Variability in wildland fuel patches following high-severity fire and post-fire treatments in the northern Sierra Nevada
Ian B. Moore A F , Brandon M. Collins B C , Daniel E. Foster A , Ryan E. Tompkins D , Jens T. Stevens
E and Scott L. Stephens A
+ Author Affiliations
- Author Affiliations
A Department of Environmental Science Policy and Management, University of California, 130 Mulford Hall No. 3114, Berkeley, CA 94720-3114, USA.
B USDA Forest Service, Pacific Southwest Research Station, Davis, CA 95618, USA.
C Center for Fire Research and Outreach, College of Natural Resources, University of California, Berkeley, CA 94720-3114, USA.
D University of California Cooperative Extension: Plumas, Sierra, and Lassen Counties, Quincy, CA 95971, USA.
E US Geological Survey, Fort Collins Science Center, New Mexico Landscapes Field Station, 301 Dinosaur Trail, Santa Fe, NM 87508, USA.
F Corresponding author. Email: imoore@berkeley.edu
International Journal of Wildland Fire 30(12) 921-932 https://doi.org/10.1071/WF20131
Submitted: 22 August 2020 Accepted: 18 September 2021 Published: 27 October 2021
Journal Compilation © IAWF 2021 Open Access CC BY-NC-ND
Abstract
Surface fuel loads are highly variable in many wildland settings, which can have many important ecological effects, especially during a wildland fire. This variability is not well described by a single metric (e.g. mean load), so quantifying traits such as variability, continuity and spatial arrangement will help more precisely describe surface fuels. This study measured surface fuel variability in the northern Sierra Nevada of California following a high-severity fire that converted a mixed-conifer forest to shrub-dominant vegetation, both before and after a subsequent shrub removal treatment conducted as site preparation for reforestation. Data were collected on vegetation composition, spatial arrangement and biomass load of the common surface fuel components (1–1000-h woody fuel, litter, duff and shrubs). Mean shrub patch length decreased significantly from 9.25 to 1.0 m and mean dead and down surface fuel load decreased significantly from 131.4 to 73.4 Mg ha−1. Additionally, probability of encountering a continuous high fuel load segment decreased after treatment. This work demonstrates a method of quantifying important spatial characteristics of surface fuel that could be used in the next generation of fire behaviour models and provides metrics that land managers may consider when designing post-fire reforestation treatments.
Keywords: fine fuels, woody debris, fuel load, fuel heterogeneity, fuel model, forest structure, mixed conifer, spatial variability.
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