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Environmental Features Important in Nonpoint Source Models — Crop Growth and Influence of Management on Soil Properties

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Part of the book series: NATO ASI Series ((ASIC,volume 345))

Abstract

The movement of nutrients and pesticides in the root zone is profoundly affected by both vegetation and state of the soil surface. Thus it is important that effects of vegetation and soil state on water and solute movement be accurately represented in dynamic mathematical models of the soil environment. Two global problems that have long-term impacts on our environment, groundwater quality, and climate change are uniquely related to the soil-plant-atmosphere interface. This and the preceding chapter discuss elements of the system that must be adequately represented in simulation models if they are to be effective tools of management. In this chapter concepts of plant growth processes and the effects of land use management and tillage on soil properties are discussed. Plant or crop growth processes described include photosynthesis and light interception, respiration, translocation, root growth, nutrient uptake, plant development, and morphogenesis. Some examples of crop growth models are presented. The discussion of soil properties covers estimates of interception, depression storage, soil bulk density, and hydraulic properties as influenced by management.

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References

  • Ahuja, L. R., D. K. Cassel, R. R. Bruce, and B. B. Barnes: 1989, ‘Evaluation of Spatial Distribution of Hydraulic Conductivity Using Effective Porosity Data,’ Soil Sci. 148(6),404–411.

    Article  Google Scholar 

  • Angus, J. F., A. Kornher, and B. W R. Torssell: 1980, ‘A Systems Approach to Estimation of Swedish Ley Production’, Progress Report 1979/80, Report 85, Uppsala: Swedish University of Agricultural Sciences.

    Google Scholar 

  • Baker, D. N.: 1980, ‘Simulation for Research and Crop Management’, in F. T. Corkin (ed.), Proceedings of World Soybean Research Conference II, Boulder, CO, Westview Press, pp. 533–546.

    Google Scholar 

  • Barnes, A., and C. C. Hole: 1978, ‘A Theoretical Basis of Growth and Maintenance Respiration,’ Ann. Bot. 42, 1217–1221.

    Google Scholar 

  • Benoit, G. R.: 1973, ‘Effect of Freeze-Thaw Cycles in Aggregate Stability and Hydraulic Conductivity of Three Soil Aggregate Sizes,’ Soil Sci. Soc. Am. Proc 37(1), 3–5.

    Article  Google Scholar 

  • Bosch, D. D.: 1986, ‘The Effects of Rainfall on the Hydraulic Conductivity of Soil Surfaces, Unpublished M.S. Thesis, University of Minnesota, 161 pp.

    Google Scholar 

  • Brakensiek, D. L., and W. J. Rawls: 1983, ‘Agricultural Management Effects on Soil Water Processes Part II: Green and Ampt Parameters for Crusting Soil,’ Trans. ASAE 26, 1753–1757.

    Google Scholar 

  • Bridge, D. W: 1976, ‘A Simulation Model Approach for Relating Effective Climate to Winter Wheat Yields on the Great Plains,’ Agricultural Meteorology 17, 185–194.

    Article  Google Scholar 

  • Charles-Edwards, D. A., D. Doley, and G. M. Rimmington: 1986, Modeling Plant Growth and Development, Academic Press, 235 pp.

    Google Scholar 

  • Ferriera, V. A., and R. E. Smith: 1990, ‘Opus: An Advanced Simulation Model for Nonpoint-Source Pollution Transport at the Field Scale - An Overview,’ in D. G. DeCoursey (ed.), Proceedings of the International Symposium on Water Quality Modeling of Agricultural Non-Point Sources, Logan, UT, U.S. Dep. of Ag., Agricultural Research Service, ARS-81, pp. 823–834.

    Google Scholar 

  • France, J., and J. H. M. Thornley: 1984, Mathematical Models in Agriculture,Butterworths, 335 pp.

    Google Scholar 

  • Haun, J. R.: 1974, ‘Prediction of Spring Wheat Yields from Temperature and Precipitation Data,’ Agronomy Journal 66, 405–409.

    Article  Google Scholar 

  • Huck, M. G., and D. Hillel: 1983, ‘A Model of Root Growth and Water Uptake Accounting for Photosynthesis, Respiration, Transpiration and Soil Hydraulics,’ in D. Hillel (ed.), Advances in Irrigation,Vol. 2, Academic Press, pp. 273–333.

    Google Scholar 

  • Lane, L. V., and M. A. Nearing: 1988, ‘WEPP Profile Model Documentation, USDA-ARS, Tucson, AZ, Draft Only.

    Google Scholar 

  • Legg, B. J.: 1981, ‘Aerial Environment and Crop Growth,’ in D. A. Rose, and D. A. Charles-Edwards (eds.), Mathematics and Plant Physiology, Academic Press, London, pp. 129–149.

    Google Scholar 

  • Linden, D. R.: 1979, ‘A Model to Predict Soil Water Storage as Affected by Tillage Practices, Ph.D. Thesis, Dept. of Soil Sci., Univ. Minn., St. Paul, MN.

    Google Scholar 

  • Linden, D. R., and D. M. Van Doren Jr.: 1987, ‘Chapter 14 Simulation of Interception, Surface Roughness, Depression Storage, and Soil Settling,’ in M. J. Shaffer, and W. E. Larsen (eds.), NTRM, a Soil-Crop Simulation Model for Nitrogen, Tillage, and Crop-Residue Management,USDA, ARS, Cons. Res. Report 34–1, pp. 90–93.

    Google Scholar 

  • Meyer, G. E., R. B. Curry, J. G. Streeter, and H. J. Mederski: 1979, ‘A Dynamic Simulator of Soybean Growth, Development, and Seed Yield, I. Theory, Structure and Validation’ Research Bulletin of the Ohio Agricultural Research and Development Center, No. 1113, 36 pp.

    Google Scholar 

  • Monsi, M., and T. Saeki: 1953, ‘Uber den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung für die Stoffproduktion,’ Japanese Journal of Botany 44, 603–613.

    Google Scholar 

  • Murata, Y.: 1975, ‘Estimation and Simulation of Rice Yield from Climatic Factors,’ Agricultural Meteorology 15, 117–131.

    Article  Google Scholar 

  • Norman, J. M.: 1979, ‘Modeling the Complete Crop Canopy,’ in B. J. Barfield, and J. E. Gerber (eds.), Modification of the Aerial Environment of Plants, ASAE Monograph, No. 2 in a Series, pp. 249–277.

    Google Scholar 

  • Norman, J. M., and G. Campbell: 1983, ‘Application of a Plant-Environment Model to Problems of Irrigation,’ in D. Hillel, Advances in Irrigation,Academic Press, 2, pp. 155–188.

    Google Scholar 

  • Onstad, C. A.: 1984, ‘Depressional Storage on Tilled Soil Surfaces’, Trans. ASAE 27:3, 729–732.

    Google Scholar 

  • Onstad, C. A., and W. B. Voorhees: 1987, ‘Chapter 5 Hydraulic Soil Parameters Affected by Tillage,’ in T. J. Logan, J. M. Davidson, J. L. Baker, and M. R. Overcash (eds.), Effects of Conservation Tillage on Groundwater Quality, Nitrates and Pesticides,Lewis Publishers, pp. 95–112.

    Google Scholar 

  • Onstad, C. A., M. L. Wolfe, C. L. Larson, and D. C. Slack: 1984, ‘Tilled Soil Subsidence During Repeated Wetting,’ Trans. ASAE 27(3), 733–736.

    Google Scholar 

  • Pitter, R. L.: 1977, ‘The Effect of Weather and Technology on Wheat Yields in Oregon,’ Agricultural Meteorology 18, 115–131.

    Article  Google Scholar 

  • Rawls, W. J., D. L. Brakensiek, and B. Soni: 1983, ‘Agricultural Management Effects on Soil Water Processes. Part I: Soil Water Retention and Green and Ampt Infiltration Parameters,’ Trans. ASAE 26, 1747–1752.

    Google Scholar 

  • Rawls, W J., and D. L. Brakensiek: 1985a, ‘Agricultural Management Effects on Soil Water Retention,’ in D. G. DeCoursey (ed.), Proceedings Natural Resources Modeling Symposium,Pingree Park, CO, Oct. 16–21, 1983, USDA-ARS-30, pp. 115–117.

    Google Scholar 

  • Rawls, W. J., and D. L. Brakensiek: 1985b, ‘Prediction of Soil Water Properties for Hydrologic Modeling,’ in Proceedings ASCE Watershed Management Symposium, Denver, CO, 297 pp.

    Google Scholar 

  • Ritchie, J. T.: 1972, ‘Model for Predicting Evaporation From a Row Crop with Incomplete Cover,’ Water Resources Research 8, 1204–1213.

    Article  Google Scholar 

  • Sakamoto, C. M.: 1978, ‘The Z-index as a Variable for Crop Yield Estimation,’ Agricultural Meteorology 19, 305–313.

    Article  Google Scholar 

  • Seif, E., and D. G. Pederson: 1978, ‘Effect of Rainfall on the Grain Yield of Spring Wheat, with an Application,’ Australian Journal of Agricultural Research 29, 1107–1115.

    Article  Google Scholar 

  • Shaffer, M. J.: 1987, Chapter 7 ‘Crop Growth Submodel (Corn),’ in M. J. Shaffer, and W. E. Larson (eds.), NTRM, A Soil-Crop Simulation Model for Nitrogen, Tillage, and Crop-Residue Management, USDA, ARS, Cons. Res. Report 34–1, pp. 57–62.

    Google Scholar 

  • Shaffer, M. J., and C. E. Clapp: 1987, Chapter 10, ‘Root Growth Submodel,’ in M. J. Shaffer, and W. E. Larson (eds.), NTRM, A Soil-Crop Simulator Model for Nitrogen, Tillage, and Crop-Residue Management, USDA, ARS, Cons. Res. Report 34–1, pp. 63–72.

    Google Scholar 

  • Shaffer, M. J., and W. E. Larson, (eds.): 1987, ‘NTRM, A Soil-Crop Simulation Model for Nitrogen, Tillage, and Crop-Residue Management, ’ USDA, ARS, Cons. Res. Report 34–1, 103 pp.

    Google Scholar 

  • Smith, R. E., and V. A. Ferreira: 1990, ‘Opus, An Advanced Simulation Model for Non-Point Source Pollution Transport at the Field Scale, ’ Model Documentation, Draft.

    Google Scholar 

  • Thornley, J. H. M.: 1977, ‘Growth, Maintenance, and Respiration: A Reinterpretation,’ Ann. Bot. 41, 1191–1203.

    Google Scholar 

  • Voorhees, W. B., R. R. Allmaras, and C. E. Johnson: 1981, ‘Alleviating Temperature Stress,’ in G. F. Arkin, and H. M. Taylor (eds.), Modifying the Root Environment to Reduce Crop Stress,ASAE Monograph, pp. 217–266.

    Google Scholar 

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© 1991 Springer Science+Business Media Dordrecht

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DeCoursey, D.G. (1991). Environmental Features Important in Nonpoint Source Models — Crop Growth and Influence of Management on Soil Properties. In: Bowles, D.S., O’Connell, P.E. (eds) Recent Advances in the Modeling of Hydrologic Systems. NATO ASI Series, vol 345. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3480-4_12

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  • DOI: https://doi.org/10.1007/978-94-011-3480-4_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5538-3

  • Online ISBN: 978-94-011-3480-4

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