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Remote Sensing and Modeling Applications to Wildland Fires pp 281–291Cite as

The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts of Wildland Fire on Eastern Landscapes

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Abstract

Public concerns regarding wildland fire management in the Eastern United States reflect myriad issues including the costs of fire suppression, landscape rehabilitation under pre- and post-fire conditions, structural damage and loss, health and cultural effects of smoke emissions, effects of insect and disease in association with fire, impacts of fire on aesthetic values, and risk of fire to human life. Because of the complexity of natural resource problems, managers can benefit from an integrated approach to landscape level management using both technologies, such as modeling and satellite imagery, with expert knowledge to better address these concerns. The ability to display the science of landscape change and the influences of natural processes such as fire, insects, and disease as well as prescribed treatments over time can help managers, decisions makers and the public to address complex issues from multiple scales and perspectives. A framework is presented pairing the modeling system SIMPPLLE (SIMulating vegetation Patterns and Processes at Landscape scaLEs), with basic concepts of sustainable forest management for a method to address complex issues in natural resources.

Keywords

  • Fire
  • complex issues
  • integrated modeling
  • expert knowledge
  • criterion 7
  • Montreal Process
  • SIMPPLLE

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Author information

Authors and Affiliations

  1. Missoula Forestry Science Lab, Rocky Mountain Research Station, 800 East Beckwith, Missoula, MT, 59801, USA

    Christine M. Stalling

Authors
  1. Christine M. Stalling
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Editor information

Editors and Affiliations

  1. Environmental Science and Technology Center, Department of Geography and Geoinformation Science, College of Science, George Mason University, 4400 University Drive, Fairfax, VA, 22030, USA

    Prof. John J. Qu & Dr. William T. Sommers & 

  2. Department of Geography and Geoinformation Science, College of Science, George Mason University, MS 6C3, 4400 University Drive, Fairfax, VA, 22030, USA

    Prof. Ruixin Yang

  3. Nine Points South Technical Pty, Ltd., P.O.Box 2419, Clarkson, Western Australia, 6030, Australia

    Dr. Allen R. Riebau

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© 2013 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg

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Stalling, C.M. (2013). The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts of Wildland Fire on Eastern Landscapes. In: Qu, J.J., Sommers, W.T., Yang, R., Riebau, A.R. (eds) Remote Sensing and Modeling Applications to Wildland Fires. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32530-4_19

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