Quantifying constraint to assess development in ecological networks

[J. Theor. Biol. 85 (1980) 223; Complexity in Ecological System Series (1997) 201] Ascendency index of community growth and development is based, in part, upon the Average Mutual Information (AMI) index of [J. Theor. Biol. 57 (1976) 355]. AMI is an average of mutual constraint on a quantum of material or energy in networks and is reputed to quantify development of ecological systems. The derivation of AMI is explained, and its meaning is illustrated with examples. We compared the AMI to an alternative application of Shannon's Theory of Communication to networks. The alternative index, which we have termed the Constraint Efficiency (CE) Index, relies upon a direct quantification of constraint around compartments [sensu Ecology 36 (1955) 536]. Unlike the AMI, where average constraint on a unit of flow in the network is revealed, the CE is based upon a total of the constraints that govern flow out of individual compartments. We compare and contrast the two measures with small networks and discuss their use.

[1]  Robert U. Ayres,et al.  Information, Entropy, and Progress: A New Evolutionary Paradigm , 1997 .

[2]  Claudia Pahl-Wostl,et al.  Temporal organization : a new perspective on the ecological network , 1990 .

[3]  F. Müller State-of-the-art in ecosystem theory , 1997 .

[4]  R. Ulanowicz Ecology, the ascendent perspective , 1997 .

[5]  Robert Costanza,et al.  Quantifying the trends expected in developing ecosystems , 1998 .

[6]  Claudia Pahl-Wostl,et al.  Information theoretical analysis of functional temporal and spatial organization in flow networks , 1992 .

[7]  J. S. Wicken On quantifying hierarchical connections in ecology , 1988 .

[8]  E. Odum Fundamentals of ecology , 1972 .

[9]  J. Finn,et al.  Measures of ecosystem structure and function derived from analysis of flows. , 1976, Journal of theoretical biology.

[10]  Robert E. Ulanowicz,et al.  Scale and Biodiversity Policy: A Hierarchical Approach , 1994 .

[11]  R. Mulholland,et al.  Ecological stability: an information theory viewpoint. , 1976, Journal of theoretical biology.

[12]  C. Pahl‐Wostl Dynamic structure of a food web model : comparison with a food chain model , 1997 .

[13]  H. Odum,et al.  Self-Organization, Transformity, and Information , 1988, Science.

[14]  E. Odum The strategy of ecosystem development. , 1969, Science.

[15]  V. Christensen Emergy-based ascendency , 1994 .

[16]  Robert E. ULANOWlCZ,et al.  Symmetrical overhead in flow networks , 1990 .

[17]  I. Aoki Comparative study of flow-indices in lake-ecosystems and the implication for maturation process , 1997 .

[18]  I. Aoki Flow-indices characterizing eutrophication in lake-ecosystems , 1995 .

[19]  Robert E. Ulanowicz,et al.  The Comparative Ecology of Six Marine Ecosystems , 1991 .

[20]  Hironori Hirata,et al.  Information theoretical analysis of ecological networks , 1984 .

[21]  Claude E. Shannon,et al.  A mathematical theory of communication , 1948, MOCO.

[22]  R. Ulanowicz,et al.  Evolution in thermodynamic perspective: An ecological approach , 1989 .

[23]  Brian D. Fath,et al.  Quantifying resource homogenization using network flow analysis , 1999 .

[24]  R. Ulanowicz An hypothesis on the development of natural communities. , 1980, Journal of theoretical biology.

[25]  R. Ulanowicz,et al.  An informational synthesis of ecosystem structure and function , 1997 .

[26]  Claudia Pahl-Wostl,et al.  Quantification of species as functional units within an ecological network , 1993 .

[27]  Robert E. Ulanowicz,et al.  A Phenomenology of Evolving Networks , 1998 .

[28]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[29]  Frederick Jelinek,et al.  Probabilistic Information Theory: Discrete and Memoryless Models , 1968 .

[30]  V. Christensen On the behavior of some proposed goal functions for ecosystem development , 1994 .

[31]  Elias L. Khalil,et al.  Evolution, Order and Complexity , 1996 .

[32]  Jørgen Salomonsen Examination of properties of exergy, power and ascendency along a eutrophication gradient , 1992 .

[33]  A. J. Lotka Contribution to the Energetics of Evolution. , 1922, Proceedings of the National Academy of Sciences of the United States of America.

[34]  V. Christensen Ecosystem maturity - towards quantification , 1995 .

[35]  G. Likens,et al.  Carbon Flow in Four Lake Ecosystems: A Structural Approach , 1978, Science.

[36]  R E Ulanowicz,et al.  Ecosystem flow networks: loaded dice? , 1991, Mathematical biosciences.

[37]  R. Macarthur Fluctuations of Animal Populations and a Measure of Community Stability , 1955 .

[38]  R. Ulanowicz Growth and development : ecosystems phenomenology , 1988 .

[40]  Claudia Pahl-Wostl,et al.  Organization of the dynamic network structure in the dimension of time , 1990 .

[41]  B. C. Patten,et al.  Ecosystems emerging:: 4. growth , 2000 .

[42]  Felix Müller,et al.  Eco Targets, Goal Functions, and Orientors , 1998 .

[43]  Daniel Pauly,et al.  The stability of trophic mass-balance models of marine ecosystems: a comparative analysis , 1997 .

[44]  R. Gallager Information Theory and Reliable Communication , 1968 .

[45]  C. S. Holling Resilience and Stability of Ecological Systems , 1973 .

[46]  Sven Erik Jørgensen,et al.  Ecosystems emerging: toward an ecology of complex systems in a complex future , 1992 .

[47]  Bernard C. Patten,et al.  Network integration of ecological extremal principles: exergy, emergy, power, ascendency, and indirect effects , 1995 .

[48]  Fazlollah M. Reza,et al.  Introduction to Information Theory , 2004, Lecture Notes in Electrical Engineering.