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Modeling maximum size-density relationships of loblolly pine (Pinus taeda L.) plantations

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dc.contributor.authorVanderSchaaf, Curtis Leeen
dc.contributor.committeechairBurkhart, Harold E.en
dc.contributor.committeememberZedaker, Shepard M.en
dc.contributor.committeememberReynolds, Marion R. Jr.en
dc.contributor.committeememberOderwald, Richard G.en
dc.contributor.departmentForestryen
dc.date.accessioned2014-03-14T20:18:03Zen
dc.date.adate2006-11-30en
dc.date.available2014-03-14T20:18:03Zen
dc.date.issued2006-10-30en
dc.date.rdate2007-11-30en
dc.date.sdate2006-11-07en
dc.description.abstractSelf-thinning quantifies the reduction in tree numbers due to density-dependent mortality. Maximum size-density relationships (MSDRs) are a component of self-thinning that describe the maximum tree density per unit area obtainable for a given average tree size, often quadratic mean diameter (D). An MSDR species boundary line has been defined as a static upper limit of maximum tree density -- D relationships that applies to all stands of a certain species within a particular geographical area. MSDR dynamic thinning lines have been defined as the maximum tree density obtainable within an individual stand for a particular D which have been shown to vary relative to planting density. Results from this study show that differences in boundary levels of individual stands cause the MSDR species boundary line slope estimate to be sensitive to the range of planting densities within the model fitting dataset. Thus, a second MSDR species boundary line was defined whose slope is the average slope of all MSDR dynamic thinning lines. Mixed-models are presented as a statistical method to obtain an estimate of the population average MSDR dynamic thinning line slope. A common problem when modeling self-thinning is to determine what observations are within generally accepted stages of stand development. Segmented regression is presented as a statistical and less subjective method to determine what observations are within various stages of stand development. Estimates of D and trees per acre (N) where MSDR dynamic thinning lines begin and end on the logarithmic scale were used as response variables and predicted as a function of planting density. Predictions of MSDR dynamic thinning line beginning and ending D and N are used in an alternative MSDR dynamic thinning line slope estimation method. These models show that the maximum value of Reineke's Stand Density Index (SDI) varies relative to planting density. By relating planting density specific Zone of Imminent Competition Mortality boundaries to a MSDR species boundary line, self-thinning was found not to begin at a constant relative SDI. Thus, planting density specific Density Management Diagrams (DMD) showed that self-thinning began at 40 to 72% for planting densities of 605 and 2722 seedlings per acre, respectively.en
dc.description.degreePh. D.en
dc.identifier.otheretd-11072006-154916en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11072006-154916/en
dc.identifier.urihttp://hdl.handle.net/10919/29489en
dc.publisherVirginia Techen
dc.relation.haspartvanderschaaf_revised_ETD.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectsize-density trajectoriesen
dc.subjectstand density indexen
dc.subjectdensity management diagramsen
dc.subjectself-thinningen
dc.subjectmixed modelsen
dc.titleModeling maximum size-density relationships of loblolly pine (Pinus taeda L.) plantationsen
dc.typeDissertationen
thesis.degree.disciplineForestryen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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