Applying Thermodynamic Orientors: The Use of Exergy as an Indicator in Environmental Management

The importance of thermodynamic laws at various hierarchical levels of living systems is discussed, and the same principles appear equally relevant to populations, societies and even ecosystems. Nevertheless, while at lower hierarchical levels interpretation appears relatively clear, it has been very difficult to transport the thermodynamic concepts out of their pure physicochemical context and to make evident their importance at other levels, e. g. ecosystem. Since thermodynamic relationships cannot easily be measured at the ecosystem level, theoretical assumptions have to be made in order to estimate thermodynamic balances of ecosystems. Moreover, an adequate data background must exist to make satisfactory calculations. The application of thermodynamic concepts in the analysis of ecosystems is exemplified, mainly focusing on the use of exergy, a well-known concept from energetic analysis of physical systems. The methodology to perform exergy estimations is described and difficulties discussed. Nevertheless, attempts made from other thermodynamic directions of interpreting ecosystems are also referred. The exergy concept is derived and its meaning in describing the condition of an ecosystem is discussed, comparing two exergy based ecological indicators, the Exergy Index and Specific Exergy, with several ecosystem properties, in the scope of ecosystem biological integrity assessment. Several examples of application of thermodynamic orientors are reported concerning ecological structures and balances of lakes, evaluation of terrestrial systems, and agro-ecosystems. Finally, the advantages of thermodynamically based holistic ecological indicators in comparison to other ecological indicators are discussed.

[1]  Sven Erik Jørgensen,et al.  Analysis of the properties of exergy and biodiversity along an estuarine gradient of eutrophication , 1997 .

[2]  S. Nielsen Optimization of exergy in a structural dynamic model , 1995 .

[3]  Michael McAleer,et al.  Proceedings of the International Congress on Modelling and Simulation , 1995 .

[4]  Sven Erik Jørgensen,et al.  Emergy, environ, exergy and ecological modelling , 1995 .

[5]  Sven Erik Jørgensen Review and comparison of goal functions in system ecology , 1994 .

[6]  Ichiro Aoki,et al.  Holological study of lakes from an entropy viewpoint - Lake Mendota , 1989 .

[7]  Søren Nors Nielsen,et al.  Strategies for structural-dynamic modelling , 1992 .

[8]  Sven Erik Jørgensen,et al.  Integration of ecosystem theories , 1992 .

[9]  James J. Kay,et al.  Thermodynamics and Measures of Ecological Integrity , 1992 .

[10]  Karl Sigmund,et al.  What is life? The next fifty years , 1996, Complex..

[11]  Sven Erik Jørgensen,et al.  A holistic approach to ecological modelling , 1979 .

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

[13]  E. D. Schneider,et al.  Life as a manifestation of the second law of thermodynamics , 1994 .

[14]  T. Cavalier-smith The Evolution of genome size , 1985 .

[15]  V. Christensen,et al.  Towards quantification of ecological sustainability in farming systems analysis , 1995 .

[16]  James J. Kay,et al.  ------------------------------------------------------------------------Embracing Complexity : The Challenge of the Ecosystem Approach , 1994 .

[17]  Jorgensen,et al.  The growth rate of zooplankton at the edge of chaos: ecological models , 1995, Journal of theoretical biology.

[18]  S. Nielsen Modelling structural dynamical changes in a Danish shallow lake , 1994 .

[19]  J. Kay,et al.  Ecological Integrity and the Management of Ecosystems , 1993 .

[20]  E. D. Schneider,et al.  Complexity and thermodynamics: Towards a new ecology , 1994 .

[21]  Ichiro Aoki,et al.  Entropy laws in ecological networks at steady state , 1988 .

[22]  M. Eigen,et al.  Emergence of the Hypercycle , 1979 .

[23]  James J. Kay,et al.  Order from Disorder : The Thermodynamics of Complexity in Biology , 2007 .

[24]  J. Luvall,et al.  Thermal remote sensing methods in landscape ecology , 1991 .

[25]  M. Eigen,et al.  The Hypercycle: A principle of natural self-organization , 2009 .