The Korean Journal of Ecology

The Ecological Society of Korea (한국생태학회)
권호 표지
DOI QR코드

DOI QR Code

Prediction of Species Richness of Breeding Birds by Analysis of Land Cover at Seongnam City, Korea

  • Park, Chan-Ryul (University Forests, Seoul National University) ;
  • Lee, Jang-Ho (University Forests, Seoul National University) ;
  • Lee, Do-Won (Graduate School of Environmental Studies, Seoul National University) ;
  • Lee, Woo-Shin (Department of Forest Sciences, Seoul National University)
  • Published : 2005.02.28
Download PDF
⟨ Previous Next ⟩

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 $\times$ 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 $\times$ 300 m from 2000 to 2001. Species richness of breeding birds was significantly regressed ($R^2=0.85$, n=155) by estimates of WA ($4.59{\pm}1.13$, P<0.0001), UA ($6.50{\pm}0.86$, P<0.0001), GA ($7.11{\pm}1.25$, P<0.0001), FA ($8.51{\pm}0.62$, P<0.0001), and AA ($4.59{\pm}1.13$, 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.

Keywords

References

  1. Anon, Z. 1995. ERDAS IMAGINE, 8.4 field guide edition. ERDAS Inc., Atlanta, GA
  2. Bibby, CJ., N.D. Burgess and D.A. Hill. 1997. Bird census technique. Academic press limited. London, UK. 257p
  3. De' ath, G. and K.E. Fabricius. 2000. Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81: 3178-3192 https://doi.org/10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2
  4. Dettmers, R. and J. Bart. 1999. A GIS modeling method applied to predicting forest songbird habitat. Ecol. Appl. 9: 152-163 https://doi.org/10.1890/1051-0761(1999)009[0152:AGMMAT]2.0.CO;2
  5. Edwards, T.C. Jr., E.T. Deshler, D. Foster and G.G. Moisen. 1996. Adequacy of wildlife habitat relation models for estimating spatial distributions of terrestrial vertebrates. Conserv. Biol. 10: 263-270 https://doi.org/10.1046/j.1523-1739.1996.10010263.x
  6. ESRI. 1999. ArcInfo 8.0 and ArcView 3.2. Environmental Systems Research Instituted Inc., Redlands, CA
  7. Flather, C.H., S.J. Brady and D.B. Inkley. 1992. Regional habitat appraisals of wildlife communities: a landscape-level evaluation of a resource planning model using avian distribution data. Landscape Ecol. 7: 137-147 https://doi.org/10.1007/BF02418944
  8. Freemark, K.E. and H.G. Merriam. 1986. Importance of area and habitat heterogeneity to bird assemblages in temperate forest fragments. Biol. Conserv. 36: 115-141 https://doi.org/10.1016/0006-3207(86)90002-9
  9. Freemark, K.E., J.B. Dunning, S.J. Hejl and J.R. Probst. 1995. A landscape ecology perspective for research, conservation, and management. In T.E. Martin and D.M. Finch (eds.), Ecology and management of neotropical migrant birds. Oxford University Press, New York, USA. pp. 381-421
  10. Germaine, S.S., S.S. Rosenstock, R.E. Schweinsburg and W.S. Richardson. 1998. Relationship among breeding birds, habitat, and residential development in greater Tucson, Arizona. Ecol. Appl. 8: 680-691 https://doi.org/10.1890/1051-0761(1998)008[0680:RABBHA]2.0.CO;2
  11. Holmes, R.T. and J.C Schultz. 1986. Food availability for forest birds: effect of prey distribution and abundance on bird foraging. Can. J. Zool. 66: 720-728 https://doi.org/10.1139/z88-107
  12. Howell, C.A., S.C. Latta, T.M. Donovan, P.A. Porneluzi, GR Parks and J. Faaborg. 2000. Landscape effects mediate breeding bird abundance in Midwestern forests. Landscape Ecol. 15: 547-562 https://doi.org/10.1023/A:1008190029786
  13. Lawler, J.J. and T.C. Edwards. 2002. Landscape patterns as habitat predictors: building and testing models for cavity-nesting birds in the Uinta Mountains of Utah, USA. Landscape Ecol.17: 233-245 https://doi.org/10.1023/A:1020219914926
  14. Milsom, T.P., S.D. Langton, W.K. Parkin, S. Peel, J.D. Bishop, J.D. Hart and N.P. Moore. 2000. Habitat models of bird species' distribution: an aid to the management of coastal grazing marshes. J. Appl. Ecol. 37: 706-727 https://doi.org/10.1046/j.1365-2664.2000.00529.x
  15. Park, C and W. Lee. 2000. Relationship between species composition and area in breeding birds of urban woods in Seoul, Korea. Landscape Urban Plan. 51: 29-36 https://doi.org/10.1016/S0169-2046(00)00094-3
  16. SAS Institute Inc. 1985. SAS/STAT guide for personal computers, Version 8 edition. SAS Institute Inc. Cary, 378 p
  17. Saveraid, E.H., D.M. Debinski, K. Kindscer and M.E. Jakuhauskas. 2001. A comparison of satellite data and landscape variables in predicting bird species occurrences in the Greater Yellowstone Ecosystem, USA. Landscape Ecol.16: 71-83 https://doi.org/10.1023/A:1008119219788
  18. Scott, J.M, F. Davis, B. Csuti, R Noss, B. Buterfield, C. Groves, H. Anderson, S. Caicco, F. D'Erchia, T. Edwards, J. Ulliman and G. Wright. 1993. Gap analysis: A geographic approach to protection of biological diversity. J. Wildlife Manag. 57(1) supplement, Wildlife Monographs No. 123
  19. Seongnam City. 2001. Annual Statistics of Seongnam City
  20. U. S. Fish and Wildlife Service. 1981. Standards for the development of suitability index models. Ecological Services Manual 103. United States Department of Interior, Fish and Wildlife Service, Division of Ecological Services. Government Printing Office, Washington D.C., USA
  21. Van Home, B. and J.A. Wiens. 1991. Forest bird habitat suitability models and the development of general habitat models. Fish Wildlife Research 8. US Fish and Wildlife Service
  22. Verner, J., M.L. Morrison and C.J. Ralph. 1986. Wildlife 2000: modeling habitat relationships of terrestrial vertebrates. University of Wisconsin Press, Madison
  23. Vuilleumier, S. and R. Prelaz-Droux. 2002. Map of ecological networks for landscape planning. Landscape Urban Plan. 58: 157-170 https://doi.org/10.1016/S0169-2046(01)00218-3
  24. Whelan, C.J. 2001. Foliage structure influences foraging of insectivorous forest birds: an experimental study. Ecology 82: 219-231 https://doi.org/10.1890/0012-9658(2001)082[0219:FSIFOI]2.0.CO;2
  25. Wiens, J.A. 1989. Spatial scaling in ecology. Funct. Ecol. 3: 385-397 https://doi.org/10.2307/2389612