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• W2518526693 abstract "Fuel load is a primary determinant of fire spread in Australian forests. In east Australian forests, litter and canopy fuel loads and hence fire hazard are thought to be highest at and beyond steady-state fuel loads 15-20 years post-fire. Current methods used to predict fuel loads often rely on course-scale vegetation maps and simple time-since-fire relationships which mask fine-scale processes influencing fuel loads. Here we use Light Detecting and Remote Sensing technology (LiDAR) and field surveys to quantify post-fire mid-story and crown canopy fuel accumulation and fire hazard in Dry Sclerophyll Forests of the Sydney Basin (Australia) at fine spatial-scales (20 × 20 m cell resolution). Fuel cover was quantified in three strata important for crown fire propagation (0.5-4 m, 4-15 m, >15 m) over a 144 km(2) area subject to varying fire fuel ages. Our results show that 1) LiDAR provided a precise measurement of fuel cover in each strata and a less precise but still useful predictor of surface fuels, 2) cover varied greatly within a mapped vegetation class of the same fuel age, particularly for elevated fuel, 3) time-since-fire was a poor predictor of fuel cover and crown fire hazard because fuel loads important for crown fire propagation were variable over a range of fire fuel ages between 2 and 38 years post-fire, and 4) fuel loads and fire hazard can be high in the years immediately following fire. Our results show the benefits of spatially and temporally specific in situ fuel sampling methods such as LiDAR, and are widely applicable for fire management actions which aim to decrease human and environmental losses due to wildfire." @default.
• W2518526693 created "2016-09-16" @default.
• W2518526693 creator A5000694013 @default.
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• W2518526693 date "2016-10-01" @default.
• W2518526693 modified "2023-09-26" @default.
• W2518526693 title "The potential for LiDAR technology to map fire fuel hazard over large areas of Australian forest" @default.
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• W2518526693 doi "https://doi.org/10.1016/j.jenvman.2016.08.042" @default.
• W2518526693 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27558828" @default.
• W2518526693 hasPublicationYear "2016" @default.
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