File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Developing Custom Fire Behavior Fuel Models for Mediterranean Wildland–Urban Interfaces in Southern Italy

TitleDeveloping Custom Fire Behavior Fuel Models for Mediterranean Wildland–Urban Interfaces in Southern Italy
Authors
KeywordsWildland fire
Wildland–urban interface
Cluster analysis
Fire management
Fuel model
Mediterranean basin
Issue Date2015
Citation
Environmental Management, 2015, v. 56, n. 3, p. 754-764 How to Cite?
Abstract© 2015, Springer Science+Business Media New York. The dramatic increase of fire hazard in wildland–urban interfaces (WUIs) has required more detailed fuel management programs to preserve ecosystem functions and human settlements. Designing effective fuel treatment strategies allows to achieve goals such as resilient landscapes, fire-adapted communities, and ecosystem response. Therefore, obtaining background information on forest fuel parameters and fuel accumulation patterns has become an important first step in planning fuel management interventions. Site-specific fuel inventory data enhance the accuracy of fuel management planning and help forest managers in fuel management decision-making. We have customized four fuel models for WUIs in southern Italy, starting from forest classes of land-cover use and adopting a hierarchical clustering approach. Furthermore, we provide a prediction of the potential fire behavior of our customized fuel models using FlamMap 5 under different weather conditions. The results suggest that fuel model IIIP (Mediterranean maquis) has the most severe fire potential for the 95th percentile weather conditions and the least severe potential fire behavior for the 85th percentile weather conditions. This study shows that it is possible to create customized fuel models directly from fuel inventory data. This achievement has broad implications for land managers, particularly forest managers of the Mediterranean landscape, an ecosystem that is susceptible not only to wildfires but also to the increasing human population and man-made infrastructures.
Persistent Identifierhttp://hdl.handle.net/10722/251118
ISSN
2023 Impact Factor: 2.7
2023 SCImago Journal Rankings: 0.827
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorElia, Mario-
dc.contributor.authorLafortezza, Raffaele-
dc.contributor.authorLovreglio, Raffaella-
dc.contributor.authorSanesi, Giovanni-
dc.date.accessioned2018-02-01T01:54:38Z-
dc.date.available2018-02-01T01:54:38Z-
dc.date.issued2015-
dc.identifier.citationEnvironmental Management, 2015, v. 56, n. 3, p. 754-764-
dc.identifier.issn0364-152X-
dc.identifier.urihttp://hdl.handle.net/10722/251118-
dc.description.abstract© 2015, Springer Science+Business Media New York. The dramatic increase of fire hazard in wildland–urban interfaces (WUIs) has required more detailed fuel management programs to preserve ecosystem functions and human settlements. Designing effective fuel treatment strategies allows to achieve goals such as resilient landscapes, fire-adapted communities, and ecosystem response. Therefore, obtaining background information on forest fuel parameters and fuel accumulation patterns has become an important first step in planning fuel management interventions. Site-specific fuel inventory data enhance the accuracy of fuel management planning and help forest managers in fuel management decision-making. We have customized four fuel models for WUIs in southern Italy, starting from forest classes of land-cover use and adopting a hierarchical clustering approach. Furthermore, we provide a prediction of the potential fire behavior of our customized fuel models using FlamMap 5 under different weather conditions. The results suggest that fuel model IIIP (Mediterranean maquis) has the most severe fire potential for the 95th percentile weather conditions and the least severe potential fire behavior for the 85th percentile weather conditions. This study shows that it is possible to create customized fuel models directly from fuel inventory data. This achievement has broad implications for land managers, particularly forest managers of the Mediterranean landscape, an ecosystem that is susceptible not only to wildfires but also to the increasing human population and man-made infrastructures.-
dc.languageeng-
dc.relation.ispartofEnvironmental Management-
dc.subjectWildland fire-
dc.subjectWildland–urban interface-
dc.subjectCluster analysis-
dc.subjectFire management-
dc.subjectFuel model-
dc.subjectMediterranean basin-
dc.titleDeveloping Custom Fire Behavior Fuel Models for Mediterranean Wildland–Urban Interfaces in Southern Italy-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00267-015-0531-z-
dc.identifier.pmid25962800-
dc.identifier.scopuseid_2-s2.0-84938739296-
dc.identifier.volume56-
dc.identifier.issue3-
dc.identifier.spage754-
dc.identifier.epage764-
dc.identifier.eissn1432-1009-
dc.identifier.isiWOS:000359161900015-
dc.identifier.issnl0364-152X-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats