2007-Comparison of point pattern e-fir stands in the north-east USA.pdfVIP

2007-Comparison of point pattern e-fir stands in the north-east USA.pdf

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2007-Comparison of point pattern e-fir stands in the north-east USA

? Institute of Chartered Foresters, 2007. All rights reserved. Forestry, Vol. 80, No. 3, 2007. doi:10.1093/forestry/cpm010 For Permissions, please email: journals.permissions@oxfordjournals.org Advance Access publication date 21 May 2007 Introduction Spatial pattern has important effects on a va- riety of physical and ecological processes in a forest stand including competition, size vari- ability and distribution, crown structure, growth and mortality (e.g. Kuuluvainen and Pukkala, 1987 ; Kenkel, 1988 ; Kenkel et al. , 1989 ; Miller and Weiner, 1989 ; Moeur, 1993 ; Rouvinen and Comparison of point pattern analysis methods for classifying the spatial distributions of spruce-fi r stands in the north-east USA FASHENG LI1 and LIANJUN ZHANG2* 1 Pfi zer, Inc. Eastern Point Road, Groton, CT 06340, USA 2 Faculty of Forest and Natural Resources Management, State University of New York, College of Environmental Science and Forestry, One Forestry Drive, Syracuse, NY 13210, USA *Corresponding author. E-mail: lizhang@esf.edu Summary The spatial distributions of tree locations in spruce-fi r forest stands in the north-east USA were explored by various methods of spatial point pattern analysis. The results indicated that the 13 nearest neighbour statistics were not reliable because of the assumption violations for independent distance measures and large sample size requirements. Three other methods (i.e. refi ned nearest neighbour functions, Ripley’s K-function and pair correlation function) seemed to capture the different aspects of the spatial patterns of these spruce-fi r stands. The edge effect correction was very important to obtain unbiased results for the spatial point pattern analysis. The toroidal edge correction proved to be simple and satisfactory in this study compared with other edge correction methods. The results indicated that 24 plots (48 per cent) were classifi ed as complete spatial random (CSR) point pattern, 17 (34 per cent) regular

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