SSSAJ Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (18)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Brejda, J. J.
Right arrow Articles by Dao, T. H.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Brejda, J. J.
Right arrow Articles by Dao, T. H.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Brejda, J. J.
Right arrow Articles by Dao, T. H.
Soil Science Society of America Journal 64:974-982 (2000)
© 2000 Soil Science Society of America

DIVISION S-5-PEDOLOGY

Distribution and Variability of Surface Soil Properties at a Regional Scale

John J. Brejdaa, Thomas B. Moormanb, Jeffrey L. Smithc, Douglas L. Karlenb, Deborah L. Alland and Thanh H. Daoe

a USDA-ARS Wheat, Sorghum, and Forage Research Unit, 344 Keim Hall, Univ. Nebraska, Lincoln, NE 68583 USA
b USDA-ARS, National Soil Tilth Lab, 2150 Pammel Dr., Ames, IA 50011 USA
c USDA-ARS, 215 Johnson Hall, Washington State Univ., Pullman, WA 99164-6421 USA
d Dep. Soil, Water, and Climate, Univ. of Minnesota, 1991 Buford Circle, St. Paul, MN 55108 USA
e USDA-ARS, Bushland, TX 79012 USA

jbrejda{at}unlserve.unl.edu

Information on the probability distribution and variability of soil properties at a regional scale could improve the ability of the USDA-Natural Resources Conservation Service (NRCS) to monitor soil condition using the National Resources Inventory (NRI). Our objective was to evaluate the hypothesis that the probability distribution of 17 physical, chemical, and biological soil properties are: (i) normally distributed, or (ii) log-normally distributed at a regional scale, and to estimate the magnitude of change that may be detected assuming either a normal or log-normal distribution. Samples were collected irrespective of soil series from two Major Land Resource Areas (MLRAs) (no. 9 and 105), and from the Ascalon (fine-loamy, mixed, superactive, mesic Aridic Argiustoll) and Amarillo (fine-loamy, mixed, superactive, thermic Aridic Paleustalf) soils in MLRA 67 and 77, using the NRI sampling design. Most soil properties were non-normally distributed, with the frequency of non-normality varying between MLRAs. Confining sampling to a single soil series did not consistently improve the precision with which soil properties were estimated. Loge transformation resulted in normal distributions for most soil properties and reduced variability two- to threefold. However, a few soil properties remained non-normally distributed. Soil pH may be monitored at the regional scale with a high degree of precision. Small changes in soil C content (3–8% of the regional mean) may be detected using loge transformed total organic C as the indicator. Sampling soil properties as part of the NRI should improve NRCS' ability to monitor soil condition on a regional scale.

Abbreviations: MBC, microbial biomass carbon • MEP, Mehlich extractable phosphorus • MLRA, Major Land Resource Areas • MWD, mean-weight diameter • NRCS, Natural Resources Conservation Service • NRI, National Resource Inventory • PMN, potentially mineralizable nitrogen • PSU, primary sampling units • TOC, total organic carbon • WSA, water stable aggregates




This article has been cited by other articles:


Home page
J. Environ. Qual.Home page
R. K. Juhler, T. H. Henriksen, V. Ernstsen, F. P. Vinther, and P. Rosenberg
Impact of Basic Soil Parameters on Pesticide Disappearance Investigated by Multivariate Partial Least Square Regression and Statistics
J. Environ. Qual., August 8, 2008; 37(5): 1719 - 1732.
[Abstract] [Full Text] [PDF]


Home page
J. Environ. Qual.Home page
J. Gaultier, A. Farenhorst, J. Cathcart, and T. Goddard
Regional Assessment of Herbicide Sorption and Degradation in Two Sampling Years
J. Environ. Qual., August 8, 2008; 37(5): 1825 - 1836.
[Abstract] [Full Text] [PDF]


Home page
Vadose Zone JHome page
K. Beven, D. Zhang, and A. Mermoud
On the Value of Local Measurements for Prediction of Pesticide Transport at the Field Scale
Vadose Zone J., March 8, 2006; 5(1): 222 - 233.
[Abstract] [Full Text] [PDF]


Home page
Soil Sci.Home page
S. S. Andrews, D. L. Karlen, and C. A. Cambardella
The Soil Management Assessment Framework: A Quantitative Soil Quality Evaluation Method
Soil Sci. Soc. Am. J., November 1, 2004; 68(6): 1945 - 1962.
[Abstract] [Full Text] [PDF]


Home page
Soil Sci.Home page
C.-W. Chang, D. A. Laird, M. J. Mausbach, and C. R. Hurburgh Jr.
Near-Infrared Reflectance Spectroscopy-Principal Components Regression Analyses of Soil Properties
Soil Sci. Soc. Am. J., March 1, 2001; 65(2): 480 - 490.
[Abstract] [Full Text] [PDF]


Home page
Soil Sci.Home page
J. J. Brejda, D. L. Karlen, J. L. Smith, and D. L. Allan
Identification of Regional Soil Quality Factors and Indicators: II. Northern Mississippi Loess Hills and Palouse Prairie
Soil Sci. Soc. Am. J., November 1, 2000; 64(6): 2125 - 2135.
[Abstract] [Full Text]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2000 by the Soil Science Society of America.