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dc.contributor.advisorDwyer, John P. (John Patrick), 1946-eng
dc.contributor.authorGodsey, Larry D., 1967-eng
dc.coverage.spatialMissourieng
dc.date.issued2010eng
dc.date.submitted2010 Falleng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on December 7, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. John P. Dwyer.eng
dc.descriptionVita.eng
dc.descriptionPh. D. University of Missouri--Columbia 2010.eng
dc.description.abstractLocated primarily in the southeastern United States, Loblolly pine (Pinus taeda L.) is a variety of Southern yellow pine that is often planted by non-industrial private landowners seeking a beneficial long-term investment from their land. More recently, loblolly pine has received considerable attention as a potential species for agroforestry, carbon sequestration, and bio-energy plantations due to its ability to adapt to numerous site locations and its fast growth. Although the Ozark region is outside its native range, loblolly pine has shown potential as a fast growing, highly marketable option for landowners in this region who wish to diversify returns from their land. Understanding how loblolly pine management decisions impact their financial bottom line is a key to adoption and incorporation into an agroforestry practice. The Loblolly Pine Decision Support Tool (LPDST) incorporates growth and yield predictions with financial analysis in a simple format targeted to landowners with little forestry background. As a planning tool for landowners, the LPDST provides options for various spacing configurations, as well as options for pine straw harvest. The LPDST predicts average diameter at breast height (dbh) and height within a 99% confidence interval, and quickly reflects the impact of establishment, management, harvesting and marketing decisions on net present value (NPV), annual equivalent value (AEV), internal rate of return (IRR), modified internal rate of return (MIRR), and pay-back period (PBP). This study details the development of the LPDST and the processes for which the model is tested for reliability, accuracy, and sensitivity to decisions regarding establishment, management, harvesting and marketing of loblolly pine.eng
dc.description.bibrefIncludes bibliographical references.eng
dc.format.extentx, 193 pageseng
dc.identifier.oclc706850982eng
dc.identifier.urihttps://hdl.handle.net/10355/10264
dc.identifier.urihttps://doi.org/10.32469/10355/10264eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshForests and forestry -- Economic aspectseng
dc.subject.lcshLoblolly pine -- Growtheng
dc.subject.lcshLoblolly pine -- Seedlingseng
dc.subject.lcshLoblolly pine -- Marketingeng
dc.titleModeling the financial impact of management decisions on loblolly pine (Pinus taeda) productioneng
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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