Modelling water and nutrient dynamics in soil–crop systems: by Kurt Christian Kersebaum, Jens-Martin Hecker (auth.), Kurt

By Kurt Christian Kersebaum, Jens-Martin Hecker (auth.), Kurt Christian Kersebaum, Jens-Martin Hecker, Wilfried Mirschel, Martin Wegehenkel (eds.)

Soil-crop-atmosphere interactions play a vital function within the a number of services of rural landscapes. Agro-ecosystem versions are more and more used to help selection making on diverse scales in the direction of sustainable land use and management.This is followed through a requirement of version clients for version validation to get an idea in regards to the reliability of types. This publication comprises articles from a workshop on "Modelling water and nutrient dynamics in crop-soil systems". info units from lysimeters and experimental fields of multiyear crop rotations have been supplied for modellers. a distinct information set is equipped of a a hundred yr long-term box test concerning crop yield and natural carbon improvement below diverse administration systems.

The ebook contains a unique description of knowledge units that are utilized by modellers and the papers describe the functions of 18 various modelling ways describing soil-crop-atmosphere interactions for water, nitrogen and carbon dynamics.

A comparability of the versions utilized to an identical information set is equipped which issues out similarities and changes within the description of unmarried methods among the version ways. this offers capability version clients and choice makers the chance to check the version outputs and get a more in-depth perception in regards to the applicability and required variations for the engaging models.

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Extra info for Modelling water and nutrient dynamics in soil–crop systems: Proceedings of the workshop on “Modelling water and nutrient dynamics in soil–crop systems” held on 14–16 June 2004 in Müncheberg, Germany

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Soil parameters of lysimeters in Berlin-Dahlem For simulation of the capillary rise within the lysimeters, two different sets of soil parameters were used: “measured (LAB)” curves were constructed graphically by eye-fitting from measurements on undisturbed soil samples in the laboratory, and “estimated (PTF)” curves were derived according to the soil class of each soil horizon. Soil texture, total pore volume and water contents at specific soil suctions, as well as the saturated hydraulic conductivity for both soils are given in Diestel et al.

5 Comparison of measured (open dots) and simulated (full line) water content at the black fallow plot Water Content (%vol) Performance of model SIMWASER 35 30 25 20 15 10 5 0 1999 2000 2001 2002 2003 34 45 Crop 5 cm Water Content (%vol) 40 35 30 25 20 15 10 5 0 45 Crop 45 cm Water Content (%vol) 40 35 30 25 20 15 10 5 0 45 Crop 90 cm Water Content (%vol) 40 35 30 25 20 15 10 5 0 45 Crop 170 cm 40 35 Water Content (%vol) Fig. 6 Comparison of measured (open dots) and simulated (full line) soil water content at the crop rotation plot Performance of model SIMWASER 30 25 20 15 10 5 0 1999 2000 2001 2002 2003 35 Performance of model SIMWASER Accumulated evaporation and percolation (mm) Fig.

Figure 6 shows the soil water curves with very similar water losses until the first irrigation, even afterwards comparable water contents occur, but in autumn a different recharge and in winter a field capacity water level can be seen at all stations. Irrigation recommendations of model AMBAV end some time before yellow ripeness in cereals. The passage of frontal systems, often from west to east, is discernible in these curves from the 26 Performance of model AMBAV Fig. 7 AMBAV results: soil water content 2003 Lindenberg, with and without irrigation, sandy soil, winter wheat almost simultaneous rain events and according soil water recharges.

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