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
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Odum, H.T.: System Ecology. John Wiley & Sons, Chichester (1983)
Odum, E.P.: Fundamentals of Ecology. W.B. Saunders Company, Philadelphia (1971)
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)
Charles, A.S. (ed.): Maximum power: the ideas and applications of H.T. Odum. University Press of Colorado, Boulder (1995)
Martyusheva, L.M., Seleznevb, V.D.: Maximum entropy production principle in physics, chemistry and biology. Physics reports 426, 1–45 (2006)
Felix, M., Maren, L. (eds.): Eco targets, Goal functions, and Orientors. Springer, Heidelberg (1998)
Fath, B.D., Patten, B.C.: Review of the Foundations of Network Environ Analysis. Ecosystems 2, 167–179 (1999)
Fath, B.D., Patten, B.C., Choi, J.S.: Complementarity of Ecological Goal Functions. Theoretical Biology 208, 493–506 (2001)
Jorgensena, S.E., Fath, B.D.: Examination of ecological networks. Ecological Modeling 196, 283–288 (2006)
Fath, B.D.: Network analysis applied to large-scale cyber-ecosystems. Ecological Modeling 171, 329–337 (2004)
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)
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)
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)
McKane, A.J.: Evolving complex food webs. The European Physical Journal B 38, 287–295 (2004)
Doebeli, M., Dieckmann, U.: Evolutionary Branching and Sympatric Speciation Caused by Different Types of Ecological Interactions. The american naturalist 156, 77–101 (2000)
Rossberg, A.G., Matsuda, H., Amemiya, T., Itoh, K.: Food webs: Experts consuming families of experts. Journal of Theoretical Biology 241, 552–563 (2006)
Hiroshi, C.I., Ikegami, T.: Food-web formation with recursive evolutionary branching. Journal of Theoretical Biology 238, 1–10 (2006)
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)
Poulin, R., Mouillot, D., Nascimento, M.G.: The relationship between species richness and productivity in metazoan parasite communities. Oecologia 137, 277–285 (2003)
McCann, K.S.: The diversity-stability debate. Nature 405, 228–233 (2000)
Worm, B., Duffy, J.E.: Biodiversity, productivity and stability in real food webs. Trends in Ecology and Evolution 18, 628–632 (2003)
Finn, J.T.: Measures of ecosystem structure and function derived from analysis of flows. Journal of Theoretical Biology 56, 363–380 (1976)
Author information
Authors and Affiliations
Editor information
Rights 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)