Behavior of nonequilibrium arid ecosystems and its prediction

Behavior of nonequilibrium arid ecosystems and its prediction The succession patterns of soil-plant systems have been found to be synergetically nonlinear. Nonhomogeneous Markov chains are used to predict and manage arid grazing lands in order to maintain their self-restoration. A method for estimating their states with the use of Markov chains is proposed. Problems related to the dynamic equilibrium of slope systems subject to water erosion are considered. Comparison of the dynamics of animate and inanimate open systems has shown that their patterns are identical in terms of mathematical description. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Ecology Springer Journals

Behavior of nonequilibrium arid ecosystems and its prediction

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Publisher
Springer Journals
Copyright
Copyright © 2007 by Pleiades Publishing, Ltd.
Subject
Life Sciences; Ecology; Environment, general
ISSN
1067-4136
eISSN
1608-3334
D.O.I.
10.1134/S1067413607040029
Publisher site
See Article on Publisher Site

Abstract

The succession patterns of soil-plant systems have been found to be synergetically nonlinear. Nonhomogeneous Markov chains are used to predict and manage arid grazing lands in order to maintain their self-restoration. A method for estimating their states with the use of Markov chains is proposed. Problems related to the dynamic equilibrium of slope systems subject to water erosion are considered. Comparison of the dynamics of animate and inanimate open systems has shown that their patterns are identical in terms of mathematical description.

Journal

Russian Journal of EcologySpringer Journals

Published: Jul 10, 2007

References

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