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    Author(s): Scott A. Pugh
    Date: 2012
    Source: In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 123-128.
    Publication Series: Paper (invited, offered, keynote)
    Station: Northern Research Station
    PDF: View PDF  (395.13 KB)

    Description

    Site productivity (SP) is the inherent capacity to grow crops of industrial wood. SP identifies the potential growth in cubic feet/acre/year and is based on the culmination of mean annual increment of fully stocked natural stands. Changes in SP were summarized for timberland and the associated effects on net growth and removal estimates were investigated using data from the Forest Inventory and Analysis program from the early to late 2000s. Change in area by SP class ranged from 4.8 to 19.6 percent, depending on the state. Actual changes on the ground are not this common. Net growth credited to unproductive-to-productive change varied from 0.0 to 11.2 percent of total net growth depending on the state; removals due to productive-to-unproductive change varied from 0.0 to 38.7 percent of total removals, depending on the state. A comparison of SP derived from current methods versus complementing with net growth information shows 12.5 percent of currently classified unproductive area could be classified productive and 10.3 percent of forest land area could receive a more productive SP class. Artificial change in SP class should be minimized, especially for sites that are marginally productive or unproductive. Restricting new calculations of SP when valid measurements already exist will lessen erroneous change.

    Publication Notes

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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

    Pugh, Scott A. 2012. Site productivity - current estimates, change, and possible enhancements for the Northern Research Station. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 123-128.

    Keywords

    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

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