Biological Information and Dormancy in Aquatic Population Modeling

  • Victor R. AlekseevEmail author
Part of the Monographiae Biologicae book series (MOBI, volume 92)


The importance of biological information in life activity of organisms and superorganisms at the overlying levels is not disputed by anyone, but it remains an area with scant investigation. There are several reasons, starting with the blurriness of the very concept of information and ending with methodological difficulties in its quantitative data tallying and measurement. Diapause is one of the most studied adaptations based on the detection of information signals about the state of the environment and its upcoming seasonal reconstructions and seems to be one of the most convenient bioinformational object for studying at this stage of development of this branch of science. The very significant progress of object-oriented modeling in recent decades provides a methodological basis for such studies. Different aspects of Shannon’s theory of information in biological systems are also discussed.


Shannon’s theory of information Use of biological information Effectiveness of biological functions Shannon index, Informative links Evaluation of biological information Biological informative system 



I appreciate very much the kind help in improving my English and productive discussion with Professor Eduardo Vincente (Valencia University, Spain). This section was prepared with the financial support of RFFI Grant 17-04-00027. The study was partly supported by Russian Academy of Science, topics 65.4 and 65.5.


  1. Alekseev VR (1990) Diapause in crustaceans: ecological and physiological aspects. Nauka Academic Publishers, Moscow, 144 pp (in Russian)Google Scholar
  2. Alekseev VR, Fiks BV (1989) The population dynamics model of the planktonic Cyclopid Mesocyclops leuckarti (Claus), based on Photoperiodism. Transof Zool Inst USSR Acad sci 205:96–107 (in Russian)Google Scholar
  3. Alekseev VR, Kazantseva TI (2007) The usage of individual-oriented model in studies on the role of the maternal effect in the reproductive switch in Cladocera. Zhurnal obshchei biologii 68(3):242–251Google Scholar
  4. Alekseev VR, Kazantseva TI (2015) The role of chemoreception in forming of Daphnia longispina sustainable population (the simulation experiments). Zhurnal obshchei biologii 76(5):377–389PubMedGoogle Scholar
  5. Alekseev VR, Umnov AA (2002) The role of trophic and signal factors in diapause induction and seasonal dynamics in a Daphnia longispina population: a simulation model. Verh Int Verein Limnol 27:3927–3932Google Scholar
  6. Danilevsky AS (1961) Photoperiodism and seasonal development of insects. Leningrad University Press (in Russian)Google Scholar
  7. Ichas M (1960) Protein text. Theory of information in biology, Moscow, 399 p (in Russian)Google Scholar
  8. Ivlev VS (1961) Experimental ecology of the feeding of fish. Yale University Press, New York, p 302Google Scholar
  9. Khailov KM (1966) The problem of links and organization in life systems’ evolution. Russ J Philos:4Google Scholar
  10. Krylov PI (1989) Freshwater predative zooplankton feeding. Hydrobiology, Moscow, 146 p (in Russian)Google Scholar
  11. Lampert W (2011) Daphnia: development of a model organism in ecology and evolution. Excell Ecol 21:1–275Google Scholar
  12. Levich AP (1980) Structure of ecological communities. MGU Publication, pp 3–181 (in Russian)Google Scholar
  13. Levich AP (1983) Biological system languages. Human and biosphere 8:68–77 (in Russian)Google Scholar
  14. Mandelbrot B (1972) Theory of information and psycholinguistic. Mathematical methods in social sciencesGoogle Scholar
  15. Naumov NP (1973) Signal biological fields and their significance to animals. J Commun Biol 74:P808–P817 (in Russian, English summary)Google Scholar
  16. Schwarz SS, Piaskolova OA, Dobrinskaya AA, Runkova GG (1976) Group effect in aquatic animals population and chemical ecology. Nauka Academic Publishers, 151 p (in Russian)Google Scholar
  17. Seravin LN (1973) Theory of information from a point of view of biologist. Nauka Academic Publishers, 160 p (in Russian)Google Scholar
  18. Setrov MI (1975) Informative processes in biological systems. Nauka Academic Publishers, 155 p (in Russian)Google Scholar
  19. Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423, 623–656CrossRefGoogle Scholar
  20. Shmalhausen II (1968) Cybernetic questions in biology. Nauka Academic Publishers, 224 pGoogle Scholar
  21. von Bertalanffy L (1969) General system theory. George Braziller, New York, p 136Google Scholar
  22. Wiener N (1961) Cybernetics or control and communication in the animal and the machine. M.I.T. Press, New York, 212pGoogle Scholar
  23. Willis JC (1922) Age and area, Cambridge.
  24. Zelikman EA (1977) Non-trophic regulatory interactions among marine invertebrates. Ocean Biol 2 (in Russian)Google Scholar
  25. Zipf GK (1949) Human behavior and the principle of least effort, CambridgeGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Zoological Institute of Russian Academy of SciencesSt. PetersburgRussia

Personalised recommendations