Carbon density in boreal forests responds non-linearly to temperature: An example from the Greater Khingan Mountains, northeast China

Liu, Yang; Trancoso, Ralph; Ma, Qin; Ciais, Philippe; Gouvêa, Lidiane P.; Yue, Chaofang; Assis, Jorge; Blanco, Juan A.

doi:10.1016/j.agrformet.2023.109519

Cited by 7 publications

(2 citation statements)

References 77 publications

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“…Forty-five holes (5 vertical and 9 horizontal) with a diameter of 2 mm each were drilled with 3 cm gaps on the side of the cuboid furnace. As the majority of the Daxiing'an Mountains are gentle slopes [45], three slope angles (0 • , 10 • and 20 • ) were selected. Fuels were put into the smoldering furnace separately.…”

Section: Simulating Smoldering Experimentsmentioning

confidence: 99%

Influence of Terrain Slope on Sub-Surface Fire Behavior in Boreal Forests of China

Shan,

Gao,

Yin

et al. 2024

Fire

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In recent years, the influence of extreme weather patterns has led to an alarming increase in the frequency and severity of sub-surface forest fires in boreal forests. The Ledum palustre-Larix gmelinii forests of the Daxing’an Mountains of China have emerged as a hotspot for sub-surface fires, and terrain slope has been recognized as a pivotal factor shaping forest fire behavior. The present study was conducted to (1) study the effect of terrain slope on the smoldering temperature and spread rate using simulated smoldering experiments and (2) establish occurrence probability prediction model of the sub-surface fires’ smoldering with different slopes based on the random forest model. The results showed that all the temperatures with different slopes were high, and the highest temperature was 947.91 °C. The spread rates in the horizontal direction were higher than those in the vertical direction, and the difference increased as the slope increased. The influence of slope on the peak temperature was greater than that of spread rate. The peak temperature was extremely positively correlated with the slope, horizontal distance and vertical depth. The spread rate was extremely positively correlated with the slope. The spread rate in the vertical direction was strongly positively correlated with the depth, but was strongly negatively correlated with the horizontal distance; the horizontal spread rate was opposite. The prediction equations for smoldering peak temperature and spread rate were established based on slope, horizontal distance, and vertical depth, and the model had a good fit (p < 0.01). Using random forest model, we established the occurrence prediction models for different slopes based on horizontal distance, vertical depth, and combustion time. The models had a good fit (AUC > 0.9) and high prediction accuracy (accuracy > 80%). The study proved the effect of slope on the characteristics of sub-surface fire smoldering, explained the variation in peak temperature and spread rate between different slopes, and established the occurrence prediction model based on the random forest model. The selected models had a good fit, and prediction accuracy met the requirement of the sub-surface fire prediction.

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Section: Simulating Smoldering Experimentsmentioning

confidence: 99%

Influence of Terrain Slope on Sub-Surface Fire Behavior in Boreal Forests of China

Shan,

Gao,

Yin

et al. 2024

Fire

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“…The predominant soil type in the study area is brown coniferous forest soil [27]. The study area experiences a subarctic continental monsoon climate, characterized by an annual average temperature below 0 • C [27][28][29]. Influenced by both continental and oceanic monsoons, the climate exhibits a wide range of variation, with significant local disparities.…”

Section: Study Areamentioning

confidence: 99%

Risk Assessment of Freezing–Thawing Hazards in the Daxing’anling Forest Region

Chen,

Huang

2023

Atmosphere

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The Daxing’anling forest region represents a crucial forestry hub in China and confronts some of the nation’s most severe freezing–thawing hazards. This study delved into the temporal trends and spatial distributions of various parameters related to freezing and thawing, including air temperature, ground surface temperature, freezing index, thawing index, and freezing–thawing frequency. Furthermore, this study assessed and delineated freezing–thawing hazards within the research area. The findings revealed a rapid increase in air temperature and ground surface temperature within the Daxing’anling forest region yet a lower rate of increase in ground surface temperature compared to Northeast China. Latitude had the strongest influence on mean annual air temperature, mean annual ground surface temperature, air freezing index, air thawing index, ground surface freezing index, ground surface thawing index, air freezing–thawing frequency, and ground surface freezing–thawing frequency, followed by longitude and elevation. Overall, freezing index, and air freezing–thawing frequency increased from south to north, whereas mean annual air temperature, mean annual ground surface temperature, air thawing index, ground surface thawing index, and ground surface freezing–thawing frequency decreased from south to north. The assessment outcomes underscore the importance of closely monitoring freezing–thawing hazards in regions north of the 50th parallel.

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Community diversity and composition affect ecosystem multifunctionality across environmental gradients in boreal and temperate forests

Zhao,

Hao,

Yue

et al. 2024

Ecological Indicators

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Carbon density in boreal forests responds non-linearly to temperature: An example from the Greater Khingan Mountains, northeast China

Cited by 7 publications

References 77 publications

Influence of Terrain Slope on Sub-Surface Fire Behavior in Boreal Forests of China

Influence of Terrain Slope on Sub-Surface Fire Behavior in Boreal Forests of China

Risk Assessment of Freezing–Thawing Hazards in the Daxing’anling Forest Region

Community diversity and composition affect ecosystem multifunctionality across environmental gradients in boreal and temperate forests

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