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Key functional soil types explain data aggregation effects on simulated yield, soil carbon, drainage and nitrogen leaching at a regional scale

Coucheney, Elsa and Eckersten, Henrik and Hoffmann, Holger and Jansson, Per-Erik and Gaiser, Thomas and Ewert, Frank and Lewan, Elisabet (2018). Key functional soil types explain data aggregation effects on simulated yield, soil carbon, drainage and nitrogen leaching at a regional scale. Geoderma. 318, 167-181
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Official URL: https://doi.org/10.1016/j.geoderma.2017.11.025

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.

Authors/Creators:Coucheney, Elsa and Eckersten, Henrik and Hoffmann, Holger and Jansson, Per-Erik and Gaiser, Thomas and Ewert, Frank and Lewan, Elisabet
Title:Key functional soil types explain data aggregation effects on simulated yield, soil carbon, drainage and nitrogen leaching at a regional scale
Series/Journal:Geoderma (0016-7061)
Year of publishing :2018
Volume:318
Page range:167-181
Number of Pages:15
Publisher:Elsevier
ISSN:0016-7061
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science
Agrovoc terms:soil properties, simulation models, crop production, yield forecasting
Keywords:Soil properties, Soil-crop models, Input data aggregation, Sensitivity analysis, Soil spatial pattern, Upscaling
URN:NBN:urn:nbn:se:slu:epsilon-e-4789
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4789
ID Code:15343
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: SLUpub Connector
Deposited On:06 Mar 2018 07:48
Metadata Last Modified:06 Mar 2018 07:48

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