Digital forestry in the wildland-urban interface

  • Authors: Wimberly, Michael C.; Zhang, Yangjian; Stanturf, John A.
  • Publication Year: 2006
  • Publication Series: Scientific Journal (JRNL)
  • Source: Computer Applications in Sustainable Forest Management: Including perspectives on Collaboration and integration: 201-222

Abstract

Growing human populations have led to the expansion of the Wildland-Urban Interface (WUI) across the southeastern United States. The juxtaposition of buildings, infrastructure. and forests in the WUI creates challenges for natural resource managers. The presence of flammable vegetation. high rates of human-caused ignitions and high building densities combine to increase risks of catastrophic loss from wildfire in the WUI. At the same time, fragmentation of large ownerships into smaller parcels and changing demographics may limit the possibilities for managing fuels with prescribed fire. To make effective decisions in this environment. land managers will need to integrate a large volume of information characterizing the physical features. biological characteristics, and human dimensions of these landscapes. Remote sensing and Geographic information Systems (GIs) technologies are crucial in this regard, but they must also be integrated with field surveys, fire behavior models, and decision-support tools to carry out risk assessments and develop management plans for the WUI. This chapter outlines the types of geospatial datasets that are currently available to map fuels and fire risk, provides examples of how GIs has been applied in the WUI, and suggests future directions for the integration of GIs datasets and spatial models to support forest management in the WUI.

  • Citation: Wimberly, Michael C.; Zhang, Yangjian; Stanturf, John A. 2006. Digital forestry in the wildland-urban interface. Computer Applications in Sustainable Forest Management: Including perspectives on Collaboration and integration: 201-222
  • Keywords: Wildland-urban interface (WUI), geographic information systems (GIS), spatial modeling, wildfire risk, fuel reduction, prescribed fire
  • Posted Date: January 12, 2007
  • Modified Date: January 13, 2007
  • Print Publications Are No Longer Available

    In an ongoing effort to be fiscally responsible, the Southern Research Station (SRS) will no longer produce and distribute hard copies of our publications. Many SRS publications are available at cost via the Government Printing Office (GPO). Electronic versions of publications may be downloaded, printed, and distributed.

    Publication Notes

    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
    • Our online publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS webmaster if you notice any errors which make this publication unusable.
    • To view this article, download the latest version of Adobe Acrobat Reader.