{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/87878"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/87878","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Identification and Characterization of Ecohydrologic Process Networks","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Ruddell, Benjamin Lyle"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Kumar, Praveen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-28T21:57:08Z","date_published":"2015-09-28T21:57:08Z","updated_at":"2026-07-22T22:26:31Z","subjects":["Hydrology"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3347503"],"render_values":[{"text":"(MiAaPQ)AAI3347503","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/87878","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kumar, Praveen"]},{"key":"dc:creator","label":"Author","values":["Ruddell, Benjamin Lyle"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-28T21:57:08Z","10000-01-01","2008"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Hydrology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/87878","(MiAaPQ)AAI3347503"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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. 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