Post-fire hydrologic analysis: a tale of two severities
Fallon, Kendra, Wheelock, Shawn J., Sadegh, Mojtaba., Pierce, Jennifer L., McNamara, James P., Cattau, Megan and Baker, Victor R., (2024). Post-fire hydrologic analysis: a tale of two severities. Hydrological Sciences Journal, 69(1), 139-148
Document type:
Article
Collection:
-
Sub-type Journal article Author Fallon, Kendra
Wheelock, Shawn J.
Sadegh, Mojtaba.
Pierce, Jennifer L.
McNamara, James P.
Cattau, Megan
Baker, Victor R.Title Post-fire hydrologic analysis: a tale of two severities Appearing in Hydrological Sciences Journal Volume 69 Issue No. 1 Publication Date 2024-01-02 Place of Publication London Publisher Taylor & Francis Start page 139 End page 148 Language eng Abstract Addressing post-fire impacts largely depends on burn “severity.” A singular severity classification that encompasses the holistic effects of fire on all ecosystem processes does not currently exist. Lumping vegetation burn severity and soil burn severity into one metric, or using them interchangeably, can induce large inaccuracies and uncertainties in the intended ecosystem response to forcing. Often, burn “severity” reflects fire impacts on vegetation, which can be measured through remote sensing. Vegetation burn severity is likely more apropos for ecological research, whereas soil burn severity is more relevant for hydrological analyses. This paper reviews different remotely sensed vegetation severity products currently (mis)used for hydrological modeling, provides examples of when vegetation burn severity may (not) match soil burn severity, and summarizes the potential synergistic future of remote sensing with in situ severity metrics. While the focus in this paper is on the western United States, the lessons and principles apply universally. Keyword Burn severity
Remote sensing
Wildfire
Hydrologic modeling
Erosion
BAERCopyright Holder Informa UK Limited Copyright Year 2024 Copyright type All rights reserved DOI https://doi.org/10.1080/02626667.2023.2284306 -
Citation counts Search Google Scholar Access Statistics: 32 Abstract Views - Detailed Statistics Created: Thu, 24 Oct 2024, 02:26:18 JST by Haideh Beigi on behalf of UNU INWEH