Climate and wildfire are closely linked. Climate regulates wildfire directly over short timescales through its effect on fuel aridity and indirectly over long timescales through vegetation productivity and the structure and abundance of fuels. Prediction of future wildfire regimes in a changing climate often uses empirical studies that presume current relationships between shortâterm climate variables and wildfire activity will be stationary in the future. This is problematic because landscapeâscale wildfire dynamics exhibit nonâstationarity, with both positive and negative feedback loops that operate at different temporal and spatial scales. This requires that such feedbacks are accommodated in a model framework from which wildfire dynamics are emergent rather than preâspecified. We use a new model, RHESSysâWMFire, that integrates ecohydrology with fire spread and effects to simulate a 60âyr time series of vegetation, fuel development, and wildfire in a 6572âha watershed in the Southern Sierra Nevada, USA, with a factorial design of increased temperature and severe drought. All climate scenarios had an initial pulse of elevated area burned associated with high temperature, low precipitation, and high fine fuel loading. There were positive correlations between annual area burned and mean annual maximum temperature and negative correlations with annual precipitation, consistent with understood direct effects of climate on wildfire in this system. Decreased vegetation productivity and increased fine fuel decomposition were predicted with increased temperature, resulting in longâterm reduced fine fuels and area burned relative to baseline. Repeated extreme drought increased area burned relative to baseline and over the longâterm had substantially reduced overstory biomass. Overstory biomass was resilient to repeat wildfire under baseline climate. The model system predicts that the shortâterm direct effects of climate on wildfire can differ from longâterm indirect effects such that the simple maxim hotter/drier equals more wildfire can be both true and false, depending on scale.
This content will become publicly available on August 24, 2024
- Award ID(s):
- 2117634
- NSF-PAR ID:
- 10456062
- Date Published:
- Journal Name:
- Environmental Research Letters
- Volume:
- 18
- Issue:
- 9
- ISSN:
- 1748-9326
- Page Range / eLocation ID:
- 094030
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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