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University of Illinois at Urbana-Champaign

Identification and Characterization of Ecohydrologic Process Networks

Abstract

dc:description

However, all systems studied respond in a unified way to the mean Shannon entropy, which is a measure of the mean stochastic variability in the system in a given state. More Shannon entropy causes more information flow and more emergent self-organized feedback behavior in all systems. Two unifying principles, the Information Production Hypothesis and the Moderate Entropy Hypothesis, are proposed to explain how ecohydrological systems organize themselves in response to stochastic variability. It turns out that the stochastic variability, in addition to physical quantities such as the air temperature, is a fundamental determinant of the organization of complex adaptive ecohydrological systems.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ruddell, Benjamin Lyle
Contributors dc:contributor
  • Kumar, Praveen

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3347503
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/87878

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ruddell, Benjamin Lyle. Identification and Characterization of Ecohydrologic Process Networks. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/87878