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The representation of greenery in the boundaries between the open landscape and residential areas in suburbanised rural settlements: development from the nineteenth to the twenty-first century

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A101624" target="_blank" >RIV/60460709:41330/24:101624 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s10668-023-03554-w" target="_blank" >https://doi.org/10.1007/s10668-023-03554-w</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10668-023-03554-w" target="_blank" >10.1007/s10668-023-03554-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The representation of greenery in the boundaries between the open landscape and residential areas in suburbanised rural settlements: development from the nineteenth to the twenty-first century

  • Original language description

    The rapid development of rural settlements into commuter towns in the hinterland of large cities, coupled with intensive agriculture and climate change, may negatively affect the prosperity of these areas. The presented analysis focused on randomly selected rapidly growing settlements in the Prague metropolitan area, examining their development with a focus on the peripheral parts of such settlements. Settlement margins constitute a specific part of rural settlements as it typically contributes to the rural character by providing the gradual gradient between the settlement and the open landscape. The representation of water-absorbing and non-water-absorbing areas and their suitability for the development of taller vegetation along the margins of three randomly selected suburbanised settlements in the hinterland of Prague are analysed from the perspective of the possibility to maintain the traditional character of the settlement margins. Historical maps, aerial photographs, spatial planning documents, and data on current land use and landscape cover were used for the analysis of the settlements' development over the last approx. 200 years. In order to determine whether an area is water absorbing or not, a manual approach was used for historical maps and a machine learning process for present orthophoto maps. The automated machine learning classification process could be utilised, because the used orthophoto imagery includes a near-infrared portion of the spectrum (i.e. NIR imagery). We have observed the trend of decreasing plot size and of reduction in the water-absorbing surfaces suitable for planting taller vegetation, especially in the twenty-first century residential developments, which disrupts the traditional rural character of these settlements. The utilisation and stabilisation of the current vegetation in the historical areas, together with the creation of the vegetation belts along the margins of the newly developed areas, could improve the environmental quality of these settlements, promote ecosystem services, and increase biodiversity.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

  • ISSN

    1387-585X

  • e-ISSN

    1387-585X

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    21

  • Pages from-to

    24473-244943

  • UT code for WoS article

    001023965700001

  • EID of the result in the Scopus database

    2-s2.0-85164116053