Abstract

The effects of aggregating soil data (DAE) by areal majority of soil mapping units was explored for regional simulations with the soil-vegetation model CoupModel for a region in Germany (North Rhine-Westphalia). DAE were analysed for wheat yield, drainage, soil carbon mineralisation and nitrogen leaching below the root zone. DAE were higher for soil C mineralization and N leaching than for yield and drainage and were strongly related to the presence of specific soils within the study region. These soil types were associated to extreme simulated output variables compared to the mean variable in the region. The spatial aggregation of these key functional soils within sub-regions additionally influenced the DAE. A spatial analysis of their spatial pattern (i.e. their presence/absence, coverage and aggregation) can help in defining the appropriate grid resolution that would minimize the error caused by aggregating soil input data in regional simulations.

Keywords

Soil properties; Soil-crop models; Input data aggregation; Sensitivity analysis; Soil spatial pattern; Upscaling

Published in

Geoderma
2018, Volume: 318, pages: 167-181
Publisher: ELSEVIER SCIENCE BV

SLU Authors

• Coucheney, Elsa

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

• Eckersten, Henrik

  • Department of Crop Production Ecology, Swedish University of Agricultural Sciences
    

• Lewan, Elisabet

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Soil Science


Publication identifier

DOI: https://doi.org/10.1016/j.geoderma.2017.11.025

Permanent link to this page (URI)

https://res.slu.se/id/publ/94005