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Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F15%3A43908123" target="_blank" >RIV/62156489:43210/15:43908123 - isvavai.cz</a>

  • Alternative codes found

    RIV/86652079:_____/15:00473362

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s10584-014-1164-6" target="_blank" >http://dx.doi.org/10.1007/s10584-014-1164-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10584-014-1164-6" target="_blank" >10.1007/s10584-014-1164-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation

  • Original language description

    Studies of climate change impacts on agricultural land use generally consider sets of climates combined with fixed socio-economic scenarios, making it impossible to compare the impact of specific factors within these scenario sets. This study produces and combines metamodels of crop and forest yields and farm profit, derived from previously developed very complex models, to enable prediction of European land use under any set of climate and socio-economic data. Land use is predicted based on the profitability of the alternatives on every soil within every 10' grid across the EU. A clustering procedure reduces 23,871 grids with 20+ soils per grid to 6,714 clusters of common soil and climate. Combined these reduce runtime 100 thousand-fold. Profit thresholds define land as intensive agriculture (arable or grassland), extensive agriculture or managed forest, or finally unmanaged forest or abandoned land. The demand for food as a function of population, imports, food preferences and bioene

  • 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

    Climatic Change

  • ISSN

    0165-0009

  • e-ISSN

  • Volume of the periodical

    128

  • Issue of the periodical within the volume

    3-4

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    215-227

  • UT code for WoS article

    000348802400005

  • EID of the result in the Scopus database