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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F15%3A00455849" target="_blank" >RIV/67179843:_____/15:00455849 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43210/15:43907865

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.envsoft.2014.12.003" target="_blank" >http://dx.doi.org/10.1016/j.envsoft.2014.12.003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.envsoft.2014.12.003" target="_blank" >10.1016/j.envsoft.2014.12.003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    The complexity of risks posed by climate change and possible adaptations for crop production has called for integrated assessment and modelling (IAM) approaches linking biophysical and economic models. This paper attempts to provide an overview of the present state of crop modelling to assess climate change risks to food production and to which extent crop models comply with IAM demands. Considerable progress has been made in modelling effects of climate variables, where crop models best satisfy IAM demands. Demands are partly satisfied for simulating commonly required assessment variables. However, progress on the number of simulated crops, uncertainty propagation related to model parameters and structure, adaptations and scaling are less advanced and lagging behind IAM demands. The limitations are considered substantial and apply to a different extent to all crop models. Overcoming these limitations will require joint efforts, and consideration of novel modelling approaches. (C) 2014 Elsevier Ltd. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DG - Atmospheric sciences, meteorology

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental Modelling & Software

  • ISSN

    1364-8152

  • e-ISSN

  • Volume of the periodical

    72

  • Issue of the periodical within the volume

    oct

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    17

  • Pages from-to

    287-303

  • UT code for WoS article

    000361906400026

  • EID of the result in the Scopus database

    2-s2.0-84949977679