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Preprints
https://doi.org/10.5194/bg-2020-430
https://doi.org/10.5194/bg-2020-430

  25 Nov 2020

25 Nov 2020

Review status: this preprint is currently under review for the journal BG.

Assessing Climate Change Impacts on Live Fuel Moisture and Wildfire Risk Using a Hydrodynamic Vegetation Model

Wu Ma1, Lu Zhai2, Alexandria Pivovaroff3, Jacquelyn Shuman4, Polly Buotte5, Junyan Ding6, Bradley Christoffersen7, Max Moritz8, Charles D. Koven6, Lara Kueppers9, and Chonggang Xu1 Wu Ma et al.
  • 1Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States
  • 2Department of Natural Ecology Resource and Management, Oklahoma State University, Stillwater, OK, United States
  • 3Atmospheric Science and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States
  • 4National Center for Atmospheric Research, Climate and Global Dynamics, Terrestrial Sciences Section, Boulder, CO, United States
  • 5Energy and Resources Group, University of California, Berkeley, CA, United States
  • 6Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, CA, United States
  • 7Department of Biology, University of Texas Rio Grande Valley, Edinburg, TX, United States
  • 8UC ANR Cooperative Extension, Bren School of Environmental Science & Management, University of California, Santa Barbara, CA, United States
  • 9Energy and Resources Group, University of California, Berkeley, and Lawrence Berkeley National Laboratory, Berkeley, CA, United States

Abstract. Live fuel moisture content (LFMC) plays a critical role in wildfire dynamics, but little is known about responses of LFMC to multivariate climate change, e.g., warming temperature, CO2 fertilization and altered precipitation patterns, leading to a limited prediction ability of future wildfire risks. Here, we use a hydrodynamic vegetation model to estimate LFMC dynamics of chaparral shrubs, a dominant vegetation type in fire-prone southern California. We parameterize the model based on observed shrub allometry and hydraulic traits, and evaluate the model's accuracy through comparisons between simulated and observed LFMC of three plant functional types (PFTs) under current climate conditions. Moreover, we estimate the number of days per year of LFMC below 79 % (which is a critical threshold for wildfire danger rating) from 1950 to 2099 for each PFT, and compare the number of days below the threshold for medium and high greenhouse gas emission scenarios (RCP4.5 and 8.5). We find that climate change could lead to more days per year (5.5–15.2 % increase) with LFMC below 79 % from historical period 1950–1999 to future period 2075–2099, and therefore cause an increase in wildlife danger for chaparral shrubs in southern California. Under the high greenhouse gas emission scenario during the dry season, we find that the future LFMC reductions mainly result from a warming temperature, which leads to 9.5–19.1 % reduction in LFMC. Lower precipitation in the spring leads to a 6.6–8.3 % reduction in LFMC. The combined impacts of warming and precipitation change on fire season length are equal to the additive impacts of warming and precipitation change individually. Our results show that the CO2 fertilization will mitigate fire risk by causing a 3.7–5.1 % increase in LFMC. Our results suggest that multivariate climate change could cause a significant net reduction in LFMC and thus exacerbate future wildfire danger in chaparral shrub systems.

Wu Ma et al.

 
Status: open (extended)
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Wu Ma et al.

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