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Kumar, Praveen Ruddell, Benjamin Lyle 2015-09-28T21:57:08Z 2015-09-28T21:57:08Z 10000-01-01 2008 2008 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. Made available in DSpace on 2015-09-28T21:57:08Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3347503.pdf: 2998603 bytes, checksum: fab6d2784f876e0787fd9186c6b4f193 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 89159 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 162 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/87878 (MiAaPQ)AAI3347503 eng Hydrology Identification and Characterization of Ecohydrologic Process Networks text University of Illinois at Urbana-Champaign Dissertation Ph.D.