Skip to main content

Thermodynamic Orientors: How to Use Thermodynamic Concepts in Ecology

  • Conference paper
Eco Targets, Goal Functions, and Orientors

Abstract

In this chapter I will try to answer the following questions: How should we apply thermodynamic methods and concepts to ecology; how can we describe the ecosystem’s behavior in the terms of physics (and particularly, thermodynamics); and what kind of physical criteria can be used for the estimation of anthropogenic impacts on ecosystems? From the viewpoint of thermodynamics, any ecosystem is an open system far from thermodynamic equilibrium, in which the entropy production is balanced by the outflow of entropy to the environment. I suggest the “entropy pump” hypothesis: that climatic, hydrological, soil and other environmental conditions are organized in such a way that only a natural ecosystem which is specific for these conditions can be in the dynamic equilibrium (steady state). In the framework of this hypothesis I can calculate the entropy production for an ecosystem under anthropogenic stress.

By considering systems far from thermodynamic equilibrium, we can prove that the so-called exergy is a functional of a dissipative function, which is undertaken along the trajectory going from a thermodynamic equilibrium to a dynamic one. It was shown there is a close connection between the measure of an additional information (Kullback measure) and the exergy.

And finally I try to show the deep internal connection between Lyapunov functions which are the main instruments of the stability theory and basic thermodynamic concepts, especially in applications to ecology.

“…nobody knows what entropy is in reality, that is why in the debate you will always have an advantage”

J. von Neumann

“Teleology is a lady no biologist can live without, but whose company seems shameful in society”

G. von Brükke

“Thermodynamics is full of highly scientific and charming terms and concepts, giving an impression of philosophical and scientific profundity. Entropy, thermal death of the Universe, ergodicity, statistical ensemble—all these words sound very impressive posed in any order. But, placed in the appropriate order, they can help us to find the solution of urgent practical problems. The problem is how to find this order…”

(from table-talks in Moscow)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Alexeev VV (1976) Biophysics of living communities. Uspekhi fisich eskikh nauk 120(4):647–676

    Google Scholar 

  • Jørgensen SE (1992) Integration of ecosystem theories: a pattern. Kluwer Academic Publishers, Dordrecht Boston London

    Book  Google Scholar 

  • Kerner EH (1957) A Statistical mechanics of interacting biological species. Bull Math Biophys 19:121–146

    Article  Google Scholar 

  • Kerner EH (1959) Futher considerations on the statistical mechanics of biological associations. Bull Math Biophys 21:217–255

    Article  Google Scholar 

  • Khinchin AJ (1943) Mathematical foundations of statistical mechanics. Gostekhizdat, Moscow

    Google Scholar 

  • Kullback S (1959) Information theory and statistics. Wiley, New York

    Google Scholar 

  • Landau L, Lifshitz E (1964) Statistical physics. Nauka, Moscow

    Google Scholar 

  • Larcher W (1976) Ökologie der Planzen. 2nd ed, Ulmer, Stutgart

    Google Scholar 

  • MacArthur RH (1955) Fluctuations of animal population and a measure of community stability. Ecology 36:533–536

    Article  Google Scholar 

  • Malkin IG (1967) Theory of motion stability. Nauka, Moscow

    Google Scholar 

  • Margalef RA (1951) A practical proposal to stability. Publ de Inst de Biol Apl Univ de Barselona 6:5–19

    Google Scholar 

  • Rubin AB (1967) Thermodynamics of Biological Processes. Moscow Univ Press, Moscow

    Google Scholar 

  • Schneider ED, Kay JJ (1994) Complexity and thermodynamics. Towards a new ecology. Futures 26(6):626–647

    Article  Google Scholar 

  • Svirezhev YM (1976) Vito Volterra and the modern mathematical ecology. In: Volterra V Mathematical theory of struggle for existence. Nauka, Moscow (the postscript to the Russian translation of this book)

    Google Scholar 

  • Svirezhev YM (1990) Entropy as a measure of environmental degradation. Proc Int Conf Contaminated Soils, add. volume, Karlsruhe:26–27

    Google Scholar 

  • Svirezhev YM (1997) Thermodynamics and ecology. Ecological Modelling (submitted)

    Google Scholar 

  • Svirezhev YM, Logofet DO (1978) Stability of biological communities. Nauka, Moscow (English version: 1983, Mir, Moscow)

    Google Scholar 

  • Svirezhev YM, Passekov VP (1990) Fundamentals of mathematical evolutionary genetics. Kluwer Academic Publishers, Dordrecht Boston London

    Google Scholar 

  • Ulanowicz RE, Hannon BM (1987) Life and the production of entropy. Proc Royal Soc London 232:181–192

    Article  Google Scholar 

  • Weber BH, Depew DJ, Smith JD (eds) (1988) Entropy, information and evolution: new perspectives on physical and biological evolution. MIT Press, Cambridge, Massachusetts

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Svirezhev, Y. (1998). Thermodynamic Orientors: How to Use Thermodynamic Concepts in Ecology. In: Müller, F., Leupelt, M. (eds) Eco Targets, Goal Functions, and Orientors. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58769-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-58769-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63720-9

  • Online ISBN: 978-3-642-58769-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics