Estimation of the growth rate of wild ungulate populations in the territory of the Saratov region by the dynamic series of their numbers
https://doi.org/10.35885/1684-7318-2021-3-293-309
Abstract
The present paper is devoted to the study of the possibility of estimating the reproductive potentials of wild ungulate populations, and possibly other large mammals, by the time series of their numbers. We have found out that this is possible, which is confirmed by the high quality of approximation of the time series of abundance by logistic curves, and the corresponding coefficients of their determination for different species ranged from 75 to 96%. For such calculations, one circumstance is necessary, which is that the population of the studied species has been briefly exposed to some unfavorable factor causing a significant reduction in its numbers with subsequent restoration to the previous level, or the time series should contain a well-expressed and extended section of the transition of the population from some lower level to the upper level of the population, passing into a stationary state. The values of the maximum exponential growth rates of ungulate populations that we obtained do not fundamentally differ from the data available in other researchers’ works. In addition, it should be borne in mind that our method for assessing the reproductive potentials of ungulates is statistical, with features accompanying all such methods, for example, in the presence of statistical errors in all determined parameters. However, the evaluation of the magnitude of these errors is a topic for a separate study.
About the Authors
I. A. KondratenkovRussian Federation
Igor A. Kondratenkov
24 Rabochaya St., Saratov 410028
M. L. Oparin
Russian Federation
Mikhail L. Oparin
24 Rabochaya St., Saratov 410028
O. S. Oparina
Russian Federation
Olga S. Oparina
24 Rabochaya St., Saratov 410028
S. V. Sukhov
Russian Federation
Sergey V. Sukhov
45/51 Universitetskaya St., Saratov 410012
References
1. Bazykin A. D. Matematicheskaya biofizika vzaimodeystvuyushchikh populyatsiy [Mathematical Biophysics of Interacting Populations]. Moscow, Nauka Publ., 1985 182 p. (in Russian).
2. Bratus A. S., Novozhilov A. S., Platonov A. P. Dinamicheskie sistemy i modeli v biologii [Dynamical Systems and Models in Biology]. Moscow, Fizmatlit Publ., 2009. 400 p. (in Russian).
3. Gilyarov A. M. Populiatsionnaia ekologiia [Population Ecology]. Moscow, Izdatel'stvo Moskovskogo gosudarstvennogo universiteta, 1990. 191 p. (in Russian).
4. Glushkov V. M. The growth rate of a population moose (Alces alces) in early winter. Samarskaia Luka: Problemy regional'noi i global'noi ekologii, 2015, vol. 24, no. 4, pp. 159–165 (in Russian).
5. Glushkov V. M., Safonov V. G., Sergeyev A. A., Shevnina M. S. Analysis of elk population dynamics in the Southern Urals. Theoretical and Applied Ecology, 2013, no. 2, pp. 153–160 (in Russian).
6. Caughey G. Analysis of Vertebrate Populations. Moscow, Mir Publ., 1979. 362 p. (in Russian).
7. The Red Book of the Saratov Region: Fungi, Lichens, Plants, Animals. Saratov, Papyrus Publ., 2021. 496 p. (in Russian).
8. Nygrén T., Pesonen M., Tykkyläinen R., Wallén M., Ruusila V. Background to the productivity of the Finnish moose population. The Herald of Game Management, 2007, vol. 4, no. 2, pp. 148–160 (in Russian).
9. Odum E. P. Basic Ecology: in 2 vols. Moscow, Mir Publ., 1986, vol. 2. 376 p. (in Russian).
10. Andersen J. Roe-deer census and population analysis by means of modified marking release technique. In: E. D. Le Cren, M. W. Holdgate, eds. The Exploitation of Natural Animal Populations. Oxford, Blackwell, 1962, pp. 72–80.
11. Kaeuffer R., Bonenfant C., Chapuis J. L., Devillard S. Dynamics of an introduced population of mouflon Ovisaries on the sub-Antarctic archipelago of Kerguelen. Ecography, 2010, vol. 33, iss. 3, pp. 435–442.
12. Kelker G. H. Computing the rate of increase for deer. Journal of Wildlife Management, 1947, vol. 11, iss. 2, pp. 177–183.
13. Morisita M. The fitting of the logistic equation to the rate of increase of population density. Researches on Population Ecology, 1965, vol. 7, iss. 1, pp. 52–55.
14. Murphy D. A. A captive elk herd in Missouri. Journal of Wildlife Management, 1963, vol. 27, iss. 4, pp. 411–414.
15. Oparin M. L., Kondratenkov I. A., Oparina O. S., Sukhov S. V., Mamaev A. B. Population dynamics factors of ungulates and wolves of the Saratov region in the 21st century. Povolzhskiy Journal of Ecology, 2018, no. 4, pp. 433–446.
16. Paterson J. T., Proffitt K., Rotella J., McWhirter D., Garrott R. Drivers of variation in the populationdynamics of bighorn sheep. Ecosphere, 2021, vol. 12, iss. 7, article number e03679. https://doi.org/10.1002/ecs2.3679
17. Peters R. M., Cherry M. J., Kilgo J. C., Chamberlain M. J., Miller K. V. White-tailed deer population dynamics following louisiana black bear recovery. Wildlife Management, 2020, vol. 84, iss. 8, pp. 1473–1482.
18. Sæther B. E., Engen S., Filli F., Aanes R., Schro Der W., Andersen R. Stochastic population dynamics of an introduced Swiss population of the Ibex. Ecology, 2002, vol. 83, iss. 12, pp. 3457–3465.
Review
For citations:
Kondratenkov I.A., Oparin M.L., Oparina O.S., Sukhov S.V. Estimation of the growth rate of wild ungulate populations in the territory of the Saratov region by the dynamic series of their numbers. Povolzhskiy Journal of Ecology. 2021;(3):293-309. (In Russ.) https://doi.org/10.35885/1684-7318-2021-3-293-309