IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0151782.html
   My bibliography  Save this article

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

Author

Listed:
  • Holger Hoffmann
  • Gang Zhao
  • Senthold Asseng
  • Marco Bindi
  • Christian Biernath
  • Julie Constantin
  • Elsa Coucheney
  • Rene Dechow
  • Luca Doro
  • Henrik Eckersten
  • Thomas Gaiser
  • Balázs Grosz
  • Florian Heinlein
  • Belay T Kassie
  • Kurt-Christian Kersebaum
  • Christian Klein
  • Matthias Kuhnert
  • Elisabet Lewan
  • Marco Moriondo
  • Claas Nendel
  • Eckart Priesack
  • Helene Raynal
  • Pier P Roggero
  • Reimund P Rötter
  • Stefan Siebert
  • Xenia Specka
  • Fulu Tao
  • Edmar Teixeira
  • Giacomo Trombi
  • Daniel Wallach
  • Lutz Weihermüller
  • Jagadeesh Yeluripati
  • Frank Ewert

Abstract

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

Suggested Citation

  • Holger Hoffmann & Gang Zhao & Senthold Asseng & Marco Bindi & Christian Biernath & Julie Constantin & Elsa Coucheney & Rene Dechow & Luca Doro & Henrik Eckersten & Thomas Gaiser & Balázs Grosz & Flori, 2016. "Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-23, April.
  • Handle: RePEc:plo:pone00:0151782
    DOI: 10.1371/journal.pone.0151782
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151782
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0151782&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0151782?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Folberth, Christian & Yang, Hong & Wang, Xiuying & Abbaspour, Karim C., 2012. "Impact of input data resolution and extent of harvested areas on crop yield estimates in large-scale agricultural modeling for maize in the USA," Ecological Modelling, Elsevier, vol. 235, pages 8-18.
    2. Hansen, J. W. & Jones, J. W., 2000. "Scaling-up crop models for climate variability applications," Agricultural Systems, Elsevier, vol. 65(1), pages 43-72, July.
    3. Herbst, M. & Hellebrand, H.J. & Bauer, J. & Huisman, J.A. & Šimůnek, J. & Weihermüller, L. & Graf, A. & Vanderborght, J. & Vereecken, H., 2008. "Multiyear heterotrophic soil respiration: Evaluation of a coupled CO2 transport and carbon turnover model," Ecological Modelling, Elsevier, vol. 214(2), pages 271-283.
    4. Nendel, C. & Berg, M. & Kersebaum, K.C. & Mirschel, W. & Specka, X. & Wegehenkel, M. & Wenkel, K.O. & Wieland, R., 2011. "The MONICA model: Testing predictability for crop growth, soil moisture and nitrogen dynamics," Ecological Modelling, Elsevier, vol. 222(9), pages 1614-1625.
    5. Holger Hoffmann & Thomas Rath, 2013. "Future Bloom and Blossom Frost Risk for Malus domestica Considering Climate Model and Impact Model Uncertainties," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-13, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tenreiro, Tomás R. & García-Vila, Margarita & Gómez, José A. & Jimenez-Berni, José A. & Fereres, Elías, 2020. "Water modelling approaches and opportunities to simulate spatial water variations at crop field level," Agricultural Water Management, Elsevier, vol. 240(C).
    2. Jin, Xiuliang & Li, Zhenhai & Feng, Haikuan & Ren, Zhibin & Li, Shaokun, 2020. "Estimation of maize yield by assimilating biomass and canopy cover derived from hyperspectral data into the AquaCrop model," Agricultural Water Management, Elsevier, vol. 227(C).
    3. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
    4. Hampf, Anna C. & Carauta, Marcelo & Latynskiy, Evgeny & Libera, Affonso A.D. & Monteiro, Leonardo & Sentelhas, Paulo & Troost, Christian & Berger, Thomas & Nendel, Claas, 2018. "The biophysical and socio-economic dimension of yield gaps in the southern Amazon – A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 165(C), pages 1-13.
    5. Michael Kuhwald & Katja Dörnhöfer & Natascha Oppelt & Rainer Duttmann, 2018. "Spatially Explicit Soil Compaction Risk Assessment of Arable Soils at Regional Scale: The SaSCiA-Model," Sustainability, MDPI, vol. 10(5), pages 1-29, May.
    6. Peter Pfleiderer & Inga Menke & Carl-Friedrich Schleussner, 2019. "Increasing risks of apple tree frost damage under climate change," Climatic Change, Springer, vol. 157(3), pages 515-525, December.
    7. Carauta, Marcelo & Troost, Christian & Guzman-Bustamante, Ivan & Hampf, Anna & Libera, Affonso & Meurer, Katharina & Bönecke, Eric & Franko, Uwe & Ribeiro Rodrigues, Renato de Aragão & Berger, Thomas, 2021. "Climate-related land use policies in Brazil: How much has been achieved with economic incentives in agriculture?," Land Use Policy, Elsevier, vol. 109(C).
    8. Yoshimitsu Masaki, 2020. "Future risk of frost on apple trees in Japan," Climatic Change, Springer, vol. 159(3), pages 407-422, April.
    9. Mavromatis, T., 2016. "Spatial resolution effects on crop yield forecasts: An application to rainfed wheat yield in north Greece with CERES-Wheat," Agricultural Systems, Elsevier, vol. 143(C), pages 38-48.
    10. Podesta, Guillermo & Letson, David & Messina, Carlos & Royce, Fred & Ferreyra, R. Andres & Jones, James & Hansen, James & Llovet, Ignacio & Grondona, Martin & O'Brien, James J., 2002. "Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience," Agricultural Systems, Elsevier, vol. 74(3), pages 371-392, December.
    11. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 2 - System evaluation," Agricultural Systems, Elsevier, vol. 92(1-3), pages 39-51, January.
    12. James Watson & Andrew Challinor & Thomas Fricker & Christopher Ferro, 2015. "Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model," Climatic Change, Springer, vol. 132(1), pages 93-109, September.
    13. Klosterhalfen, A. & Herbst, M. & Weihermüller, L. & Graf, A. & Schmidt, M. & Stadler, A. & Schneider, K. & Subke, J.-A. & Huisman, J.A. & Vereecken, H., 2017. "Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands," Ecological Modelling, Elsevier, vol. 363(C), pages 137-156.
    14. Quiroga, Sonia & Iglesias, Ana, 2009. "A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain," Agricultural Systems, Elsevier, vol. 101(1-2), pages 91-100, June.
    15. Zhao, Quanying & Brocks, Sebastian & Lenz-Wiedemann, Victoria I.S. & Miao, Yuxin & Zhang, Fusuo & Bareth, Georg, 2017. "Detecting spatial variability of paddy rice yield by combining the DNDC model with high resolution satellite images," Agricultural Systems, Elsevier, vol. 152(C), pages 47-57.
    16. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 1 - System description," Agricultural Systems, Elsevier, vol. 92(1-3), pages 23-38, January.
    17. Kar, Gouranga & Verma, H.N., 2005. "Climatic water balance, probable rainfall, rice crop water requirements and cold periods in AER 12.0 in India," Agricultural Water Management, Elsevier, vol. 72(1), pages 15-32, March.
    18. Schlindwein, Sandro L. & Eulenstein, Frank & Lana, Marcos & Sieber, Stefan & Boulanger, Jean-Philippe & Guevara, Edgardo & Meira, Santiago & Gentile, Elvira & Bonatti, Michelle, 2015. "What Can Be Learned about the Adaptation Process of Farming Systems to Climate Dynamics Using Crop Models?," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(4).
    19. Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
    20. Adam, M. & Van Bussel, L.G.J. & Leffelaar, P.A. & Van Keulen, H. & Ewert, F., 2011. "Effects of modelling detail on simulated potential crop yields under a wide range of climatic conditions," Ecological Modelling, Elsevier, vol. 222(1), pages 131-143.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0151782. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.