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Using Soil Moisture Information to Better Understand and Predict Wildfire Danger: A Review of Recent Developments and Outstanding QuestionsSoil moisture conditions are represented in fire danger rating systems mainly through simple drought indices based on meteorological variables, even though better sources of soil moisture information are increasingly available. This review summarises a growing body of evidence indicating that greater use of in situ, remotely sensed, and modelled soil moisture information in fire danger rating systems could lead to better estimates of dynamic live and dead herbaceous fuel loads, more accurate live and dead fuel moisture predictions, earlier warning of wildfire danger, and better forecasts of wildfire occurrence and size. Potential uses of soil moisture information in existing wildfire danger rating systems include (1) as a supplement or replacement for drought indices, (2) for live and (3) dead fuel moisture modelling, (4) for estimating herbaceous fuel curing, and (5) for estimating fuel loads. We identify key remaining research questions and note the logistical challenge of convincing wildfire professionals of the importance of soil moisture compared with more familiar wildfire danger metrics. While obstacles remain, the path forward is clear. Soil moisture information can and should be used to improve fire danger rating systems and contribute to more effective fire management for the protection of communities and ecosystems worldwide.
Document ID
20230014040
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Erik S. Krueger
(Oklahoma State University Stillwater, United States)
Matthew R. Levi ORCID
(University of Georgia Athens, United States)
Kevin O. Achieng
(University of Georgia Athens, United States)
John D. Bolten
(Goddard Space Flight Center Greenbelt, United States)
J. D. Carlson
(Oklahoma State University Stillwater, United States)
Nicholas C. Coops
(University of British Columbia Vancouver, Canada)
Zachary A. Holden
(United States Forest Service)
Brian I. Magi ORCID
(University of North Carolina at Charlotte Charlotte, North Carolina, United States)
Angela J. Rigden
(University of California, Irvine Irvine, United States)
Tyson E. Ochsner
(Oklahoma State University Stillwater, United States)
Date Acquired
September 27, 2023
Publication Date
December 5, 2022
Publication Information
Publication: International Journal of Wildland Fire
Publisher: CSIRO Publishing
Volume: 32
Issue: 2
Issue Publication Date: February 22, 2023
ISSN: 1049-8001
e-ISSN: 1448-5516
Subject Category
Earth Resources and Remote Sensing
Environment Pollution
Funding Number(s)
WBS: 547714.04.13.02.25
CONTRACT_GRANT: G18AC00278
PROJECT: USDA OKL03123
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
fuel properties
in situ
modelling
remote sensing
review
soil moisture
wildfire
wildfire danger index
wildfire danger rating systems
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