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Modelling Water and Nutrient Dynamics in Soil-crop Systems Applications of different models to common data sets

Proceedings
Edited By: KC Kersebaum, JM Hecker, W Mirschel and M Wegehenkel
Publisher: Springer-Verlag
Modelling Water and Nutrient Dynamics in Soil-crop Systems
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  • Modelling Water and Nutrient Dynamics in Soil-crop Systems ISBN: 9781402044786 Hardback Apr 2007 Usually dispatched within 1-2 weeks
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About this book

Proceedings of a workshop held 2004 in M#ncheberg, Germany.

Soil-crop-atmosphere interactions play a central role in the multiple functions of rural landscapes. Agro-ecosystem models are increasingly used to support decision making on different scales towards sustainable land use and management. this is accompanied by a demand of model users for model validation to get an idea about the reliability of models. This book contains ariticles from a workshop on "Modelling water and nutrient dynamics in crop-soil systems". Data sets from lysimeters and experimental fields of multiyear crop rotations were provided for modellers. A unique data set is provided of a 100 year long term field experiment regarding crop yield and organic carbon development under different management systems.

The book includes a detailed description of data sets which can be used by modellers and the papers describe the applications of 18 different modelling approaches describing soil-crop-atmosphere interactions for water, nitrogen and carbon dynamics.

A comparison of the models applied to the same data set is provided which points out similarities and differencies in the description of single processes between the model approaches. This gives potential model users and decision makers the opportunity to compare the model outputs and get a closer insight about the applicability and required adaptations for the participating models.

Contents

Preface; Modelling water and nutrient dynamics in soil-crop systems: a comparison of simulation models applied on common data sets; K. C. Kersebaum, et al. The performance of the model AMBAV for evapotranspiration and soil moisture on Muncheberg data; H. Friesland and F-J. Lopmeier. Performance of the model SIMWASER in two contrasting case studies on soil water movement; E. Stenitzer, et al. Application and validation of the models Theseus and Opus with two field experimental data sets; M. Wegehenkel and W. Mirschel. Integrating a spatial micrometeorological model into the risk assessment for arable crops in hilly terrain; M. Acutis, et al. Modelling soil-crop interactions with AGROSIM model family; W. Mirschel and K-O. Wenkel. Crop simulation model of the second and the third productivity levels; R.A. Poluektov and V.V. Terleev. The NDICEA model, a tool to improve nitrogen use efficiency in cropping systems; G-J. H.M. van der Burgt, et al. Simulation of water and nitrogen flows on field scale; application of the SWAP-ANIMO model for the Muncheberg data-set; J. Kroes and J. Roelsma. Evaluation of water and nutrient dynamics in soil-crop systems using the eco-hydrological catchment model SWIM (Soil and Water Integrated Model); J. Post, et al. Modelling water and nitrogen dynamics in soil-crop systems with HERMES; K.C. Kersebaum. Calibration and Validation of CERES model for Simulating Water and Nutrients in Germany; A.S. Nain and K.C. Kersebaum. The impact of crop growth model choice on the simulation of water and nitrogen dynamics; E. Priesack, et al. Simulating trends in crop yield and soil carbon in a long-term experiment ? effects of rising CO2, N deposition and improved cultivation; J. Berntsen and B.M. Petersen. Comparison of methods to estimate inert carbon for initializing the CANDY model; M. Puhlmann, et al. Muncheberg field trial data set for agro-ecosystem model validation; W. Mirschel, et al. Dynamics of water, carbon and nitrogen in an agricultural used Chernozem soil in Central Germany; U. Franko, et al. The lysimeter station at Berlin-Dahlem; H. Diestel, et al.

Customer Reviews

Proceedings
Edited By: KC Kersebaum, JM Hecker, W Mirschel and M Wegehenkel
Publisher: Springer-Verlag
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