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我国森林火灾发生的时空规律研究
引用本文:陶玉柱,邸雪颖,金森.我国森林火灾发生的时空规律研究[J].世界林业研究,2013,26(5):75-80.
作者姓名:陶玉柱  邸雪颖  金森
作者单位:1.东北林业大学林学院,哈尔滨 150040
基金项目:“十二五”国家科技计划课题(2011BAD08B01)
摘    要:森林火灾对森林生态系统有重要影响,可能给森林生态系统带来毁灭性的损害,但在森林生态系统演替中又具有重要和积极的影响。研究森林火灾发生规律是森林火灾预测预报的基础,也是指导森林防火与补救工作的重要科学依据,具有重要的理论与现实意义。受气候变化等因素的影响,近年来森林火灾有多发的趋势,关于森林火灾发生及其生态影响成为研究的热点。文中在参考国外研究成果的基础上,从森林火灾发生的不同时间尺度和不同空间尺度上评述我国森林火灾发生的时空分布规律,总结我国森林火灾发生的一些总体规律性,指出现有研究存在的问题,并对未来的研究方向进行展望。

关 键 词:森林火灾    时空分布    发生规律    中国
收稿时间:1/5/2013 12:00:00 AM

Research on Temporal and Spatial Distribution of Forest Fire in China
Tao Yuzhu,Di Xueying and Jin Sen.Research on Temporal and Spatial Distribution of Forest Fire in China[J].World Forestry Research,2013,26(5):75-80.
Authors:Tao Yuzhu  Di Xueying and Jin Sen
Institution:1.College of Forestry, Northeast Forestry University, Harbin 150040, China2.Liaoning Provincial Institute of Forest Management, Dandong 118002, Liaoning, China
Abstract:Forest fires have important influences upon forest ecological system. On the one hand forest fires may bring forest ecological system with devastating damage, and on the other hand, they have important positive effects on the succession of forest ecological system. The research on forest fire occurrence pattern is the foundation to forecast forest fires, and also acts as the important scientific basis to prevent and suppress forest fires. Therefore, the research is of important theoretical and practical significance. Out of climate change and other factors, forest fires show the trend to multiple in recent years. Forest fire occurrences and their ecological effects have become the research focus. This paper discussed the temporal and spatial distribution of forest fires in China from different temporal and spatial dimensions based on foreign research results as the references, and summarized the general pattern of forest fire occurrence in China. It pointed out the problems existing in the current research, and prospected the future research direction.
Keywords:forest fire  temporal and spatial distribution  occurrence pattern
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