Journal of Arid Meteorology ›› 2021, Vol. 39 ›› Issue (1): 144-150.

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Characteristics of Ground Surface Dead Fuel Moisture Content for Different Stand Types in Great Xing’an Mountains and Relevant Affecting Factors#br#
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LI Dan, YANG Liping, JIA Chengzhen#br#

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  1. (Inner Mongolia Meteorological Service, Hohhot 010051, China)
  • Online:2021-03-01 Published:2021-03-10

大兴安岭不同林型地表死可燃物含水率特征及其影响因子

李丹,杨丽萍,贾成朕   

  1. (内蒙古自治区生态与农业气象中心,内蒙古呼和浩特010051)

  • 作者简介:李丹(1982— ),女,高级工程师,双硕士,主要从事生态学和公共气象服务等方面研究. E-mail: 40342051@qq.com。
  • 基金资助:
    内蒙古自然科学基金(2017MS0411)和内蒙古科技攻关项目(2020GG0016)共同资助

Abstract: Based on surface dead fuel data of Larix gmelinii (sunny slope) in Genhe City, mixed forest of Xylosma racemosum, Betula platyphylla and Betula dahurica (shady slope) in Oroqen Autonomous Banner, mixed forest of Betula platyphylla and Populus davidiana (sunny slope) in Yakeshi City and mixed forest of Betulaplatyphylla and Populus davidiana (shady slope) in Aershan City in great Xing’an Mountains forest and meteorological observation data during 2004-2019, the relationships between ground surface dead fuel moisture content and forest factors, meteorological factor inside and outside the forest were analyzed. The canopy density, surface dead fuel temperature and forest temperature had a negative correlation with ground surface dead fuel moisture, while the relative humidity had a positive correlation with ground surface dead fuel moisture content on sunny slope forest, and it was opposite on shady slope forest. The prediction models of ground surface dead fuel moisture content were established during the fire prevention period in different seasons by using stepwise regression method. The prediction model of sunny slope forest model was better than the shady slope model. The model was best in autumn, followed by spring and autumn, summer and it was worst during the total fire prevention period.

Key words: Key words: great Xing’an Mountains, surface dead fuel, moisture content, correlation analysis

摘要: 基于2004—2019年内蒙古地区大兴安岭根河市落叶松林(阳坡),鄂伦春自治旗蒙古栎、白桦和黑桦混交林(阴坡),牙克石市白桦和山杨混交林(阴坡),阿尔山市白桦和山杨混交林(阳坡)4个林地地表死可燃物监测数据及当地气象站观测数据,分析地表死可燃物含水率与林分因子、林内气象因子、林外影响因子的相关关系,发现两种阳坡林型林内郁闭度、地表死可燃物温度、林中气温与地表死可燃物含水率负相关,林内相对湿度与地表死可燃物含水率正相关;两种阴坡林型刚好相反。筛选有物理意义的影响因子,采用逐步回归方法分别建立不同季节防火期地表死可燃物含水率预测模型,模型拟合优度阳坡>阴坡,秋季防火期>春季防火期>春秋混合季防火期>夏季防火期>总防火期。

关键词: 关键词:大兴安岭, 地表死可燃物, 含水率, 相关分析