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Crop modelling for integrated assessment of risk to food production from climate change.

  • F. Ewert
  • , R.P. Rotter
  • , M. Bindi
  • , H. Webber
  • , M. Trnka
  • , K.C. Kersebaum
  • , J.E. Olesen
  • , M.K. van Ittersum
  • , S. Janssen
  • , M. Rivington
  • , M.A. Semenov
  • , D. Wallach
  • , J.R. Porter
  • , D. Stewart
  • , J. Verhagen
  • , T. Gaiser
  • , T. Palosuo
  • , F. Tao
  • , C. Nendel
  • , P.P. Roggero
  • L. Bartosova, S. Asseng
  • University of Bonn
  • Agrifood Research
  • University of Florence
  • Mendel University in Brno
  • Leibniz Centre for Agricultural Landscape Research
  • Aarhus University
  • Wageningen University & Research
  • Rothamsted Research Institute
  • CNRS - Centre national de la recherche scientifique
  • University of Greenwich
  • University of Sassari
  • University of Florida

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Pages (from-to)287-303
JournalEnvironmental Modelling and Software
Volume72
DOIs
Publication statusPublished - 23 Oct 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Adaptation
  • Climate change
  • Crop models
  • Risk assessment
  • Scaling
  • Uncertainty

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