Assessing Watershed-Wildfire Risks on National Forest System Lands in the Rocky Mountain Region of the United States
Open accessAbstract
Wildfires can cause significant negative impacts to water quality with resultant consequences for the environment and human health and safety, as well as incurring substantial rehabilitation and water treatment costs. In this paper we will illustrate how state-of-the-art wildfire simulation modeling and geospatial risk assessment methods can be brought to bear to identify and prioritize at-risk watersheds for risk mitigation treatments, in both pre-fire and post-fire planning contexts. Risk assessment results can be particularly useful for prioritizing management of hazardous fuels to lessen the severity and likely impacts of future wildfires, where budgetary and other constraints limit the amount of area that can be treated. Specifically we generate spatially resolved estimates of wildfire likelihood and intensity, and couple that information with spatial data on watershed location and watershed erosion potential to quantify watershed exposure and risk. For a case study location we focus on National Forest System lands in the Rocky Mountain Region of the United States. The Region houses numerous watersheds that are critically important to drinking water supplies and that have been impacted or threatened by large wildfires in recent years. Assessment results are the culmination of a broader multi-year science-management partnership intended to have direct bearing on wildfire management decision processes in the Region. Our results suggest substantial variation in the exposure of and likely effects to highly valued watersheds throughout the Region, which carry significant implications for prioritization. In particular we identified the San Juan National Forest as having the highest concentration of at-risk highly valued watersheds, as well as the greatest amount of risk that can be mitigated via hazardous fuel reduction treatments. To conclude we describe future opportunities and challenges for management of wildfire-watershed interactions.
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Global-scale studies or assessments of wildfire effects or risks on water resources are lacking.
“Although a significant number of studies have examined such second-order fire effects on surface freshwater resources [8], most have been conducted at a local or regional scale [8-12], whereas global-scale studies do not exist.”
From A Global Index for Mapping the Exposure of Water Resources to Wildfire (2016) · cites this paper as [12]
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- Authors
- Thompson, M., Scott, J., Langowski, P., Gilbertson-Day, J., Haas, J., & Bowne, E.
- Affiliations
- US Forest Service (US)
- Pyrologix, LLC, 520 Ford St, Missoula, MT 59801, USA
- Corresponding author
- Thompson, Matthew
- Venue
- Water
- Publisher
- MDPI AG
- Published
- 2013-07-02
- Volume
- 5
- Issue
- 3
- Pages
- 945-971
- ISSN
- 2073-4441 (ISSN-L)
- OpenAlex
- W1995417452
- Cited by
- 45
- References
- 48
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 7 · 2015: 3 · 2014: 5 · 2013: 1
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Water (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Rocky Mountain Research Station
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Keywords
- wildfire risk assessment, National Forest System lands, drinking water supply protection, San Juan National Forest, Rocky Mountain region
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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