Stochastically generating tree diameter lists to populate forest stands based on the linkage variables, forest type and stand age.

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Description

Forest inventory data were used to develop a stand-age-driven, stochastic predictor of unit-area, frequency-weighted lists of breast high tree diameters (DBH). The average of mean statistics from 40-simulation prediction sets of an independent 78-plot validation dataset differed from the observed validation means by 0.5 cm for DBH, and by 12 trees/h for density. The 40-simulation average of standard deviation, quartile range, maximum value and minimum value differed from the validation dataset, respectively, by 0.3, 1.3, 0.6 and 1.5 cm for DBH, and 10, 42, 29, and 54 trees/h for density. In addition, test statistics were also computed individually for each ... continued below

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7 pages

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Parresol, B.R. & Lloyd, F.T. August 31, 2003.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Savannah River Forest Station
    Publisher Info: USDA Forest Service, Savannah River, New Ellenton, SC (United States)
    Place of Publication: New Ellenton, South Carolina

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Description

Forest inventory data were used to develop a stand-age-driven, stochastic predictor of unit-area, frequency-weighted lists of breast high tree diameters (DBH). The average of mean statistics from 40-simulation prediction sets of an independent 78-plot validation dataset differed from the observed validation means by 0.5 cm for DBH, and by 12 trees/h for density. The 40-simulation average of standard deviation, quartile range, maximum value and minimum value differed from the validation dataset, respectively, by 0.3, 1.3, 0.6 and 1.5 cm for DBH, and 10, 42, 29, and 54 trees/h for density. In addition, test statistics were also computed individually for each of the 40 single simulations of the 78-plot validation dataset. In all cases, the test statistics supported the null hypothesis of no difference between simulated and observed DBH lists. When power of these hypothesis test statistics was set to 80%, the calculated minimum detectable differences were still reasonably small at 2.7 cm for mean DBH and 90 trees/h for stocking. Also, the shape and dispersion of simulated mean-DBH/density scatter graphs were similar to the same scatter graph from the observed, validation dataset.

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7 pages

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OSTI as DE00835198

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  • Joint Statistical Meetings - Section on Statistics and the Environment. American Statistical Association, San Francisco, CA (US), 08/2003

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  • Report No.: na
  • Grant Number: AI09-00SR22188
  • Office of Scientific & Technical Information Report Number: 835198
  • Archival Resource Key: ark:/67531/metadc785290

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  • August 31, 2003

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • Nov. 1, 2016, 5:55 p.m.

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Parresol, B.R. & Lloyd, F.T. Stochastically generating tree diameter lists to populate forest stands based on the linkage variables, forest type and stand age., article, August 31, 2003; New Ellenton, South Carolina. (digital.library.unt.edu/ark:/67531/metadc785290/: accessed September 26, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.