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Application of the Hurst exponent in ecology

descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 2011 English Publisher:Elsevier BVJournal:Computers & Mathematics with Applications, volume 61, pages 2,129-2,131 (issn: 0898-1221, Copyright policy )
Authors: Wang, Yu-Zhi; Li, Bo; Wang, Ren-Qing; Su, Jing; Rong, Xiao-Xia;

doi: 10.1016/j.camwa.2010.08.095

Application of the Hurst exponent in ecology

Abstract

AbstractA brief introduction to the Hurst exponent in ecology is given, and the application of the method to rodent populations is illustrated. Results show that the Hurst exponent is very convenient and effective in detecting nonlinear systems in natural populations.

Related Organizations
Keywords

Hurst exponent, Computational Mathematics, Ecology, Computational Theory and Mathematics, Modelling and Simulation, Nonlinear

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    popularity
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    		 Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
hybrid