Next Article in Journal
Carbon Sequestration, Plant Cover, and Soil Health: Strategies to Mitigate Climate Change
Previous Article in Journal
A Multidrug and Toxic Compound Extrusion Transporter, RgMATE6, Facilitates Vacuolar Transport of Acteoside in Rehmannia glutinosa
Previous Article in Special Issue
Planting Patterns Affect the Differences in Growth and Its Responses to Nitrogen Forms and Levels Between Three Invasive and Their Respective Related Native Species
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Relative Growth of Invasive Solanum rostratum Dunal Decreases with Increasing Competitive Species Richness Regardless of Resource Conditions

1
Liaoning Key Laboratory for Biological Invasions and Global Changes, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China
2
Yixian Water Conservancy Affairs Service Center, Jinzhou 121100, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this article.
Plants 2025, 14(23), 3609; https://doi.org/10.3390/plants14233609
Submission received: 14 October 2025 / Revised: 24 November 2025 / Accepted: 24 November 2025 / Published: 26 November 2025
(This article belongs to the Special Issue Climate Change and Invasive Plants)

Abstract

The biotic resistance hypothesis proposes that species-rich communities are more resistant to biological invasions due to the less available resources for invaders. The variation in available soil resources may affect the invasion resistance of community, but there is little evidence. Using invasive Solanum rostratum Dunal, a noxious invader in infertile habitats, and six co-occurring non-invasive species, we conducted a field experiment by testing the relationship between relative growth performance of invasives and richness of resident non-invasives, and the effects of available soil water and nutrients on the relationship. We found that relative aboveground biomass (hereafter relative biomass), relative coverage, community-weighted means (CWM) of specific leaf area (SLA), and photosynthetic rate (Pmass) of S. rostratum decreased with increasing resident non-invasive species richness. In contrast, for the non-invasive species, the CWM of SLA and Pmass significantly increased with increasing resident species richness. However, the available soil water and nutrients exerted limited effects on the relative biomass and coverage of S. rostratum. The piecewise structural equation model showed that non-invasive species richness has not only direct negative effects, but also indirect negative effects through promoting non-invasive biomass on the relative biomass of S. rostratum. Our findings indicate that the higher resident species richness is fundamental to resist invasion of alien S. rostratum, which operates through increasing biomass and resource acquisitive traits of a non-invasive community. Additionally, soil available resources exert limited effects on the invasion resistance. This study suggests the importance of conservation of biodiversity in preventing biological invasions.

1. Introduction

Biological invasions are among the most serious threats to global ecosystems, leading to severe degradation of ecological functions and services [1,2]. As one of the most classical theories in invasion biology, Elton’s biotic resistance hypothesis posits that communities with high species richness are more resistant to alien species invasions [3]. Many studies have tested the relationship between invasive alien and native species, but the inconsistent results among them impede our understanding of biotic resistance [4,5,6,7,8,9,10].
Niche complementarity is a main mechanism in biotic resistance that more diverse communities utilize resources efficiently, leaving less available resources for invaders [11]. Thus, the changes of available soil resources may influence the biotic resistance of the native community against invasions. Consistent with this speculation, Cheng et al. (2024) found that biotic resistance of a native community is weakened by experimental drought in their meta-analysis [12]. Inconsistently, in a 4-year experiment, Li et al. (2022) found that nitrogen addition did not affect the relationship between resident species diversity and community invasibility [6]. These contrasting results indicate that the effects of soil resource availability on the biotic resistance may vary with the type and level of resources.
Soil nutrients and water are two main factors influencing invasion of alien plants; however, the effects of their interactions with the community on biotic resistance remain unclear due to a lack of studies [6]. A lot of studies suggested that environments with higher nutrient and water availabilities are more susceptible to invasion by most alien species [13,14,15,16,17]. However, some studies revealed that barren habitats are also invaded by other aliens [18,19,20]. These results indicate that the effects of soil resource availabilities on biotic resistance against invasions may depend on the resources demanding property of the alien species.
Solanum rostratum Dunal (Solanaceae) is native to Mexico and the Western United States, and now, has spread to Europe, Australia, Central Asia, and China, becoming an invasive species [21]. It was first discovered in Chaoyang City, Liaoning Province, China, in 1981, and was reported in the Northeast, Inner Mongolia, and Xinjiang of China recently [22]. The seeds of S. rostratum can be dispersed by water flow of river, transportation of forage grass, agricultural machinery, animal fur, and wind. The species is commonly found in infertile environments, particularly disturbed grasslands, roadsides, and abandoned land, resulting in serious damage to the natural ecosystems and human activities [22]. To assess the resistance of species richness to the invasion of S. rostratum, this study compared the relative growth performance of this species under artificial communities with different non-invasive species richness in an abandoned land. We also regulated rainfall and fertilizer addition within the community and tested the effects of soil resource availabilities on invasion resistance. We hypothesized the following: (1) the relative growth performance of S. rostratum would decrease significantly with increasing species richness of non-invasive species in the community; and (2) increasing resource availabilities would enhance the relative growth performance of S. rostratum more greatly in species-poor than in species-rich communities.

2. Results

2.1. Effects of Non-Invasive Species Richness, Water, and Nutrients Treatments on S. rostratum

The relative aboveground biomass and coverage of invasive S. rostratum decreased significantly with increasing non-invasive species richness under all water and nutrient treatments (Figure 1). Compared with the reduced rainfall treatment, normal rainfall treatment decreased relative aboveground biomass of S. rostratum in four non-invasive species communities (Figure S3a) and relative coverage of S. rostratum in two non-invasive species communities, but increased the relative coverage of S. rostratum in one non-invasive species communities (Figure S3b). Compared with the low nutrient treatment, the high nutrient treatment decreased relative aboveground biomass of S. rostratum in four non-invasive species communities (Figure S4a) but increased relative coverage of S. rostratum in six non-invasive species communities (Figure S4b).

2.2. Effects of Non-Invasive Species Richness on CWM Traits and Its Differences Between Non-Invasive and Invasive Species

With increasing non-invasive species richness, the community-weighted means (CWM) of specific leaf area (SLA) and mass-based light-saturated photosynthetic rate (Pmass) significantly decreased for invasive S. rostratum, while increased for non-invasive species (Figure 2). The invasive S. rostratum had significantly higher CWM traits of SLA and Pmass in the communities containing one, two, and four (except SLA under high nutrients) non-invasive species; it showed lower values of these traits in the communities containing six non-invasives across all water and nutrients treatments (Figure 2, Figure 3 and Figure 4). We also found that species status (invasive vs. non-invasive) and its interaction with non-invasive species richness significantly affected the CWM traits of SLA and Pmass (Table S1).

2.3. Direct and Indirect Effects of Species Richness and Soil Resources on S. rostratum

The piecewise structural equation model (SEM) results showed that both non-invasive species richness and aboveground biomass had direct negative effects on the relative aboveground biomass of S. rostratum. The non-invasive species richness also exerted an indirect negative effect on the S. rostratum through promoting the aboveground biomass of non-invasive species. In addition, the water and nutrients availabilities had indirect negative effects on the S. rostratum through exerting positive effects on aboveground biomass of non-invasive species, respectively (Figure 5).

3. Discussion

Our results showed that relative growth performance (aboveground biomass and coverage) of invasive alien S. rostratum significantly decreased with increasing resident species richness, which is consistent with the biotic resistance hypothesis [3]. Consistently, many previous studies revealed negative diversity–invasibility relationships of the community [4,6,8]. However, the inconsistent results were also found in other studies [5,7,23,24]. A possible reason for these conflicted results is that some of these studies did not consider effects of plant abundance on the results. Wang et al. (2022) revealed that the abundance of native species is a main factor influencing invasion resistance of native community [25]. Our study restricted community within the same abundance would provide robust evidence in disentangling the relationship of diversity–invasibility of the community.
The changes in soil resources availabilities may influence niche complementarity among residents in diverse communities [26,27], which may affect the resistance of resident community against invasion. However, our results showed that soil resource availabilities have few effects on the relative growth performance of S. rostratum across communities with different species richness. In a meta-analysis, Cheng et al. (2024) found that biodiversity resistance of native community is weakened by experimental drought [12]. Our inconsistent results may be attributed to the lower plasticity of the studied invasive species to soil resources. Invasive species with low-nutrient requirements usually exhibit lower growth plasticity to the soil resources, which is associated with its invasiveness in nutrient-limited habitats [28]. The invasive S. rostratum has spread toward the arid or semiarid regions since first found in northeast China, suggesting its low-nutrient requirement [20]. These results suggest that it is essential to consider the nutrient requirements of invasive species when assessing the effects of soil resources on the invasion resistance of non-invasive community.
The increasing evidence showed that the biomass of a native community is a valuable predictor in the invasion resistance [6,20,25]. Although the availabilities of soil resources did not directly affect relative growth performance of S. rostratum, it had an indirect effect on the S. rostratum through promoting aboveground biomass of non-invasive species. Our piecewise SEM showed that both water and nutrients were positively correlated with aboveground biomass of non-invasives. The increases in aboveground biomass in non-invasives can strengthen their competitive ability against invasive species, thereby enhancing invasion resistance of non-invasive community.
Functional traits, particularly associated with plant growth rates, are often related with the higher environmental resources use efficiency [13,14,29]. Our results showed that with increasing richness of non-invasive species, the CWM of resource-acquisitive traits (SLA and Pmass) significantly increased for non-invasives, but decreased for the invasives. When the number of non-invasive species reached six, the CWM of SLA and Pmass were significantly higher for the non-invasive than invasive S. rostratum, suggesting that persisting the higher species richness (over 6 species per m2) would successfully resist invasion of the S. rostratum. These results indicate that communities with the higher species richness not only increase niche complementary effect by diverse species, but also enhance the functional resistance by increasing trait superiority of community against invasions. Contrary to our results, recent studies revealed that communities with higher CWM of resource-conservative traits are more resistant to invasion [6,20]. These inconsistent results may be due to the different species included in the communities and different available soil resources among these studies. Although functional traits associated with different growth strategies were found in the invasion resistance among studies, these results suggest that functional traits play a critical role in the invasion resistance of community.
Although a clear negative relationship of diversity–invasibility was found in this study, the experiment with more invasive and non-invasive, particularly native species, is necessary to conduct for testing invasion resistance. Our study involved some non-invasive alien species, which may be different from the native species in the invasion resistance because the aliens may adapt differently to the local habitat as the natives.

4. Materials and Methods

4.1. Study Sites and Non-Invasive Species

This study was conducted in an abandoned land (41°34′19″ N, 121°9′9″ E; 70 m asl) in Yixian County, Jinzhou, Liaoning Province, China. This region experiences invasion by S. rostratum and some other alien species, and featured predominantly sandy soils with relatively low fertility [30]. The study site has a continental monsoon climate, characterized by a mean annual temperature of 8.0 °C and precipitation of 530 mm. The mean growing season (May to August) temperature and precipitation were 22.7 °C and 323 mm, respectively. The experimental land was enclosed to exclude disturbance by large animals. The non-invasive species pool consisted of six species from three families that all co-occurred with S. rostratum in field (Table 1) [31]. Seeds of S. rostratum and S. nigrum were collected in Yixian County, in October 2022, other species were purchased from Shenyang Jinfuyou Seed Co., Ltd. (Shenyang, China).

4.2. Experimental Design

In May 2023, the experimental land was thoroughly ploughed and levelled, and all existing vegetation (including rhizomes) was removed. A series of sampling plots (1 m × 1 m) with different non-invasive species richness were established in the experimental land. Plots were 1 m apart from the neighbors. Based on the phylogenetic relationships between the invasive and non-invasive species, we established four gradients of non-invasive species richness: one, two, four, and six non-invasives. Each plot included 21 individuals of non-invasives and 4 individuals of S. rostratum. Each S. rostratum was surrounded by non-invasive species. The seeds of all species were sown directly into plot. In order to ensure simultaneous germination, the seeds of different species were sown at different time points. The plants in each plot were spaced 14 cm apart from each another. In total, 13 species combinations were established (Figure S1). The other weeds were removed immediately if necessary.
Two gradients of water treatments were implemented after a week of seed germination. The normal water treatment was received natural rainfall and drought treatment was a 50% reduction of the natural rainfall. The reduction of rainfall treatment was achieved by installing semi-circular PVC pipes (12 cm in diameter) above the soil surface with 10 cm to divert half of the rainfall away from the plots. Two nutrients’ treatments were also applied; low and high nutrient treatments were the addition of 300 and 600 g compound fertilizer (available N-P-K was 15–15–15%) per plot, respectively. The fertilizer was dissolved in water first and then sprayed onto the soil surface. We divided the fertilizer addition into six times and added once every 10 days. There were six replicates for each treatment, which included a total of 312 plots (13 plots × 2 water × 2 nutrients × 6 replicates).

4.3. Parameter Measurements

In mid-August, light-saturated photosynthetic rate (Pmax; μmol m−2 s−1) was measured using Li-6400 Portable Photosynthesis System (Li-Cor, Lincoln, NE, USA). The light intensity in the leaf chamber was set to 1500 μmol m−2 s−1, the CO2 concentration in the reference chamber was maintained at 380 μmol mol−1, and the leaf temperature was set to 25 °C. Specific leaf area (SLA; cm2 g−1) was determined using mature functional leaves as leaf surface area per gram of dry mass. The mass-based light-saturated photosynthetic rate (Pmass = Pmax × SLA/10000; μmol g−1 s−1) was calculated. The coverage (%) of each species was visually measured. Aboveground parts of each species were harvested, and oven-dried at 60 °C for 72 h for measuring aboveground biomass. The relative coverage and aboveground biomass of each species were also calculated.
The CWM of each trait for each species was computed based on the relative coverage [32], and the differences in CWMs between non-invasive and invasive species were also calculated as ΔTrait = CWM of non-invasive trait—CWM of invasive trait.

4.4. Statistical Analyses

The linear mixed-effect models (LMM) were fitted with the R package nlme to evaluate the effects of non-invasive species richness on the relative aboveground biomass and coverage of invasive S. rostratum under different water and nutrients treatments. The plot was treated as a random factor [33]. The LMM were also applied to assess the effects of non-invasive species richness, species status (invasive vs. non-invasive) and their interactions on the CWM traits under different water and nutrients treatments, and to test the effects of non-invasive species richness, water, nutrients treatments, and their interactions on the differences of ΔTrait. Post-hoc pairwise comparisons for treatment combinations were performed using the R package emmeans [34]. The piecewise SEM was employed to test direct and indirect effects of non-invasive species richness, soil resources (rainfall or nutrients), non-invasive aboveground biomass, and ΔTrait on the relative aboveground biomass of S. rostratum [35]. The SEMs were constructed using linear mixed-effect models where the plot was treated as a random factor. An a priori model incorporating all potential pathways was developed (Figure S2) and then refined by sequentially removing non-significant pathways to obtain the final model. Model adequacy was assessed using the χ2 test and Akaike’s Information Criterion (AIC), which were implemented in R package piecewiseSEM [35]. These analyses were conducted in R 4.3.3 (R Development Core Team, Vienna, Austria).

5. Conclusions

This study provides clear evidence in supporting the biotic resistance hypothesis that the relative aboveground biomass and coverage of invasive S. rostratum decreased with increasing non-invasive species richness. The piecewise structural equation model showed that non-invasive species richness has not only direct negative effects by diverse species, but also indirect negative effects through promoting non-invasive biomass by increasing community-weighted means of resource-acquisitive traits on the relative biomass of S. rostratum. Soil available resources exert limited effects on the invasion resistance of a non-invasive community. These findings highlight the critical role of species diversity in preventing biological invasions.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants14233609/s1, Table S1. Effects of non-invasive species richness (n = 4), species status (n = 2), and their interactions on community-weighted means of specific leaf area (SLA) and mass-based light-saturated photosynthetic rate (Pmass) under different water and nutrients treatments; Table S2. Effects of non-invasive species richness (n = 4), water (n = 2) or nutrients (n = 2) treatments, and their interactions on the differences in community-weighted means of specific leaf area (ΔSLA) and mass-based light-saturated photosynthetic rate (ΔPmass) (Δtrait = non-invasive − invasive); Figure S1. Schematic diagram of Solanum rostratum Dunal and non-invasive species community. Species codes: 0, Solanum rostratum Dunal; 1, Solanum nigrum L.; 2, Alkekengi officinarum Moench; 3, Medicago sativa L.; 4, Astragalus laxmannii Jacq.; 5, Bromus inermis Leyss.; 6, Leymus chinensis (Trin. ex Bunge) Tzvelev; Figure S2. An a priori conceptual structural equation model (SEM) depicting pathways by which non-invasive species richness and resources (water or nutrients) treatments may influence the relative aboveground biomass of Solanum rostratum Dunal. The plot was treated as a random factor in the SEM. For meanings of ΔSLA and ΔPmass abbreviations see Table S2; Figure S3. Relative aboveground biomass and coverage of Solanum rostratum Dunal across non-invasive species richness under reduced (open bars) and normal (closed bars) rainfall treatments. Reduced rainfall, 50% reduction of rainfall; normal rainfall, ambient rainfall. * indicates significant differences between reduced and normal rainfall treatment within the same non-invasive species richness (p < 0.05, linear mixed-effect models); Figure S4. Relative aboveground biomass and relative coverage of Solanum rostratum Dunal across non-invasive species richness under low (open bars) and high (closed bars) nutrients treatments. Low nutrients, addition of 300 g fertilizer per plot; high nutrients, addition of 600 g fertilizer per plot. * indicates significant differences between low and high nutrients treatment within the same non-invasive species richness (p < 0.05, linear mixed-effect models).

Author Contributions

Conceptualization: M.-C.L. and Y.-L.F.; methodology, M.-C.L. and Y.-L.F.; software, F.-Z.Q. and X.-R.L.; data curation, F.-Z.Q., X.-R.L., D.-P.W., X.-J.Z., Y.G., and L.G.; writing—original draft preparation, F.-Z.Q. and X.-R.L.; writing—review and editing, M.-C.L. and Y.-L.F. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Key R & D Program of China (2021YFD1400300) and the National Natural Science Foundation of China (32171662, 32171666).

Data Availability Statement

All data generated or analyzed during this study are included in this published article (Supplementary Files) and also available from the corresponding author on reasonable request.

Acknowledgments

We are grateful to the anonymous reviewers for their valuable comments and suggestions on the original version of the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Vilà, M.; Espinar, J.L.; Hejda, M.; Hulme, P.E.; Jarošík, V.; Maron, J.L. Ecological impacts of invasive alien plants: A meta-analysis of their effects on species, communities and ecosystems. Ecol. Lett. 2011, 14, 702–708. [Google Scholar] [CrossRef] [PubMed]
  2. Ju, R.T.; Gui, X.T.; Measey, J.; He, Q.; Xian, X.Q.; Liu, J.G.; Sutherland, W.J.; Li, B.; Wu, J.H. How can China curb biological invasions to meet Kunming-Montreal Target 6? Front. Ecol. Environ. 2025, 23, e2853. [Google Scholar] [CrossRef]
  3. Elton, C.S. The Ecology of Invasions by Animals and Plants; Chapman and Hall: London, UK, 1958. [Google Scholar]
  4. Zheng, Y.L.; Burns, J.H.; Liao, Z.Y.; Li, Y.P.; Yang, J.; Chen, Y.J.; Zhang, J.L.; Zheng, Y.G. Species composition, functional and phylogenetic distances correlate with success of invasive Chromolaena odorata in an experimental test. Ecol. Lett. 2018, 21, 1211–1220. [Google Scholar] [CrossRef]
  5. El-Barougy, R.; MacIvor, J.S.; Arnillas, C.A.; Nada, R.M.; Khedr, A.H.A.; Cadotte, M.W. Richness, phylogenetic diversity, and abundance all have positive effects on invader performance in an arid ecosystem. Ecosphere 2020, 11, e03045. [Google Scholar] [CrossRef]
  6. Li, S.P.; Jia, P.; Fan, S.Y.; Wu, Y.T.; Liu, X.; Meng, Y.N.; Li, Y.; Shu, W.S.; Li, J.T.; Jiang, L. Functional traits explain the consistent resistance of biodiversity to plant invasion under nitrogen enrichment. Ecol. Lett. 2022, 25, 778–789. [Google Scholar] [CrossRef]
  7. Ernst, A.; Barak, R.; Glasenhardt, M.C.; Kramer, A.; Larkin, D.; Marx, H.; Poulton, K.R.; Hipp, A. Dominant species establishment may influence invasion resistance more than phylogenetic or functional diversity. J. Appl. Ecol. 2023, 60, 2652–2664. [Google Scholar] [CrossRef]
  8. Zhang, L.H.; Chi, X.L.; Sun, M.Y.; Chen, X.C.; Lan, S.; Zhang, Y.W.; Su, X.Y.; Tang, C.G.; Wang, Q.G. Native shrub and plant diversity mitigate plant invasion in eastern China’s humid grasslands. Appl. Veg. Sci. 2024, 27, e70004. [Google Scholar] [CrossRef]
  9. Liu, Z.; Zhu, B.; Gao, L.L.; Wei, C.Q.; Siemann, E.; Liu, W.X.; Lu, X.M. Native plant diversity provides resistance to invasion by an alien species in natural and experimental settings. Ecol. Lett. 2025, 28, e70137. [Google Scholar] [CrossRef]
  10. Musarella, C.M.; Sciandrello, S.; Domina, G. Competition between alien and native species in xerothermic steno-Mediterranean grasslands: Cenchrus setaceus and Hyparrhenia hirta in Sicily and southern Italy. Vegetos 2025, 38, 1055–1062. [Google Scholar] [CrossRef]
  11. Frankow-Lindberg, B.E. Grassland plant species diversity decreases invasion by increasing resource use. Oecologia 2012, 169, 793–802. [Google Scholar] [CrossRef] [PubMed]
  12. Cheng, C.; Liu, Z.K.; Song, W.; Chen, X.; Zhang, Z.J.; Li, B.; van Kleunen, M.; Wu, J.H. Biodiversity increases resistance of grasslands against plant invasions under multiple environmental changes. Nat. Commun. 2024, 15, 4506. [Google Scholar] [CrossRef]
  13. Leishman, M.R.; Haslehurst, T.; Ares, A.; Baruch, Z. Leaf trait relationships of native and invasive plants: Community- and global-scale comparisons. New Phytol. 2007, 176, 635–643. [Google Scholar] [CrossRef] [PubMed]
  14. Leishman, M.R.; Thomson, V.P.; Cooke, J. Native and exotic invasive plants have fundamentally similar carbon capture strategies. J. Ecol. 2010, 98, 28–42. [Google Scholar] [CrossRef]
  15. Liu, Y.J.; van Kleunen, M. Responses of common and rare aliens and natives to nutrient availability and fluctuations. J. Ecol. 2017, 105, 1111–1122. [Google Scholar] [CrossRef]
  16. Zhang, C.; Wang, S.T.; Li, J.Z.; Feng, Y.L. Molecular bases for the stronger plastic response to high nitrate in the invasive plant Xanthium strumarium compared with its native congener. Planta 2023, 258, 61. [Google Scholar] [CrossRef]
  17. Sun, J.K.; Liu, M.C.; Tang, K.Q.; Tang, E.X.; Cong, J.M.; Lu, X.R.; Liu, Z.X.; Feng, Y.L. Advantages of growth and competitive ability of the invasive plant Solanum rostratum over two co-occurring natives and the effects of nitrogen levels and forms. Front. Plant Sci. 2023, 14, 1169317. [Google Scholar] [CrossRef]
  18. Heberling, J.M.; Fridley, J.D. Resource-use strategies of native and invasive plants in Eastern North American forests. New Phytol. 2013, 200, 523–533. [Google Scholar] [CrossRef] [PubMed]
  19. Liu, M.C.; Kong, D.L.; Lu, X.R.; Huang, K.; Wang, S.; Wang, W.B.; Feng, Y.L. Higher photosynthesis, nutrient-and energy-use efficiencies contribute to invasiveness of exotic plants in a nutrient poor habitat in northeast China. Physiol. Plant. 2017, 160, 373–382. [Google Scholar] [CrossRef] [PubMed]
  20. Shi, K.; Naz, M.; Zhang, C.; Shao, H. Aridity and grazing are associated with reduced trait complementarity and higher invasion intensity of Solanum rostratum in native plant communities. Funct. Ecol. 2025, 39, 1–14. [Google Scholar] [CrossRef]
  21. Datiles, M.J. Solanum rostratum (Prickly Nightshade); CABI Compendium: Wallingford, UK, 2014. [Google Scholar]
  22. Feng, Y.L. Invasive Plants in Northeast China; Science Publication House: Beijing, China, 2020. [Google Scholar]
  23. Davies, K.F.; Chesson, P.; Harrison, S.; Inouye, B.D.; Melbourne, B.A.; Rice, K.J. Spatial heterogeneity explains the scale dependence of the native–exotic diversity relationship. Ecology 2005, 86, 1602–1610. [Google Scholar] [CrossRef]
  24. Tomasetto, F.; Duncan, R.P.; Hulme, P.E. Resolving the invasion paradox: Pervasive scale and study dependence in the native-alien species richness relationship. Ecol. Lett. 2019, 22, 1038–1046. [Google Scholar] [CrossRef]
  25. Wang, C.Y.; Yu, Y.L.; Cheng, H.Y.; Du, D.L. Which factor contributes most to the invasion resistance of native plant communities under the co-invasion of two invasive plant species? Sci. Total Envir. 2022, 813, 152628. [Google Scholar] [CrossRef] [PubMed]
  26. Mattingly, W.B.; Swedo, B.L.; Reynolds, H.L. Interactive effects of resource enrichment and resident diversity on invasion of native grassland by Lolium arundinaceum. Plant Ecol. 2010, 207, 203–212. [Google Scholar] [CrossRef]
  27. Mallon, C.A.; Poly, F.; Le Roux, X.; Marring, I.; van Elsas, J.D.; Salles, J.F. Resource pulses can alleviate the biodiversity–invasion relationship in soil microbial communities. Ecology 2015, 96, 915–926. [Google Scholar] [CrossRef]
  28. Wang, S.; Chen, J.X.; Liu, M.C.; Arnold, P.A.; Wang, W.B.; Feng, Y.L. Phenotypic plasticity and exotic plant invasions: Effects of soil nutrients, species nutrient requirements, and types of traits. Physiol. Plant. 2022, 174, e13637. [Google Scholar] [CrossRef]
  29. Liu, M.C.; Dong, T.F.; Feng, W.W.; Qu, B.; Kong, D.L.; van Kleunen, M.; Feng, Y.L. Leaf trait differences between 97 pairs of invasive and native plants across China: Effects of identities of both the invasive and native species. Neobiota 2022, 71, 1–22. [Google Scholar] [CrossRef]
  30. Sun, J.K.; Liu, M.C.; Chen, J.X.; Qu, B.; Gao, Y.; Geng, L.; Zheng, L.; Feng, Y.L. Higher nitrogen uptake contributes to growth advantage of the invasive Solanum rostratum over two co-occurring natives at different nitrogen forms and concentrations. Plants 2025, 14, 640. [Google Scholar] [CrossRef] [PubMed]
  31. Editorial Committee of the Flora of China, Chinese Academy of Sciences. Flora Reipublicae Popularis Sinicae; Science Publication House: Beijing, China, 2004. [Google Scholar]
  32. Violle, C.; Navas, M.L.; Vile, D.; Kazakou, E.; Fortunel, C.; Hummel, I.; Garnier, E. Let the concept of trait be functional! Oikos 2007, 116, 882–892. [Google Scholar] [CrossRef]
  33. Pinheiro, J.; Bates, D.; DebRoy, S.; Sarkar, D. nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-153; R Core Team: Vienna, Austria, 2021. [Google Scholar]
  34. Lenth, R.V.; Piaskowski, J.; Banfai, B.; Bolker, B.; Buerkner, P.; Giné-Vázquez, L.; Hervé, M.; Jung, M.; Love, J.; Miguez, F.; et al. Estimated Marginal Means, Aka Least Squares Means: Package ‘Emmeans’, R package version 2.0.0. 29. 10.; 2025. Available online: https://CRAN.R-project.org/package=emmeans (accessed on 23 November 2025).
  35. Lefcheck, J.S. PIECEWISESEM: Piecewise structural equation modelling in R for ecology, evolution, and systematics. Methods Ecol. Evol. 2016, 7, 573–579. [Google Scholar] [CrossRef]
Figure 1. Relationship between relative biomass (a,c) and coverage (b,d) of invasive Solanum rostratum Dunal (Solanaceae) and non-invasive species richness under different water (reduced and normal rainfall) and nutrients (low and high nutrients per plot) treatments.
Figure 1. Relationship between relative biomass (a,c) and coverage (b,d) of invasive Solanum rostratum Dunal (Solanaceae) and non-invasive species richness under different water (reduced and normal rainfall) and nutrients (low and high nutrients per plot) treatments.
Plants 14 03609 g001
Figure 2. Community-weighted means of specific leaf area SLA (a,c,e,g) and mass-based photosynthetic rate Pmass (b,d,f,h) of invasive Solanum rostratum Dunal (closed bars) and non-invasive species (open bars) under different water (reduced and normal rainfall) and nutrients (low and high nutrients per plot) treatments. Different uppercase and lowercase letters indicate significant differences among richness levels in invasive and non-invasive species, respectively; * indicates a significant difference between invasive and non-invasive species within the same richness level (p < 0.05).
Figure 2. Community-weighted means of specific leaf area SLA (a,c,e,g) and mass-based photosynthetic rate Pmass (b,d,f,h) of invasive Solanum rostratum Dunal (closed bars) and non-invasive species (open bars) under different water (reduced and normal rainfall) and nutrients (low and high nutrients per plot) treatments. Different uppercase and lowercase letters indicate significant differences among richness levels in invasive and non-invasive species, respectively; * indicates a significant difference between invasive and non-invasive species within the same richness level (p < 0.05).
Plants 14 03609 g002
Figure 3. Differences in community-weighted means of specific leaf area ΔSLA (a) and mass-based photosynthetic rate ΔPmass (b) between invasive Solanum rostratum Dunal (Solanaceae) and non-invasive species across richness levels under reduced (closed bars) and normal (open bars) rainfall. Uppercase and lowercase letters indicate significant differences among richness levels in reduced and normal rainfall, respectively; * indicates a significant difference between rainfall treatments within the same richness level (p < 0.05).
Figure 3. Differences in community-weighted means of specific leaf area ΔSLA (a) and mass-based photosynthetic rate ΔPmass (b) between invasive Solanum rostratum Dunal (Solanaceae) and non-invasive species across richness levels under reduced (closed bars) and normal (open bars) rainfall. Uppercase and lowercase letters indicate significant differences among richness levels in reduced and normal rainfall, respectively; * indicates a significant difference between rainfall treatments within the same richness level (p < 0.05).
Plants 14 03609 g003
Figure 4. Differences in community-weighted means of specific leaf area ΔSLA (a) and mass-based photo-synthetic rate ΔPmass (b) between invasive Solanum rostratum Dunal (Solanaceae) and non-invasive species across richness levels under low (closed bars) and high (open bars) nutrients per plot. Uppercase and lowercase letters indicate significant differences among richness levels in low and high nutrients per plot, respectively; * indicates a significant difference between nutrients treatments within the same richness level (p < 0.05).
Figure 4. Differences in community-weighted means of specific leaf area ΔSLA (a) and mass-based photo-synthetic rate ΔPmass (b) between invasive Solanum rostratum Dunal (Solanaceae) and non-invasive species across richness levels under low (closed bars) and high (open bars) nutrients per plot. Uppercase and lowercase letters indicate significant differences among richness levels in low and high nutrients per plot, respectively; * indicates a significant difference between nutrients treatments within the same richness level (p < 0.05).
Plants 14 03609 g004
Figure 5. Direct and indirect effects of non-invasive species richness, water (a), and nutrients (b) treatments on the relative growth of invasive Solanum rostratum Dunal (Solanaceae). Only the significant pathways are included in this final model. Solid and dashed lines indicate positive and negative pathways, respectively. Numbers along the lines indicate standardized path coefficients.
Figure 5. Direct and indirect effects of non-invasive species richness, water (a), and nutrients (b) treatments on the relative growth of invasive Solanum rostratum Dunal (Solanaceae). Only the significant pathways are included in this final model. Solid and dashed lines indicate positive and negative pathways, respectively. Numbers along the lines indicate standardized path coefficients.
Plants 14 03609 g005
Table 1. Species list included in the study.
Table 1. Species list included in the study.
SpeciesFamilyLife SpanGrowth FormOriginNative Range
Solanum rostratum DunalSolanaceaeannualforbinvasiveMexico, western United States
Solanum nigrum L.SolanaceaeannualforbnativeChina
Alkekengi officinarum MoenchSolanaceaeperennialforbalienMexico, Central America
Medicago sativa L.FabaceaeperennialforbalienMediterranean
Astragalus laxmannii Jacq.FabaceaeperennialforbnativeChina
Bromus inermis Leyss.PoaceaeperennialgrassalienEurasia
Leymus chinensis (Trin. ex Bunge) Tzvelev.PoaceaeperennialgrassnativeChina
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Qi, F.-Z.; Lu, X.-R.; Wu, D.-P.; Zhang, X.-J.; Gao, Y.; Geng, L.; Liu, M.-C.; Feng, Y.-L. The Relative Growth of Invasive Solanum rostratum Dunal Decreases with Increasing Competitive Species Richness Regardless of Resource Conditions. Plants 2025, 14, 3609. https://doi.org/10.3390/plants14233609

AMA Style

Qi F-Z, Lu X-R, Wu D-P, Zhang X-J, Gao Y, Geng L, Liu M-C, Feng Y-L. The Relative Growth of Invasive Solanum rostratum Dunal Decreases with Increasing Competitive Species Richness Regardless of Resource Conditions. Plants. 2025; 14(23):3609. https://doi.org/10.3390/plants14233609

Chicago/Turabian Style

Qi, Fa-Zhao, Xiu-Rong Lu, Dong-Pu Wu, Xiao-Jia Zhang, Ying Gao, Lin Geng, Ming-Chao Liu, and Yu-Long Feng. 2025. "The Relative Growth of Invasive Solanum rostratum Dunal Decreases with Increasing Competitive Species Richness Regardless of Resource Conditions" Plants 14, no. 23: 3609. https://doi.org/10.3390/plants14233609

APA Style

Qi, F.-Z., Lu, X.-R., Wu, D.-P., Zhang, X.-J., Gao, Y., Geng, L., Liu, M.-C., & Feng, Y.-L. (2025). The Relative Growth of Invasive Solanum rostratum Dunal Decreases with Increasing Competitive Species Richness Regardless of Resource Conditions. Plants, 14(23), 3609. https://doi.org/10.3390/plants14233609

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