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小兴安岭天然林红松活立木腐朽率的调查研究
引用本文:王玉婷,徐华东,王立海,李凤日,孙虎.小兴安岭天然林红松活立木腐朽率的调查研究[J].北京林业大学学报,2015,37(8):97-104.
作者姓名:王玉婷  徐华东  王立海  李凤日  孙虎
作者单位:1.1 东北林业大学工程技术学院;
基金项目:黑龙江省自然科学基金面上项目,国家自然科学基金,中国博士后科学基金资助项目
摘    要:为研究天然林红松活立木腐朽规律,在小兴安岭凉水国家级自然保护区所建立的30hm2固定样地内,选取26个20m×20m的具有不同立地条件的样方。目测观察并记录了样方内129棵红松活立木的腐朽缺陷外部表征指标,包括腐朽节、树瘤、溃伤、朽枝、空洞、子实体等6种,统计了各指标出现的频次、位置和尺寸等信息,并据此估计了调查样方内红松活立木的腐朽率。在此基础上,分析了腐朽率与坡度、坡向、坡位、海拔的关系,重点讨论了腐朽率与胸径(树龄)之间的内在联系。结果表明:综合考虑活立木腐朽外部表征指标能够有效判定林地活立木腐朽状况,这为野外快速估计活立木腐朽程度提供了基础;立地环境因子对红松活立木腐朽率有影响,坡度与腐朽率呈显著负相关,坡向与腐朽率呈极显著正相关,但坡位和海拔与腐朽率的相关性均不显著;红松活立木腐朽率与胸径呈极显著线性正相关;当红松胸径超过60cm(估测树龄230年)时,其腐朽率高达70%以上。 

关 键 词:红松    立木腐朽    腐朽率    立地条件    胸径    腐朽指标
收稿时间:2015-01-16

Field investigation of decay ;rate of Korean pine standing trees in natural forests in Lesser Xing ’ an Mountains
Institution:1.1 College of Engineering and Technology,Northeast Forestry University, Harbin, Heilongjiang, 150040, P. R. China;2.2 School of Forestry,Northeast Forestry University, Harbin, Heilongjiang, 150040, P. R. China;3.3 Liangshui National Nature Reserve, Yichun City,Heilongjiang, 153000,P. R. China.
Abstract:To study the decay status of Korean pine ( Pinus koraiensis ) standing trees in natural forests, we selected and tested twenty six 20 m × 20 m quadrats with different site conditions at fixed sample plots with a total area of 30 ha, located at Liangshui National Nature Reserve, Lesser Xing’ an Mountains. Six external decay indicators for a total of 129 Korean pine standing trees within quadrats were visually observed and recorded, namely swollen knots, swollen bole, canker, rotten branches, hollow and sporophore. The frequency, location and size of each indicator were statistically analyzed and used to estimate the decay rate of sample trees in the quadrats. Based on this, the relationships between decay rate and slope, slope aspect, slope position and elevation were analyzed. Then the relationship between decay rate and diameter at breast height ( DBH) was emphatically discussed. The results showed that the external decay indicators of standing trees could be used to determine the decay status of forest trees, which also provide a potential method to rapidly estimate the decay degree of standing trees. Tree decay rate was influenced by environmental site factors. It correlated with slope negatively at a significance level P<0. 05 and had a very significant correlation with slope aspect ( P <0. 01 ) . However, it was not significantly correlated with both slope position and elevation ( P >0. 05 ) . According to the regression analysis, the decay rate of sample trees presented a highly significantly positive linear correlation with DBH ( P <0. 01 ) , which increased as DBH increased. When the DBH was larger than 60 cm ( the estimated tree age was 230 years) , the decay rate was as high as 70%.
Keywords:Pinus koraiensis  standing tree decay  decay rate  site conditions  DBH  decay indicators
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