林分和地形因子对崇礼冬奥核心区森林地表可燃物载量的影响

doi:10.11707/j.1001-7488.20221006

Abstract

Abstract:

Objective: By establishing the regression relationship between stand factors, terrain factors and forest surface combustible loads, the forest surface combustible loads of Larix principis-rupprechtii and Betula platyphylla in the core area of Chongli Winter Olympic Games were estimated, which provides a scientific basis for forest fire prevention and fuel management in this study area. Method: On the basis of 63 sample plots set in the study area in 2021, this study took stand factors(stand age, average DBH, average tree height, stand density, canopy density, vegetation coverage), terrain factors(slope, altitude, soil layer thickness) and forest surface combustible loads (fresh and dry mass of bushes, herbs, litter and humus) as the research object. After processing the data of forest surface combustibles, the correlation analysis was carried out with stand factors and terrain factors as independent variables and forest surface combustible loads as dependent variable. In order to construct the optimal model form, the stepwise screening method was used to screen out the appropriate factors. Finally, stand age, stand density, vegetation coverage and altitude were selected to estimate the total surface combustible loads of L. principis-rupprechtii forest. Besides, stand density, slope and altitude were selected to estimate the total surface combustible loads of B. platyphylla forest. Based on this, the surface combustible loads of forest land sub-compartment in the core area of Chongli Winter Olympic Games were predicted. Result: The total surface combustible loads of L. principis-rupprechtii forests were significantly higher than that of B. platyphylla forests (P < 0.05). According to the correlation analysis among the stand factors, average tree height, average DBH and canopy density were significantly correlated with the total loads of surface combustibles (P < 0.05). Among the terrain factors, slope and soil thickness were significantly correlated with the total loads of surface combustibles on the forest surface (P < 0.05). It can be seen from the construction of forest fuel load model. Stand age, stand density, vegetation coverage and altitude could be used to estimate the total surface combustible loads of L. principis-rupprechtii forest. Stand density, slope and altitude could be used to estimate the total surface combustible loads of B. platyphylla forest. The determination coefficients of two forest type models were greater than 0.6 and the P values were less than 0.01. The model verification indicators also indicated that the models had good estimation accuracy. Through the two models, the total surface combustible loads of L. principis-rupprechtii forests and B. platyphylla forests in the core area of Chongli Winter Olympic Games were estimated and the distribution map was drawn. Conclusion: The total surface combustible loads of L. principis-rupprechtii forests were significantly higher than that of B. platyphylla forests, so L. principis-rupprechtii forest might be more prone to forest fire. Moreover, the influence factors of forest surface combustible loads of different forest types were different. Therefore, when carrying out combustibles management, we should choose different management methods and control measures according to local conditions. Due to the research data source, the forest surface combustible loads models are only applicable to the core area of Chongli Winter Olympic Games, which has a certain reference value for other areas. Most of the variables in the models are easily available survey factors, which makes the models have good applicability and can provide basis for forest fire prevention.

Key words: combustibles, carrying capacity, correlation analysis, Winter Olympics, linear regression

CLC Number:

S757.9

Zhuang Zhang,Shuqin Zong,Xingrong Yan,Hao Zhang,Hongchao Huang,Yueqin Zhai,Liyong Fu. Effects of Stand and Terrain Factors on Forest Surface Fuel Load in the Core Area of Chongli Winter Olympic Games[J]. Scientia Silvae Sinicae, 2022, 58(10): 59-66.

Figures/Tables 6

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Table 1

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Table 4

Fig.2

References 0

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森林类型Forest type	草本 Herb	腐殖质 Humus	灌木 Shrub	枯叶 Dead leaves	枯枝 Dead branches	合计 Total
白桦林Betula platyphylla forest	1.27	2.4	0.52	2.01	1.44	7.66
华北落叶松Larix principis-rupprechtii forest	2.02	2.97	1.14	2.75	1.13	10.00

类别 Classification	林龄 Forest age	平均胸径 Mean DBH	平均树高 Mean tree height	郁闭度 Crown density	坡度 Slope	海拔 Altitude	土层厚度 Soil layer thickness	植被盖度 Vegetation coverage	林分密度 Stand density
草本Herb	-0.070^**	-0.373^**	-0.475^**	-0.333^**	-0.224^*	0.185^*	-0.371^**	-0.02	-0.07
腐殖质Humus	0.03	-0.12	-0.17	-0.18	-0.185^*	-0.02	-0.10	-0.07	0.03
灌木Shrub	-0.087^**	-0.249^*	-0.382^**	-0.329^**	-0.258^**	0.17	-0.20	-0.05	-0.09
枯叶Dead leaves	0.002^**	-0.269^**	-0.353^**	-0.253^**	-0.216^*	0.09	-0.193^*	-0.08	0.00
枯枝Dead branches	0.14	0.183^*	0.13	0.238^*	0.208^*	-0.07	0.16	-0.16	0.14

项目 Item	指标 Index	相关系数 Correlation coefficient
林分因子 Stand factor	林龄Stand age	0.002^**
	平均胸径Mean DBH	-0.269^**
	平均树高Mean tree height	-0.353^**
	郁闭度Crown density	-0.253^**
	植被盖度Vegetation coverage	-0.080
	林分密度Stand density	0.101

地形因子 Terrain factor	坡度Slope	-0.216^*
	海拔Altitude	0.090
	土层厚度Soil layer thickness	-0.193^*

森林类型Forest type	估测模型Estimation model	R²	P
白桦林Betula platyphylla forest	Y=-1.18X₁+1.12X₅-0.23X₉+1.79X₇+0.804 0	0.689 8	0.000 5
华北落叶松林Larix principis-rupprechtii forest	Y=1.27X₆-0.8X₅+5.69X₇-1.94	0.660 4	0.002

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Effects of Stand and Terrain Factors on Forest Surface Fuel Load in the Core Area of Chongli Winter Olympic Games

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