Land-use management using a soil survey geographic database for Finney County, Kansas

Citation
J. Wu et al., Land-use management using a soil survey geographic database for Finney County, Kansas, SOIL SCI SO, 65(1), 2001, pp. 169-177
Citations number
28
Categorie Soggetti
Environment/Ecology
Journal title
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN journal
03615995 → ACNP
Volume
65
Issue
1
Year of publication
2001
Pages
169 - 177
Database
ISI
SICI code
0361-5995(200101/02)65:1<169:LMUASS>2.0.ZU;2-Z
Abstract
The determination of best management practices for land resources is often complicated by the lack of a means for evaluation and lack of quality data. Soil surveys are an important source of data that can be used to improve f arm and ranch planning and environmental protection. In this study, we exam ined the use of a soil survey geographic (SSURGO) database within a geograp hic information system (GIS) coupled with remote sensing data for land-use management in Finney County, Kansas. The objectives were (i) to identify la nduse change; (ii) to evaluate the influence of soil, groundwater, and phys iography on land use; and (iii) to assess land-use potential and present ma nagement alternatives. Land-use/land-cover (LULC) maps for 1987, 1989, and 1992 were derived from Landsat Thematic Mapper data. These LULC layers were manipulated with layers: organic matter content, thickness, and texture of the surface soil horizon; land capability class; aquifer thickness (AT); a nd physiography. Tire acreage of fallow land decreased and the acreage of g rassland increased from 1987 to 1992 because of an increase in the acreage of land used in the Conservation Reserve Program (CRP). Broad cropping patt erns (irrigated vs. nonirrigated) did not change significantly between 1987 and 1992 and were related to AT. Some currently cropped areas had high ero sion potential, whereas some grasslands had relatively low erosion hazards. These grasslands could be used as alternatives for cropping. The study dem onstrates the potential of using SSURGO within a GIS coupled with remote se nsing information in planning and management for natural resources.