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Communication

Environmental Preferences of an Invasive Plant Species, Bidens frondosa (Asteraceae), in European Russia and Western Siberia

by
Anatoliy A. Khapugin
1,2,*,
Igor V. Kuzmin
1,
Leonid A. Ivanov
1,3,
Dina A. Ronzhina
1,3 and
Larissa A. Ivanova
1,3
1
Institute of Environmental and Agricultural Biology (X-BIO), Tyumen State University, 625003 Tyumen, Russia
2
Joint Directorate of the Mordovia State Nature Reserve and National Park “Smolny”, 430007 Saransk, Russia
3
Institute Botanical Garden, Ural Branch of RAS, 620144 Yekaterinburg, Russia
*
Author to whom correspondence should be addressed.
Diversity 2022, 14(8), 598; https://doi.org/10.3390/d14080598
Submission received: 20 June 2022 / Revised: 24 July 2022 / Accepted: 25 July 2022 / Published: 27 July 2022
(This article belongs to the Special Issue Diversity in 2022)

Abstract

:
To identify habitat conditions, indirect ordination methods on the basis of environmental scales are used widely in Europe. However, many alien plants are absent from those scales. Bidens frondosa (Asteraceae) is an invasive alien species distributed widely in Europe. It is becoming a significant part of natural plant communities, sometimes forming monospecific stands. This study aimed to empirically determine environmental factor values using analysis of the flora accompanying B. frondosa in 22 regions of European Russia collected in a 34-year time span. In European Russia, Tsyganov environmental scales are widely used for such analyses. We determined intervals of values for each environmental factor according to Tsyganov environmental scales, namely thermoclimatic scale (TM: 7.3–9.4), climate continentality (KN: 6.0–9.4), climate aridity/humidity (OM: 6.1–8.6), cryoclimatic scale (CR: 5.3–8.8), soil moisture (HD: 9.9–17.6), scale of the soil salt regimen (TR: 5.1–10.7), soil nitrogen availability (NT: 4.4–8.5), soil pH (RC: 4.8–8.8), habitat shading (LC: 2.0–4.5), and soil-moisture variability (FH: 0.7–5.9). These data on environmental factor values can be further used in ordination analyses of plant communities where B. frondosa appears in the subzone of coniferous-deciduous forests of Eastern Europe. Results of this study demonstrate the ecological preferences of this species and can be used to determine conditions of habitats invaded by B. frondosa.

1. Introduction

Direct measures and analysis of environmental conditions of plant habitats are difficult because long-term measurement of many ecological factors is highly labor-intensive. As an alternative, methods of indirect ordination based on vegetation character are widely applicable to determine the values and variation of the environment in the site under consideration. To this end, habitat assessment using environmental scales is of wide interest and application. Among such studies in East Europe, the most popular environmental scales were developed by Landolt et al. [1], Ellenberg et al. [2], and Tsyganov [3]. Among them, the scales of Landolt et al. [1] and Ellenberg et al. [2] were developed for Central Europe, while, for Eastern Europe and other Eurasian regions, certain correction coefficients may be needed for accurate assessment.
In European Russia, the use of Tsyganov [3] scales is the most promising for indirect analysis of environmental characteristics of current habitats [4,5] because it was developed specifically for the sub-zone of coniferous-deciduous forests of European Russia. However, new challenges have arisen in the use of environmental scales successfully developed decades ago. Owing to intensive biological invasions, many new alien species are missing from the phytoindication scales, particularly in the scales of Tsyganov [3]. Some alien species such as Cyclachaena xanthiifolia Nutt., Bidens frondosa L., Echinocystis lobata (Michx.) Torr. & A. Gray form stable plant communities [6], some of which are widely distributed. In turn, this makes it difficult to conduct an indirect ordination analysis of vegetation plots inhabited by unlisted alien plants.
In Russia, one of the widely distributed invasive alien plants is Bidens frondosa [7]. In various European-Russian and West-Siberian regions, B. frondosa-dominated plant communities were recently described [6,8]. In some regions, this alien plant has recently been found for the first time [9,10], highlighting the need to identify ranges of environmental factor values for Tsyganov [3] scales. As an initial attempt, this study aimed to determine the score intervals for B. frondosa in the sub-zone of coniferous-deciduous forests of European Russia. To test the applicability of Tsyganov [3] scales to the West-Siberian flora, the analysis included data from West-Siberian regions, namely, Kurgan and Tyumen.

2. Materials and Methods

By following the scheme of ecoregions proposed by Dinerstein et al. [11], we selected all regions covered by the biome of temperate broadleaf and mixed forests, including ecoregions of East-European forest steppe, Central European mixed forests, and Sarmatic mixed forests (Figure 1).
To determine the score intervals of B. frondosa, we used data about the composition of the flora accompanying this species. Data were extracted from three source types: (i) our field data obtained in the Republic of Mordovia, Kurgan Region, and Tyumen Region; (ii) published data (Table S1), and (iii) field data kindly provided by our colleagues (see Acknowledgements). In total, these data cover a 34-year time span, including 1984, 1985, 1990, 2000, 2001, 2004–2021. Our data were obtained by floristic surveys of habitats invaded by B. frondosa. Floristic lists included all plant species found on 10 × 10 m plots where B. frondosa was observed. Notably, the lack of data on the flora accompanying B. frondosa from some regions in our analysis does not mean that this alien species is absent from these regional floras. It just reflects the absence of data on the flora accompanying the invasive plant, which actually occurs in these regions, including the Volgograd, Saratov [12], and Moscow Regions [13].
Calculations of environmental score values were performed using the following formula (see [14]), taking into account environmental factor values (EFVs) of all species found in each floristic list determined in the studied regions:
m E F V = ( x 1 min + x 2 min + + x n min ) + ( x 1 max + x 2 max + + x n max ) 2 n
where mEFV = average environmental factor value, x n min = the minimal score value of a certain factor for n plant species, x n max = the maximal score value of a certain factor for n plant species, n = the number of certain plant species in the floristic list obtained in each location. For this purpose, we used the algorithm published by Buzuk and Sozinov [15].
To characterize the environmental preferences of B. frondosa, we used designations of environmental factors based on Tsyganov [3] (see Table S2). Among them, there are macroscales (climatic factors) (thermoclimatic scale, TM; climate continentality, KN; climate aridity/humidity, OM; cryoclimatic scale, CR) and microscales (plot scales) (soil moisture, HD; scale of the soil salt regimen, TR; soil nitrogen availability, NT; soil pH, RC; habitat shading, LC; soil-moisture variability, FH). Minimal and maximal EFVs may reflect the environmental survival limits of the plant. We used the 25th and 75th percentiles of data as limits of the most reliable survival of B. frondosa in the study area, where this alien plant should express the highest fitness to the environment. Calculations were performed by MS Excel 2010 and PAST 4.09 [16].

3. Results and Discussion

For these analyses, we were able to comply 191 pertinent floristic lists which have been found from 22 regions of European Russia and Western Siberia (Table S1), with results presented in Figure 2 and Table 1. A principal component analysis of these data (Table 1) identified three principal components (PC1, PC2, PC3) with eigenvalues > 0.9, accounting for 83.0% of the total variability of environmental factors.
Figure 2 demonstrates that data from Western Siberia (Tyumen Region, Kurgan Region) and the Urals (Sverdlovsk Region) are not outliers within the large set of data collected across European Russia. Although the Tsyganov [3] scales were developed for European Russia (sub-zone of coniferous-deciduous forests), this approach seems to work well in Western Siberia.
Based on the thermoclimatic scale, the highest fitness of B. frondosa is found in boreal-nemoral areas with effective radiation at about 40 Kcal/cm2 × year (see Tsyganov [3], p. 58). At the same time, minimal (TM: 7.3) and maximal (TM: 9.4) values indicate that this species can survive under conditions from ca. 35 Kcal/cm2 × year (e.g., river sandbanks) to ca. 45 Kcal/cm2 × year of effective radiation (e.g., edges of the burnt swamps). This parameter is characterized by low variability (CV = 4.7).
Climate continentality is a second environmental factor with low variability (CV = 4.0). Based on phytoindication data, we expectedly found that the highest fitness of B. frondosa corresponds to mainland/sub-continental climate, which corresponds well to the locations of our analyzed relevés.
Analysis based on the scale of climate aridity/humidity characterizes B. frondosa as a sub-aridophyte (sub-arid climate) confined to areas with P-E (evaporation minus precipitation) of ca. 0–400 mm/year. The minimal and maximal limits indicate more arid and humid areas respectively, but deviations from the mean value are not considerable. They are most probably related to differences in the flora accompanying B. frondosa in invaded habitats.
Based on the cryoclimatic scale, the highest fitness of B. frondosa is related to areas with moderate winters (i.e., average temperature of the coldest month is from –8°C to –16°C). This is typical for the whole study area, including Western Siberia and the west of European Russia.
Based on the soil moisture scale, B. frondosa inhabits a wide range of conditions. The highest fitness of B. frondosa occurs in moist (HD: 13.1) to wet (HD: 15.8) meadows and forests with other mesophytes or permesophytes, respectively. However, minimal (HD: 9.9) and maximal (HD: 17.6) EFVs reflected a wide range of potential habitats, ranging from meadow-steppes (sub-mesophytic) to palustrine forest-meadows (sub-hygrophytic).
Based on the scale of the soil salt regimen, B. frondosa is best adapted to moderately rich soils to rich soils (HD: 7.6–8.6) based on Tsyganov [3]. However, considering the minimal and maximal EFVs, B. frondosa can inhabit sites ranging from salt-poor soils (HD: 5.1) to salt-rich/slightly-saline soils (HD: 10.7).
Based on the scale of soil nitrogen availability, B. frondosa prefers sub-nitrophilic soils, which are quite well-supplied with nitrogen. At the same time, the high CV (12.3) for this parameter demonstrates its wide range of tolerance. So, B. frondosa inhabits very nitrogen-poor (hemi-nitrophilic group) to sufficiently nitrogen-rich (nitrophilic group) soils.
According to the scale of soil pH, the highest fitness of B. frondosa is related to slightly acidic soils, corresponding to pH of ca. 5.2–5.7 based on scaling in Tsyganov [3]. Taking into account the range of EFVs, B. frondosa can survive on acidic (RC: 4.8) to slightly alkaline (RC: 8.8) soils.
Based on the habitat-shading scale, shrub vegetation (semi-open habitats) has the most favorable lighting conditions for B. frondosa. Taking into account minimal and maximal EFVs, B. frondosa can grow in a wide range of lighting conditions, from open glade habitats (LC: 2.0) to light forest habitats (LC: 4.5). This characterizes B. frondosa as a heliophyte, more rarely a sub-heliophyte in the study area.
Based on the scale of the soil-moisture variability, the highest fitness of B. frondosa is related to relatively constant soil moisture with a reliable range of EFVs of 3.1–4.3. Nevertheless, data about the EFV range indicate the wide diversity of habitats suitable for B. frondosa in terms of soil-moisture variability. For instance, it is present in habitats with constant, relatively constant, or slightly variable soil moisture.
By summarizing these parameters, one can see that B. frondosa is a mesophyte to hygromesophyte growing on somewhat acidic (pH ≈ 5.2–5.7 ± 0.7), nitrogen-poor to nitrogen-rich soils. It prefers predominantly semi-open habitats (e.g., shrub vegetation, such as Salix thickets), rarely open (e.g., open riverbanks, roadsides) or slightly-shaded ones (e.g., roads in thin forests) with constant to slightly-variable soil moisture. We should note here that mean EFVs may not always be optimal values for a species. However, mean EFVs and extreme (minimal and maximal) values are needed to calculate mean EFVs of plant communities where B. frondosa is present. At the same time, the optimal EFVs are required to assess overall habitat suitability for B. frondosa. For this purpose, we need additional, extensive research beyond the scope of this paper.
Our data from European Russia and Western Siberia are similar to data from this species’ native range in Canada [17], where it grows on sand, loamy or clay soils under wet-mesic to mesic conditions. Although B. frondosa does not form the backbone of naturally occurring prairies and meadows [17], it inhabits generally the same habitats, namely moist forests, meadows, thickets, fields, roadsides, railroads, borders of streams, ponds, sloughs, swamps, ditches [18] as in the invaded range [19,20]. Unfortunately, we have not found publications with detailed information about environmental preferences of B. frondosa in North America. Therefore, this comparison is somewhat superficial without additional studies from Canada or the northern USA.
Our principal components analysis of EFVs demonstrated that soil moisture (HD), soil nitrogen availability (NT), soil pH (RC), scale of the soil-salt regimen (TR), and habitat shading (LC) are the most important environmental factors determining habitat suitability for B. frondosa. These results coincide with data presented in other studies. In garden [21] and field [22] experiments in China, it was demonstrated that nitrogen and water availability increase the growth and competitive ability of B. frondosa in comparison with its native congeners. Although in our study, the habitat shading (LC) has been a less important factor than others, B. frondosa was found to be more sensitive to photoperiod and less macrothermal than its European congener, B. tripartita L. [23]. These three studies [21,22,23] showed that B. frondosa has more plastic responses to environmental factors than other congeners, in accordance with the high coefficients of variation we obtained for microscale factors (Table 1). The range of environmental conditions of habitats invaded by B. frondosa in Eastern Europe and Siberia do need further study. Establishment of EFVs of Tsyganov scales for B. frondosa will facilitate the characterization of its habitats in Northern Eurasia using phytoindication methods.

4. Conclusions

Now that we have empirically obtained limits for all EFVs in the Tsyganov [3] environmental scales, this allows researchers to use these data to calculate mean EFVs for floristic lists of plant communities where Bidens frondosa occurs. This is especially relevant because, at present, there are now plant communities of low species diversity dominated by B. frondosa in various parts of the invaded range, e.g., [24,25]. Besides B. frondosa, many other widespread invasive species (e.g., Echinocystis lobata, Ambrosia trifida) are absent in the Tsyganov [3] scales, which highlights a need to perform similar studies to establish EFVs for these alien plants required for phytoindication analysis.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d14080598/s1, Table S1: Characteristics of the sources used to determine flora accompanying Bidens frondosa in the study area. Table S2: Designations of environmental factor scores based on Tsyganov (1983). References [6,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51] cited in the Supplementary Materials.

Author Contributions

Conceptualization, A.A.K.; methodology, A.A.K.; validation, A.A.K.; formal analysis, A.A.K.; investigation, A.A.K., I.V.K., L.A.I. (Leonid A. Ivanov), D.A.R. and L.A.I. (Larissa A. Ivanova); data curation, A.A.K.; writing—original draft preparation, A.A.K.; writing—review and editing, A.A.K., L.A.I. (Leonid A. Ivanov), D.A.R. and L.A.I. (Larissa A. Ivanova); visualization, A.A.K. and L.A.I. (Leonid A. Ivanov). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the state assignment FEWZ-2020-0009 from Ministry of Education and Science of the Russian Federation, and by RFBR, project number 20-44-720006.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are available upon request from the corresponding author.

Acknowledgments

We cordially thank Elena A. Starodubtseva (Voronezh State Nature Reserve, Russia), Vadim E. Prokhorov (Kazan Federal University, Russia), Vladimir M. Vasjukov (Institute of Ecology of the Volga River basin of RAS, Russia), Yury A. Semenishchenkov (Bryansk State University, Russia), Irina G. Esina (Joint Directorate of the Mordovia State Nature Reserve and National Park “Smolny”, Russia), and Olga A. Kapitonova (Tobolsk Complex Scientific Station, Ural Branch of RAS, Russia) for graciously providing data for our study, and other helpful contributions.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Landolt, E.; Bäumler, B.; Erhardt, A.; Hegg, O.; Klötzli, F.; Lämmler, W.; Nobis, M.; Rudmann-Maurer, K.; Schweingruber, F.H.; Theurillat, J.P.; et al. Ecological Indicator Values and Biological Attributes of the Flora of Switzerland and the Alps; Haupt: Bern, Switzerland, 2010. [Google Scholar]
  2. Ellenberg, H.; Weber, H.E.; Düll, R.; Wirth, V.; Werner, W. Zeigerwerte von Pflanzen in Mitteleuropa, 3, durch gesehene Aufl. Scr. Geobot. 2001, 18, 1–261. [Google Scholar]
  3. Tsyganov, D.N. Phytoindication of Ecological Regimes in the Mixed Coniferous-Broad-Leaved Forest Subzone; Nauka: Moscow, Russia, 1983. [Google Scholar]
  4. Egorova, N.Y.; Suleimanova, V.N. Variability of morphological structures in Cypripedium calceolus (Orchidaceae) and their relationship with the habitat conditions in the southern taiga ecosystems, Russia. Nat. Conserv. Res. 2021, 6, 28–41. [Google Scholar] [CrossRef]
  5. Orlov, O.O.; Fedoniuk, T.P.; Iakushenko, D.M.; Danylyk, I.M.; Kish, R.Y.; Zimaroieva, A.A.; Khant, G.A. Distribution and ecological growth conditions of Utricularia australis R. Br. in Ukraine. J. Water Land Dev. 2021, 48, 32–47. [Google Scholar] [CrossRef]
  6. Panasenko, N.N.; Korosteleva, T.P.; Romanova, J.N. Distribution of Xanthium albinum (Widd.) H. Scholz & Sukopp and its communities in the Bryansk region. Bull. Bryansk Dep. Russ. Bot. Soc. 2015, 1, 48–54. [Google Scholar]
  7. Vinogradova, Y.; Pergl, J.; Essl, F.; Hejda, M.; van Kleunen, M.; Pyšek, P. Invasive alien plants of Russia: Insights from regional inventories. Biol. Invasions 2018, 20, 1931–1943. [Google Scholar] [CrossRef]
  8. Golub, V.B.; Kuzmina, E.G. Communities of the alliance Bidenti frondosae-Salicion triandrae Golub 2004 on the territory of the Lower Volga Valley. South Russ. Ecol. Dev. 2010, 5, 31–35. [Google Scholar] [CrossRef]
  9. Ronzhina, D.A.; Ivanova, L.A.; Ivanov, L.A.; Khapugin, A.A. Bidens frondosa (Asteraceae), a new alien invasive plant species in the Kurgan Region (Russia). Contrib. Bot. 2021, 56, 53–58. [Google Scholar] [CrossRef]
  10. Verkhozina, A.V.; Biryukov, R.Y.; Bogdanova, E.S.; Bondareva, V.V.; Chernykh, D.V.; Dorofeev, N.V.; Dorofeyev, V.I.; Ebel, A.L.; Efimov, P.G.; Efremov, A.N.; et al. Findings to the flora of Russia and adjacent countries: New national and regional vascular plant records, 3. Bot. Pac. 2021, 10, 85–108. [Google Scholar] [CrossRef]
  11. Dinerstein, E.; Olson, D.; Joshi, A.; Vynne, C.; Burgess, N.D.; Wikramanayake, E.; Hahn, N.; Palminteri, S.; Hedao, P.; Noss, R.; et al. An ecoregion-based approach to protecting half the terrestrial realm. Bioscience 2017, 67, 534–545. [Google Scholar] [CrossRef] [PubMed]
  12. Vasilyeva, N.V.; Papchenkov, V.G. Mechanisms of influence of invasive Bidens frondosa L. on indigenous Bidens species. Russ. J. Biol. Invasions 2011, 2, 81–85. [Google Scholar] [CrossRef]
  13. Galkina, M.A.; Vinogradova, Y.K. Hybridization of alien and aboriginal taxons of Bidens L. genus in Eastern Europe. Biol. Bull. 2017, 44, 406–411. [Google Scholar] [CrossRef]
  14. Khapugin, A.A. Environment status estimation of the forest communities based on floristic surveys in the Mordovia State Nature Reserve, Russia. Forests 2021, 12, 1475. [Google Scholar] [CrossRef]
  15. Buzuk, G.N.; Sozinov, O.V. Regression analysis in phytoindication (on example of D.N. Tsyganov’s ecological scales). In Botany (Research): Proceedings; Pravo i ekonomika: Minsk, Belarus, 2009; Volume 37, pp. 356–362. [Google Scholar]
  16. Hammer, Ø.; Harper, D.A.T.; Ryan, P.D. PAST: Paleontological statistics software package for education and data analysis. Palaeontol. Electron. 2001, 4, 9. [Google Scholar]
  17. Delaney, K.; Rodger, L.; Woodliffe, P.A.; Rhynard, G.; Morris, P. Planting the Seed: A Guide to Establishing Prairie and Meadow Communities in Southern Ontario; Environment Canada: Downsview, ON, Canada, 2000. [Google Scholar]
  18. Strother, J.L.; Weedon, R.R. Bidens L. In Flora of North America; Magnoliophyta: Asteridae, Part 8: Asteraceae, Part 3; Oxford University Press: New York, NY, USA, 2006; Volume 21, pp. 205–218. [Google Scholar]
  19. Wagner, V.; Chytrý, M.; Jiménez-Alfaro, B.; Pergl, J.; Hennekens, S.; Biurrun, I.; Knollová, I.; Berg, C.; Vassilev, K.; Rodwell, J.S.; et al. Alien plant invasions in European woodlands. Divers. Distrib. 2017, 23, 969–981. [Google Scholar] [CrossRef]
  20. Vinogradova, Y.K.; Mayorov, S.R.; Khorun, L.V. Black Data Book of the Flora of Central Russia: Alien Plant Species in Central Russian Ecosystems; GEOS: Moscow, Russia, 2010. [Google Scholar]
  21. Pan, Y.; Tang, S.; Wei, C.; Li, X. Effects of global risks—Nitrogen additions on growth and competitive relations among invasive and native congeneric species—Bidens frondosa. Pol. J. Ecol. 2016, 64, 443–452. [Google Scholar] [CrossRef]
  22. Wei, C.; Tang, S.; Pan, Y.; Li, X. Plastic responses of invasive Bidens frondosa to water and nitrogen addition. Nord. J. Bot. 2017, 35, 232–239. [Google Scholar] [CrossRef]
  23. Danuso, F.; Zanin, G.; Sartorato, I. A modelling approach for evaluating phenology and adaptation of two congeneric weeds (Bidens frondosa and Bidens tripartita). Ecol. Model. 2012, 243, 33–41. [Google Scholar] [CrossRef]
  24. Ronzhina, D.A. Distribution, competitive ability, and seed production of Bidens frondosa L. in the Middle Urals. Russ. J. Biol. Invasions 2017, 8, 351–359. [Google Scholar] [CrossRef]
  25. Dubovik, D.V.; Sauchuk, S.S.; Zavialova, L.V. The current status of the plant invasions in Belarus. Environ. Socio Econ. Stud. 2021, 9, 14–22. [Google Scholar] [CrossRef]
  26. Abramova, L.M. Classification of communities with invasive species in the Southern Urals. I. Communities with Ambrosia species. Veg. Russ. 2011, 19, 3–28. [Google Scholar] [CrossRef]
  27. Arepieva, L.A.; Panasenko, N.N. Communities with Eragrostis albensis H. Scholz in the Kursk and Bryansk Regions. Divers. Plant World 2020, 2, 29–36. [Google Scholar]
  28. Belyakov, E.A.; Sakharova, E.G.; Sokolova, A.S. The current state and dynamics of the flora of several small lakes of the Yaroslavl Region, Russia. Ecosyst. Transform. 2020, 3, 95–121. (In Russian) [Google Scholar] [CrossRef]
  29. Borisova, E.A. Alien plant species of the Meshchera National Park. Sci. Proc. State Nat. Reserve Prisursky 2015, 30, 4–8. [Google Scholar]
  30. Borisova, E.A.; Shilov, M.P. Interesting terates form of Typha angustifolia in Ivanovo Region. Phytodiversity East. Eur. 2016, 10, 91–93. [Google Scholar]
  31. Borisova, E.A.; Shilov, M.P.; Shcherbakov, A.V.; Kurganov, A.A. Lake flora of the Savino district of the Ivanovo region. Bull. Bryansk Dep. Russ. Bot. Soc. 2013, 2, 20–27. [Google Scholar]
  32. Borisova, E.A.; Kurganov, A.A.; Markov, D.S. Bolshye Rassokhi – lake of Ivanovo Region. Samar. Luka Probl. Reg. Glob. Ecol. 2019, 28, 130–135. [Google Scholar] [CrossRef]
  33. Bulokhov, A.D.; Semenishchenkov, Y.A.; Panasenko, N.N.; Kharin, A.V.; Akhromeev, L.M. Diversity and Dynamics of Grass Vegetation of the Desna River Floodplain; RISO BGU: Bryansk, Russia, 2021. [Google Scholar]
  34. Dmitrieva, Z.M. Invasive plant species of the Khrushchev park in the city of Ivanovo. In Shuya Session of Students, Graduate Students, Teachers, Young Scientists: Proceedings of XIV International Scientific Conference; Ivanovo State University: Moscow, Russia; Ivanovo, Russia; Shuya, Russia, 2021; pp. 280–282. [Google Scholar]
  35. Gafurova, M.M. About a flora of the abolished nature sanctuaries in the buffer zone of the Nature Reserve «Prisursky». Sci. Proc. State Nat. Reserve Prisursky 2017, 32, 35–59. [Google Scholar]
  36. Glazkova, E.A. Bidens frondosa (Asteraceae), a new adventive species for the flora of North-West Russia and the history of its spreading in East Europe. Bot. Zhurnal 2005, 90, 1525–1540. [Google Scholar]
  37. Golovanov, Y.M.; Abramova, L.M. Vegetation of Salavat town (Bashkortostan Republic). III. Synantrope vegetation (classes Bidentetea tripartitae, Stellarietea mediae and Artemisietea vulgaris). Veg. Russ. 2012, 21, 34–65. [Google Scholar] [CrossRef]
  38. Krylova, E.; Garin, E.; Tihonov, A. Vegetative cover of the mouth of the Chesnava River (Yaroslavl Region). Trans. Papanin Inst. Biol. Inland Waters RAS 2021, 93, 84–96. [Google Scholar] [CrossRef]
  39. Lapov, I.V. Towards the study of the flora of River Sok. In Ecology and Geography of Plants and Communities in Middle Volga Region; Kassandra: Togliatti, Russia, 2011; pp. 77–83. [Google Scholar]
  40. Poluyanov, A.V. About some associations of riparian and mire vegetation in the Kursk Region. Scientific Notes. Electron. Res. J. Kursk. State Univ. 2008, 4, 1–7. [Google Scholar]
  41. Prokhorov, V.; Rogova, T.; Kozhevnokova, M. Vegetation Database of Tatarstan. Phytocoenologia 2017, 47, 309–313. [Google Scholar] [CrossRef]
  42. Ruchin, A.B.; Artaev, O.N.; Klevakin, A.A.; Moreva, O.A.; Osipov, V.V.; Levin, B.A.; Ilyin, V.Y.; Mikheev, V.A.; Ermakov, A.S.; Yankin, A.V.; et al. Fish Fauna of the Sura River Basin: Species Diversity, Populations, Distribution, Conservation; Mordovia State University: Saransk, Russia, 2016. [Google Scholar]
  43. Semenishchenkov, Y.A. Phytocoenotic diversity of the gray alder forests the southern-west of Nechernozemye of Russia. Veg. Russ. 2014, 25, 71–88. [Google Scholar] [CrossRef]
  44. Seregin, A.P. Some new and rare species of Vladimir Province flora. Fourth report. Bull. Mosc. Soc. Nat. 2008, 113, 69–71. [Google Scholar]
  45. Solovyova, V.V. Structure and Dynamics of the Vegetation Cover of Small Artificial Reservoirs in the Middle Volga Region; Samara State Social-Pedagogical University: Samara, Russia, 2017. [Google Scholar]
  46. Solovyova, V.V. Environmental role of technogenic reservoirs of the Samara Region for coastal water macrophytes. In Ecology. Risk. Security; Kurgan, Russia, 2020; pp. 173–174. [Google Scholar]
  47. Solov’eva, V.V.; Saksonov, S.V. Phytomonitoring of the Samara botanical garden ponds. Samar. Luka Probl. Reg. Glob. Ecol. 2007, 16, 208–234. [Google Scholar]
  48. Vargot, E.V. Materials to the flora of River Barysh. Phytodiversity East. Eur. 2009, 7, 181–184. [Google Scholar]
  49. Vargot, E.V.; Grishutkin, O.G.; Artaev, O.N. Results of investigations of wetlands Kryachek Lake and neighborhood (Ulyanovsk Region). Samara J. Sci. 2015, 2, 41–45. [Google Scholar] [CrossRef]
  50. Vasjukov, V.M.; Ivanova, A.V.; Senator, S.A.; Saksonov, S.V. Flora materials of the Kuznetsk district in Penza Region. Phytodiversity East. Eur. 2014, 8, 57–66. [Google Scholar]
  51. Vasjukov, V.M.; Gorbushina, T.V.; Novikova, L.A.; Pchelinceva, T.I. Materials to the flora of the south of the Penza Region: Malay Serdoba district. Samar. Luka Probl. Reg. Glob. Ecol. 2019, 28, 117–129. [Google Scholar] [CrossRef]
Figure 1. Map of the study areas. Regions of European Russia from where we used data (black dots) on floras accompanying Bidens frondosa are colored in blue. Designations of regions of European Russia and Western Siberia based on the state system of region numeration: 02—Republic of Bashkiria, 12—Republic of Mari El, 13—Republic of Mordovia, 16—Republic of Tatarstan, 18—Republic of Udmurtia, 21—Chuvash Republic, 31—Belgorod Region, 32—Bryansk Region, 33—Vladimir Region, 36—Voronezh Region, 37—Ivanovo Region, 40—Kaluga Region, 43—Kirov Region, 45—Kurgan Region, 46—Kursk Region, 47—Leningrad Region, 48—Lipetsk Region, 50—Moscow Region, 52—Nizhnii Novgorod Region, 53—Novgorod Region, 56—Orenburg Region, 57—Orel Region, 58—Penza Region, 59—Permsky Krai, 60—Pskov Region, 62—Ryazan Region, 63—Samara Region, 64—Saratov Region, 66—Sverdlovsk Region, 67—Smolensk Region, 68—Tambov Region, 69—Tver Region, 71—Tula Region, 72—Tyumen Region, 73—Ulyanovsk Region, 74—Chelyabinsk Region, 76—Yaroslavl Region. Borders of Russian regions, Russia, and other adjacent countries are colored in blue.
Figure 1. Map of the study areas. Regions of European Russia from where we used data (black dots) on floras accompanying Bidens frondosa are colored in blue. Designations of regions of European Russia and Western Siberia based on the state system of region numeration: 02—Republic of Bashkiria, 12—Republic of Mari El, 13—Republic of Mordovia, 16—Republic of Tatarstan, 18—Republic of Udmurtia, 21—Chuvash Republic, 31—Belgorod Region, 32—Bryansk Region, 33—Vladimir Region, 36—Voronezh Region, 37—Ivanovo Region, 40—Kaluga Region, 43—Kirov Region, 45—Kurgan Region, 46—Kursk Region, 47—Leningrad Region, 48—Lipetsk Region, 50—Moscow Region, 52—Nizhnii Novgorod Region, 53—Novgorod Region, 56—Orenburg Region, 57—Orel Region, 58—Penza Region, 59—Permsky Krai, 60—Pskov Region, 62—Ryazan Region, 63—Samara Region, 64—Saratov Region, 66—Sverdlovsk Region, 67—Smolensk Region, 68—Tambov Region, 69—Tver Region, 71—Tula Region, 72—Tyumen Region, 73—Ulyanovsk Region, 74—Chelyabinsk Region, 76—Yaroslavl Region. Borders of Russian regions, Russia, and other adjacent countries are colored in blue.
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Figure 2. Scores of environmental factors of the Tsyganov [3] scales empirically found for Bidens frondosa based on data from European Russia and Western Siberia. Designations: dots indicate floristic data from European Russia (black), Tyumen Region (blue), Kurgan Region (red), and Sverdlovsk Region (green); the boundaries of the box plots indicate the 25th and 75th percentiles; whiskers above and below indicate the minimum and maximum values; TM—thermoclimatic scale, KN—climate continentality, OM—climate aridity/humidity, CR—cryoclimatic scale, HD—soil moisture, TR—scale of the soil salt regimen, NT—soil nitrogen availability, RC—soil pH, LC—habitat shading, FH—soil-moisture variability. Quantitative data are presented in Table 1.
Figure 2. Scores of environmental factors of the Tsyganov [3] scales empirically found for Bidens frondosa based on data from European Russia and Western Siberia. Designations: dots indicate floristic data from European Russia (black), Tyumen Region (blue), Kurgan Region (red), and Sverdlovsk Region (green); the boundaries of the box plots indicate the 25th and 75th percentiles; whiskers above and below indicate the minimum and maximum values; TM—thermoclimatic scale, KN—climate continentality, OM—climate aridity/humidity, CR—cryoclimatic scale, HD—soil moisture, TR—scale of the soil salt regimen, NT—soil nitrogen availability, RC—soil pH, LC—habitat shading, FH—soil-moisture variability. Quantitative data are presented in Table 1.
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Table 1. The summary statistics of environmental factors of the Tsyganov [3] scales empirically found for Bidens frondosa based on data from European Russia and Western Siberia, and factor weightings derived from principal components (PCs) analysis.
Table 1. The summary statistics of environmental factors of the Tsyganov [3] scales empirically found for Bidens frondosa based on data from European Russia and Western Siberia, and factor weightings derived from principal components (PCs) analysis.
ParametersTMKNOMCRHDTRNTRCLCFH
Mean8.48.77.77.414.48.16.57.12.93.8
Standard deviation0.40.30.40.41.70.80.80.70.40.9
Min7.36.06.15.39.95.14.44.82.00.7
Max9.49.48.68.817.610.78.58.84.55.9
CV4.74.05.36.011.710.312.39.514.424.9
25th percentile8.38.57.57.213.17.66.06.82.63.1
75th percentile8.78.98.07.715.88.67.17.53.14.3
PC 1−0.091−0.0790.092−0.0940.968−0.1370.0500.0730.0680.004
PC 20.162−0.0450.0300.1340.0530.5830.5910.465−0.2030.048
PC 3−0.123−0.0020.058−0.0400.0000.148−0.150−0.0140.0690.965
Note: TM—thermoclimatic scale, KN—climate continentality, OM—climate aridity/humidity, CR—cryoclimatic scale, HD—soil moisture, TR—scale of the soil salt regimen, NT—soil nitrogen availability, RC—soil pH, LC—habitat shading, FH—soil-moisture variability.
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Khapugin, A.A.; Kuzmin, I.V.; Ivanov, L.A.; Ronzhina, D.A.; Ivanova, L.A. Environmental Preferences of an Invasive Plant Species, Bidens frondosa (Asteraceae), in European Russia and Western Siberia. Diversity 2022, 14, 598. https://doi.org/10.3390/d14080598

AMA Style

Khapugin AA, Kuzmin IV, Ivanov LA, Ronzhina DA, Ivanova LA. Environmental Preferences of an Invasive Plant Species, Bidens frondosa (Asteraceae), in European Russia and Western Siberia. Diversity. 2022; 14(8):598. https://doi.org/10.3390/d14080598

Chicago/Turabian Style

Khapugin, Anatoliy A., Igor V. Kuzmin, Leonid A. Ivanov, Dina A. Ronzhina, and Larissa A. Ivanova. 2022. "Environmental Preferences of an Invasive Plant Species, Bidens frondosa (Asteraceae), in European Russia and Western Siberia" Diversity 14, no. 8: 598. https://doi.org/10.3390/d14080598

APA Style

Khapugin, A. A., Kuzmin, I. V., Ivanov, L. A., Ronzhina, D. A., & Ivanova, L. A. (2022). Environmental Preferences of an Invasive Plant Species, Bidens frondosa (Asteraceae), in European Russia and Western Siberia. Diversity, 14(8), 598. https://doi.org/10.3390/d14080598

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