Energy Flows and Maximum Power on an Evolutionary Ecological Network Model | SpringerLink
Skip to main content

Energy Flows and Maximum Power on an Evolutionary Ecological Network Model

  • Conference paper
Advances in Artificial Life (ECAL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4648))

Included in the following conference series:

Abstract

Energy flows in ecological systems which are determined by the structure of the ecological network influence the evolution of the network itself. The total system energy throughflow as an important indicator of the co-evolution of network and flows in the ecosystem can be maximized spontaneously according to the maximum power principle. This principle should be thought as an emergent and evolutionary property of the system. To address the problem of how this principle functioning theoretically, a simple model that exhibits the long term evolution of the ecological network determined by the fast dynamics of the energy flows was presented. Maximum power with the diffusion in the phenotype space was investigated in various settings. Accordingly, the conclusion that the total energy throughflow on the network and the diversity are always positive correlated was drawn.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /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
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 17159
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 21449
Price includes VAT (Japan)
  • Compact, lightweight 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

  1. Odum, H.T.: System Ecology. John Wiley & Sons, Chichester (1983)

    Google Scholar 

  2. Odum, E.P.: Fundamentals of Ecology. W.B. Saunders Company, Philadelphia (1971)

    Google Scholar 

  3. Lotka, A.J.: Contribution to the energetics of evolution. Proceedings of the National Academy of Sciences of the United States of America 8, 147–151 (1922)

    Article  Google Scholar 

  4. Charles, A.S. (ed.): Maximum power: the ideas and applications of H.T. Odum. University Press of Colorado, Boulder (1995)

    Google Scholar 

  5. Martyusheva, L.M., Seleznevb, V.D.: Maximum entropy production principle in physics, chemistry and biology. Physics reports 426, 1–45 (2006)

    Article  Google Scholar 

  6. Felix, M., Maren, L. (eds.): Eco targets, Goal functions, and Orientors. Springer, Heidelberg (1998)

    Google Scholar 

  7. Fath, B.D., Patten, B.C.: Review of the Foundations of Network Environ Analysis. Ecosystems 2, 167–179 (1999)

    Article  Google Scholar 

  8. Fath, B.D., Patten, B.C., Choi, J.S.: Complementarity of Ecological Goal Functions. Theoretical Biology 208, 493–506 (2001)

    Article  Google Scholar 

  9. Jorgensena, S.E., Fath, B.D.: Examination of ecological networks. Ecological Modeling 196, 283–288 (2006)

    Article  Google Scholar 

  10. Fath, B.D.: Network analysis applied to large-scale cyber-ecosystems. Ecological Modeling 171, 329–337 (2004)

    Article  Google Scholar 

  11. Fath, B.D., Grant, W.E.: Ecosystems as evolutionary complex systems: A synthesis of two system-theoretic approaches based on Boolean networks. Environmental Modeling and Software 22, 693–700 (2007)

    Article  Google Scholar 

  12. Jain, S., Krishna, S.: A model for the emergence of cooperation, interdependence, and structure in evolving networks. Proceedings of the National Academy of Sciences of the United States of America 98, 543–547 (2001)

    Article  Google Scholar 

  13. Jain, S., Krishna, S.: Large extinctions in an evolutionary model: The role of innovation and keystone species. Proceedings of the National Academy of Sciences of the United States of America 99, 2055–2060 (2002)

    Article  Google Scholar 

  14. McKane, A.J.: Evolving complex food webs. The European Physical Journal B 38, 287–295 (2004)

    Article  Google Scholar 

  15. Doebeli, M., Dieckmann, U.: Evolutionary Branching and Sympatric Speciation Caused by Different Types of Ecological Interactions. The american naturalist 156, 77–101 (2000)

    Article  Google Scholar 

  16. Rossberg, A.G., Matsuda, H., Amemiya, T., Itoh, K.: Food webs: Experts consuming families of experts. Journal of Theoretical Biology 241, 552–563 (2006)

    Article  Google Scholar 

  17. Hiroshi, C.I., Ikegami, T.: Food-web formation with recursive evolutionary branching. Journal of Theoretical Biology 238, 1–10 (2006)

    Article  Google Scholar 

  18. Drossel, B., Higgs, P.G., McKane, A.J.: The Influence of Predator}Prey Population Dynamics on the Long-term Evolution of Food Web Structure. Journal of Theoretical Biology 208, 91–107 (2001)

    Article  Google Scholar 

  19. Poulin, R., Mouillot, D., Nascimento, M.G.: The relationship between species richness and productivity in metazoan parasite communities. Oecologia 137, 277–285 (2003)

    Article  Google Scholar 

  20. McCann, K.S.: The diversity-stability debate. Nature 405, 228–233 (2000)

    Article  Google Scholar 

  21. Worm, B., Duffy, J.E.: Biodiversity, productivity and stability in real food webs. Trends in Ecology and Evolution 18, 628–632 (2003)

    Article  Google Scholar 

  22. Finn, J.T.: Measures of ecosystem structure and function derived from analysis of flows. Journal of Theoretical Biology 56, 363–380 (1976)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Fernando Almeida e Costa Luis Mateus Rocha Ernesto Costa Inman Harvey António Coutinho

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, J. (2007). Energy Flows and Maximum Power on an Evolutionary Ecological Network Model. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science(), vol 4648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74913-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74913-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74912-7

  • Online ISBN: 978-3-540-74913-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics