Forecasting Live Fuel Moisture of Adenostema fasciculatum and Its Relationship to Regional Wildfire Dynamics across Southern California Shrublands

被引:6
作者
Park, Isaac [1 ]
Fauss, Kristina [2 ]
Moritz, Max A. [3 ,4 ]
机构
[1] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 91336 USA
[2] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 91336 USA
[3] Univ Calif Cooperat Extens, Santa Barbara, CA 91336 USA
[4] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 91336 USA
来源
FIRE-SWITZERLAND | 2022年 / 5卷 / 04期
关键词
fuel moisture; live fuel moisture; forecasting; climate; burned area; FIRE SPREAD; PREDICTIONS; MODIS;
D O I
10.3390/fire5040110
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In seasonally dry environments, the amount of water held in living plant tissue-live fuel moisture (LFM)-is central to vegetation flammability. LFM-driven changes in wildfire size and frequency are particularly important throughout southern California shrublands, which typically produce intense, rapidly spreading wildfires. However, the relationship between spatiotemporal variation in LFM and resulting long-term regional patterns in wildfire size and frequency within these shrublands is less understood. In this study, we demonstrated a novel method for forecasting the LFM of a critical fuel component throughout southern California chaparral, Adenostema fasciculatum (chamise) using gridded climate data. We then leveraged these forecasts to evaluate the historical relationships of LFM to wildfire size and frequency across chamise-dominant California shrublands. We determined that chamise LFM is strongly associated with fire extent, size, and frequency throughout southern California shrublands, and that LFM-wildfire relationships exhibit different thresholds across three distinct LFM domains. Additionally, the cumulative burned area and number of fires increased dramatically when LFM fell below 62%. These results demonstrate that LFM mediates multiple aspects of regional wildfire dynamics, and can be predicted with sufficient accuracy to capture these dynamics. Furthermore, we identified three distinct LFM 'domains' that were characterized by different frequencies of ignition and spread. These domains are broadly consistent with the management thresholds currently used in identifying periods of fire danger.
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页数:15
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