A regression model for the spatial distribution of red-crown crane in Yancheng Biosphere Reserve, China

A logistic regression of principal components, in combination with spatial autocorrelation analysis, was developed to simulate and predict the distribution of species. The model was tested by the matching coefficient (m(1) + m(2))/n, which was obtained by comparing the observed and the predicted presence/absence data of species. The results from the case study for red-crown crane (Grus japonensis) in Yancheng Biosphere Reserve, Eastern China, showed that the matching coefficient of the model was as high as 91.13%. (C) 1997 Elsevier Science B.V.

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