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    Author(s): Don Vandendriesche
    Date: 2008
    Source: In: Havis, Robert N.; Crookston, Nicholas L., comps. 2008. Third Forest Vegetation Simulator Conference; 2007 February 13–15; Fort Collins, CO. Proceedings RMRS-P-54. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 116-122
    Publication Series: Proceedings (P)
    Station: Rocky Mountain Research Station
    PDF: Download Publication  (685 B)

    Description

    Recently, several new computer programs have been developed to assist in landscape analysis. The “Sequential Processing Routine for Arraying Yields” (SPRAY) program was designed to run a group of stands with particular treatment activities to produce vegetation yield profiles for forest planning. SPRAY uses existing Forest Vegetation Simulator (FVS) software coupled with a user interface that allows easy input of stand types, their associated silvicultural prescriptions, and possible timing options. Additionally, two support programs that facilitate data processing and interpretation are available. The “Combine” program was developed to summarize data at the strata level. This entails compiling output from individual samples (i.e. inventory plots or stands) and reporting composite values that can be used by SPRAY during batch processing. The “Yield Examination Program” (YEP) provides a graphical display of the vegetation yield profiles. YEP imports data from SPRAY output files to populate the data sources used for rendering scatter plots. A brief synopsis of each program is presented.

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    Citation

    Vandendriesche, Don. 2008. Landscape analysis software tools. In: Havis, Robert N.; Crookston, Nicholas L., comps. 2008. Third Forest Vegetation Simulator Conference; 2007 February 13–15; Fort Collins, CO. Proceedings RMRS-P-54. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 116-122

    Keywords

    forest management, forest planning, growth and yield, vegetation dynamics, habitat modeling, carbon inventory, prognosis model, landscape dynamics, fire, fuels, climate change, economics, forest health

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