IDEAS home Printed from https://ideas.repec.org/a/taf/tjomxx/v16y2020i2p357-362.html
   My bibliography  Save this article

Land capability classification of Vernazza catchment, Cinque Terre National Park, Italy

Author

Listed:
  • C. Scopesi
  • S. Olivari
  • M. Firpo
  • P. Scarpellini
  • S. Pini
  • I. Rellini

Abstract

Land capability classification is based on chemical and physical properties of soils for agricultural purposes. Objective of this study is the realization of the land capability map in the Vernazza catchment, an historically terraced landscape in the Cinque Terre National Park, recognized as a World Heritage site by UNESCO since 1997. A pedolandscape map with a descriptive legend, based on the soil-landscape paradigm for the prediction of soil classes and their spatial distribution, was produced. After, a land capability map was created by classifying the pedolandscape units to aid the sustainable territorial planning in the National Park. The results were plotted on a 1:4000 scale map with a descriptive legend. Land capability map is dominated by lands with severe limitation and only the 30% of the study area may be used for crops but it requires very careful management and conservation practice.

Suggested Citation

  • C. Scopesi & S. Olivari & M. Firpo & P. Scarpellini & S. Pini & I. Rellini, 2020. "Land capability classification of Vernazza catchment, Cinque Terre National Park, Italy," Journal of Maps, Taylor & Francis Journals, vol. 16(2), pages 357-362, December.
  • Handle: RePEc:taf:tjomxx:v:16:y:2020:i:2:p:357-362
    DOI: 10.1080/17445647.2020.1750067
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17445647.2020.1750067
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17445647.2020.1750067?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. Giacomo Pepe & Elena Baudinelli & Matteo Zanini & Domenico Calcaterra & Andrea Cevasco & Patrizio Scarpellini & Marco Firpo, 2020. "Application of Bioengineering Techniques as Geo-Hydrological Risk Mitigation Measures in a Highly Valuable Cultural Landscape: Experiences from the Cinque Terre National Park (Italy)," Sustainability, MDPI, vol. 12(20), pages 1-22, October.

    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:tjomxx:v:16:y:2020:i:2:p:357-362. 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/tjom20 .

    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.