Rocky Mountain Research Station Publications
RMRS Online Publication - Journal
Articles, External Publications, and Special Reports
A spatial stochastic programming model for timber and core area management under risk of stand-replacing fire
Nguyen, Dung Tuan. 2012. A spatial stochastic programming model for timber and core area management under risk of stand-replacing fire. Fort Collins, CO: Colorado State University. Thesis. 43 p.
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.
Keywords: forest harvest scheduling, deterministic and stochastic programming models
About PDFs: For best results, do not open the PDF in your Web browser. Right-click on the PDF link to download the PDF file directly to your computer. Click here for more PDF help.
PDF File Size: 515 K
Title: RMRS Other
Publications: A spatial stochastic programming model for timber
and core area management under risk of stand-replacing fire
Electronic Publish Date: September 30, 2013
Last Update: September 30, 2013
RMRS Publications | Order a publication | Contact Us