Allometric Equations for Estimating Crown Fuel Biomass of Pinus densiflora in South Korea

Recent climate change-driven warming and prolonged drought have reduced fuel moisture in forests, increasing the frequency and severity of wildfires. In particular, crown fires have become more frequent, highlighting the importance of quantifying crown fuel characteristics. However, studies on the crown fuel biomass of Pinus densiflora in South Korea remain limited. This study aimed to quantify crown fuel biomass and develop a diameter at breast height (DBH)-based allometric model across major P. densiflora distribution areas. A total of 67 sample trees were destructively sampled across seven regions. Crown fuel components were classified into needles and branch diameter classes, and their dry biomass was measured. A log-transformed allometric model was developed, and its reliability was evaluated using correction factors, confidence intervals, and prediction intervals. Branches accounted for approximately 78% of total crown fuel, while needles accounted for approximately 22%. The model demonstrated high explanatory power, with Radj2 ranging from 0.783 to 0.945. Combustible fuels (≤1.0 cm) accounted for approximately 45% of total crown fuel. The developed model can be used as an input for wildfire spread prediction and provides a basis for crown fire risk assessment and fuel mapping.

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Publication Details

Journal
Forests
Published
2026-04-30
DOI
https://doi.org/10.3390/f17050549
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00

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article

Allometric Equations for Estimating Crown Fuel Biomass of Pinus densiflora in South Korea

Seong-kyun Im, Byung-Doo Lee, Hyunseok Lee, Sung‐Yong Kim et al.
Forests
Fire effects on ecosystems
article

Allometric Equations for Estimating Crown Fuel Biomass of Pinus densiflora in South Korea

Seong-kyun Im, Byung-Doo Lee, Hyunseok Lee, Sung‐Yong Kim, Mi-na Jang, Jae-hak Song, Woong-hee Lee
article en

Abstract

Recent climate change-driven warming and prolonged drought have reduced fuel moisture in forests, increasing the frequency and severity of wildfires. In particular, crown fires have become more frequent, highlighting the importance of quantifying crown fuel characteristics. However, studies on the crown fuel biomass of Pinus densiflora in South Korea remain limited. This study aimed to quantify crown fuel biomass and develop a diameter at breast height (DBH)-based allometric model across major P. densiflora distribution areas. A total of 67 sample trees were destructively sampled across seven regions. Crown fuel components were classified into needles and branch diameter classes, and their dry biomass was measured. A log-transformed allometric model was developed, and its reliability was evaluated using correction factors, confidence intervals, and prediction intervals. Branches accounted for approximately 78% of total crown fuel, while needles accounted for approximately 22%. The model demonstrated high explanatory power, with Radj2 ranging from 0.783 to 0.945. Combustible fuels (≤1.0 cm) accounted for approximately 45% of total crown fuel. The developed model can be used as an input for wildfire spread prediction and provides a basis for crown fire risk assessment and fuel mapping.

ForestsVol. 17(5)
Gyeongguk National University (KR), Korea University (KR), Korea Forest Service (KR)
Korea Forest Service
Climate action
Openalex Percentile: Top 6%
Fire effects on ecosystems
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