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Institute of

AK Climate-Smart Agriculture

Project

Risk assessment for soil organic carbon stocks


Lead Institute AK Institute of Climate-Smart Agriculture

Examination of the effect of data aggregation on modeled SOC sequestration with Century
© Thünen-Institut/René Dechow

Within the scope of the FACCE JPI MACSUR we examine the effects of land use and climate change on the humus contents of agricultural soils in Europe and integrate advanced approaches into crop models.

Background and Objective

Soil organic carbon plays a vital role in climate risk assessment because of its meaning for soil fertility and soil structural stability in agro ecosystems on the on hand and its sensitivity to climate change and land use on the other hand. In crop models the strong correlation between SOC and bulk density, their control on soil hydraulic properties are significant for estimating water and nutrition storage and crop growth. A detailed climate change risk assessment for future yield stability needs to assess the risk of changes of soil organic  carbon stocks in dependence on predicted natural and anthropogenic conditions and the impact those conditions will have on crop growth processes.

Approach

The sub project aims to inventory and collect data suitable to initialize biophysical models (RothC, Century) on a Paneuropean scale and to validate these models. Tested models will be applied to simulate trends in soil organic carbon stocks and related yield and yield stability for scenarios with respect to prospective climate and land use/ land use intensity scenarios in Europe and neighboring countries. To quantify the uncertainty of regionalization studies examining the influence of validation and driving data uncertainty will be performed.

Involved external Thünen-Partners

  • Forschungszentrum Jülich
    (Jülich, Deutschland)
  • Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)
    (Paris, Toulouse, Montpellier, Avignon, Ivry-sur-Seine, Clermont-Ferrand, Rennes, Thiverval-Grignon, Dijon, Orleans, Bordeaux, Frankreich)
  • Karlsruher Institut für Technologie (KIT)
    (Garmisch-Partenkirchen, Deutschland)
  • Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V.
    (Müncheberg, Deutschland)
  • Swedish University of Agricultural Science - SLU
    (Uppsala, Lysekil, Schweden)
  • MTT Agrifood Research
    (Helsinki, Finnland)
  • Università degli Studi di Sassari
    (Sassari, Italien)
  • University of Aberdeen
    (Aberdeen, Großbritannien (inkl. Nordirland))
  • Rheinische Friedrich-Wilhelms-Universität Bonn
    (Bonn, Deutschland)
  • Università degli Studi di Firenze
    (Firenze, Italien)

Funding Body

  • Federal Ministry of Education and Research (BMBF)
    (national, öffentlich)

Duration

1.2012 - 3.2015

More Information

Projekt type:
Project funding number: 031A103A
Funding program: EU - JPI on Agriculture, Food Security and Climate Change (JPI FACCE)
Project status: finished

Publications

  1. 0

    Maharjan GR, Hoffmann H, Webber H, Srivastava AK, Weihermüller L, Villa A, Coucheney E, Lewan E, Trombi G, Moriondo M, Bindi M, Grosz BP, Dechow R, Kuhnert M, Doro L, Kersebaum KC, Stella T, Specka X, Nendel C, Constantin J, et al (2019) Effects of input data aggregation on simulated crop yields in temperate and Mediterranean climates. Eur J Agron 103:32-46, DOI:10.1016/j.eja.2018.11.001

  2. 1

    Kuhnert M, Yeluripati JB, Smith P, Hoffmann H, Oijen M van, Constantin J, Coucheney E, Dechow R, Eckersten H, Gaiser T, Grosz BP, Haas E, Kersebaum KC, Kiese R, Klatt S, Lewan E, Nendel C, Raynal H, Sosa C, Specka X, et al (2017) Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands. Eur J Agron 88:41-52, DOI:10.1016/j.eja.2016.06.005

  3. 2

    Grosz BP, Dechow R, Gebbert S, Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Coucheney E, Lewan E, Eckersten H, Specka X, Kersebaum KC, Nendel C, Kuhnert M, Yeluripati JB, Haas E, Teixeira E, Bindi M, Trombi G, et al (2017) The implication of input data aggregation on up-scaling soil organic carbon changes. Environ Modelling Software 96:361-377, DOI:10.1016/j.envsoft.2017.06.046

  4. 3

    Hoffmann H, Zhao G, Asseng S, Bindi M, Cammarano D, Constantin J, Coucheney E, Dechow R, Doro L, Eckersten H, Gaiser T, Grosz BP, Haas E, Kassie BT, Kersebaum KC, Kiese R, Klatt S, Kuhnert M, Lewan E, Moriondo M, et al (2016) Analysing data aggregation effects on large-scale yield simulations. In: Ewert F, Boote KJ, Rötter RP, Thorburn PJ, Nendel C (eds) International Crop Modelling Symposium 15-17 march 2016, Berlin, book of abstracts. pp 72-73

  5. 4

    Kuhnert M, Yeluripati JB, Smith P, Hoffmann H, Oijen M van, Constantin J, Coucheney E, Dechow R, Eckersten H, Gaiser T, Grosz BP, Haas E, Kersebaum KC, Kiese R, Klatt S, Lewan E, Nendel C, Raynal H, Sosa C, Specka X, et al (2016) Effects of climate data aggregation on regional net primary primary production (NPP) modelling [online]. In: Sauvage S, Sanchez-Perez J-M, RizzoliA (eds) Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), July 10-14, 2016, Toulouse, France. p 1, zu finden in <http://scholarsarchive.byu.edu/iemssconference/2016/Stream-B/51> [zitiert am 05.07.2017]

  6. 5

    Kuhnert M, Yeluripati JB, Smith P, Hoffmann H, Constantin J, Coucheney E, Dechow R, Eckersten H, Gaiser T, Grosz BP, Haas E, Kersebaum KC, Kiese R, Klatt S, Lewan E, Nendel C, Raynal H, Sosa C, Specka X, Teixeira E, et al (2016) Impacts of soil and weather data aggregation in spatial modelling of net primary production of croplands. In: Ewert F, Boote KJ, Rötter RP, Thorburn PJ, Nendel C (eds) International Crop Modelling Symposium 15-17 march 2016, Berlin, book of abstracts. pp 86-87

  7. 6

    Haas E, Kiese R, Klatt S, Hoffmann H, Zhao G, Ewert F, Constantin J, Raynal H, Coucheney E, Lewan E, Sosa C, Dechow R, Grosz BP, Eckersten H, Gaiser T, Kuhnert M, Smith P, Kersebaum KC, Nendel C, Specka X, et al (2016) Responses of soil nitrous oxide emissions and nitrate leaching on climate, soil and management input data aggregation: a biogeochemistry model ensemble study. In: Ewert F, Boote KJ, Rötter RP, Thorburn PJ, Nendel C (eds) International Crop Modelling Symposium 15-17 march 2016, Berlin, book of abstracts. pp 270-271

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