Skip to main content
Log in

N fate and transport under variable cropping history and fertilizer rate on loamy sand and clay loam soils: I. Calibration of the LEACHMN model

  • Published:
Plant and Soil Aims and scope Submit manuscript

Abstract

The need for efficient use of agricultural chemicals and their potential adverse impact on critical water resources have increased the use of simulation models of the soil and plant system. Nevertheless, there is currently little or no agreement concerning model validity and applicability in varied soils and environments. The research version of LEACHMN (the N subroutine of LEACHM) was calibrated using field data including soil physical, hydraulic, and chemical properties, and maize (Zea mays L.) N uptake collected from a 3-yr nitrate leaching experiment. The field site consisted of plot-size lysimeters on clay loam and loamy sand soils with N fertilizer rates of 22, 100 and 134 kg N ha−1. The calibration involved adjusting nitrification, denitrification, and volatilization rate constants to optimize the fit between predicted and measured data. When calibrated for each treatment-year combination and soil type, the model simulations of soil profile NO3–N distribution were generally successful. The N transformation rate constants yielded by the calibration efforts were similar or close to those used in other model simulation studies. At both sites, the calibrated rate constants for the first year (following sod plowdown) were different from those for the subsequent two years. Denitrification rate constants were consistently higher for the clay site than for the sand site, while the nitrification rate constants were lower. N rate of application appeared not to affect the rate constants within each year-site combination, suggesting that cropping history and soil type had the greatest effect on N transformation rates.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Addiscott T M and Whitmore A P 1987 Computer simulation of changes in soil mineral nitrogen and crop nitrogen during autumn, winter, and spring. J. Agric. Sci. Camb. 109, 141–157.

    Google Scholar 

  • Addiscott T M, Whitmore A P and Powlson D S 1991 Farming, fertilizer, and the nitrate problem. CAB International, Wallingford, UK.

    Google Scholar 

  • Angle J S, Gross C M, Hill R L and McIntosh M S 1996 Soil nitrate concentrations under corn as affected by tillage, manure, and fertilizer applications. J. Environ. Qual. 22, 141–147.

    Google Scholar 

  • Bergstrom L and Jarvis N J 1991 Prediction of nitrate leaching losses from arable land under different fertilization intensities using the SOIL-SOILN models. Soil Use Management 7, 79–84.

    Google Scholar 

  • Bergstrom L, Johnsson H and Torstensson G 1991 Simulation of soil nitrogen dynamics using the SOILN model. Fert. Res. 27, 181–188.

    Google Scholar 

  • Blake G R and Hartge K H 1986 Bulk density. In Methods of Soil Analysis. Part 1. 2nd edn. Agron. Monogr. 9. Ed. A Klute. pp 364–367. ASA and SSSA, Madison, WI.

    Google Scholar 

  • Borg G Ch, Jansson P E and Linden B 1990 Simulated andmeasured nitrogen conditions in a manured and fertilized soil. Plant Soil 121, 251–267.

    Google Scholar 

  • Buscaglia H J, van Es H M, Geohring L D, Vermeulen H C A M, Fick G W and Lucey R F 1993 Alfalfa yield and quality are affected by soil hydrologic conditions. Agron. J. 86, 535–542.

    Google Scholar 

  • Campbell G 1974 A simple method for determining unsaturated conductivity from moisture retention data. Soil Sci. 117, 311-314.

    Google Scholar 

  • Chin W and Kroontje W 1963 Urea hydrolysis and subsequent loss of ammonia. Soil Sci. Soc. Am. Proc. 27, 316–319.

    Google Scholar 

  • Clay D E, Clapp C E, Linden D R and Molina J A E 1985a Nitrogentillage-residue-management. I. Simulating soil and plant behavior by the model NCSWAP. Plant Soil 84, 67–77.

    Google Scholar 

  • Clay D E, Molina J A E, Clay C E and Linden D R 1985b Nitrogentillage-residue-management. II. Calibration of potential rate of nitrification by model simulation. Soil Sci. Soc. Am. J. 49, 322–325.

    Google Scholar 

  • Cornell Nutrient Analysis Laboratories 1987 Phosphorus and nitrate calorimetric determinations by autoanalyzer. In Methods for Soil Fertility Analysis. Eds. M C McClenahan and G A Ferguson. pp 7–16. Procedure No. S1101. Cornell University, Ithaca, NY.

    Google Scholar 

  • Cornell Nutrient Analysis Laboratories 1989 Extraction of soil for ‘available’ nutrients. In Methods for Soil Fertility Analysis. Eds. M C McClenahan and G A Ferguson, pp 3–6. Procedure No. S1100. Cornell University, Ithaca, NY.

    Google Scholar 

  • Fonnesbeck P V, Lloyd H, Obray R and Romesburg S 1984 International Feed Inst. Tables of Feed Composition. Intl. Feedstuffs, Utah State University, Logan, UT.

    Google Scholar 

  • Gee G H and Bauder JW 1986 Particle size. In Methods of Soil Analysis. Part 1. 2nd edn. Agron Monogr 9. Ed. A Klute. pp 383–411. ASA and SSSA, Madison, WI.

    Google Scholar 

  • Hutson J L and Wagenet R J 1991. Simulating nitrogen dynamics in soils using a deterministic model. Soil Use Management 7, 74–78.

    Google Scholar 

  • Hutson J L and Wagenet R J 1992 LEACHM. Leaching Estimation and Chemistry Model: A process-based model of water and solute movement, transformations, plant uptake, and chemical reactions in the unsaturated zone. Version 3. Dept. of Soil, Crop and Atmospheric Sciences. Research series 92-3. Cornell University, Ithaca, NY.

    Google Scholar 

  • Jabro J D, Jemison J M, Lengnick L L, Fox R H and Fritton D D 1993 Field validation and comparison of LEACHM and NCSWAP models for predicting nitrate leaching. Trans. ASAE 36, 1651–1657.

    Google Scholar 

  • Jabro J D, Lotse J D, Fritton D D and Baker D E 1994 Estimation of preferential movement of bromide tracer under field conditions. J. Hydrol. 156, 61–71.

    Google Scholar 

  • Jabro J D, Toth J D, Dou Z, Fox R H and Fritton D D 1995 Evaluation of nitrogen version of LEACHM for predicting nitrate leaching. Soil Sci. 160, 209–217.

    Google Scholar 

  • Jansson P and Andersson R 1988 Simulation of runoff and nitrate leaching from an agricultural district in Sweden. J. Hydrol. 99, 33–47.

    Google Scholar 

  • Jemison J M Jr 1991 Nitrate leaching from soil measured with zerotension pan Lysimeters as influenced by nitrogen fertilizer rate and manure application: Field estimates and model predictions. Ph.D. diss. Pennsylvania State University, University Park, PA.

    Google Scholar 

  • Jemison J M Jr, Jabro J D and Fox R H 1994 LEACHM evaluation: II: Simulation of nitrate leaching from nitrogen-fertilized and manured corn. Agron. J. 86, 852–859.

    Google Scholar 

  • Johnsson H, Bergstrom L, Jansson P and Paustian K 1987 Simulated nitrogen dynamics and losses in a layered agricultural soil. Agric. Ecosys. Environ. 18, 333–356.

    Google Scholar 

  • Kladivko E J, Van Scoyoc G E, Monke E J, Oates K M and Pask W 1991 Pesticide and nutrient movement into subsurface tile drains on a silt loam soil in Indiana. J. Environ. Qual. 20, 264–271.

    Google Scholar 

  • Klute A and Dirksen C 1986 Hydraulic conductivity diffusivity: laboratory methods. In Methods of Soil Analysis. Part 1. 2nd edn. Agron. Monogr. 9. Ed. A Klute. pp 687–734. ASA and SSSA, Madison, WI.

    Google Scholar 

  • Klut A 1986 Water retention: Laboratory methods. In Methods of Soil Analysis. Part 1. 2nd edn. Agron. Monogr. 9. Ed. A Klute. pp 635–661. ASA and SSSA, Madison, WI.

    Google Scholar 

  • Loague K and Green R E 1991 Statistical and graphical methods for evaluating solute transport models: Overview and application. J. Contam. Hydrol. 7, 51–73.

    Google Scholar 

  • Lotse E G, Jabro J D, Simmons K E and Baker D E 1992 Simulation of nitrogen dynamics and leaching from arable soils. J. Contam. Hydrol. 10, 183–196.

    Google Scholar 

  • Magdoff F R 1991 Understanding the corn pre-sidedress nitrate test: A step towards environmentally sound N management. J. Prod. Agric. 4, 297–305.

    Google Scholar 

  • Magdoff F R, Ross D and Amadon J 1984 A soil test for nitrogen availability to corn. Soil Sci. Soc. Am. J. 48, 1301–1304.

    Google Scholar 

  • Meisinger J J and Randall G W 1991 Estimating nitrogen budgets for soil-crop systems. In Managing Nitrogen for Groundwater Quality and Farm Profitability. pp 85–124. Soil Science Society of America, Inc., Madison, Wisconsin, USA.

    Google Scholar 

  • Molina J A E, Clapp C E, Shaffer M J, Chichester F W and Larson WE 1983 NCSOIL, a model of nitrogen and carbon transformations in soil: description, calibration and behavior. Soil Sci. Soc. Am. J. 47, 85–91.

    Google Scholar 

  • National Academy of Sciences 1971 Atlas of nutritional data on United States and Canadian feeds. NAS, Washington, DC.

    Google Scholar 

  • Pennell K D, Hornsby A G, Jessup R E and Rao P S C 1990 Evaluation of five simulation models for predicting aldicarb and bromide behavior under field conditions. Water Resour. Res. 26, 2679–2693.

    Google Scholar 

  • Ramos C and Carbonell E A 1991 Nitrate leaching and soil moisture prediction with the LEACHM model. Fertil. Res. 27, 171–180.

    Google Scholar 

  • Randall G W, Huggins D R, Russelle M P, Fuchs D J, Nelson W W and Anderson J L 1997 Nitrate loss through subsurface tile drainage in conservation reserve program, alfalfa, and row crop systems. J. Environ. Qual. 26, 1240–1247.

    Google Scholar 

  • Roth G W and Fox R H 1990 Soil nitrate accumulations following corn fertilized at various N rates in Pennsylvania. J. Environ. Qual. 19, 243–248.

    Google Scholar 

  • Saleh F M A, Bishop D J, Dietrich S F, Knezovich J P and Harrison F L 1990 Transport of non-sorbed chemicals in the subsurface environment: proposed model with experimental verification. Soil Sci. 149, 23–34.

    Google Scholar 

  • Saragoni H, Olivier R and Poss R 1991 Dynamique et lixiviation des elements mineraux. Agron. Tropic. 45, 259–273.

    Google Scholar 

  • Snyder J D and Trofymow J A 1984 A rapid accurate wet oxidation diffusion procedure for determining organic carbon and inorganic carbon in plant and soil samples. Commun. Soil Sci. Plant Anal. 15(5), 587–597.

    Google Scholar 

  • Sogbedji J M, van Es H M and Hutson J L 2000c N fate and transport under variable cropping history and fertilizer rate on loamy sand and clay loam soils: II. Performance of LEACHMN using different calibration scenarios (companion paper).

  • Van derLinden A M A, Van Veen J A and Frissel M J 1987 Modeling soil organic matter levels after long-term applications of crop residues, and farmyard and green manures. Plant Soil 10, 21–28.

    Google Scholar 

  • van Es H M and van Es C L 1993 Spatial nature of randomization and its effect on the outcome of field experiments. Agron. J. 85, 420–428.

    Google Scholar 

  • van Es H M, Steenhuis T S, Geohring L D, Vermeulen J and J Boll 1991 Movement of surface-applied and soil-embodied chemicals to drainage lines in a well-structured soil. In Preferential Flow. Eds. T J Gish and A Shirmohammadi. pp 59–67. ASAE, St. Joseph, MI.

    Google Scholar 

  • Wolf J and van Keulen H 1989 Modeling long-term crop response to fertilizer and soil nitrogen. II. Comparison with field results. Plant Soil 120, 27–38. Section editor: R Merckx

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sogbedji, J.M., van Es, H.M. & Hutson, J.L. N fate and transport under variable cropping history and fertilizer rate on loamy sand and clay loam soils: I. Calibration of the LEACHMN model. Plant and Soil 229, 57–70 (2001). https://doi.org/10.1023/A:1004875116644

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1004875116644

Keywords

Navigation