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    Author(s): Robin M. Reich; Raymond L. CzaplewskiWilliam A. Bechtold
    Date: 1994
    Source: Environmental and Ecological Statistics. 1: 201-217.
    Publication Series: Scientific Journal (JRNL)
    Station: Southern Research Station
    PDF: Download Publication  (958.73 KB)


    In this study a cross-correlation statistic is used to analyse the spatial relationship among stand characteristics of natural, undisturbed shortleaf pine stands sampled during 1961-72 and 1972-82 in northern Georgia. Stand characteristics included stand age, site index, tree density, hardwood competition, and mortality. In each time period, the spatial cross-correlation statistic was used to construct cross-correlograms and cumulative crosscorrelograms for all significant pairwise combination of stand characteristics. Both the cross-correlograms and cumulative cross-correlograms identified small-scale clustering and weak directional gradients for different stand characteristics in each time period. The cumulative cross-correlograms, which are based on inverse distance weighting were more sensitive in detecting small-scale clustering than the cross-correlograms based on a 0-1 weighting. Further analysis suggested that the significant cross-correlation observed among basal area growth and other stand characteristics were due, in a large part, on a subset of sample plots located in the northern part of the state, rather than regional or broad-scale variation as first thought. The ability to analyse the spatial relationship between two or more response surfaces should provide valuable insight in the development of ecosystem level models and assist decision makers in formulating pertinent policy on intelligent multiresource management.

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    Reich, Robin M.; Czaplewski, Raymond L.; Bechtold, William A. 1994. Spatial cross-correlation of undisturbed, natural shortleaf pine stands in northern Georgia. Environmental and Ecological Statistics. 1: 201-217.


    cross-correlogram, Moran's I, spatial anomaly

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