Literature DB >> 24705728

Modeling the landscape drivers of fire recurrence in Sardinia (Italy).

Carlo Ricotta1, Stefania Di Vito.   

Abstract

Although recurrent fire events with very short return periods have the most dangerous effects on landscape degradation, only a few papers have explored the landscape ecological factors that drive the probability of fire recurrence. In this paper we apply a habitat suitability model for analyzing the spatial relationship between a selected set of landscape factors (mainly land use types) and fire recurrence in Sardinia (Italy) in the years 2005-2010. Our results point out that fire occurrence in already burned areas is lower than expected in natural and semi-natural land cover types, like forest and shrublands. To the contrary, like in all regions where human activity is the main source of fire ignitions, the probability of fire recurrence is higher at low altitudes and close to roads and to urban and agricultural land cover types, thus showing marked preference for those landscape factors denoting higher anthropogenic ignition risk.

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Year:  2014        PMID: 24705728     DOI: 10.1007/s00267-014-0269-z

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  7 in total

1.  Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems.

Authors:  William J Bond; Jon E Keeley
Journal:  Trends Ecol Evol       Date:  2005-07       Impact factor: 17.712

2.  Wildfire seasonality and land use: when do wildfires prefer to burn?

Authors:  Sofia Bajocco; Gianni Boris Pezzatti; Stefano Mazzoleni; Carlo Ricotta
Journal:  Environ Monit Assess       Date:  2009-04-25       Impact factor: 2.513

3.  Spatial controls of occurrence and spread of wildfires in the Missouri Ozark Highlands.

Authors:  Jian Yang; Hong S He; Stephen R Shifley
Journal:  Ecol Appl       Date:  2008-07       Impact factor: 4.657

4.  Mapping wildland-urban interfaces at large scales integrating housing density and vegetation aggregation for fire prevention in the South of France.

Authors:  Corinne Lampin-Maillet; Marielle Jappiot; Marlène Long; Christophe Bouillon; Denis Morge; Jean-Paul Ferrier
Journal:  J Environ Manage       Date:  2009-10-30       Impact factor: 6.789

Review 5.  Landscape--wildfire interactions in southern Europe: implications for landscape management.

Authors:  Francisco Moreira; Olga Viedma; Margarita Arianoutsou; Thomas Curt; Nikos Koutsias; Eric Rigolot; Anna Barbati; Piermaria Corona; Pedro Vaz; Gavriil Xanthopoulos; Florent Mouillot; Ertugrul Bilgili
Journal:  J Environ Manage       Date:  2011-07-08       Impact factor: 6.789

6.  Human-caused wildfire risk rating for prevention planning in Spain.

Authors:  Jesús Martínez; Cristina Vega-Garcia; Emilio Chuvieco
Journal:  J Environ Manage       Date:  2008-08-23       Impact factor: 6.789

7.  Analysis of postfire vegetation dynamics of Mediterranean shrub species based on terrestrial and NDVI data.

Authors:  Rocío Hernández-Clemente; R M Navarro Cerrillo; J E Hernández-Bermejo; S Escuin Royo; N A Kasimis
Journal:  Environ Manage       Date:  2009-02-05       Impact factor: 3.266

  7 in total
  3 in total

1.  A multivariate approach for mapping fire ignition risk: the example of the National Park of Cilento (southern Italy).

Authors:  Daniela Guglietta; Antonello Migliozzi; Carlo Ricotta
Journal:  Environ Manage       Date:  2015-04-10       Impact factor: 3.266

2.  The Human and Physical Determinants of Wildfires and Burnt Areas in Israel.

Authors:  Noam Levin; Naama Tessler; Andrew Smith; Clive McAlpine
Journal:  Environ Manage       Date:  2016-05-31       Impact factor: 3.266

3.  Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe.

Authors:  Roberto Cilli; Mario Elia; Marina D'Este; Vincenzo Giannico; Nicola Amoroso; Angela Lombardi; Ester Pantaleo; Alfonso Monaco; Giovanni Sanesi; Sabina Tangaro; Roberto Bellotti; Raffaele Lafortezza
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

  3 in total

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