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Identifying HNV areas using geographic information systems and landscape metrics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A75582" target="_blank" >RIV/60460709:41330/17:75582 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-50284-7_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-50284-7_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-50284-7_3" target="_blank" >10.1007/978-3-319-50284-7_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identifying HNV areas using geographic information systems and landscape metrics

  • Original language description

    This chapter describes some spatial tools suitable to map and identify High Nature Value (HNV) farmlands, applying geographical information systems (GIS). It provides a list and definitions of some of the most adequate landscape metrics that can be used to identify HNV areas from maps, as well as the main issues that operators can find when handling GIS.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10619 - Biodiversity conservation

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

  • Book/collection name

    Birds as Useful Indicators of High Nature Value Farmlands: Using Species Distribution Models as a Tool for Monitoring the Health of Agro-ecosystems

  • ISBN

    9783319502847

  • Number of pages of the result

    15

  • Pages from-to

    37-51

  • Number of pages of the book

    120

  • Publisher name

    Springer

  • Place of publication

  • UT code for WoS chapter