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dc.contributor.advisorLarsen, David R. (David Rolf)eng
dc.contributor.advisorNygren, Pekkaeng
dc.contributor.authorLu, Miaoer, 1977-eng
dc.date.issued2006eng
dc.date.submitted2006 Summereng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file viewed on (May 1, 2007)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionVita.eng
dc.descriptionThesis (Ph.D.) University of Missouri-Columbia 2006.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Forestry.eng
dc.description.abstractAs a flood-tolerant and fast-growing species, cottonwood is a promising species in flood plain and short-rotation forestry. Understanding tree growth will provide critical assistance in flood plain forest management and forest configuration practice. Computer based tree growth simulation models provide a complementary tool for forest managers and scientists to learn the underlying tree growth mechanisms and a tree's response to different growing environments. LIGNUM, a functional-structural tree growth simulation model, was applied to simulation of the cottonwood growth in a flood plain area in central Missouri. The key characteristics of the LIGNUM model are the linkage between tree spatial structure and physiological function. L-system was adopted in structural derivation of the tree. Physiological processes including photosynthesis and growth allocation were embedded in LIGNUM model. Communication between L-system and LIGNUM model was implemented during model simulation. Based on the general framework from the previous LIGNUM version, the application of cottonwood growth simulation with LIGNUM modeling method required a few new developments, including real photon flux data input, a voxel space photon flux interception module, a photosynthesis product module, three nested short time modeling steps, and stand growth simulation. The link to actual weather data enabled better convergence of model results with real world tree growth. The voxel space photon flux interception module replaced tree compartments with regular voxels as the calculation unit, resulting in efficient photon flux interception operation. Three nested short time steps were used according to the growth speed of cottonwood to capture the rapid change in tree structure. The biochemically-derived model on photosynthetic production Farquhar's model - was applied to accumulate net leaf CO2 assimilation all over the tree. The application of LIGNUM in mono-cohort, even-aged, and tightly spaced cottonwood stand is a new extension of the LIGNUM model.The simulation results reflected well the real cottonwood growth for the first four years. Simulated results respond logically to photon flux input variation. The model is sensitive to several parameters in the photosynthesis module. Further application of LIGNUM model can be used in more complicated forest research.eng
dc.identifier.merlinb58484280eng
dc.identifier.oclc123905102eng
dc.identifier.urihttp://hdl.handle.net/10355/4338eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollectionUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations.eng
dc.subject.lcshCottonwoodeng
dc.subject.lcshTrees -- Growtheng
dc.subject.lcshForest managementeng
dc.subject.lcshFloodplain managementeng
dc.titleSimulating cottonwood tree growth in flood plains using the LIGNUM modeling methodeng
dc.typeThesiseng
thesis.degree.disciplineForestry (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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