IDEAS home Printed from https://ideas.repec.org/a/taf/clarxx/v43y2018i6p831-845.html
   My bibliography  Save this article

Applicability of European landscape typology in Turkey (Çakırlar Watershed case/Antalya)

Author

Listed:
  • Cumhur Güngöroğlu
  • Ali Kavgacı
  • Ufuk Coşgun
  • Mehmet Çalıkoğlu
  • Erdal Örtel
  • Neslihan Balpınar

Abstract

The aim of this study is to put forward Turkey as a case study of the applicability of the European approach to landscape characterisation studies at the local scale within the context of the European Landscape Convention. For this purpose, a classification of landscape types with the help of LANMAP typology is suggested at the European scale in a basin in Turkey where there are obvious differences in terms of landscape characteristics. In particular, this study examines the usability of a countrywide thematic database when making this classification. It is understood that a mapping system as well as a common nomenclature of types of land covered at the country scale is insufficient for the suggested methodology for Europe. Later, results of the continuation of a classification system at the local scale for landscape characterisation are discussed, and some deficiencies of LANMAP when characterising the landscapes at this scale are mentioned.

Suggested Citation

  • Cumhur Güngöroğlu & Ali Kavgacı & Ufuk Coşgun & Mehmet Çalıkoğlu & Erdal Örtel & Neslihan Balpınar, 2018. "Applicability of European landscape typology in Turkey (Çakırlar Watershed case/Antalya)," Landscape Research, Taylor & Francis Journals, vol. 43(6), pages 831-845, August.
  • Handle: RePEc:taf:clarxx:v:43:y:2018:i:6:p:831-845
    DOI: 10.1080/01426397.2017.1386776
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01426397.2017.1386776
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01426397.2017.1386776?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yulian Pan & Yunong Wu & Xi Xu & Bin Zhang & Weifu Li, 2022. "Identifying Terrestrial Landscape Character Types in China," Land, MDPI, vol. 11(7), pages 1-19, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:clarxx:v:43:y:2018:i:6:p:831-845. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/clar20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.