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A spatial stochastic programming model for timber and core area management under risk of stand-replacing fire

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dc.contributor.authorNguyen, Dung Tuan, author
dc.contributor.authorWei, Yu, advisor
dc.contributor.authorBevers, Michael, committee member
dc.contributor.authorKling, Robert W., committee member
dc.date.accessioned2007-01-03T08:30:13Z
dc.date.available2007-01-03T08:30:13Z
dc.date.issued2012
dc.description.abstractForest harvest scheduling has been modeled using deterministic and stochastic programming models. Past models seldom address explicit spatial forest management concerns under the influence of natural disturbances. In this research study, we employ multistage full recourse stochastic programming models to explore the challenges and advantages of building spatial optimization models that account for the influences of random stand-replacing fires. Our exploratory test models simultaneously consider timber harvest and mature forest core area objectives. Each model run reports first-period harvesting decisions for each stand based on a sample set of random fire. We integrate multiple model runs to evaluate the persistence of period-one solutions under the influence of stochastic fires. Follow-up simulations were used to support multiple comparisons of different candidate forest management alternatives for the first time period. Test case results indicate that integrating the occurrence of stand-replacing fire into forest harvest scheduling models could improve the quality of long-term spatially explicit forest plans.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierNguyen_colostate_0053N_11149.pdf
dc.identifierETDF2012400409FRWS
dc.identifier.urihttp://hdl.handle.net/10217/72372
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectsample average approximation
dc.subjectspatial optimization
dc.subjectharvest scheduling
dc.subjectmixed integer programming
dc.titleA spatial stochastic programming model for timber and core area management under risk of stand-replacing fire
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineForest and Rangeland Stewardship
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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