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    Author(s): Robert J. Luxmoore; William W. Hargrove; M. Lynn Tharp; Wilfred M. 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: 2000
    Source: Environmental Modeling and Assessment 5 (2000) 125-137
    Publication Series: Scientific Journal (JRNL)
    PDF: Download Publication  (287 KB)


    Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilities with several scales of computer modeling for southern pine species and eastern deciduous forests. Outputs, such as forest production, evapotranspiration and carbon pools, may be compared statistically for alternative equilibrium or transient scenarios providing a statistical basis for decision making in regional assessments.

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    Luxmoore, Robert J.; Hargrove, William W.; Tharp, M. Lynn; Post, Wilfred M.; 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. 2000. Signal-transfer Modeling for Regional Assessment of Forest Responses to Environmental Changes in the Southeastern United States. Environmental Modeling and Assessment 5 (2000) 125-137


    cluster analysis, eastern deciduous forest, geographic information system, global change, Monte Carlo simulation, nitrogen deposition, ozone, scaling up, site index, southern pine forest

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