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How representatively can we sample soil mineral nitrogen?

Zugehörigkeit
Leibniz-Institute for Agricultural Engineering, Max-Eyth-Allee 100, D-14469 Potsdam, Germany
Giebel, Antje;
Zugehörigkeit
Department of Plant and Soil Sciences, University of Kentucky, N-122M Agr. Sci. North Building, Lexington, KY 40546-0312, USA
Wendroth, Ole;
Zugehörigkeit
Institute for Environment and Sustainability–Soil andWaste Unit, European Commission–DG Joint Research Centre, TP 280, Via Fermi,1, I-21020 Ispra (VA), Italy
Reuter, Hannes Isaak;
GND
111984890
Zugehörigkeit
Leibniz-Centre for Agricultural Landscape and Land Use Research, Institute for Landscape System Analysis, Eberswalder Str. 84, D-15374 Müncheberg, Germany
Kersebaum, Kurt-Christian;
GND
131405764
Zugehörigkeit
Leibniz-Centre for Agricultural Landscape and Land Use Research, Institute for Land Use Systems, Eberswalder Str. 84, D-15374 Müncheberg, Germany
Schwarz, Jürgen

Spatial distribution of soil mineral-N content (Nmin) is a scalevariant process. Precision farming assumes knowledge about the spatial distribution of Nmin. Moreover, sampling in management zones is based on the assumption of spatial dependence between sampling points. In the present study, variability structure of Nmin and the sources of variability were investigated. Within an agricultural landscape, Nmin was investigated across a field in a nested design over four consecutive years. Temporally unstable structure of individual nests require a sampling with several nests in the field. In the investigated field, 35%–49% of the total variability derived from small-scale variability observed at spatial distances of <5 m and from sampling and analytical errors. Differences between 10 and 26 kg N ha–1 for the soil depth increment 0–60cm can be expected. Uncertainty due to analytical errors were in the order of 5–10 kg N ha–1 for a 0–60cm layer.

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