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2003—2018年中国森林火灾时空分布格局研究
引用本文:曾雪艳,杨金明,李士美.2003—2018年中国森林火灾时空分布格局研究[J].林业调查规划,2021(2):53-58,168.
作者姓名:曾雪艳  杨金明  李士美
作者单位:青岛农业大学园林与林学院
基金项目:山东省林业科技创新项目“山东省森林火灾防控体系与灾后恢复技术研究与示范”(2019LY004).
摘    要:基于2003—2018年的中国森林火灾统计数据,全面分析了森林火灾发生的时空分布格局,定量分析了其统计学规律,旨在为森林火灾预测、管理和风险决策提供基础支撑。分析结果表明,森林火灾的发生具有极强的随机性和离散性,通过森林火灾总次数、火场面积和受害森林面积的平均数来反映森林火灾发生风险将会导致评估结果偏高。森林火灾发生次数较多的为湖南、贵州、广西等省,而森林火场面积和受害森林面积较多的为黑龙江、内蒙古、云南、湖南、广西等省。按照森林火灾发生的格局,运用K均值聚类分析将31省分为4类。

关 键 词:森林火灾  时空分布格局  平均数  中位数  变异系数

Spatial and Temporal Pattern of Forest Fires in China from 2003 to 2018
ZENG Xueyan,YANG Jinming,LI Shimei.Spatial and Temporal Pattern of Forest Fires in China from 2003 to 2018[J].Forest Inventory and Planning,2021(2):53-58,168.
Authors:ZENG Xueyan  YANG Jinming  LI Shimei
Institution:(College of Landscape Architecture and Forestry,Qingdao Agricultural University,Qingdao,Shandong 266109,China)
Abstract:Based on the statistical data of forest fires in China from 2003 to 2018,the spatial and temporal pattern of forest fires was comprehensively analyzed,and the statistical law was quantitatively analyzed,in order to provide basic support for forest fire prediction,management and risk decision-making.The results showed that the occurrence of forest fire had strong randomness and discreteness.The risk of forest fire would be overestimated by means of the mean number of forest fires,fire burned area and damaged forest area.The number of forest fires for Hunan,Guizhou,Guangxi was ranked on the top among the 31 provinces,while the fire burned area and the damaged forest area for Heilongjiang,Inner Mongolia,Yunnan,Hunan,Guangxi were ranked on the top.According to the pattern of forest fire,31 provinces were classified into 4 groups by K-means cluster analysis.
Keywords:forest fire  spatial and temporal pattern  mean number  median  coefficient of variation
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