The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Severe fire weather and intensive forest management increase fire severity in a multi‐ownership landscape
Abstract
Many studies have examined how fuels, topography, climate, and fire weather influence fire severity. Less is known about how different forest management practices influence fire severity in multi‐owner landscapes, despite costly and controversial suppression of wildfires that do not acknowledge ownership boundaries. In 2013, the Douglas Complex burned over 19,000 ha of Oregon & California Railroad (O&C) lands in Southwestern Oregon,USA. O&C lands are composed of a checkerboard of private industrial and federal forestland (Bureau of Land Management,BLM) with contrasting management objectives, providing a unique experimental landscape to understand how different management practices influence wildfire severity. Leveraging Landsat based estimates of fire severity (Relative differenced Normalized Burn Ratio, Rd NBR) and geospatial data on fire progression, weather, topography, pre‐fire forest conditions, and land ownership, we asked (1) what is the relative importance of different variables driving fire severity, and (2) is intensive plantation forestry associated with higher fire severity? Using Random Forest ensemble machine learning, we found daily fire weather was the most important predictor of fire severity, followed by stand age and ownership, followed by topographic features. Estimates of pre‐fire forest biomass were not an important predictor of fire severity. Adjusting for all other predictor variables in a general least squares model incorporating spatial autocorrelation, mean predicted Rd NBR was higher on private industrial forests (Rd NBR 521.85 ± 18.67 [mean ±SE]) vs.BLM forests (398.87 ± 18.23) with a much greater proportion of older forests. Our findings suggest intensive plantation forestry characterized by young forests and spatially homogenized fuels, rather than pre‐fire biomass, were significant drivers of wildfire severity. This has implications for perceptions of wildfire risk, shared fire management responsibilities, and developing fire resilience for multiple objectives in multi‐owner landscapes.
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Variable selection using random forests
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A mathematical model for predicting fire spread in wildland fuels
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“…management and fire exclusion (Weaver 1943, Hessburg et al. 2005, Ful e et al. 2009, Naficy et al. 2010, Merschel et al. 2014), an increasingly populated wildland urban interface (Haas et al. 2013), and a rapidly changing climate (Westerling and Bryant 2008, Littell et al. 2009, Jolly et al. 2015).”
BackgroundNorth, M. P., Stephens, S. L., Collins, B. M., Agee, J. K., Aplet, G., Franklin, J. F., & Fulé, P. Z. (2015) · Science · doi:10.1126/science.aab2356 · Cited by 484
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The Effects of Forest Fuel-Reduction Treatments in the United States
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“…mechanical thinning and prescribed burning have been the dominant land management response for mitigating these conditions (Agee and Skinner 2005, Stephens et al. 2012), although there is an increasing recognition of the need to manage wildfires more holistically to meet social and ecological…”
BackgroundThe fire frequency‐severity relationship and the legacy of fire suppression in California forests
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Negative consequences of positive feedbacks in US wildfire management
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Examining fire-prone forest landscapes as coupled human and natural systems
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Novel characterization of landscape-level variability in historical vegetation structure
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Cited by
Adapting western North American forests to climate change and wildfires: 10 common questions
Prichard, S. J., Hessburg, P. F., Hagmann, R. K., Povak, N. A., Dobrowski, S. Z., Hurteau, M. D., Kane, V. R., Keane, R. E., Kobziar, L. N., Kolden, C. A., et al. (2021) · Ecological Applications · doi:10.1002/eap.2433 · Cited by 336
Spatial and temporal assessment of responder exposure to snag hazards in post-fire environments
Dunn, C. J., O'Connor, C. D., Reilly, M. J., Calkin, D. E., & Thompson, M. P. (2019) · Forest Ecology and Management · doi:10.1016/j.foreco.2019.03.035 · Cited by 48
Self-citation
Metadata
- Authors
- Zald, H. S. J., & Dunn, C. J.
- Venue
- Ecological Applications
- Publisher
- Wiley
- Published
- 2018-04-26
- Volume
- 28
- Issue
- 4
- Pages
- 1068-1080
- ISSN
- 1051-0761 (ISSN-L)
- 1939-5582
- OpenAlex
- W2800066382
- Cited by
- 181
- References
- 14
- FWCI
- 9.50
- Type
- journal article
- Language
- en
- Open access
- closed
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