Field data set of different cropping systems for agro-ecosystem modelling from Müncheberg, Germany

  • Wilfried Mirschel Leibniz-Centre for Agricultural Landscape Research, Institute of Landscape Systems Analysis
  • Dietmar Barkusky Leibniz Centre for Agricultural Landscape Research (ZALF), Experimental Station
  • Kurt Christian Kersebaum Leibniz Centre for Agricultural Landscape Research (ZALF), Institute of Landscape Systems Analysis
  • Liane Laacke Leibniz Centre for Agricultural Landscape Research (ZALF), Department of Landscape Information Systems
  • Karin Luzi Leibniz Centre for Agricultural Landscape Research (ZALF), Institute of Landscape Systems Analysis
  • Gunhild Rosner Leibniz Centre for Agricultural Landscape Research (ZALF), Institute of Land Use Systems
  • Karl-Otto Wenkel Leibniz Centre for Agricultural Landscape Research (ZALF), Institute of Landscape Systems Analysis

Abstract

A coherent field dataset (1993-1998) for three different cropping systems (intensive, organic, extensive) under rainfed conditions on the basis of the identical crop rotation (sugar beet - winter wheat - winter barley - winter rye - catch crop) located at the Experimental Station with sandy soils (Eutric Cambisol) of the Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg, Germany, is described in detail. Soil and crop processes as well as meteorological parameters were intensively monitored and all agro-management actions were meticulously recorded. The dataset contains data for crop (ontogenesis, plant, tiller and ear numbers, above-ground and root biomasses, yield, carbon and nitrogen content), soil (water and nitrogen contents), weather (all essential meteorological parameters) and management (soil tillage, sowing, fertilization, harvest). Additional the data set contains the meta-information for the observations. The dataset was used within the international workshop “Modelling Water and Nutrient Dynamics in Soil-Water System” with the participation of 18 different models from nine countries. The dataset is available via the Open Research Data Portal at ZALF Müncheberg and is published under DOI 10.4228/ZALF.1992.167.

 

Published
2018-02-12
Section
Articles