The spatial pattern of trees in lodgepole pine sites in the SBSdw3 and SBSmc2 biogeoclimatic variants were identified and modelled. The K(t) statistic was used to detect the patterns and provide a basis for determining an appropriate spatial process model. Most sites had an aggregated pattern, which was modelled effectively by a Poisson cluster process. The clusters range in size and intensity from many small clusters to a few dense tightly packed clusters, to large wide-spread clusters. An equation describing the relationship between the parameters of the Poison cluster process model was developed. Random and regular patterns occurred equally often. The random patterns were modelled by a Poisson process. The regular patterns were modelled with a Markov point process and a lattice-based process; the former model resulted in better simulations.
Nigh, G.D.. 2015. Identification and Simulation of the Spatial Pattern of Juvenile Lodgepole Pine in the Sub-Boreal Spruce Biogeoclimatic Zone, Stuart Dry Warm and Babine Moist Cold Variants. British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development. FRDA Research Report. FRR244
Topic: FLNRORD Research Program
Keywords: Growth, Yield
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