The implication of input data aggregation on upscaling of soil organic carbon changes

Bálazs Grosz


In regionalization studies the spatial resolution of driving data is often restricted by data availability or limited computational capacity. Method and level of spatial driver aggregation in upscaling studies are sources of uncertainty and might bias aggregated model results. The suitability of upscaled model results using aggregated driving data depends on both the sensitivity of the model to these model drivers and the scale of interest to which the model output will be aggregated. An important component of soil plant atmosphere systems is the soil organic matter content influencing GHG emissions and the soil fertility of croplands.

The implications of driver aggregation schemes on different system properties of croplands have been examined in a scaling exercise within the joint research project MACSUR. In this study, meteorological driving data and data on soil properties on several aggregation levels have been used to calculate the organic carbon change of cropland soils of North Rhine-Westphalia with an ensemble of biogeochemical models.

The results of this scaling exercise show that the aggregation of meteorological data has little impact on modeled soil organic carbon changes. However, model uncertainty increases slightly with decreasing scale of interest from NUTS 2 level to smaller grid cell size. Conversely, the aggregation of soil properties resulted in high uncertainty ranges constraining the predictable scale of interest for all models. The study gives an indication on adequate spatial aggregation schemes in dependence on the scope of regionalization studies addressing soil organic carbon changes.

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Authors: Grosz, Balázs*1; Dechow, Rene1; Hoffmann, Holger2; Zhao, Gang2; Constantin, Julie3; Raynal, Helene3; Wallach, Daniel3; Coucheney, Elsa4; Lewan, Elisabet4; Eckersten, Henrik5; Specka, Xenia6; Kersebaum, Kurt-Christian6; Nendel, Claas6; Kuhnert, Matthias7; Yeluripati, Jagadeesh8; Kiese, Ralf9; Haas, Edwin9; Klatt, Steffen9; Teixeira, Edmar10; Bindi, Marco11; Trombi, Giacomo11; Moriondo, Marco12; Doro, Luca13; Roggero, Pier Paolo13; Zhao, Zhigan14; Wang, Enli14; Vanuytrecht, Eline15; Tao, Fulu16; Rötter, Reimund16; Cammarano,Davide17, Asseng, Senthold17; Weihermüller, Lutz18; Siebert, Stefan2; Gaiser, Thomas2; Ewert, Frank2

Affiliations: 1Thünen-Institute of Climate-Smart-Agriculture, Bundesallee 50, 38116 Braunschweig, DE; 2Institute of Crop Science and Resource Conservation/Crop Science Group, University of Bonn, Katzenburgweg 5, 53115 Bonn, DE; 3Equipe MAGE, INRA, 24 Chemin de Borde Rouge – Auzeville CS 5267, 31326 Castanet-Tolosan Cedex, FR; 4Biogeophysics and water quality, Department of Soil and Environment, Swedish University of Agricultural Sciences, Lennart Hjelms väg 9, 750 07 Uppsala, SE; 5Department of Crop Production Ecology, Swedish University of Agricultural Sciences, Ulls väg 16, 750 07 Uppsala, SE; 6Institute of Landscape Systems Analysis, Leibniz Centre for Agricultural Landscape Research, 15374; Müncheberg, DE; 7Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, 23 St Machar; Drive, Aberdeen AB24 3 UU, Scotland, UK; 8The James Hutton Institute, Craigiebuckler, Aberdeen, AB15 8 QH, UK; 9Institute of Meteorology and Climate Research – Atmospheric Environmental Research, Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, DE;10Systems Modelling Team (Sustainable Production Group), The New Zealand Institute for Plant and Food Research Limited, Canterbury Agriculture & Science Centre, Gerald St, Lincoln 7608, NZ; 11Department of Agri-food Production and Environmental Sciences - University of Florence, Piazzale delle; Cascine 18, 50144 Firenze, IT; 12Marco Moriondo, CNR-Ibimet, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy; 13Desertification Research Group, Universitá degli Studi di Sassari, Viale Italia 39, 07100 Sassari, IT; 14 CSIRO Land and Water, Clunies Ross Street, Canberra, ACT, AU; 15Division Soil & Water Management, KU Leuven, Celestijnenlaan 200E, PO 2411, 3001 Heverlee, BE; 16Climate Impacts Group, Natural Resources Institute Finland (Luke), 00790 Helsinki, FI; 17Agricultural & Biological Engineering Department, University of Florida, Frazier Rogers Hall, Gainesville, FL; 32611, USA; 18Institute of Bio- & Geosciences Agrosphere (IBG-3), Forschungszentrum Jülich, 52425 Jülich, DE

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