N transfer could be important. Nutrient transfer might be influenced by P (often important for microbial driven decomposition), Mn or other elements in the litter  which we did not measure. In addition, physical conditions (e.g. soil water content) and litter physical traits (e.g. water hold capacity) might result in non-additive effects , . In the present study, soil water content was measured when we harvested the litterbags, and the results showed that there is no significant difference in soil water content around the various litterbags (data not shown) and moisture content was high overall due to the plentiful rainfall (mean annual precipitation 1927 mm) in this subtropical area in southern China. This suggests that soil water content is unlikely to be an important factor contributing to the non-additive effects measured.
Litter Mixture Ratio and Temporal Effects
Past researchers have generally used mixtures containing equal masses of each component litter type , with a few exceptions , , . Only a few studies evaluated the importance of an invader on decomposition of existing native tree leaf litter using a mixture ratio typical of what was found on the forest floor of an invaded site , . The present experiment was designed using 3 mixing ratios, which permitted us to determine the magnitude of potential effects of litter mixing as when an invader becomes abundant in an ecosystem.
Changes in species relative abundance of leaf litter mixtures can affect mixture decomposition , . In the present study, the non-additive effects on litter mass loss were highest under M3 (exotic litter dominant). Yet mixtures containing equal masses of each species (M2) showed the strongest interaction strength for N release. It has been well documented that higher N content and lower C-N ratio litter will decompose faster . Mixtures containing more litter of M. micrantha with higher N and lower C-N ratio should thus accelerate the litter mass loss of the entire litter mixture as we observed. However, for N release it is unclear why the acceleration of N release was greatest in M2 but it suggests that trait evenness may be important in generating non-additive effects. It is also possible that after the invader comes to dominate a site such as we mimicked in our M3 treatment, microbial and detritivore activity may decline as the native inputs decline.
Our study is consistent with other studies that report that the litter mixing effects varies over the course of decay , . Non-additive effects were typically negative in the initial decay period, a time period in decomposition when immobilization of nutrients can be high . Non-additive effects reached their highest positive values during the middle period (with the exception of P. massoniana, Figures 2, 3, 4). This delay could be due to both the immobilization of nutrients early on and the time needed for detritivores to accumulate or for microbial diversity to track substrate diversity . The empirical relationship between detritivore diversity, litter diversity and time has been poorly studied in terrestrial ecosystems .
Implications for Invasion
To manage non-native invasive species or restore invaded ecosystems, it is necessary to understand the mechanisms through which invasive plant species may alter an invaded ecosystem. Most previous studies of the impacts of invasive plant on the invaded ecosystem have focused on their effects on litter production, chemistry and single species decay rates , , , . However, evaluation of the dependence of decomposition on the mixing ratio of invader litter with residents provides insight into understanding the time course of changes in nutrient cycling following invasion. In a litter mixture of invasive and native species, decomposer organisms may preferentially exploit a higher quality invasive litter, allowing nutrient transfer to the lower quality native litter, leading to a more rapid, synergistic decomposition of the entire mixture  a dynamic we observed. If M. micrantha depends on high N availability to maintain high growth rates, then acceleration of litter decomposition as it invades could ultimately aid in sustaining these growth rates. Our data suggest that the greatest acceleration of mixture decay and N release tended to be in the higher degrees of invasion (M2 & M3)(Tables S4, S5 and S6). If this is a positive feedback to M. micrantha success then this feedback appears to increase as invasion progresses. Mikania micrantha invasion into forest patches can occur very rapidly ,  and it may be that the accelerated breakdown of native forest litter in the presence of this invader, contributes to the facilitation of this invasion. Few studies document longterm impacts of invaders . Yet as native species decline in an ecosystem, litter diversity and associated organisms should also decline which could further influence decompositional dynamics.
The analyses of litter mass loss among 8 single species over each decay time by ANOVA.
Pearson coefficients between mixing effect of litter mass loss, N, C release with the difference in initial single litter N content and C/N ratio.
Overall results of mixing effect on litter mass loss, N release and C release between litter mixing types, between mixing ratios, between decay time.
We thank Prof. Zhong-Liang Huang, Prof. Jiang-Ming Mo for comments on the field work. We are grateful to the Dinghushan Forest Ecosystem Research Station. We thank the Biogeosciences group at Univ. of California, Santa Barbara for feedback during data analysis.
Conceived and designed the experiments: BMC SLP. Performed the experiments: BMC WTR. Analyzed the data: BMC DJL CMD. Contributed reagents/materials/analysis tools: BMC SLP. Wrote the paper: BMC CMD.
- 1. Blair JM, Parmelee RW, Beare MH (1990) Decay rates, nitrogen fluxes, and decomposer communiies of single-and mixed-species foliar litter. Ecology 71: 1976–1985.
- 2. Gartner TB, Cardon ZG (2004) Decomposition dynamics in mixed-species leaf litter. Oikos 104: 230–246.
- 3. Lecerf A, Marie G, Kominoski JS, LeRoy CJ, Bernadet C, et al. (2011) Incubation time, functional litter diversity, and habitat characteristics predict litter-mixing effects on decomposition. Ecology 92: 160–169.
- 4. Hättenschwiler S, Tiunov AV, Scheu S (2005) Biodiversity and Litter Decomposition in Terrestrial Ecosystems. Annu Rev Ecol Evol Syst 36: 191–218.
- 5. Schimel JP, Hättenschwiler S (2007) Nitrogen transfer between decomposing leaves of different N status. Soil Biol Biochem 39: 1428–1436.
- 6. Gessner MO, Swan CM, Dang CK, McKie BG, Bardgett RD, et al. (2010) Diversity meets decomposition. Trends in Ecology and Evolution 25: 372.380.
- 7. Smith VC, Bradford MA (2003) Do non-additive effects on decomposition in litter-mix experiments result from differences in resource quality between litters? Oikos 102: 235–242.
- 8. Hoorens B, Aerts R, Stroetenga M (2003) Does initial litter chemistry explain litter mixture effects on decomposition? Oecologia 137: 578–586.
- 9. Rosemond AD, Swan CM, Kominoski JS, Dye SE (2010) Non-additive effects of litter mixing are suppressed in a nutrient-enriched stream. Oikos 119: 326–336.
- 10. Ball BA, Bradford MA, Hunter MD (2009) Nitrogen and phosphorus release from mixed litter layers is lower than predicted from single species decay. Ecosystems 12: 87–100.
- 11. Kourtev PS, Ehrenfeld JG, Häggblom M (2002) Exotic plant species alter the microbial community structure and function in the soil. Ecology 83: 3152–3166.
- 12. Ehrenfeld JG (2003) Effects of exotic plant invasions on soil nutrient cycling processes. Ecosystems 6: 503–523.
- 13. Aerts R (1997) Climate, leaf litter chemistry and leaf litter decomposition in terrestrial ecosystems: A triangular relationship. Oikos 79: 439–449.
- 14. Klotzbucher T, Kaiser K, Guggenberger G, Gatzek C, Kalbitz K (2011) A new conceptual model for the fate of lignin in decomposing plant litter. Ecology 92: 1052–1062.
- 15. Melillo JM, Aber JD, Muratore JE (1982) Nitrogen and lignin control of hardwood leaf litter decomposition dynamics. Ecology 63: 621–626.
- 16. Taylor BR, Parkinson D, Parsons WFJ (1989) Nitrogen and lignin content as predictors of litter decay rates: a microcosm test. Ecology 70: 97–104.
- 17. Hättenschwiler S, Jørgensen HB (2010) Carbon quality rather than stoichiometry controls litter decomposition in a tropical rain forest. J Ecol 98: 754–763.
- 18. Allison SD, Vitousek PM (2004) Rapid nutrient cycling in leaf litter from invasive plants in Hawai’i. Oecologia 141: 612–619.
- 19. Ashton IW, Hyatt LA, Howe KM, Gurevitch J, Lerdau MT (2005) Invasive species accelerate decomposition and litter nitrogen loss in a mixed deciduous forest. Ecol App 15: 1263–1272.
- 20. Liao C, Peng R, Luo Y, Zhou X, Wu X, et al. (2008) Altered ecosystem carbon and nitrogen cycles by plant invasion: a meta-analysis. New Phytol 177: 706–714.
- 21. Eppinga MB, Kaproth MA, Collins AR, Molofsky J (2011) Litter feedbacks, evolutionary change and exotic plant invasion. J Ecol 99: 503–514.
- 22. Zhang L, Ye W, Cao H, Feng H (2004) Mikania micrantha HBK in China–an overview. Weed Res 44: 42–49.
- 23. Holm LG, Plucknett DL, Pancho JV, Herberger JP (1977) The World’s Worst Weeds: Distribution and Biology, 320. University Press of Hawaii, Honolulu, USA.
- 24. Waterhouse DF (1994) Biological Control of Weeds: Southeast Asian Prospects, 125. ACIAR, Canberra, Australia.
- 25. Huang ZL, Cao HL, Liang XD, Ye WH, Feng HL, et al.. (2000) The growth and damaging effect of Mikania micrantha in different habitats. J Trop and Subtrop Bot : 131–128.
- 26. Chen BM, Ni GY, Ren WT, Peng SL (2007) Effects of aqueous extracts of Mikania micrantha on litter decomposition of native plants in South China. Allelopathy J 20: 307–314.
- 27. Chen BM, Peng SL, Chen LY, Li FR, Wang GX (2009) Effects of aqueous extracts of Mikania micrantha HBK on nutrients release from the forests litter at three succession stages in south China. Allelopathy J 23: 453–460.
- 28. Prescott C, Zabek L, Staley C, Kabzems R (2000) Decomposition of broadleaf and needle litter in forests of British Columbia: influences of litter type, forest type, and litter mixtures. Can J For Res 30: 1742–1750.
- 29. Berg B, Staaf H (1980) Decomposition rate and chemical changes of Scots pine needle litter. II. Influence of chemical composition. Ecol Bull 32: 373–390.
- 30. Berg B (2000) Litter decomposition and organic matter turnover in northern forest soils. For Ecol Manage 133: 13–22.
- 31. Berg B, McClaugherty C (2008) Plant Litter: Decomposition, Humus Formation, Carbon Sequestration, 2nd edn. Springer Verlag Heidelberg, Berlin.
- 32. Zhou XY, Zan QJ, Wang YJ, Li MG, Liao WB, et al. (2003) The transmission and damaging effect of Mikania micrantha in Guangdong province of China. Ecol Sci 22(4): 332–336.
- 33. McClaugherty CA, Pastor J, Aber JD, Melillo JM (1985) Forest litter decomposition in relation to soil nitrogen dynamics and litter quality. Ecology 66: 266–275.
- 34. Austin AT, Araujo PI, Leva PE (2009) Interaction of position, litter type, and water pulses on decomposition of grasses from the semiarid Patagonian steppe. Ecology 90, 2642–2647.
- 35. Bragazza L, Iacumin P, Siffi C, Gerdol R (2010) Seasonal variation in nitrogen isotopic composition of bog plant litter during 3 years of field decomposition. Biol Fertil Soils 46: 877–881.
- 36. Stock W, Wienand K, Baker A (1995) Impacts of invading N2-fixing Acacia species on patterns of nutrient cycling in two Cape ecosystems: evidence from soil incubation studies and 15N natural abundance values. Oecologia 101: 375–382.
- 37. Yelenik S, Stock W, Richardson D (2004) Ecosystem level impacts of invasive Acacia saligna in the South African fynbos. Rest Ecol 12: 44–51.
- 38. Wang SJ, Ruan HH, Han Y (2010) Effects of microclimate, litter type, and mesh size on leaf litter decomposition along an elevation gradient in the Wuyi Mountains, China. Ecol Res 25: 1113–1120.
- 39. Aplet G (1990) Alteration of earthworm community biomass by the alien Myrica faya in Hawai'i. Oecologia 82: 414–416.
- 40. Heneghan L, Steffen J, Fagen K (2007) Interactions of an introduced shrub and introduced earthworms in an Illinois urban woodland: impact on leaf litter decomposition. Pedobiologia 50: 543–551.
- 41. Srivastava DS, Cardinale BJ, Downing AL, Duffy JE, Jouseau C, et al. (2009) Diversity has stronger top-down than bottom-up effects on decomposition. Ecology 90: 1073–1083.
- 42. Kourtev P, Huang W, Ehrenfeld J (1999) Differences in earthworm densities and nitrogen dynamics in soils under exotic and native plant species. Biological Invasions 1: 237–245.
- 43. Liu Z, Zou X (2002) Exotic earthworms accelerate plant litter decomposition in a Puerto Rican pasture and a wet forest. Ecol Appl 12: 1406–1417.
- 44. Salamanca EF, Kaneko N, Katagiri S (1998) Effects of leaf litter mixtures on the decomposition of Quercus serrata and Pinus densiflora using field and laboratory microcosm methods. Ecol Eng 10: 53–73.
- 45. Wardle D, Bonner K, Nicholson K (1997) Biodiversity and plant litter: experimental evidence which does not support the view that enhanced species richness improves ecosystem function. Oikos 79: 247–258.
- 46. Quested HM, Press MC, Callaghan TV, Cornelissen HJ (2002) The hemiparasitic angiosperm Bartsia alpina has the potential to accelerate decomposition in sub-arctic communities. Oecologia 130: 88–95.
- 47. Sheng ZB, Theander O (1987) Studies on the phenolic constituents from pine needles of pinus massoniana. Biomass Chemical Engineering 6: 2–7.
- 48. Palm C, Sanchez P (1990) Decomposition and nutrient release patterns of the leaves of three tropical legumes. Biotropica 22: 330–338.
- 49. Hättenschwiler S, Vitousek PM (2000) The role of polyphenols in terrestrial ecosystem nutrient cycling. Trends Ecol Evol 15: 238–242.
- 50. Wardle DA, Nilsson MC, Zackrisson O, Gallet C (2003) Determinants of litter mixing effects in a Swedish boreal forest. Soil Biol Biochem 35: 827–835.
- 51. Makkonen M, Berg MP, van Logtestijn RS, van Hal JR, Aerts R (2013) Do physical plant litter traits explain non-additivity in litter mixtures? A test of the improved microenvironmental conditions theory. Oikos, 10.1111/j.1600–0706.2012.20750.x
- 52. Scowcroft PG (1997) Mass and nutrient dynamics of decaying litter from Passiflora mollissima and selected native species in a Hawaiian montane rain forest. J Trop Ecol 13: 407–426.
- 53. Elgersma KJ, Ehrenfeld JG (2011) Linear and non-linear impacts of a non-native plant invasion on soil microbial community structure and function. Biol Invasions 13: 757–768.
- 54. Maisto G, De Marco A, Meola A, Sessa L, De Santo AV (2011) Nutrient dynamics in litter mixtures of four Mediterranean maquis species decomposing in situ. Soil Biol Biochem 43: 520–530.
- 55. Ward S, Ostle N, McNamara N, Bardgett R (2010) Litter evenness influences short-term peatland decomposition processes. Oecologia 164: 511–520.
- 56. Li DJ, Peng SL, Chen BM (2013) The effects of leaf litter evenness on decomposition depend on which plant functional group is dominant. Plant Soil 365: 255–266.
- 57. Evans R, Rimer R, Sperry L, Belnap J (2001) Exotic plant invasion alters nitrogen dynamics in an arid grassland. Ecol App 11(5): 1301–1310.
- 58. Mack MC, D’Antonio CM (2003) The effects of exotic grasses on litter decomposition in a Hawaiian woodland: the importance of indirect effects. Ecosystems 6: 723–738.
- 59. Zhang WY, Wang BS, Liao WB, Li MG, Wang YJ, et al. (2002) Progress in studies on an exotic vicious weed Mikania micrantha. Chin J Appl Ecol 13: 1684–1688.
- 60. Strayer DL, Eviner VT, Jeschke JM, Pace ML (2007) Understanding the long-term effects of species invasions. Trends in Ecology and Evolution 21: 645–651.