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Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in jilin province, China

引用

Journal of forestry Research 2019年第6期30卷 2185-2197页

作者： Jing Li Yanlong Shan Sainan Yin Mingxia Wang Long Sun Daning Wang College of Mathematics and Statistics Beihua University3999 Binjiangdong RoadJilin 132013People’s Republic of China forestry College Beihua University3999 Binjiangdong RoadJilin 132013People’s Republic of China College of forestry Northeast Forestry University26 Hexing RoadHarbin 150040People’s Republic of China changbai mountain forest industry group corporation limited of jilin province 99 Changbaishanxi RoadYanji 133000People’s Republic of China

forest fires are influenced by several factors,including forest location,species type,age and density,date of fire occurrence,temperatures,and wind speeds,among *** study investigates the quantitative effects of these factors on the degree of forest fire disaster using nonparametric statistical methods to provide a theoretical basis and data support for forest fire *** on forest fire damage from 1969 to 2013 was *** results indicate that different forest locations and types,fire occurrence dates,temperatures,and wind speeds were statistically *** eastern regions of the study area experienced the highest fire occurrence,accounting for 85.0%of the total number of fires as well as the largest average forested area ***,May,and October had more frequent fires than other months,accounting for 78.9%,while September had the most extensive forested area burned(63.08 ha)and burnt area(106.34 ha).Hardwood mixed forest and oak forest had more frequent fires,accounting for 31.9%and 26.0%,***-conifer mixed forest had the most forested area burned(50.18 ha)and burnt area(65.09 ha).Temperatures,wind speeds,and their interaction had significant impacts on forested area burned and area burnt.

关键词： jilin province Brown–Forsythe method Scheirer-Ray-Hare method Impact factors forest fire damage

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