Open Access
Issue
BIO Web Conf.
Volume 11, 2018
IV(VI)th All-Russia Scientific-Practical Conference “Prospects of Development and Challenges of Modern Botany”
Article Number 00035
Number of page(s) 4
DOI https://doi.org/10.1051/bioconf/20181100035
Published online 21 August 2018

© The Authors, published by EDP Sciences, 2018

Licence Creative Commons
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1 Introduction

The populational and ontogenetic method of researches gained wide popularity because the various indicators which characterize development and the state of a species are considered with its help in the different phytocenotic conditions [1].

The purpose of this work is to reveal the features of age structure of coenopopulation of Fragaria vesca L. in the natural and broken habitats.

2 Material and methods

Fragaria vesca L. is a perennial, polycarpic, ground-stoloniferous plant of the Rosaceae family [2]. The wild strawberry is an ecologically plastic species [3, 4]. It actively acclimatizes anthropogenically broken habitats revealing itself as a typical explerent [5].

The researches were conducted near the township Privolniy in Kemerovo district in 2015–2017 in the first decade of July. Two coenopopulations of wild strawberry were chosen: CP1 is a control one (natural typical habitat) located in the birch forest, rich in herbs and cereal, and occupied the area of 2–2.5 thousand m2, and CP2 is an experimental one (transformed atypical habitat) on the slope of the southern aspect of the railway dump of rock with the area of 4 thousand m2 with forming cereal and rich in herbs phytocenosis. The distance between the studied coenopopulations is 700 m [6].

One counted the vegetative and generative rosettes on the sampling quadrats of 1 m2. There were 30 sampling quadrats grounded in the forest and on the dump. The age conditions of individuals were defined in coenopopulations and the age spectra were interpreted on S.A. Dubrovnaya [4]. The age spectra were assembled with the use of the standard populational and ontogenetic techniques for the definition of ratios of different age groups in coenopopulations.

3 Results

The analysis of ontogenetic spectra of 2015 showed that coenopopulations were normal incomplete during the research. This feature is noted for the wild strawberry growing in the broken and undisturbed habitats of the European part of the areal [4].

CP1 was characterized by a left-sided age spectrum with the absolute dominance of virginile individuals (68%) (fig. 1a). The obtained spectrum is similar to S.A. Dubrovnaya’s one [4] for coenopopulations of wild strawberry growing in the conditions of low illumination.

CP2 was characterized by a left-sided age spectrum (45% of individuals of pre-generative fraction) (fig. 1b). At the same time the part of middle-aged generative individuals made 28% and the part of post-generative individuals was less than 1%.

The coenopopulations were also normal incomplete in 2016. There were no senile individuals in the age spectra of wild strawberry on the dump and the individuals of old generative, sub-senile and senile age were absent in the forest.

The age spectrum of CP1 was characterized as left-sided one with the greatest parts of individuals of the pre-generative period (immature and virginile). The part of middle-aged generative individuals made 25% (fig. 2a). The old individuals were absent.

The age spectrum of CP2 was characterized as left-sided with the dominance of immature, virginile and young generative rosettes (fig. 2b). In the work by L.B. Zaugolnova (1994) and S. A. Dubrovnaya [4], the spectra like those obtained by us for the control are called bimodal. The part of middle-aged generative individuals made 20% and about 8% of post-generative ones.

In the analysis of ontogenetic spectra of 2017, we revealed that coenopopulations were normal incomplete as well as in previous years. There were no senile individuals in transformed habitat and there were no old generative and senile ones in natural habitat.

CP1 was characterized by a left-sided age spectrum with high content of immature (28%) and virginile (41%) individuals. The part of generative individuals made 13% and the part of post-generative individuals was 15% (fig. 3a).

The age spectrum of CP2 was also left-sided (51% of individuals of pre-generative fraction) (fig. 3b). At the same time the part of generative individuals made 48% and the part of post-generative individuals was about 1%.

thumbnail Fig. 1.

Age structure of F. vesca in CP1 (a) and CP2 (b), 2015. Notes: x-direction – age conditions, y-direction – part of individuals, %.

thumbnail Fig. 1.

Age structure of F. vesca in CP1 (a) and CP2 (b), 2016. The same notes as fig.1.

thumbnail Fig. 3.

Age structure of F. vesca in CP1 (a) and CP2 (b), 2016. The same notes as fig.1.

4 Discussion

The coenopopulations of F. vesca of various ecotopes were characterized as normal incomplete that corresponds to the literature data. The type of ontogenetic spectrum of wild strawberry in control and experimental coenopopulations was left-sided and did not change by years and by habitat type as well. Our results do not altogether agree with the data of other authors. For example, S.A. Dubrovnaya [4] obtained a left-sided spectrum for coenopopulations of F. vesca growing in the European part in the conditions of low illumination and she obtained bimodal spectrum in the open habitats. However, T.P. Larkina has the results corresponding to ours after conducting similar researches in the South Ural [7].

At the same time in days of the research, the ratio of rosettes of various age conditions varied in the spectra. In certain years, the dominance of virginile and generative individuals was noted in the natural and transformed habitats. The juvenile individuals were very few in both coenopopulations (2–12%) as well as the old ones (0–15%). It should be noted that old individuals are often found in the coenopopulation on a dump slope.

The character of age spectra of the studied coenopopulations of F. vesca indicates the mixed type of their self-maintenance with the dominance of vegetative one that corresponds to a vital form of the species.

References

  • V.N. Ilyina, Samarian Luka: Reg. and Glob. Ecol. Probl., 19, 99 (2010) [Google Scholar]
  • Ontogenetic atlas of medicinal plants (MarSU, Yoshkar-Ola, 1997) [Google Scholar]
  • L.G. Dobrenkova, Physiological features of strawberry resistance to drought and salinity (LGU, Leningrad, 1978) [Google Scholar]
  • S.A. Dubrovnaya, Structure of natural wild strawberry populations: Fragaria vesca L. (MGU, Yoshkar-Ola, 2000) [Google Scholar]
  • J. Philip Grime, S. Pierce, The Evolutionary Strategies that Shape Ecosystems (Wiley-Blackwell, Chichester, 2012) [CrossRef] [Google Scholar]
  • N.G. Romanova, Problems of botany of south Siberia and Mongolia (AGU, Barnaul, 2015) [Google Scholar]
  • L.B. Zaugolnova, Struct. of Seed Plant Pop. and Probl. of Their Monit., 70 (1994) [Google Scholar]
  • T.P. Larkina, Perm. Agr. Rep. 2, 116 (2017) [Google Scholar]
  • J. Schulze, R. Rufener, A. Erhardt, P. Stoll, PE 54, 369 (2012) [Google Scholar]

All Figures

thumbnail Fig. 1.

Age structure of F. vesca in CP1 (a) and CP2 (b), 2015. Notes: x-direction – age conditions, y-direction – part of individuals, %.

In the text
thumbnail Fig. 1.

Age structure of F. vesca in CP1 (a) and CP2 (b), 2016. The same notes as fig.1.

In the text
thumbnail Fig. 3.

Age structure of F. vesca in CP1 (a) and CP2 (b), 2016. The same notes as fig.1.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.