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  • Fronzek, StefanFinnish Environment Institute (författare)

Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change

  • Artikel/kapitelEngelska2018

Förlag, utgivningsår, omfång ...

  • Elsevier BV,2018

Nummerbeteckningar

  • LIBRIS-ID:oai:lup.lub.lu.se:abfc64d7-675d-4c99-b7cd-ac6ee2d3e0cd
  • https://lup.lub.lu.se/record/abfc64d7-675d-4c99-b7cd-ac6ee2d3e0cdURI
  • https://doi.org/10.1016/j.agsy.2017.08.004DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

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Klassifikation

  • Ämneskategori:art swepub-publicationtype
  • Ämneskategori:ref swepub-contenttype

Anmärkningar

  • Crop growth simulation models can differ greatly in their treatment of key processes and hence in their response to environmental conditions. Here, we used an ensemble of 26 process-based wheat models applied at sites across a European transect to compare their sensitivity to changes in temperature (-2 to +9°C) and precipitation (-50 to +50%). Model results were analysed by plotting them as impact response surfaces (IRSs), classifying the IRS patterns of individual model simulations, describing these classes and analysing factors that may explain the major differences in model responses.The model ensemble was used to simulate yields of winter and spring wheat at four sites in Finland, Germany and Spain. Results were plotted as IRSs that show changes in yields relative to the baseline with respect to temperature and precipitation. IRSs of 30-year means and selected extreme years were classified using two approaches describing their pattern.The expert diagnostic approach (EDA) combines two aspects of IRS patterns: location of the maximum yield (nine classes) and strength of the yield response with respect to climate (four classes), resulting in a total of 36 combined classes defined using criteria pre-specified by experts. The statistical diagnostic approach (SDA) groups IRSs by comparing their pattern and magnitude, without attempting to interpret these features. It applies a hierarchical clustering method, grouping response patterns using a distance metric that combines the spatial correlation and Euclidian distance between IRS pairs. The two approaches were used to investigate whether different patterns of yield response could be related to different properties of the crop models, specifically their genealogy, calibration and process description.Although no single model property across a large model ensemble was found to explain the integrated yield response to temperature and precipitation perturbations, the application of the EDA and SDA approaches revealed their capability to distinguish: (i) stronger yield responses to precipitation for winter wheat than spring wheat; (ii) differing strengths of response to climate changes for years with anomalous weather conditions compared to period-average conditions; (iii) the influence of site conditions on yield patterns; (iv) similarities in IRS patterns among models with related genealogy; (v) similarities in IRS patterns for models with simpler process descriptions of root growth and water uptake compared to those with more complex descriptions; and (vi) a closer correspondence of IRS patterns in models using partitioning schemes to represent yield formation than in those using a harvest index.Such results can inform future crop modelling studies that seek to exploit the diversity of multi-model ensembles, by distinguishing ensemble members that span a wide range of responses as well as those that display implausible behaviour or strong mutual similarities.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Pirttioja, NinaFinnish Environment Institute (författare)
  • Carter, Timothy R.Finnish Environment Institute (författare)
  • Bindi, MarcoUniversity of Florence (författare)
  • Hoffmann, HolgerUniversity of Bonn (författare)
  • Palosuo, TaruNatural Resources Institute Finland (Luke) (författare)
  • Ruiz-Ramos, MargaritaTechnical University of Madrid (författare)
  • Tao, FuluNatural Resources Institute Finland (Luke) (författare)
  • Trnka, MiroslavMendel University,Global Change Research Centre of the Czech Academy of Sciences (författare)
  • Acutis, MarcoUniversity of Milan (författare)
  • Asseng, SentholdUniversity of Florida (författare)
  • Baranowski, PiotrInstitute of Agrophysics, PAS (författare)
  • Basso, BrunoMichigan State University (författare)
  • Bodin, PerLund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science(Swepub:lu)nate-peb (författare)
  • Buis, SamuelEnvironnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH) (författare)
  • Cammarano, DavideJames Hutton Institute (författare)
  • Deligios, PaolaUniversity of Sassari (författare)
  • Destain, Marie FranceUniversity of Liège (författare)
  • Dumont, BenjaminUniversity of Liège (författare)
  • Ewert, FrankUniversity of Bonn,Leibniz-Zentrum fur Agrarlandschaftsforschung (ZALF) e. V. (författare)
  • Ferrise, RobertoUniversity of Florence (författare)
  • François, LouisUniversity of Liège (författare)
  • Gaiser, ThomasUniversity of Bonn (författare)
  • Hlavinka, PetrGlobal Change Research Centre of the Czech Academy of Sciences,Mendel University (författare)
  • Jacquemin, IngridUniversity of Liège (författare)
  • Kersebaum, Kurt ChristianLeibniz-Zentrum fur Agrarlandschaftsforschung (ZALF) e. V. (författare)
  • Kollas, ChrisLeibniz-Zentrum fur Agrarlandschaftsforschung (ZALF) e. V.,Potsdam Institute for Climate Impact Research (författare)
  • Krzyszczak, JaromirInstitute of Agrophysics, PAS (författare)
  • Lorite, Ignacio J.Andalusian Institute of Agricultural and Fisheries Research and Training (författare)
  • Minet, JulienUniversity of Liège (författare)
  • Minguez, M. InesTechnical University of Madrid (författare)
  • Montesino, ManuelUniversity of Copenhagen (författare)
  • Moriondo, MarcoCNR Istituto per le Tecnologie Applicate ai Beni Culturali (CNR-ITABC) (författare)
  • Müller, ChristophPotsdam Institute for Climate Impact Research (författare)
  • Nendel, ClaasLeibniz-Zentrum fur Agrarlandschaftsforschung (ZALF) e. V. (författare)
  • Öztürk, IsikAarhus University (författare)
  • Perego, AlessiaUniversity of Milan (författare)
  • Rodríguez, AlfredoTechnical University of Madrid (författare)
  • Ruane, Alex C.NASA Goddard Institute for Space Studies (författare)
  • Ruget, FrançoiseEnvironnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH) (författare)
  • Sanna, MattiaUniversity of Milan (författare)
  • Semenov, Mikhail A.Rothamsted Research (författare)
  • Slawinski, CezaryInstitute of Agrophysics, PAS (författare)
  • Stratonovitch, PierreRothamsted Research (författare)
  • Supit, IwanWageningen University (författare)
  • Waha, KatharinaCSIRO, Agriculture and Food,Potsdam Institute for Climate Impact Research (författare)
  • Wang, EnliCSIRO, Agriculture and Food (författare)
  • Wu, LianhaiRothamsted Research (författare)
  • Zhao, ZhiganChina Agricultural University,CSIRO, Agriculture and Food (författare)
  • Rötter, Reimund P.University of Göttingen (författare)
  • Finnish Environment InstituteUniversity of Florence (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Agricultural Systems: Elsevier BV159, s. 209-2240308-521X

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