IDEAS home Printed from
   My bibliography  Save this article

Is Landscape a Driver of Short-term Wildfire Recurrence?


  • Anna Barbati
  • Piermaria Corona
  • Enrico D'amato
  • Rosaria Cartisano


Repeated burning in a short return period (> 3-5 years) may significantly contribute to land degradation in Mediterranean countries. We apply logistic regression analysis to model spatial relationships between reburning and site (topographic) and landscape-level factors (land use pattern); forest areas burned twice at least between 2006 and 2009 in the Italian peninsula are used as a case study. Few landscape factors prove to be correlated with the probability of fire recurrence, and the overall logistic regression model explains 24% of the variation in the fire recurrence. This fact is not surprising since human factors are known to be the biggest determinant of wildfire events in Mediterranean countries such as Italy. Nonetheless, findings from this exploratory study prove to be qualitatively helpful to identify at least landscape drivers, easily quantifiable and available on a national scale, significantly affecting short-term fire recurrence (i.e. slope roughness, exposure, distance from the nearest water body, pre-fire dominant forest type).

Suggested Citation

  • Anna Barbati & Piermaria Corona & Enrico D'amato & Rosaria Cartisano, 2015. "Is Landscape a Driver of Short-term Wildfire Recurrence?," Landscape Research, Taylor & Francis Journals, vol. 40(1), pages 99-108, January.
  • Handle: RePEc:taf:clarxx:v:40:y:2015:i:1:p:99-108
    DOI: 10.1080/01426397.2012.761681

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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

    More about this item


    Access and download statistics


    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:40:y:2015:i:1:p:99-108. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.