Literature DB >> 29698575

Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape.

Harold S J Zald1, Christopher J Dunn2.   

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, RdNBR) 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 RdNBR was higher on private industrial forests (RdNBR 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.
© 2018 by the Ecological Society of America.

Entities:  

Keywords:  Landsat; Oregon; RdNBR; fire severity; forest management; multi-owner landscape; plantation forestry

Mesh:

Year:  2018        PMID: 29698575     DOI: 10.1002/eap.1710

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  5 in total

1.  Wildfire severity influences offspring sex ratio in a native solitary bee.

Authors:  Sara M Galbraith; James H Cane; James W Rivers
Journal:  Oecologia       Date:  2021-01-03       Impact factor: 3.225

2.  Human ignitions on private lands drive USFS cross-boundary wildfire transmission and community impacts in the western US.

Authors:  William M Downing; Christopher J Dunn; Matthew P Thompson; Michael D Caggiano; Karen C Short
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.996

3.  Quantifying contributions of natural variability and anthropogenic forcings on increased fire weather risk over the western United States.

Authors:  Yizhou Zhuang; Rong Fu; Benjamin D Santer; Robert E Dickinson; Alex Hall
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-09       Impact factor: 11.205

4.  Effects of ownership patterns on cross-boundary wildfires.

Authors:  Ana M G Barros; Michelle A Day; Thomas A Spies; Alan A Ager
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

Review 5.  Adapting western North American forests to climate change and wildfires: 10 common questions.

Authors:  Susan J Prichard; Paul F Hessburg; R Keala Hagmann; Nicholas A Povak; Solomon Z Dobrowski; Matthew D Hurteau; Van R Kane; Robert E Keane; Leda N Kobziar; Crystal A Kolden; Malcolm North; Sean A Parks; Hugh D Safford; Jens T Stevens; Larissa L Yocom; Derek J Churchill; Robert W Gray; David W Huffman; Frank K Lake; Pratima Khatri-Chhetri
Journal:  Ecol Appl       Date:  2021-10-13       Impact factor: 6.105

  5 in total

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