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Egbert, S.L.; A.T. Peterson; V. Sanchez-Cordero; and K.P. Price. 1998. Modeling conservation priorities in Veracruz, Mexico. Pp. 55-63 In GIS solutions in natural resource management: balancing the technical-political equation (S. Morain, ed.), High Mountain Press.
Egbert, S.L.; R.Y. Yang; K.P. Price; M.D. Nellis; and R. Boyce. 1998. Mapping Conservation Reserve Program (CRP) lands using mulit-seasonal Thematic Mapper imagery. Geocarto International 13: 17-24.
Kaufman, D.W.; P.A. Fay; G.A. Kaufman; and J.L. Zimmerman. 1998. Diversity of terrestrial macrofauna. Pp. 101-112 In Grassland dynamics: long-term ecological research in tallgrass prairie (A.K. Knapp; J.M. Briggs; D.C. Hartnett; and S.L. Collins eds.), Oxford University Press: New York. 364pp.
Kaufman, D.W.; G.A. Kaufman; P.A. Fay; J.L. Zimmerman; and E.W. Evans. 1998. Animal populations and communities. Pp. 113-139 In Grassland dynamics: long-term ecological research in tallgrass prairie (A.K. Knapp; J.M. Briggs; D.C. Hartnett; and S.L. Collins eds.), Oxford University Press: New York. 364pp.
Michaels, H.L., and J.F. Cully Jr. 1998. Landscape and fine scale habitat associations of the Loggerhead Shrike. Wilson Bulletin 110(4): 474-482.

Cully, J., and G. Kaufman. 1997. Kansas: an example of GAP Partnering. Gap Analysis Bulletin, 6:29-31.
Egbert, S., C. Lauver, C. Blodgett, K. Price, and E. Martinko. 1997. Mapping the Kansas grasslands: a multiseasonal approach. Gap Analysis Bulletin, 6:12-13.
Kaufman, G.A., and D.W. Kaufman. 1997. Ecology of small mammals in prairie landscapes. Pp. 207-243. In Ecology and Conservation of Great Plains Vertebrates (F.L. Knopf and F.B. Samson, eds.), Springer-Verlag, New York. 320 pp.
Lauver, Chris L. 1997. Mapping species diversity patterns in the Kansas shortgrass region by integrating remote sensing and vegetation analysis. Journal of Vegetation Science, 8:387-394.
Price, K.P., S.L. Egbert, M.D. Nellis, R.Y. Lee, and R. Boyce. 1997. Mapping land cover in a High Plains agro-ecosystem using a multidate Landsat Thematic Mapper modeling approach. Transactions of the Kansas Academy of Science, 100:21-33.
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