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 (m1 + m2)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%.