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    Author(s): Robert J. Luxmoore; William W. Hargrove; M. Lynn Tharp; W. Mac Post; Michael W. Berry; Karen S. Minser; Wendell P. Cropper; Dale W. Johnson; Boris Zeide; Ralph L. Amateis; Harold E. Burkhart; V. Clark Baldwin; Kelly D. Peterson
    Date: 2002
    Source: Forest Ecology and Management 165 (2002) 295-304
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (131 KB)

    Description

    Management decisions concerning impacts of projected changes in environmental and social conditions on multi-use forest products and services, such as productivity, water supply or carbon sequestration, may be facilitated with signal-transfer modeling. This simulation method utilizes a hierarchy of simulators in which the integrated responses (signals) from smaller- scale process models are transferred and incorporated into the algorithms of larger spatial- and temporal-scale models of ecological and economic phenomena. Several innovative procedures germane to multi-issue sustainable forest management have been initiated in our signal-transfer modeling development for forests of the southeastern United States. These developments include response surface interpolation for multi-factor signal-transfer, use of loblolly pine modeling to infer the growth of other southern pines, determination of soil nutrient limitations to productivity, multivariate clustering as a spatial basis for defining land units relevant to forest management, and variance propagation through the modeling hierarchy. Algorithms for larger scale phenomena are shown to constrain the variance introduced from a smaller-scale in a simulation of ambient ozone exposure effects on loblolly pine timber yield. Outputs of forest variables are frequency distributions that may be statistically compared for alternative environmental or management scenarios.

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    Citation

    Luxmoore, Robert J.; Hargrove, William W.; Tharp, M. Lynn; Post, W. Mac; Berry, Michael W.; Minser, Karen S.; Cropper, Wendell P., Jr.; Johnson, Dale W.; Zeide, Boris; Amateis, Ralph L.; Burkhart, Harold E.; Baldwin, V. Clark, Jr.; Peterson, Kelly D. 2002. Addressing multi-use issues in sustainable forest management with signal-transfer modeling. Forest Ecology and Management 165 (2002) 295-304

    Keywords

    Environmental change, Monte Carlo simulation, Multivariate clustering, Site index, Spatial and temporal scaling

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https://www.fs.usda.gov/treesearch/pubs/4499