Spatial-ontogenetic structure of Globularia bisnagarica L. (Plantaginaceae) cenopopulations
The results of studying the spatial-ontogenetic structure of five cenopopulations of Globularia bisnagarica L. on the territory of the Orenburg region and the Republic of Tatarstan are presented. Analysis of the age structure using the OntoParam program algorithm revealed the heterogeneity of ontogenetic spectra in most cenopopulations. Assessment of the parameters of average age, recovery index and ageing index showed that most cenopopulations are capable of self-restoration and maintenance of numerosity. Analysis of spatial structure taking into account the ontogenetic state of individuals showed that the spatial relationships between pregenerative and generative individuals is random in most cases, which indicates the absence of any pronounced interactions between plants from these age groups. In the cenopopulation from Severny district of the Orenburg region, there is a slight sparseness in the mutual arrangement of pregenerative and generative individuals, which may be due to the influence of intraspecific competition.
- Bogoslov A. V., Shilova I. V., Parkhomenko A. S., Kritskaya T. A., Grebenyuk L. V., Kashin A. S. Current Status of Populations of Delphinium L. (Ranunculaceae, Magnoliopsida) Speciesin the Lower-Volga Region and Adjacent Territories. Povolzhsky Journal of Ecology, 2020, no. 3, pp. 271–289 (in Russian). https://doi.org/10.35885/1684-7318-2020-3-271-289
- Shilova I. V., Parkhomenko A. S., Denisov A. A., Kondratieva A. O., Kashin A. S. Ecological features of plant communities containing Globularia bisnagarica L. in the Middle and Lower Volga Region. Izvestiya of Saratov University. Chemistry. Biology. Ecology, 2021, vol. 21, iss. 1, pp. 99–113 (in Russian). https://doi.org/10.18500/1816-9775-2021-21-1-99-113
- Kondratieva A. O., Parkhomenko A. S., Bogoslov A. V., Shilova I. V., Kashin A. S. Spatial structure of Globularia bisnagarica L. (Plantaginaceae) coenopopulations. Povolzhskiy Journal of Ecology, 2021, no. 1, pp. 35–46. https://doi.org/10.35885/1684-7318-2021-1-35-46
- Uranov A. A. Age spectrum of phytocenopopulations as a function of time and energy wave processes. Biologicheskie nauki, 1975, no. 2, pp. 7–34 (in Russian).
- Zhukova L. А. Dynamics of populations of meadow plants. In: Dinamika cenopopulyacij travyanistyh rastenij [Dynamics of Cenopopulations of Herbaceons Plants]. Kiev, Naukova Dumka Publ., 1987, pp. 9–19 (in Russian).
- Glotov N. V. Estimation of the parameters of the age structure of the plant population. In: Zhizn’ populyacij v geterogennoj srede [Life of Populations in a Heterogeneous Environment]. Joshkar-Ola, Periodika Marij El Publ., 1998, pt. I, pp. 146–149 (in Russian).
- Programma dlya ocenki i sravneniya parametrov ontogeneticheskih spektrov populyacij rastenij i lishajnikov pri geterogennosti vyborki «OntoParam» (A program for assessing and comparing the parameters of ontogenetic spectra of plant and lichen populations with a heterogeneity of the sample «OntoParam»). Available at: http://marsu.ru/structur/BasicUnits/fackultet/bhf/program.php (accessed 17 February 2021) (in Russian).
- Baddeley A., Rubak E., Turner R. Spatial Point Patterns: Methodology and Applications with R. London, Chapman and Hall/CRC Press, 2015. 810 p. Available at: http://www.crcpress.com/Spatial-Point-Patterns-Methodology-and-ApplicationswithR/Baddeley-RubakTurner/9781482210200/ (accessed 27 January 2021) (in Russian).
- Teoriya prostranstvennyh tochechnyh processov v zadachah ekologii i prirodopol’zovaniya (s primeneniem paketa R) [A. A. Savel’ev, S. S. Muharamova, N. A. Chi zhikova, A. G. Pilyugin, compls. The Theory of Spatial Point Processes in Problems of Ecology and Nature Management (using the R package)]. Kazan’, Izd-vo Kazan. un-ta, 2014. 146 p. (in Russian).
- Lotwick H. W., Silverman B. W. Methods for analysing spatial processes of several types of points. Journal of the Royal Statistical Society. Series B, 1982, no. 44, pp. 406–413.
- Besag J., Diggle P. J. Simple Monte Carlo tests for spatial pattern. Applied Statistics, 1977, no. 26, pp. 327–233.
- R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria, 2020. Available at: http://www.R-project.org/ (accessed 27 January 2021).