Change of Dry and Wet Climate and Its Influence on Forest Fire in the Great Xing'an Mountains

Li Xiufen; Guo Zhaobin; Zhao Huiying; Zhu Haixia; Wang Ping; Zhai Mo

doi:10.11898/1001-7313.20180510

Vol.29, NO.5, 2018

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Li Xiufen, Guo Zhaobin, Zhao Huiying, et al. Change of dry and wet climate and its influence on forest fire in the Great Xing'an Mountains. J Appl Meteor Sci, 2018, 29(5): 619-629. DOI: 10.11898/1001-7313.20180510.

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Li Xiufen, Guo Zhaobin, Zhao Huiying, et al. Change of dry and wet climate and its influence on forest fire in the Great Xing'an Mountains. J Appl Meteor Sci, 2018, 29(5): 619-629. DOI: 10.11898/1001-7313.20180510.

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Change of Dry and Wet Climate and Its Influence on Forest Fire in the Great Xing'an Mountains

DOI: 10.11898/1001-7313.20180510

Li Xiufen^1,2,3,
Guo Zhaobin⁴,
Zhao Huiying^{1,2,3
,
,},
Zhu Haixia^1,2,3,
Wang Ping^1,2,3,
Zhai Mo^1,2,3

1.
Innovation and Opening Laboratory of Eco-Meteorology in Northeast China, CMA, Harbin 150030
2.
Meteorological Academician Workstation of Heilongjiang Province, Harbin 150030
3.
Heilongjiang Institute of Meteorological Sciences, Harbin 150030
4.
Forestry Department of Heilongjiang Province, Harbin 150090

Received Date: 2018-03-23
Rev Recd Date: 2018-05-18
Publish Date: 2018-09-30

Abstract

Abstract

It's of immense importance to understand characteristics of dry and wet climate condition change in forest region of the Great Xing'an Mountains, and reveal its influence on forest fire pattern, which can provide scientific basis for forest fire management and forest resource protection in this region. Based on standardized precipitation index(SPI) in the Great Xing'an Mountains from 1974 to 2016, using statistical analysis and comparative analysis method, effects of different dry and wet scenarios on the number of forest fires and burned areas are systematically analyzed. And similarities and differences of different drought grade effects on forest fires are discussed. From 1974 to 2016, The annual climate of the Great Xing'an Mountains in Heilongjiang shows wetting trends, with several obvious stages. The annual fluctuation of SPI in seasonal scale is larger, and all of them show wetting trends. The precipitation in summer plays a decisive role in the change of annual dry-wet climate conditions. The forest fire frequency and burned areas are basically accordant with the grade of dry and wet climate. However, the number of forest fires is more closely related to the dry and wet climate condition. On annual scale, SPI value is negatively correlated with the number of fires, reaching 0.05 significant level. However, SPI value shows a weak negative correlation with the natural logarithm of the total burned areas, not passing the significant test. On seasonal scale, there is a significant negative correlation of SPI to the number of forest fires and the natural logarithm of burned areas. But the seasonal difference is great, and it's most significant in spring, followed by autumn, and relatively weak in summer. SPI in different seasons is negatively correlated with the number of annual forest fires and the natural logarithm of burned areas. Dry and wet climate has effects on the forest fires in lag period, and it's found that SPI in the previous winter contributes most to the number of forest fires. SPI can not only better reflect dry and wet conditions of regional climate, but also indicate the possibility of forest fire and the relative change of burned areas well. It can provide a scientific basis for forest fire prediction and management.
- the Great Xing'an Mountains;
- change of dry and wet climate;
- forest fire;
- standardized precipitation index (SPI)

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References(32)

Figures and Tables

Fig. 1 Distribution of meteorological stations in the target region

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Fig. 2 Changes of annual SPI in the Great Xing'an Mountains of Heilongjiang from 1974 to 2016

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Fig. 3 SPI change of different season in the Great Xing'an Mountains of Heilongjiang from 1974 to 2016

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Fig. 4 Changes of fire times and burned areas in the Great Xing'an Mountains of Heilongjiang from 1974 to 2016

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Fig. 5 Relationships of fire times and burned areas to annual SPI in the Great Xing'an Mountains of Heilongjiang from 1974 to 2016

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Fig. 6 Changes of fire times and burned areas in the Great Xing'an Mountains of Heilongjiang in different seasons

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Table 1 Dry and wet grades for SPI

干湿等级	SPI
极端干旱	不大于-2.0
重度干旱	(-2.0, -1.5]
中等干旱	(-1.5, -1.0]
轻微干旱	(-1.0, -0.5)
正常	(-0.5, 0.5)
轻微湿润	[0.5, 1.0)
中等湿润	[1.0, 1.5)
重度湿润	[1.5, 2.0)
极端湿润	不小于2.0

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Table 2 Dry and wet classification results of annual SPI

干湿等级	1974—1986年	1987—2001年	2002—2016年
极端干旱			2005
重度干旱	1979		2002，2007
中等干旱	1974，1976，1986
轻微干旱		1994	2011，2014
正常	1975，1978，1980，1981，1983，1985	1987，1988，1989，1992，1995，1997，1999，2000，2001	2004，2006，2008，2010，2012，2016
轻微湿润	1977，1984	1990，1993，1996，1998	2015
中等湿润			2009
重度湿润	1982	1991	2003
极端湿润			2013

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Table 3 Extreme drought(wet) and severe drought(wet) year

年份	年	春季	夏季	秋季	冬季
1979	重度干旱	极端干旱	重度干旱	轻微湿润	正常
1982	重度湿润	轻微湿润	中等湿润	中等湿润	轻微干旱
1991	重度湿润	正常	重度湿润	正常	重度湿润
2002	重度干旱	轻微湿润	极端干旱	正常	中等干旱
2003	重度湿润	重度干旱	重度湿润	轻微湿润	重度湿润
2005	极端干旱	正常	极端干旱	轻微干旱	轻微湿润
2007	重度干旱	正常	中等干旱	中等干旱	重度干旱
2013	极端湿润	极端湿润	重度湿润	正常	正常

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Table 4 Relationships of fire times and natural logarithm of burned areas to seasonal SPI

季节	林火次数	过火面积的自然对数
春季	-0.4932	-0.5464
夏季	-0.4604	-0.3489
秋季	-0.4509	-0.3997

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Table 5 Annual average fire times and averaged single burned area corresponding to different drought degree

时间尺度	干旱等级	干旱年份数量	年平均火灾次数	平均单次过火面积/hm²
年	极端干旱	1	49	2306.26
	重度干旱	3	57	377.02
	中等干旱	3	55	1866.11
	轻微干旱	3	14	1051.99
春季	极端干旱	2	30	786.31
	重度干旱	2	31	11553.93
	中等干旱	2	17	431.56
	轻微干旱	6	16	26702.64
夏季	极端干旱	2	49	20.56
	重度干旱	2	22	227.72
	中等干旱	2	19	185.28
	轻微干旱	5	13	38.15
秋季	极端干旱	3	7	1537.43
	重度干旱	1	2	458.2
	中等干旱	2	10	7838.84
	轻微干旱	3	5	7562.57

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Table 6 Relationships of fire times and natural logarithm of burned areas to seasonal SPI in drought years

春季	-0.5908^*	-0.0419
夏季	-0.2947	-0.3546
秋季	-0.1119	0.0095
前一年冬季	-0.6531^**	-0.2708
注：表示达到0.1显著性水平，*表示达到0.05显著性水平。

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