Methods of Introducing System Models into Agricultural Research

Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.

Foreword vii Preface ix Contributors xiii 1 A Protocol for Parameterization and Calibration of RZWQM2 in Field Research 1 L. Ma, L.R. Ahuja, S.A. Saseendran, R.W. Malone, T.R. Green, B.T. Nolan, P.N.S. Bartling, G.N. Flerchinger, K.J. Boote, and G. Hoogenboom 2 Special Features of the HERMES Model and Additional Procedures for Parameterization, Calibration, Validation, and Applications 65 K.C. Kersebaum 3 Parameterizing LEACHM Model for Simulating Water Drainage Fluxes and Nitrate Leaching Losses 95 Jay D. Jabro, John L. Hutson, and Ann D. Jabro, 4 Special Features of the SPACSYS Modeling Package and Procedures for Parameterization and Validation 117 L. Wu and A. Shepherd 5 Special Features of the DayCent Modeling Package and Additional Procedures for Parameterization, Calibration, Validation, and Applications 155 S.J. Del Grosso, W.J. Parton, C.A. Keough, and M. Reyes-Fox 6 Special Features of the EPIC and APEX Modeling Package and Procedures for Parameterization, Calibration, Validation, and Applications 177 Xiuying Wang, Armen Kemanian, and Jimmy Williams 7 Parameterization of the GPFARM-Range Model for Simulating Rangeland Productivity 209 S.G.K. Adiku, L.R. Ahuja, G.H. Dunn, J.D. Derner, A.A. Andales, L. Garcia, and P.N.S. Bartling 8 Spatial Relationships of Soil Properties, Crop Indices, and Nitrogen Application Pattern with Wheat Growth and Yield in a Field 229 Ole Wendroth, K. Christian Kersebaum, G. Schwab, and L. Murdock 9 Parameterization of Energy Balance Components and Remote Sensing in Systems Modeling 261 Jerry L. Hatfield 10 Quality Assurance of Weather Data for Agricultural System Model Input: A Case Study using the Walnut Creek Watershed in Central Iowa 283 R.W. Malone, D.W. Meek, L. Ma, D.B. Jaynes, B.T. Nolan, and D.L. Karlen 11 Modeling Winter Wheat Production across Europe with WOFOST—The Effect of Two New Zonations and Two Newly Calibrated Model Parameter Sets 297 Joost Wolf, Rudi Hessel, Hendrik Boogaard, Allard de Wit, Wies Akkermans, and Kees van Diepen 12 Inverse Modeling with RZWQM2 to Predict Water Quality 327 Bernard T. Nolan, Robert W. Malone, Liwang Ma, Christopher T. Green, Michael N. Fienen, and Dan B. Jaynes 13 Estimating DSSAT Cropping System Cultivar-Specific Parameters Using Bayesian Techniques 365 James W. Jones, Jianqiang He, Kenneth J. Boote, Paul Wilkens, C.H. Porter, and Z. Hu 14 The STICS Crop Model and Associated Software for Analysis, Parameterization, and Evaluation 395 S. Buis, D. Wallach, S. Guillaume, H. Varella, P. Lecharpentier, M. Launay, M. Guérif, J.-E. Bergez, and E. Justes 15 A Synthesis of Current Parameterization Approaches and Needs for Further Improvements L.R. Ahuja and Liwang Ma Index 441 About the Series 453