Abstract
Abstract
Background
Six synchronous, wind-driven, high severity megafires burned over 300,000 hectares of mesic temperate forest in the western Cascades of NW Oregon and SW Washington states in early September 2020. While remote sensing data has been utilized to estimate fire severity across the fires, assessments of fire impacts informed by field observations are missing. We compiled field measurement data, pre- and post-fire, from a statistically representative sample of existing forest inventory analysis (FIA) plots, to estimate stand-level fire effects indices that describe (1) tree survival and its implications for carbon emissions, (2) effects on tree crowns, and (3) effects on soils. Field observations were analyzed in relation to fire weather when plots burned and to evaluate accuracy of remotely sensed burn severity classifications.
Results
Wind speed strongly interacted with tree size and stand age to influence tree survival. Under high fuel aridity but light winds, young stands composed of small trees, found primarily on private lands, exhibited a much lower survival rate than older stands composed of medium to large trees, found primarily on federal lands. Under moderate to high winds, poor tree survival was characteristic of all forest structures and ownerships. Fire impacts on tree crowns were strongly related to wind speed, while fire impacts on soils were not. These fires transferred nearly 70 MMT CO2e from wood in live and growing trees to a combination of immediate smoke and carbon emissions, plus delayed emissions from dead wood, that will release most of the embodied carbon over the next few decades. These emissions will exceed all 2020 anthropogenic emissions in Oregon (64 MMT CO2e). Substantial discrepancies were observed between two remotely sensed burn severity products, BAER-SBS and MTBS-TC, and field observed soil organic matter cover and tree mortality, respectively.
Conclusions
Post-fire FIA plot remeasurements are valuable for understanding fire’s impact on forest ecosystems and as an empirical basis for model validation and hypothesis testing. This continuous forest inventory system will compound the value of these post-fire remeasurements, enabling analysis of post-fire forest ecosystem trajectories in relation to both immediate fire impacts and pre-fire conditions.
Publisher
Springer Science and Business Media LLC
Subject
Environmental Science (miscellaneous),Ecology, Evolution, Behavior and Systematics,Forestry
Reference42 articles.
1. Abatzoglou, J. T., D. E. Rupp, L. W. O’Neill, and M. Sadegh. 2021. Compound Extremes Drive the Western Oregon Wildfires of September 2020. Geophysical Research Letters 48(e2021GL092520):1–9.
2. Agee, J.K. 1993. Fire Ecology of Pacific Northwest Forests. Washington D.C: Island Press.
3. Agee, J. K. 1996. The Influence of Forest Structure on Fire Behavior. In Proceedings of the 17th Forest Vegetation Management Conference, 52–68. Redding, CA https://www.fs.usda.gov/rm/pubs/rmrs_gtr292/1996_agee.pdf.
4. Agee, J.. K.. 1997. The severe weather wildfire-Too hot to handle? Northwest Science 71 (1): 5.
5. Barker, J.S., J.S. Fried, and A.N. Gray. 2019. Evaluating model predictions of fire induced tree mortality using wildfire-affected forest inventory measurements. Forests 10 (11): 958.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献