Geospatial methods for monitoring a vegetative treatment area receiving beef feedlot runoff

Journal of Environmental Quality

Volumn 37, Issue SUPPL. 5, 2008, Pages

  Eigenberg, Roger A ^a   Lesch, Scott M ^b   Woodbury, Bryan ^c   Nienaber, John A ^a  

^a U S MEAT ANIMAL RESEARCH CENTER   (United States)

^b U S SALINITY LABORATORY   (United States)

^c U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; COMPUTER SOFTWARE; ELECTROMAGNETIC INDUCTION; ELECTROMAGNETISM; INDUSTRIAL ECONOMICS; MAGNETISM; SALINITY MEASUREMENT; SOFTWARE PACKAGES; SOILS;

GEO-SPATIAL; GLOBAL POSITIONING SATELLITE; SALINE SOILS; SOIL CONDUCTIVITY; SOIL SAMPLING; TREATMENT AREA; UNITED STATES;

RUNOFF;

CHLORIDE; RUNOFF;

COMPUTER PROGRAM; CONFERENCE PAPER; COST EFFECTIVENESS ANALYSIS; SALINITY; SAMPLING; SOIL MANAGEMENT; SOIL QUALITY; WATER FLOW;

ANIMAL HUSBANDRY; ANIMALS; CATTLE; CHLORIDES; ELECTRIC CONDUCTIVITY; MODELS, STATISTICAL; PLANTS; SEWAGE; SOIL; WASTE DISPOSAL, FLUID;

EID: 51849143272     PISSN: 00472425     EISSN: None     Source Type: Journal    
DOI: 10.2134/jeq2007.0347     Document Type: Conference Paper

References (38)

1. ASTM. 2003. ASTM Standard 04327: Standard test method for anions in water by chemically suppressed ion chromatography. ASTM International, West Conshohocken, PA. Available at http://www.astm.org (verified 11 Mar. 2008).
2. Banerjee, S., B.P. Carlin, and A.E. Gelfand. 2004. Hierarchical modeling and analysis for spatial data. CRC Press, Boca Raton, FL.
3. Cook, R.D., and S. Weisberg. 1999. Applied regression including computing and graphics. John Wiley & Sons, New York.
4. Corwin, D.L., and S.M. Lesch. 2005a. Apparent soil electrical conductivity measurements in agriculture. Comput. Electron. Agric. 46:11-44.
5. Corwin, D.L., and S.M. Lesch. 2005b. Characterizing soil spatial variability with apparent soil electrical conductivity: I. Survey protocols. Comput. Electron. Agric. 46:103-134.
6. Eigenberg, R.A., R.L. Korrhals, and J.A. Nienaber. 1998. Geophysical electromagnetic survey methods applied to agricultural waste sites. J. Environ. Qual. 27:215-219.
7. Eigenberg, R.A., and J.A. Nienaber. 2003. Electromagnetic induction methods applied to an abandoned manure handling site to determine nutrient buildup. J. Environ. Qual. 32:1837-1843.
8. Eigenberg, R.A., J.A. Nienaber, B.L. Woodbury, and R.B. Ferguson. 2005. Soil conductivity as a measure of soil and crop status: A four-year summary. Soil Sci. Soc. Am. J. 70:1600-1611.
9. Haining, R. 1990. Spatial data analysis in the social and environmental sciences. Cambridge Univ. Press, Cambridge, UK.
10. Haskard, K.A., B.R. Cullis, and A.P. Verbyla. 2007. Anisotropic Matèrn correlation and spatial prediction using REML. J. Agric. Biol. Environ. Stat. 12:147-160.
11. Isaaks, E., and R. Srivastava. 1989. Applied geostatistics. Oxford University Press, New York.
12. Koelsch, R.K., J.C. Lorimor, and K.R. Mankin. 2006. Vegetative treatment systems for management of open lot runoff: Review of literature. Appl. Eng. Agric. 22:141-153.
13. Lesch, S.M. 2005. Sensor-directed response surface sampling designs for characterizing spatial variation in soil properties. Comput. Electron. Agric. 46:153-180.
14. Lesch, S.M., J.D. Rhoades, and D.L. Corwin. 2000. ESAP-95 Version 2.10R: User manual and tutorial guide. Research Rpt. 146. USDA-ARS, George E. Brown, Jr. Salinity Lab., Riverside, CA.
15. Lesch, S.M., D.J. Strauss, and J.D. Rhoades. 1995a. Spatial prediction of soil salinity using electromagnetic induction techniques: I. Statistical prediction models: A comparison of multiple linear regression and cokriging. Water Resour. Res. 31:373-386.
16. Lesch, S.M., D.J. Strauss, and J.D. Rhoades. 1995b. Spatial prediction of soil salinity using electromagnetic induction techniques: II. An efficient spatial sampling algorithm suitable for multiple linear regression model identification and estimation. Water Resour. Res. 31:387-398.
17. Lieberman, G.J. 1961. Prediction regions for several predictions from a single regression line. Technometrics 3:21-27.
18. Müller, W.G. 2001. Collecting spatial data: Optimum design of experiments for random fields. 2nd ed. Physica-Verlag, Heidelberg, Germany.
19. Müller, W.G., and D.L. Zimmerman. 1999. Optimal designs for variogram estimation. Environmetrics 10:23-37.
20. Myers, R.H. 1986. Classical and modern regression with applications. Duxbury Press, Boston, MA.
21. Myers, R.H., and D.C. Montgomery. 2002. Response surface methodology: Process and product optimization using designed experiments. 2nd ed. John Wiley & Sons, New York.
22. Parker, D.B., D.E. Eisenhauer, D.D. Schulte, and D.L. Martin. 1999. Modeling seepage from an unlined beef cattle feedlot runoff storage pond. Trans. ASAE 42:1437-1445.
23. Perry, T. 2003. Marker Advisor: Comparing U.S. and Canadian cattle numbers. NDSU Agriculture Communication, Fargo, ND.
24. Powers, W.J. 1999. Odor control for livestock systems. Journal no. J-18115. Project No. 3493. Iowa Agric. and Home Econ. Exp. Sra., Ames, IA.
25. Rao, C.R., and H. Toutenburg. 1999. Linear models: Least squares and alternatives. Springer-Verlag, New York.
26. Rhoades, J.D., F. Chanduvi, and S.M. Lesch. 1999. Soil salinity assessment: Methods and interpretation of electrical conductivity measurements. FAO Irrigation and Drainage Paper 57. Food and Agriculture Organization of the United Nations, Rome, Italy.
27. Schabenberger, O., and C.A. Gotway. 2005. Statistical methods for spatial data analysis. CRC Press, Boca Raton, FL.
28. Shapiro, S.S., and M.B. Wilks. 1965. An analysis of variance test for Normality (complete samples). Biometrika 52:591-611.
29. Sweeten, J.M. 1998. Cattle feedlot manure and wastewater management practices. p. 125-155. In J.L. Hatfield and B.A. Stewart (ed.) Animal waste utilization: Effective use of manure as a soil resource. Ann Arbor Press, Chelsea, MI.
30. Tiefelsdorf, M. 2000. Modeling spatial processes: The identification and analysis of spatial relationships in regression residuals by means of Moran's I. Springer-Verlag, New York.
31. Upton, G., and B. Fingleton. 1985. Spatial data analysis by example. John Wiley & Sons, New York.
32. Valliant, R., A.H. Dorfman, and R.M. Royall. 2000. Finite population sampling and inference: A prediction approach. John Wiley & Sons, New York.
33. Wackernagel, H. 1998. Multivariate geostatistics. 2nd ed. Springer-Verlag, Berlin, Germany.
34. Weisberg, S. 1985. Applied linear regression. 2nd ed. John Wiley & Sons, New York.
35. Woodbury, B.L., J.A. Nienaber, and R.A. Eigenberg. 2002. Operational evaluation of a passive beef cattle runoff control and treatment system. Appl. Eng. Agric. 18:541-545.
36. Woodbury, B.L., J.A. Nienaber, and R.A. Eigenberg. 2005. Effectiveness of a passive feedlot runoff control system using a vegetative treatment area for nitrogen control. Appl. Eng. Agric. 21:581-588.
37. Wulf, L.W., and J.C. Lorimor. 2005. Alternative technology and ELG models for open cattle feedlot runoff control: Model descriptions and user guidelines. Iowa State Univ., Ames, IA.
38. Zhu, Z., and M.L. Stein. 2006. Spatial sampling design for prediction with estimated parameters. J. Agric. Biol. Environ. Stat. 11:24-44.