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    Author(s): David A. MacLean
    Date: 2000
    Source: In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 305-312.
    Publication Series: General Technical Report (GTR)
    Station: North Central Research Station
    PDF: View PDF  (694.86 KB)

    Description

    Spruce budworm (Choristoneura fumiferana Clem.) outbreaks cause severe mortality and growth loss of spruce and fir forest over ranch of eastern North America. The Spruce Budworm Decision Support System (DSS) links prediction and interpretation models to the ARC/1NFO GIS, under an ArcView graphical user interface. It helps forest managers predict budworm outbreak effects on forest structure and productivity, forecast forest growing stock and sustainable harvest levels, optimize protection (biological insecticide use) programs, and use silviculture and harvest scheduling to restructure forests to reduce future damage. The Spruce Budworm DSS has been operationally implemented on 8 million ha of susceptible forest in the province of New Brunswick, and is being implemented on test landbases in Quebec, Ontario, and Alberta. The use of inventory and monitoring data in the DSS will be described in four areas: stand growth model calibration, model validation, pest monitoring, and forest stratification for calculating marginal timber supply benefits.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    MacLean, David A. 2000. Integrated permanent plot and aerial monitoring for the spruce budworm decision support system. In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 305-312.

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