Skip to main content
ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #151868

Title: SPATIAL CHARACTERISTICS OF SOIL QUALITY INDICATORS ON CLAYPAN SOILS

Author
item JUNG, WON-KYO
item Kitchen, Newell
item Sudduth, Kenneth - Ken
item Kremer, Robert
item MOTAVALLI, ROBERT
item ANDERSON, STEPHEN
item Alberts, Edward

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/23/2003
Publication Date: 11/3/2003
Citation: JUNG, W., KITCHEN, N.R., SUDDUTH, K.A., KREMER, R.J., MOTAVALLI, R.J., ANDERSON, S.H., ALBERTS, E.E. 2003. SPATIAL CHARACTERISTICS OF SOIL QUALITY INDICATORS ON CLAYPAN SOILS [abstract] [CD-ROM]. ASA-CSSA-SSSA-Annual Meeting Abstracts.

Interpretive Summary:

Technical Abstract: Site-specific field management practices require an accurate assessment of the spatial structure of soil properties in order to obtain a reasonable estimate at unsampled locations. This research was conducted to understand the spatial characteristics of soil quality indicators on a claypan soil field. Landscape properties, such as elevation and slope, were obtained by real-time kinematic-GPS. Soil samples were collected at three depths (0 to 7.5 cm, 7.5 to 15 cm and 15 to 30 cm) within a 4-ha field on a 10 by 30-m grid spacing (75 samples) and at additional random points (10 samples). Samples were analyzed for physical, chemical, and microbial properties that serve as soil quality indicators. Semi-variogram analysis was used to identify the spatial dependence of soil quality indicators. Spatial dependence of most indicators was unique. Spatial dependence also varied by sampling depth. An exponential model fit to the semi-variograms showed that the variations of CEC, organic C and most physical properties were strongly spatially dependent, with range distances from 20 to 60 m. The range of spatial dependence was greater for the 15- to 30-cm sampling depth than for shallower samples. Our results show that spatial characteristics of soil quality indicators are not the same and tailoring of sampling strategies is required for valid interpolation and mapping.