欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2012, Vol. 23 ›› Issue (07): 1743-1750.

• 研究报告 • 上一篇    下一篇

大兴安岭地区森林雷击火与闪电的关系

雷小丽1,2,周广胜1**,贾丙瑞1,李帅3   

  1. (1中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093; 2中国科学院研究生院,  北京 100049;3黑龙江省气象科学研究所, 哈尔滨 150030)
  • 出版日期:2012-07-18 发布日期:2012-07-18

Relationships of forest fire with lightning in Daxing’anling Mountains, Northeast China.

LEI Xiao-li1,2, ZHOU Guang-sheng1, JIA Bing-rui1, LI Shuai3   

  1. (1State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; 2Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3Heilongjiang Institute of Meteorological Sciences, Harbin 150030, China)
  • Online:2012-07-18 Published:2012-07-18

摘要: 林火是森林生态系统的重要影响因子.随着全球气候变暖,林火,特别是雷击火有增多的趋势.本文对我国东北大兴安岭地区1966—2007年的林火数据及相应的闪电和气象资料进行分析.结果表明: 1966—2007年,该地区雷击火的次数及其过火面积都呈显著增加趋势.影响雷击火的气象条件与研究时间尺度有关,年尺度的雷击火与降水显著相关,相关系数达-0.489;月尺度的雷击火则与气温显著相关,相关系数为0.18.雷击火与闪电的关系也与时间尺度有关,年尺度的雷击火与闪电关系不明显,受降水影响较大;月尺度的雷击火与闪电具有较好的相关性,且受降水的影响;日尺度的雷击火在降水量>5 mm时与闪电关系不明显,但当降水量<5 mm时,雷击火与闪电次数呈正相关.据此,发展了基于闪电定位仪数据的火险指数算法以及大兴安岭地区的森林雷击火预报模型.经2005—2007年雷击火验证,该模型的预报准确率>80%.

Abstract: Forest fire is an important factor affecting forest ecosystem succession. Recently, forest fire, especially forest lightning fire, shows an increasing trend under global warming. To study the relationships of forest fire with lightning is essential to accurately predict the forest fire in time.
Daxing’anling Mountains is a region with high frequency of forest lightning fire in China, and an important experiment site to study the relationships of forest fire with lightning. Based on the forest fire records and the corresponding lightning and meteorological observation data in the Mountains from 1966 to 2007, this paper analyzed the relationships of forest fire with lightning in this region. In the period of 1966-2007, both the lightning fire number and the fired forest area in this region increased significantly. The meteorological factors affecting the forest lighting fire were related to temporal scales. At yearly scale, the forest lightning fire was significantly correlated with precipitation, with a correlation coefficient of -0.489; at monthly scale, it had a significant correlation with air temperature, the correlation coefficient being 0.18. The relationship of the forest lightning fire with lightning was also related to temporal scales. At yearly scale, there was no significant correlation between them; at monthly scale, the forest lightning fire was strongly correlated with lightning and affected by precipitation; at daily scale, a positive correlation was observed between forest lightning fire and lightning when the precipitation was less than 5 mm. According to these findings, a fire danger index based on ADTD lightning detection data was established, and a forest lightning fire forecast model was developed. The prediction accuracy of this model for the forest lightning fire in Daxing’anling Mountains in 2005-2007 was >80%.