Summary
The effectiveness of crop residues to protect the soil surface and reduce soil erosion decreases as residues decompose. The rate of residue decomposition is directly related to the temperature and moisture regimes of the residues. Predicting changes in residue mass, orientation, and soil cover requires the use of functions that relate changes in decomposition rates to changes in the temperature and water regimes. Temperature and water functions used in the residue decomposition submodel of the Wind Erosion Prediction System (WEPS) were evaluated for their effects on predictions of residue decomposition. A precipitation function (PC) was found to produce relatively more accurate estimates of decomposition than a near surface soil water content function (SWC) for describing water regime effects. The estimated accuracies of the two functions were similar when bias in the estimation was considered. Predictions made with PC had estimated accuracies of ± 11.4, 14.5, 13.5% for alfalfa, sorghum and wheat, respectively, while those made with SWC had estimated accuracies of ± 13.8, 16.2, and 16.9%, respectively. Three temperature functions were compared for use in predicting residue decomposition over a range of locations and crops. There was little difference between the temperature functions over all the locations but, for several locations, one function overpredicted decomposition more often than the other two functions. Accuracies ranged from ±4 to ±51% of the observed values. The highest values were obtained at one location, and all three temperature functions produced similar high values. Over most of the data, estimated accuracies were generally between ± 15 and ± 25%. The prediction intervals were similar to those observed for decomposition of surface-placed residues. This evaluation indicates that the temperature and water functions used in the WEPS decomposition submodel will give reasonable estimates of mass loss from surface residues using easy-to-obtain weather data.
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Arnold, J. G., Stott, D. E., Weltz, M. A., Alberts, E. E., 1991: Crop growth and residue management submodels. In: Flanagan, D. C. (ed.) WEPP Version 91.5:Documentation, Corrections and Additions. NSERL Report No. 6, USDA-ARS, National Soil Erosion Lab., West Lafayette, IN, pp. 24–38.
Bristow, K. L., Campbell, G. S., Papendick, R. I., Elliot, L. F., 1986: Simulation of heat and moisture transfer through a surface residue-soil system.Agric. Forest Meteor. 36, 193–214.
Cochran, V. L., 1991: Decomposition of barley straw in a subarctic soil in the field.Biol. Fert. Soils 10, 227–232.
Douglas, Jr., C. L., Allmaras, R. R., Rasmussen, P. E., Ramig, R. E., Roager, N. C., Jr., 1980: Wheat straw placement effects on decomposition in dryland agriculture of the Pacific Northwest.Soil Sci. Soc. Amer. J. 44, 833–837.
Douglas, Jr., C. L., Rickman, R. W., 1992: Estimating crop residue decomposition from air temperature, initial N content, and residue placement.Soil Sci. Soc. Amer. J. 56, 272–278.
Evett, S. R., Lascano, R. J., 1993: ENWATBAL.BAS: A mechanistic evapotranspiration model written in compiled BASIC.Agron. J. 85, 763–772.
Foster, G. R., 1991: Advances in wind and water erosion prediction.J. Soil Water Conserv. 46, 27–29.
Freese, F., 1960: Testing accuracy.Forest. Sci. 6, 139–145.
Hagen, L. J., 1991: A wind erosion prediction system to meet user needs.J. Soil Water Conserv. 46, 104–111.
Hagvar, S., Kjondal, B. R., 1981: Succession, diversity and feeding habits of microarthropods in decomposing birch leaves.Pedobiologia 22, 385–405.
Heilman, J. L., McInnes, K. J., Gesch, R. W., Lascono, R. J., 1992: Evaporation from ridge-tilled soil covered with herbicide-killed winter wheat.Soil Sci. Soc. Amer. J. 56, 1278–1286.
House, G. J., Stinner, R. E., 1987: Decomposition of plant residues in no-till agroecosystems: influence of litterbag mesh size and soil arthropods.Pedobiologia 30, 351–360.
Moulin, A. P., Beckie, H. J., 1994: Predicting crop residue in cropping systems, p 7–14. In: Proceedings, Soil and Crops '94 Workshop. Feb. 24 and 25 1994. University of Saskatchewan, Saskatoon, Sask., Canada, 285 pp.
Ostle, B., Mensing, R. W., 1975:Statistics in Research, 3rd edn. Almes, IA: Iowa State University Press.
SAS Inst. Inc, 1989:SAS Language: Reference, Vers. 6, 1st edn. Cary, NC: SAS Inst. Inc.
Savabi, M. R., Stott, D. E., 1995: Plant residue impact on rainfall interception.Trans. Amer. Soc. Agric. Eng. 37, 1093–1098.
Schomberg, H. H., Steiner, J. L., 1992: Microbial respiration of decomposing crop residues under dryland and irrigated conditions.Agron. Abstr. 84, 266.
Schomberg, H. H., Steiner, J. L., Unger, P. W., 1994: Decomposition and nitrogen dynamics of crop residues: residue quality and water effects.Soil Sci. Soc. Amer. J. 58, 372–381.
Schreiber, J. D., 1985: Leaching of nitrogen, phosphorus, and organic carbon from wheat straw residues: II. Loading rate.J. Environ. Qual. 14, 256–260.
Seastedt, T. R., 1984: The role of microarthropods in decomposition and mineralization processes.Ann. Rev. Entomol. 29, 25–46.
St. John, T. V., 1980: Influence of litterbags on growth of fungal vegetative structures.Oecologia 46, 130–132.
Steiner, J. L., Schomberg, H. H., Douglas, C. L., Jr., Black, A. L., 1994: Standing stem persistence in no-tillage small-grain fields.Agron. J. 86, 76–81.
Stroo, H. F., Bristow, K. L., Elliott, L. F., Papendick, R. I., Campbell, G. S., 1989: Predicting rates of wheat residue decomposition.Soil Sci. Soc. Amer. J. 53, 91–99.
Stott, D. E., Martin, J. P., 1989: Organic matter decomposition and retention in arid soils.Arid Soil Res. Rehab. 3, 115–148.
Stott, D. E., Stuart, B. L., Barrett, J. R., 1988: Residue management decision support system. Paper 88–7541,Amer. Soc. Agric. Eng., St. Joseph, MO.
Stott, D. E., Stroo, H. F., Elliott, L. F., Papendick, R. I., Unger, P. W., 1990: Wheat residue loss from fields under no-till management.Soil Sci. Soc. Amer. J. 54, 92–98.
van Veen, J. A., Feissel, M. J., 1981: Simulation model of the behavior of N in soil. In: Frissel, M. J., van Veen, J. A. (eds.)Simulation of Nitrogen Behavior of Soil Plant Systems. Wageningen: Pudoc, pp. 126–144.
van Veen, J. A., Paul, E. A., 1981: Organic C dynamics in grassland soils. 1. Background information and computer simulation.Can. J. Soil Sci. 61, 185–201.
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Schomberg, H.H., Steiner, J.L., Evett, S.R. et al. Climatic influence on residue decomposition prediction in the Wind Erosion Prediction System. Theor Appl Climatol 54, 5–16 (1996). https://doi.org/10.1007/BF00863554
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DOI: https://doi.org/10.1007/BF00863554