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Spatio-temporal Statistical Modeling: Climate Impacts due to Bioenergy Crop Expansion

Abstract Large-scale cultivation of perennial bioenergy crops (e.g., miscanthus and switch-

grass) offers unique opportunities to mitigate climate change through avoided fossil fuel use and associated greenhouse gas reduction. Although conversion of existing agriculturally intensive lands (e.g., maize and soy) to perennial bioenergy cropping systems has been shown to reduce near-surface temperatures, unintended consequences on natural water resources via depletion of soil moisture may offset these benefits. In the effort of the cross-fertilization across the disciplines of physics-based modeling and spatio-temporal statistics, three topics are investigated in this dissertation aiming to provide a novel quantification and robust justifications of th... (more)
Created Date 2018
Contributor Wang, Meng (Author) / Kamarianakis, Yiannis (Advisor) / Georgescu, Matei (Advisor) / Fotheringham, Stewart (Committee member) / Moustaoui, Mohamed (Committee member) / Reiser, Mark (Committee member) / Arizona State University (Publisher)
Subject Statistics
Type Doctoral Dissertation
Extent 216 pages
Language English
Note Doctoral Dissertation Statistics 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis