Korosov A., Ganyushina N. Methods for estimating the parameters of thermoregulation in reptiles (by the example of the common viper, Vipera berus L.) // Principy èkologii. 2020. № 4. P. 88‒103. DOI: 10.15393/j1.art.2020.11322

Issue № 4

Methods of ecological investigations


Methods for estimating the parameters of thermoregulation in reptiles (by the example of the common viper, Vipera berus L.)

   Andrey Victorovich
DSc, professor, Petrozavodsk State University, korosov@psu.karelia.ru
   Natalia Dmitrievna
Petrozavodsk State University, ekoni@mail.ru
Summary: We present the analysis of long-term studies of the thermobiology of the common viper, including the use of loggers, mini-sensors for recording the body temperature of a living individual. A series of traditional and original indicators characterizing the ability of the common viper to regulate its body temperature is considered. It is shown that the so-called thermoecological indicators characterize to a greater extent the conditions of stay of animals, but not their ability to thermoregulation. The thermophysiological indicators include parameters with both good and unsatisfactory statistical properties (in terms of variability and stability). The most stable indicator is that characterizing the physiological abilities of an individual or a group of individuals – "maximum typical temperature", assessed by the regression-quantile method. The maximum typical temperature is interpreted as the upper tolerance threshold, i.e. the true specific maximum body temperature. The main parameter of the viper thermoregulation is the maximum voluntary temperature, which is fixed at the moment when the animals avoids overheating. Recording the maximum voluntary temperature requires continuous monitoring of both the body temperature and the behavior of the reptile, which makes the calculation of the maximum voluntary temperature quite difficult and time-consuming. The simplest indicator for assessing the main parameter of thermoregulation (maximum voluntary temperature) was the median active temperature for the sample above 30 °C (close to the temperature of "full activity"). To compare different groups of animals, it is strongly discouraged to use statistical indicators assessing the range of variability of normal daytime temperatures or their averaging.

© Petrozavodsk State University

Reviewer: V. A. Ilyukha
Received on: 15 December 2020
Published on: 28 December 2020


 Cherlin V. A. RF. Study of thermobiology of reptiles in the world and in the USSR / RF. 1. Study of thermobiology of reptiles in foreign countries, Principy ekologii. 2019a. No. 3. P. 163–179. DOI: 10.15393/j1.art.2019.8963.

Cherlin V. A. Study of thermobiology of reptiles in the world and in the USSR / RF 2. Study of thermobiology of reptiles in the USSR / RF, Principy ekologii. 2019b. No. 4. P. 96–132. DOI: 10.15393/j1.art.2019.8964.

Cherlin V. A. Thermobiology of reptiles. General information and research methods (manual). SPb.: Russko-Baltiyskiy informacionnyy centr «BLIC», 2010. 124 p.

Herczeg G., Saarikivi J., Gonda A., Pera J. la, Tuomola A., Merila J. Suboptimal thermoregulation in male adders (Vipera berus) after hibernation imposed by spermiogenesis, Biological Journal of the Linnean Society. 2007. Vol. 92. P. 19–27. DOI: 10.1111/j.1095-8312.2007.00827.x.

Korosov A. V. Ganyushina N. D. Maximum body temperature as a parameter of thermoregulation in reptiles: an experience of statistical evaluation on the example of the common viper (Vipera berus (L. 1758)), Zoologicheskiy zhurnal. 2021. T. 100. No. 1. P. 1–10.

Korosov A. V. Ganyushina N. D. To estimate the maximum voluntary temperature of the common viper, Izvestiya vysshih uchebnyh zavedeniy. Povolzhskiy region. Estestvennye nauki. Penza, 2019. No. 2. P. 96–104. DOI: 10.21685/2307-9150-2019-2-10.

Korosov A. V. Dual-loop negative feedback and a viper thermoregulation model, Uchenye zapiski Petrozavodskogo gosudarstvennogo universiteta. Ser. Estestvennye i tehnicheskie nauki. 2008. No. 1. P. 74–82.

Korosov A. V. Ecology of the common viper (Vipera berus L.) in the North (facts and models). Petrozavodsk: Izd-vo PetrGU, 2010. 264 p.

Korosov A. V. Is it a new word in reptile thermobiology?, Principy ekologii. 2015. No. 1. P. 77–85. DOI: http://dx.doi.org/10.15393/j1.art.2015.4162.

Lourdais O., Guillon M., DeNardo D., Blouin-Demers G. Cold climate specialization: adaptive covariation between metabolic rate and thermoregulation in pregnant vipers, Physiol Behav. 2013. Vol. 119. P. 149–155. DOI: 10.1016/j.physbeh.3013.05.041.

Niel'sen K. Animal physiology. Adaptation and environment. M.: Mir, 1982. Kn. 1. 416 c. Kn. 2. 384 c.

R Core Team (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: http://www.R-project.org/.

Shitikov V. K. Rozenberg G. S. Randomization and Bootstrap: Statistical Analysis in Biology and Ecology using R. Tol'yatti: Kassandra, 2014. 314 p.

Sinicina N. I. Gol'cberg I. A. Strunnikov E. A. Agroclimatology. L.: Gidrometeoizdat, 1973. P. 40–42.

Slonim A. D. Slonim A. D. Ecological physiology of animals. M.: Vysshaya shkola, 1971. 448 p.

Displays: 605; Downloads: 137;