File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A streamlined approach for the spatial allocation of fuel removals in wildland–urban interfaces

TitleA streamlined approach for the spatial allocation of fuel removals in wildland–urban interfaces
Authors
KeywordsFuel treatment
Wildland–urban interface (WUI)
Mediterranean landscape
Kernel density
Coupled Natural and Human Systems (CNHS)
Issue Date2014
Citation
Landscape Ecology, 2014, v. 29, n. 10, p. 1771-1784 How to Cite?
Abstract© 2014, Springer Science+Business Media Dordrecht. Major concerns are arising on the expansion of wildland–urban interfaces defined as zones where infrastructures and other man-made systems interact with undeveloped areas. Wildland–urban interfaces create an environment in which fire can easily spread from forest fuels to human settlements. In this context, there is a need to prevent fire spread by determining the sound allocation of fuel treatment (fuel removal). To this end, the Spatial Allocation Index was developed as a streamlined approach to determine where and what type of forest areas may be eligible for fuel removal in terms of fire suppression. This approach was developed as a case study example using forest landscapes located in the province of Taranto (Apulia region) in southern Italy. By using geostatistical techniques, we scaled up 210 data points of plot-level fuel load and developed maps for different forest types. These spatial predictions were combined with other landscape-level variables such as population density, urban density, and road density. Through our modelling approach we were able to determine the fuel model types and spatial allocations of wildland areas that are likely to be treated by fuel removal. Our results suggest that the predominant forest typology requiring treatment in the study area is the Mediterranean maquis (shrub-land), which covers 44 % of the wildland–urban interface landscape. The areas on the map where the Spatial Allocation Index reaches its maximum value are those with the highest priority in terms of fuel removal; i.e., the highest number of people, houses, and roads benefitting from wildfire suppression. By adopting this streamlined approach, forest managers and decision makers may avail of a fast and effective tool to improve efforts in landscape management and budgeting of financial resources.
Persistent Identifierhttp://hdl.handle.net/10722/250883
ISSN
2019 Impact Factor: 3.385
2015 SCImago Journal Rankings: 1.794
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorElia, Mario-
dc.contributor.authorLafortezza, Raffaele-
dc.contributor.authorColangelo, Giuseppe-
dc.contributor.authorSanesi, Giovanni-
dc.date.accessioned2018-02-01T01:53:59Z-
dc.date.available2018-02-01T01:53:59Z-
dc.date.issued2014-
dc.identifier.citationLandscape Ecology, 2014, v. 29, n. 10, p. 1771-1784-
dc.identifier.issn0921-2973-
dc.identifier.urihttp://hdl.handle.net/10722/250883-
dc.description.abstract© 2014, Springer Science+Business Media Dordrecht. Major concerns are arising on the expansion of wildland–urban interfaces defined as zones where infrastructures and other man-made systems interact with undeveloped areas. Wildland–urban interfaces create an environment in which fire can easily spread from forest fuels to human settlements. In this context, there is a need to prevent fire spread by determining the sound allocation of fuel treatment (fuel removal). To this end, the Spatial Allocation Index was developed as a streamlined approach to determine where and what type of forest areas may be eligible for fuel removal in terms of fire suppression. This approach was developed as a case study example using forest landscapes located in the province of Taranto (Apulia region) in southern Italy. By using geostatistical techniques, we scaled up 210 data points of plot-level fuel load and developed maps for different forest types. These spatial predictions were combined with other landscape-level variables such as population density, urban density, and road density. Through our modelling approach we were able to determine the fuel model types and spatial allocations of wildland areas that are likely to be treated by fuel removal. Our results suggest that the predominant forest typology requiring treatment in the study area is the Mediterranean maquis (shrub-land), which covers 44 % of the wildland–urban interface landscape. The areas on the map where the Spatial Allocation Index reaches its maximum value are those with the highest priority in terms of fuel removal; i.e., the highest number of people, houses, and roads benefitting from wildfire suppression. By adopting this streamlined approach, forest managers and decision makers may avail of a fast and effective tool to improve efforts in landscape management and budgeting of financial resources.-
dc.languageeng-
dc.relation.ispartofLandscape Ecology-
dc.subjectFuel treatment-
dc.subjectWildland–urban interface (WUI)-
dc.subjectMediterranean landscape-
dc.subjectKernel density-
dc.subjectCoupled Natural and Human Systems (CNHS)-
dc.titleA streamlined approach for the spatial allocation of fuel removals in wildland–urban interfaces-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10980-014-0070-7-
dc.identifier.scopuseid_2-s2.0-84914682668-
dc.identifier.volume29-
dc.identifier.issue10-
dc.identifier.spage1771-
dc.identifier.epage1784-
dc.identifier.eissn1572-9761-
dc.identifier.isiWOS:000346920900011-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats