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oai:mountainscholar.org:10217/723722025-12-30T03:13:25Zcom_10217_100532com_10217_100000com_10217_100430com_10217_100303col_10217_100538col_10217_100433

Nguyen, Dung Tuan, author Wei, Yu, advisor Bevers, Michael, committee member Kling, Robert W., committee member 2007-01-03T08:30:13Z 2007-01-03T08:30:13Z 2012 Nguyen_colostate_0053N_11149.pdf ETDF2012400409FRWS http://hdl.handle.net/10217/72372 https://doi.org/10.25675/3.018317 Forest 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. born digital masters theses English eng Colorado State University. Libraries 2000-2019 Copyright 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. sample average approximation spatial optimization harvest scheduling mixed integer programming A spatial stochastic programming model for timber and core area management under risk of stand-replacing fire Text Master of Science (M.S.) Masters Forest and Rangeland Stewardship Colorado State University This 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). open.access