Spatial autocorrelation in masting phenomena of Quercus serrata detected by multi-spectral imaging

Abstract We developed a multiple linear regression methodology for estimating acorn yield of Quercus serrata from airborne multi-spectral images. Using the models developed, we estimated the spatial distribution of acorn yields on the aerial images. We also calculated spatial autocorrelation from the estimated spatial distribution of yields, and evaluated the spatial pattern by comparison with the simulation output from Satake and Iwasa's [Satake, A., Iwasa, Y., 2002a. Spatially limited pollen exchange and a long-range synchronization of trees. Ecology 83, 993–1005] theoretical models, which assume internal allocation and pollen exchange between trees within a finite range. A significant correlation was found between logarithmic acorn yield and the multi-spectral data observed on June 6, 2003 ( R 2  = 0.37, p R 2  = 0.44, p p Q. serrata .

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