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'Fingerprints' of four crop models as affected by soil input data aggregation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F14%3A00230502" target="_blank" >RIV/62156489:43210/14:00230502 - isvavai.cz</a>

  • Alternative codes found

    RIV/67179843:_____/14:00433077

  • Result on the web

    <a href="http://www.sciencedirect.com/science/article/pii/S1161030114000914" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1161030114000914</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.eja.2014.07.005" target="_blank" >10.1016/j.eja.2014.07.005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    'Fingerprints' of four crop models as affected by soil input data aggregation

  • Original language description

    The spatial variability of soil properties is an important driver of yield variability at both field and regional scale. Thus, when using crop growth simulation models, the choice of spatial resolution of soil input data might be key in order to accurately reproduce observed yield variability. In this study we used four crop models (SIMPLACE<LINTUL-SLIM>, DSSAT-CSM, EPIC and DAISY) differing in the detail of modeling above-ground biomass and yield as well as of modeling soil water dynamics, water uptakeand drought effects on plants to simulate winter wheat in two (agro-climatologically and geo-morphologically) contrasting regions of the federal state of North-Rhine-Westphalia (Germany) for the period from 1995 to 2008. Three spatial resolutions of soil input data were taken into consideration, corresponding to the following map scales: 1:50 000, 1:300 000 and 1:1 000 000. The four crop models were run for water-limited production conditions and model results were evaluated in the form

  • 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

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    European Journal of Agronomy

  • ISSN

    1161-0301

  • e-ISSN

  • Volume of the periodical

    61

  • Issue of the periodical within the volume

    November 2014

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    35-48

  • UT code for WoS article

    344206100004

  • EID of the result in the Scopus database