Comparison of site sensitivity of crop models using spatially variable field data from Precision Agriculture

  1. Kersebaum, Kurt Christian ORCID logo
  2. Wallor, Evelyn
  3. Ventrella, Domenico
  4. Cammarano, Davide
  5. Choucheney, Elsa
  6. Ewert, Frank
  7. Ferrise, Roberto
  8. Gaiser, Thomas
  9. Garofalo, Pasquale
  10. Giglio, Luisa
  11. Giola, Pietro
  12. Hoffmann, Munir
  13. Lana, Marcos ORCID logo
  14. Lewan, Elisabet
  15. Maharjan, Ganga Ram
  16. Moriondo, Marco
  17. Nendel, Claas ORCID logo
  18. Pohankova, Eva
  19. Roggero, Pier Paolo
  20. Trnka, Miroslav
  21. Trombi, Giacomo

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C1.1-D2 confidential 2017-10-31.pdf 622,65KB
WeightNameValue
1000 Titel
  • Comparison of site sensitivity of crop models using spatially variable field data from Precision Agriculture
1000 Autor/in
  1. Kersebaum, Kurt Christian |
  2. Wallor, Evelyn |
  3. Ventrella, Domenico |
  4. Cammarano, Davide |
  5. Choucheney, Elsa |
  6. Ewert, Frank |
  7. Ferrise, Roberto |
  8. Gaiser, Thomas |
  9. Garofalo, Pasquale |
  10. Giglio, Luisa |
  11. Giola, Pietro |
  12. Hoffmann, Munir |
  13. Lana, Marcos |
  14. Lewan, Elisabet |
  15. Maharjan, Ganga Ram |
  16. Moriondo, Marco |
  17. Nendel, Claas |
  18. Pohankova, Eva |
  19. Roggero, Pier Paolo |
  20. Trnka, Miroslav |
  21. Trombi, Giacomo |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-06-02
1000 Erschienen in
1000 Quellenangabe
  • 10:C1.1-D2
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Verlagsversion
  • https://ojs.macsur.eu/index.php/Reports/article/view/C1.1-D2 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Site conditions and soil properties have a strong influence on impacts of climate change on crop production. Vulnerability of crop production to changing climate conditions is highly determined by the ability of the site to buffer periods of adverse climatic situations like water scarcity or excessive rainfall. Therefore, the capability of models to reflect crop responses and water and nutrient dynamics under different site conditions is essential to assess climate impact even on a regional scale. To test and improve sensitivity of models to various site properties such as soil variability and hydrological boundary conditions, spatial variable data sets from precision farming of two fields in Germany and Italy were provided to modellers. For the German 20 ha field soil and management data for 60 grid points for 3 years (2 years wheat, 1 year triticale) were provided. For the Italian field (12 ha) information for 100 grid points were available for three growing seasons of durum wheat. Modellers were asked to run their models using a) the model specific procedure to estimate soil hydraulic properties from texture using their standard procedure and use in step b) fixed values for field capacity and wilting point derived from soil taxonomy. Only the phenology and crop yield of one grid point provided for a basic calibration. In step c) information for all grid points of the first year (yield, soil water and mineral N content for Germany, yield, biomass and LAI for Italy) were provided. First results of five out of twelve participating models are compared against measured state variables analysing their site specific response and consistency across crop and soil variables.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006415896 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-3679-8427|https://frl.publisso.de/adhoc/uri/V2FsbG9yLCBFdmVseW4=|https://frl.publisso.de/adhoc/uri/VmVudHJlbGxhLCBEb21lbmljbw==|https://frl.publisso.de/adhoc/uri/Q2FtbWFyYW5vLCBEYXZpZGU=|https://frl.publisso.de/adhoc/uri/Q2hvdWNoZW5leSwgRWxzYQ==|https://frl.publisso.de/adhoc/uri/RXdlcnQsIEZyYW5r|https://frl.publisso.de/adhoc/uri/RmVycmlzZSwgUm9iZXJ0bw==|https://frl.publisso.de/adhoc/uri/R2Fpc2VyLCBUaG9tYXM=|https://frl.publisso.de/adhoc/uri/R2Fyb2ZhbG8sIFBhc3F1YWxl|https://frl.publisso.de/adhoc/uri/R2lnbGlvLCBMdWlzYQ==|https://frl.publisso.de/adhoc/uri/R2lvbGEsIFBpZXRybw==|https://frl.publisso.de/adhoc/uri/SG9mZm1hbm4sIE11bmly|https://orcid.org/0000-0002-1733-1100|https://frl.publisso.de/adhoc/uri/TGV3YW4sIEVsaXNhYmV0|https://frl.publisso.de/adhoc/uri/TWFoYXJqYW4sIEdhbmdhIFJhbQ==|https://frl.publisso.de/adhoc/uri/TW9yaW9uZG8sIE1hcmNv|https://orcid.org/0000-0001-7608-9097|https://frl.publisso.de/adhoc/uri/UG9oYW5rb3ZhLCBFdmE=|https://frl.publisso.de/adhoc/uri/Um9nZ2VybywgUGllciBQYW9sbw==|https://frl.publisso.de/adhoc/uri/VHJua2EsIE1pcm9zbGF2|https://frl.publisso.de/adhoc/uri/VHJvbWJpLCBHaWFjb21v
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Bundesministerium für Ernährung und Landwirtschaft |
  3. Ministero delle Politiche Agricole Alimentari e Forestali |
  4. Ministerstvo Školství, Mládeže a Tělovýchovy |
  5. Národní Agentura pro Zemědělský Výzkum |
  6. Svenska Forskningsrådet Formas |
  7. Sveriges Lantbruksuniversitet |
1000 Fördernummer
  1. 031B0039C
  2. 2851ERA01
  3. D.M. 24064/7303/15 of 16/Nov/2015
  4. NPU I LO1415
  5. -
  6. 220-2007-1218
  7. -
1000 Förderprogramm
  1. FACCE JPI MACSUR2
  2. -
  3. -
  4. National Sustainability Program I
  5. QJ1310123
  6. -
  7. Soil-Water-Landscape
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm FACCE JPI MACSUR2
    1000 Fördernummer 031B0039C
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Ernährung und Landwirtschaft |
    1000 Förderprogramm -
    1000 Fördernummer 2851ERA01
  3. 1000 joinedFunding-child
    1000 Förderer Ministero delle Politiche Agricole Alimentari e Forestali |
    1000 Förderprogramm -
    1000 Fördernummer D.M. 24064/7303/15 of 16/Nov/2015
  4. 1000 joinedFunding-child
    1000 Förderer Ministerstvo Školství, Mládeže a Tělovýchovy |
    1000 Förderprogramm National Sustainability Program I
    1000 Fördernummer NPU I LO1415
  5. 1000 joinedFunding-child
    1000 Förderer Národní Agentura pro Zemědělský Výzkum |
    1000 Förderprogramm QJ1310123
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Svenska Forskningsrådet Formas |
    1000 Förderprogramm -
    1000 Fördernummer 220-2007-1218
  7. 1000 joinedFunding-child
    1000 Förderer Sveriges Lantbruksuniversitet |
    1000 Förderprogramm Soil-Water-Landscape
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6415896.rdf
1000 Erstellt am 2019-08-20T12:42:11.670+0200
1000 Erstellt von 122
1000 beschreibt frl:6415896
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-01-31T01:17:53.037+0100
1000 Objekt bearb. Tue Aug 20 12:43:36 CEST 2019
1000 Vgl. frl:6415896
1000 Oai Id
  1. oai:frl.publisso.de:frl:6415896 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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