Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations

  1. Hoffmann, Holger
  2. Zhao, Gang
  3. Asseng, Senthold
  4. Bindi, Marco
  5. Biernath, Christian
  6. Constantin, Julie
  7. Coucheney, Elsa
  8. Dechow, Rene
  9. Doro, Luca
  10. Eckersten, Henrik
  11. Gaiser, Thomas
  12. Grosz, Balázs
  13. Heinlein, Florian
  14. Kassie, Belay T.
  15. Klein, Christian
  16. Kuhnert, Matthias
  17. Lewan, Elisabet
  18. Moriondo, Marco
  19. Nendel, Claas
  20. Priesack, Eckart
  21. Raynal, Helene
  22. Roggero, Pier P.
  23. Rötter, Reimund P.
  24. Siebert, Stefan
  25. Specka, Xenia
  26. Tao, Fulu
  27. Teixeira, Edmar
  28. Trombi, Giacomo
  29. Wallach, Daniel
  30. Weihermüller, Lutz
  31. Yeluripati, Jagadeesh
  32. Ewert, Frank
  33. Kersebaum, Kurt Christian ORCID logo
  34. Nendel, Claas ORCID logo

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WeightNameValue
1000 Titel
  • Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations
1000 Autor/in
  1. Hoffmann, Holger |
  2. Zhao, Gang |
  3. Asseng, Senthold |
  4. Bindi, Marco |
  5. Biernath, Christian |
  6. Constantin, Julie |
  7. Coucheney, Elsa |
  8. Dechow, Rene |
  9. Doro, Luca |
  10. Eckersten, Henrik |
  11. Gaiser, Thomas |
  12. Grosz, Balázs |
  13. Heinlein, Florian |
  14. Kassie, Belay T. |
  15. Klein, Christian |
  16. Kuhnert, Matthias |
  17. Lewan, Elisabet |
  18. Moriondo, Marco |
  19. Nendel, Claas |
  20. Priesack, Eckart |
  21. Raynal, Helene |
  22. Roggero, Pier P. |
  23. Rötter, Reimund P. |
  24. Siebert, Stefan |
  25. Specka, Xenia |
  26. Tao, Fulu |
  27. Teixeira, Edmar |
  28. Trombi, Giacomo |
  29. Wallach, Daniel |
  30. Weihermüller, Lutz |
  31. Yeluripati, Jagadeesh |
  32. Ewert, Frank |
  33. Kersebaum, Kurt Christian |
  34. Nendel, Claas |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-04-07
1000 Erschienen in
1000 Quellenangabe
  • 11(4): e0151782
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0151782 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824533/ |
1000 Ergänzendes Material
  • http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151782#sec029 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scales, varying largely across models. Thus, we evaluated the error associated with spatially aggregated soil and climate data for 14 crop models. Yields of winter wheat and silage maize were simulated under water-limited production conditions. We calculated this error from crop yields simulated at spatial resolutions from 1 to 100 km for the state of North Rhine-Westphalia, Germany. Most models showed yields biased by <15% when aggregating only soil data. The relative mean absolute error (rMAE) of most models using aggregated soil data was in the range or larger than the inter-annual or inter-model variability in yields. This error increased further when both climate and soil data were aggregated. Distinct error patterns indicate that the rMAE may be estimated from few soil variables. Illustrating the range of these aggregation effects across models, this study is a first step towards an ex-ante assessment of aggregation errors in large-scale simulations.
1000 Sacherschließung
lokal Maize
lokal Wheat
lokal Seasons
lokal Simulation and modeling
lokal Germany
lokal Winter
lokal Cereal crops
lokal Agricultural soil science
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. German Federal Ministry of Food and Agriculture (BMEL) |
  2. Federal Office for Agriculture and Food (BLE) |
  3. FACCE MACSUR |
  4. Finnish Ministry of Agriculture and Forestry (MMM) |
  5. Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning |
  6. Swedish University of Agricultural Sciences, Faculty of Natural Resources and Agricultural Sciences |
  7. - |
  8. Helmholtz Centre for Environmental Research |
  9. Helmholtz-Gemeinschaft Deutscher Forschungszentren (HGF) |
  10. German Research Foundation (DFG) |
  11. German Science Foundation |
1000 Fördernummer
  1. -
  2. 2851ERA01J
  3. 3200009600
  4. -
  5. 220-2007-1218
  6. -
  7. -
  8. -
  9. -
  10. FOR1695
  11. EW 119/5-1
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
  6. Soil-Water-Landscape funding
  7. INRA ACCAF metaprogram
  8. REKLIM - Regional Climate Change Project
  9. Remote Sensing and Earth System Dynamics (EDA)
  10. -
  11. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer German Federal Ministry of Food and Agriculture (BMEL) |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Federal Office for Agriculture and Food (BLE) |
    1000 Förderprogramm -
    1000 Fördernummer 2851ERA01J
  3. 1000 joinedFunding-child
    1000 Förderer FACCE MACSUR |
    1000 Förderprogramm -
    1000 Fördernummer 3200009600
  4. 1000 joinedFunding-child
    1000 Förderer Finnish Ministry of Agriculture and Forestry (MMM) |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning |
    1000 Förderprogramm -
    1000 Fördernummer 220-2007-1218
  6. 1000 joinedFunding-child
    1000 Förderer Swedish University of Agricultural Sciences, Faculty of Natural Resources and Agricultural Sciences |
    1000 Förderprogramm Soil-Water-Landscape funding
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer - |
    1000 Förderprogramm INRA ACCAF metaprogram
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer Helmholtz Centre for Environmental Research |
    1000 Förderprogramm REKLIM - Regional Climate Change Project
    1000 Fördernummer -
  9. 1000 joinedFunding-child
    1000 Förderer Helmholtz-Gemeinschaft Deutscher Forschungszentren (HGF) |
    1000 Förderprogramm Remote Sensing and Earth System Dynamics (EDA)
    1000 Fördernummer -
  10. 1000 joinedFunding-child
    1000 Förderer German Research Foundation (DFG) |
    1000 Förderprogramm -
    1000 Fördernummer FOR1695
  11. 1000 joinedFunding-child
    1000 Förderer German Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer EW 119/5-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6404216.rdf
1000 Erstellt am 2017-08-28T14:04:07.156+0200
1000 Erstellt von 218
1000 beschreibt frl:6404216
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Mon Dec 07 17:43:57 CET 2020
1000 Objekt bearb. Mon Dec 07 17:43:56 CET 2020
1000 Vgl. frl:6404216
1000 Oai Id
  1. oai:frl.publisso.de:frl:6404216 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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