:Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China论文

:Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China论文

本文主要研究内容

作者(2019)在《Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China》一文中研究指出:Forest fires are influenced by several factors,including forest location, species type, age and density,date of fire occurrence, temperatures, and wind speeds,among others. This 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 management.Data on forest fire damage from 1969 to 2013 was analyzed. The results indicate that different forest locations and types, fire occurrence dates, temperatures, and wind speeds were statistically significant. The 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 burned. April, 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%,respectively. Hardwood-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.

Abstract

Forest fires are influenced by several factors,including forest location, species type, age and density,date of fire occurrence, temperatures, and wind speeds,among others. This 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 management.Data on forest fire damage from 1969 to 2013 was analyzed. The results indicate that different forest locations and types, fire occurrence dates, temperatures, and wind speeds were statistically significant. The 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 burned. April, 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%,respectively. Hardwood-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.

论文参考文献

  • [1].Research on Accounting Recognition and Measurement of Forest Ecological Assets[J]. Liu Meijuan,Wen Zuomin,Wei Yuanzhu.  Chinese Forestry Science and Technology.2012(03)
  • [2].Contribution of Atmospheric Nitrogen Compounds to N Deposition in a Broadleaf Forest of Southern China[J]. HU Zheng-Yi, XU Cheng-Kai, ZHOU Li-Na, SUN Ben-Hua, HE Yuan-Qiu, ZHOU Jing and CAO Zhi-Hong State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210007 (China) College of Resources and Environment, Northwest Sci-Tech University of Agriculture and Forestry, Yangling 712100 (China).  Pedosphere.2007(03)
  • [3].Valuation of forest carbon sinks in China within the framework of the system of national accounts[J]. Ying Zhang,Jiancheng Chen,Mingxing Hu,Armin Offer.  Journal of Forestry Research.2016(06)
  • [4].Comment on Malanson(2017) “Mixed signals in trends of variance in high-elevation tree ring chronologies” published in Journal of Mountain Science[J]. Anthony FOWLER.  Journal of Mountain Science.2018(02)
  • [5].Distribution and Host Plants of Asemini in China and Potential Invasive Threat of Alien Species[J]. Shi Shuqing,Chen Li.  Chinese Forestry Science and Technology.2012(03)
  • [6].Influence of Factor Input on Forestry Economic Growth of Jilin Province[J]. Yufen XU,Miao WANG.  Asian Agricultural Research.2016(02)
  • [7].Study on the Resistance of Pseudoperonospora cubensis to Cymoxanil[J]. Zhang Yanju,He Ziwei,Gao Jiyang,Fu Lu,Zhang Xingzhe,Liu Qiyue,Si Xiuyang.  Plant Diseases and Pests.2019(03)
  • [8].The Accounting for Carbon Sequence and Oxygen Release of Forest Resources and the Case Study[J]. LIU CanChina National Forestry Economics and Development Research Center. Beijing 100714.  Chinese Forestry Science and Technology.2003(02)
  • [9].Spatial and temporal distribution of forest fire frequency and forest area burnt in Jilin Province, Northeast China[J]. Qiang Liu,Yanlong Shan,Lifu Shu,Pingyan Sun,Shuai Du.  Journal of Forestry Research.2018(05)
  • [10].It is difficult for China’s greening through large-scale afforestation to cross the Hu Line[J]. Hongyan LIU.  Science China(Earth Sciences).2019(10)
  • 论文详细介绍

    论文作者分别是来自Journal of Forestry Research的,发表于刊物Journal of Forestry Research2019年06期论文,是一篇关于,Journal of Forestry Research2019年06期论文的文章。本文可供学术参考使用,各位学者可以免费参考阅读下载,文章观点不代表本站观点,资料来自Journal of Forestry Research2019年06期论文网站,若本站收录的文献无意侵犯了您的著作版权,请联系我们删除。

    标签:;  

    :Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China论文
    下载Doc文档

    猜你喜欢