Abstract

This study was conducted to develop the predictive model for species richness of breeding birds by multivariate analysis of land covers (percentage value of each cover in 300 <TEX>$\times$</TEX> 300m grid) including water area (WA), urbanized area (UA), green area (GA), forest area (FA) and agricultural area (AA) at Seongnam City in Korea. Fifty-nine species of birds were mapped on 155 grids in size of 300 <TEX>$\times$</TEX> 300 m from 2000 to 2001. Species richness of breeding birds was significantly regressed (<TEX>$R^2=0.85$</TEX>, n=155) by estimates of WA (<TEX>$4.59{\pm}1.13$</TEX>, P<0.0001), UA (<TEX>$6.50{\pm}0.86$</TEX>, P<0.0001), GA (<TEX>$7.11{\pm}1.25$</TEX>, P<0.0001), FA (<TEX>$8.51{\pm}0.62$</TEX>, P<0.0001), and AA (<TEX>$4.59{\pm}1.13$</TEX>, P<0.0001). In validation of model, the results show no significant difference between predicted value of species richness and observed one. Developed model can be used as a predictive model of species richness of birds for selecting the proper location of corridors and parks in urban area.

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