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红松阔叶混交林林隙0cm地温的地统计学分析 被引量:3

0 cm Soil Temperature of Forest Gap in Pinus koraiensis-dominated Broadleaved Mixed Forest Based on Geostatistical Analysis
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摘要 [目的]揭示小兴安岭红松阔叶混交林林隙0 cm地面温度的时空变化规律。[方法]以小兴安岭原始红松阔叶混交林林隙为研究对象,采用网格法布点,通过对生长季内林隙各样点0 cm地面温度的连续观测,利用基本统计学和地统计学的方法研究林隙0 cm地面温度的时空分布格局。[结果]林隙地面温度不同,空间样点之间存在异质性,且异质性的强度、尺度和空间结构组成随时间的延长而改变,各月0 cm平均地面温度斑块形状复杂,林隙0 cm地面温度从大到小依次为6、7、8、9月,月平均0 cm地温的最大值和最小值分布位置不固定,同一月份地面温度从大到小为空旷地、林隙、郁闭林分。[结论]该研究可为红松阔叶混交林的可持续经营提供基础数据和理论参考。 [ Objective ] To reveal temporal and spatial variation of forest gap 0 cm ground temperature in Pinus koraiensis-dominated broadleaved mixed forest in Xiao Xing' an Mountains. [ Method ] Taking forest gap of Pinus koraiensis-dominated broadleaved mixed forest in Xiao Xing' an Mountains as the research object, the growth season of the forest gaps of 0 cm ground temperature were continuously observed by the method of the grid. And spatial distribution pattern of gap 0 cm ground temperature was analyzed and revealed by method of basic statistics and geostatistics. [ Result] The results showed that the heterogeneity of extreme 0 cm soil surface temperature exitd among different locations in the gap. The intensi- ty and scale of spatial heterogeneity changed over time and the complex degree of patch shapes were also different ,the maxmum 0 cm soil surface temperature was highest in June, then decreased in the sequence of July, August and September. The maxmum and minmum value of mean monthly surface temperature were not fixed at the same location. The 0 cm soil surface temperature was highest in the bare ground, medium in forest gap and lowest in understory in the same month. [ Conclusion] The study can provide basic data and theoretical references for gap regeneration and sustainable management of Pinus koraiensis-dominated broadleaved mixed forest.
出处 《安徽农业科学》 CAS 2017年第12期149-151,170,共4页 Journal of Anhui Agricultural Sciences
基金 国家自然科学基金项目(30771708)
关键词 红松阔叶混交林 林隙 0 cm地面温度 地统计学 Pinus koraiensis-dominated broadleaved mixed forest Forest gap 0 cm soil surface temperature Geostatistics
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