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当前位置: 首页 > 文章 > 红松针阔混交林林隙土壤颗粒有机碳和矿物结合有机碳的时空异质性 林业科学 2014,50 (6) 18-27
Position: Home > Articles > Spatiotemporal Heterogeneity of Soil Particulate and Mineral-Associated Organic Carbon of Forest Gaps in Pinus koraiensis Coniferous and Broad-Leaved Mixed Forest Scientia Silvae Sinicae 2014,50 (6) 18-27

红松针阔混交林林隙土壤颗粒有机碳和矿物结合有机碳的时空异质性

作  者：
石亚攀;乔璐;陈立新;段文标;张雪;徐非;刘晓锐
单  位：
东北林业大学林学院
关键词：
红松针阔混交林;林隙;土壤颗粒有机碳;土壤矿物结合有机碳;时空异质性
摘  要：
在黑龙江省伊春市带岭区凉水国家自然保护区原始红松针阔混交林内,选择3个代表林隙作为试验样地,运用网格法布设采样点,在生长季(6—10月)对表层土壤(0~20 cm)颗粒有机碳(POC)和矿物结合有机碳(MOC)含量进行连续测定,采用经典统计学和地统计学相结合的方法,分析土壤POC和MOC的时空异质性。结果表明:土壤POC和MOC含量随月份变化显著,大体呈现出先升后降然后又明显升高的趋势,但MOC变化滞后于POC;土壤POC(CV:50.5%~94.4%)和MOC(CV:31.5%~50.5%)含量均存在空间异质性,其变异均为中等程度变异;方差分析表明,月份对土壤POC和MOC含量均具有极显著影响(P<0.01),而林隙大小对前者影响极显著(P<0.01),对后者影响不显著(P>0.05);结构比[C/(C0+C)]表明,两者均具有强烈的空间自相关性,主要由结构性因素引起;土壤POC和MOC含量空间分布的等值线图显示,它们在研究尺度内呈斑块状或连续分布;POC在林隙中心或近中心位置含量较低,斑块状分布较明显,而MOC分布比POC均匀,且低值中心大多分布在林隙边缘;MOC的空间分布格局随月份的变化比POC相对稳定。
译  名：
Spatiotemporal Heterogeneity of Soil Particulate and Mineral-Associated Organic Carbon of Forest Gaps in Pinus koraiensis Coniferous and Broad-Leaved Mixed Forest
作  者：
Shi Yapan;Qiao Lu;Chen Lixin;Duan Wenbiao;Zhang Xue;Xu Fei;Liu Xiaorui;College of Forestry,Northeast Forestry University;College of Pharmacy,Henan University of Traditional Chinese Medicine;
关键词：
Pinus koraiensis coniferous and broad-leaved mixed forest;;forest gap;;soil particulate organic carbon;;mineral-associated organic carbon;;spatiotemporal heterogeneity
摘  要：
Three representative forest gaps were selected as experimental plots in Pinus koraiensis coniferous and broadleaved mixed virgin forest in Liangshui National Nature Reserve,Dailing District,Yichun,Heilongjiang Province.Sampling points were set up by the grid method,the contents of soil particulate organic carbon( POC) and mineralassociated organic carbon( MOC) in surface soil layer( 0- 20 cm) were periodically measured from June to October during the growing season. Spatiotemporal heterogeneity of POC and MOC were analyzed by the methods of traditional statistics and geostatistics. The results showed that: soil POC and MOC changed significantly over months. Both of them roughly exhibited the following tendency,i. e.,first increasing,then decreasing,after obviously increasing,but the change of MOC lagged behind the change of POC; Both of soil POC( coefficient of variation ranged from 50. 5% to94. 4%) and MOC( coefficient of variation ranged from 21. 0% to 61. 0%) had spatial heterogeneity,their variability fell into moderately spatial variability; Variance analysis showed that month had highly significant influences on soil POC and MOC( P < 0. 01). The forest gap size had highly significant effect( P < 0. 01) on the former,but no significant impact on the latter( P > 0. 05); According to the proportion[C /( C0+ C) ],both of POC and MOC had strongly spatial autocorrelation that was mainly caused by structural factors; Contour maps indicated that POC and MOC in surface soil layer had the characteristics of patchy or continuous distribution; Soil POC was lower in the forest gap center or near the center,patchy distribution was relatively obvious. The distributions of MOC were more even than that of POC,and low-value centers mostly distributed on the edge of forest gaps; The spatial distribution pattern of MOC over different months was relatively stable compared with that of POC.

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