Self-organization of tropical seasonal rain forest in southwest China

How to measure development of ecosystems is both a theoretical and practical question in ecology. Species richness and biomass accumulation are familiar figures of merit, but they cannot be instant watched. Self-organization is a tacit character. However, methods to measure the degree of self-organization of ecosystem are problematic. To this end Lin et al. (2009) have devised indicators of energy capture and dissipation so that self-organization defined via maximum energy dissipation can be quantified easily. Here the method is used to analyze long-term data (2004–2006) of a tropical seasonal rain forest included in the ChinaFLUX program. Three years of average self-organization values were clearly separated by seasonal variation. Reflection and long wave radiation are the main two pathways of energy loss. For tropical seasonal rain forest studied, long wave radiation contributed most to energy loss, and was negatively correlated with energy capture ability (Rn/DR). The nocturnal difference between canopy and air temperatures had a strong negative correlation with the long wave radiation loss ratio. However, the long wave radiation loss ratio was slightly lower than the reflection loss ratio in rainy season, when values were very low. Precipitation and wind had significant impact on energy dissipation ability in the hot dry season, but the correlation coefficients between precipitation and wind with thermal response numbers (TRNs) were very low. The results indicated that the self-organization estimation system based on “maximum energy dissipation theory” is applicable for tropical forest.

[1]  P. Reich,et al.  The Influence of Functional Diversity and Composition on Ecosystem Processes , 1997 .

[2]  Min Cao,et al.  Tropical forests of Xishuangbanna, China , 2006 .

[3]  J. Schnakenberg,et al.  G. Nicolis und I. Prigogine: Self‐Organization in Nonequilibrium Systems. From Dissipative Structures to Order through Fluctuations. J. Wiley & Sons, New York, London, Sydney, Toronto 1977. 491 Seiten, Preis: £ 20.–, $ 34.– , 1978 .

[4]  Felix Müller,et al.  Handbook of ecosystem theories and management , 2000 .

[5]  D. Wardle,et al.  The Influence of Island Area on Ecosystem Properties , 1997 .

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

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

[8]  P. Vitousek,et al.  The Effects of Plant Composition and Diversity on Ecosystem Processes , 1997 .

[9]  Ichiro Aoki,et al.  Min-Max principle of entropy production with time in aquatic communities , 2006 .

[10]  Rainer Baumann,et al.  Environmental Indication: A Field Test of an Ecosystem Approach to Quantify Biological Self-Organization , 2001, Ecosystems.

[11]  Arto Annila,et al.  Ecological succession as an energy dispersal process , 2010, Biosyst..

[12]  L. Sciascia,et al.  Spatio-temporal perturbation of the dynamics of the ferroin catalyzed Belousov-Zhabotinsky reaction in a batch reactor caused by sodium dodecyl sulfate micelles. , 2008, The journal of physical chemistry. B.

[13]  W. Ashby,et al.  The Physical Origin of Adaptation by Trial and Error , 1945 .

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

[15]  L. I. Kheifets Periodic liquid-phase reactions with gas liberation on porous catalysts , 1985 .

[16]  S. Jørgensen Integration of Ecosystem Theories: A Pattern , 1994, Ecology & Environment.

[17]  R. H. Simoyi,et al.  Experimental studies of spatial patterns produced by diffusion–convection–reaction systems , 1997 .

[18]  Lord Rayleigh,et al.  LIX. On convection currents in a horizontal layer of fluid, when the higher temperature is on the under side , 1916 .

[19]  Yiping Zhang,et al.  Assessing self-organization of plant communities—A thermodynamic approach , 2009 .

[20]  G. Dewel,et al.  The search for Turing structures , 1987 .

[21]  F. Rossi,et al.  Chemical self-organization in self-assembling biomimetic systems , 2009 .

[22]  Eric Smith,et al.  On the logical relationship between natural selection and self‐organization , 2006, Journal of evolutionary biology.

[23]  Min Cao,et al.  Tree species composition of a seasonal rain forest in Xishuangbanna, Southwest China , 1996 .

[24]  Arto Annila,et al.  Why did life emerge? , 2008, International Journal of Astrobiology.