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Agricultural land fund in motion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3AN0000075" target="_blank" >RIV/60460709:41110/17:N0000075 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Agricultural land fund in motion

  • Original language description

    The aim of the paper is construction of the model for development prediction of the extent and structure of agricultural land fund in the CR. Using the advanced statistical methods from the time series analysis adaptive approaches domain, long-term tendencies of farmland fund structure development have been described over the 1999-2015 years, as considered in the context of historical data from 1920-2015, and future development forecasts have been constructed. Two exponential smoothing methods have been applied in the forecasts for non-seasonal time series with local linear trend (the Holt method) and the double exponential smoothing (the Brown method). The solution starts from identification and analysis of relevant factors causing reduction of area and degradation of farmland, especially the loss of arable land. Primarily these are: area development, changes in the forest land area, water and wind erosion, soil compaction, acidification, dehumification and soil contamination. In most cases the degradation process causes a chain reaction and the degradation factors follow each other. Considering the 80% self-sufficiency in the basic foodstuffs production it is necessary to preserve the soil production capabilities not only by its protection but by the economically tolerable structure, too. Position of the Czech Republic as concerns the farmland fund development has been compared with selected EU Countries regarding the farmland fund structure and the per capita arable land area.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Agrarian perspectives XXVI. - Competitiveness of European agriculture and food sectors

  • ISBN

    978-80-213-2787-0

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    299-305

  • Publisher name

    Faculty of Economics and Management, Czech University of Life Sciences Prague

  • Place of publication

    Czech University of Life Sciences Prague

  • Event location

    Prague, Czech Republic

  • Event date

    Sep 13, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article