论文部分内容阅读
2008年在长白山北坡原始阔叶红松林内选择3块50m×50m样地,采用地统计学方法对表层土壤中木本植物细根生物量及其分布特征进行了定量研究.结果表明:3块样地0～20cm土层中木本植物活细根生物量分别为3.195、1.930和2.058t·hm-2,死细根生物量分别为0.971、0.581和0.790t·hm-2,0～10cm土层中,死、活细根生物量之间无显著相关关系,而10～20cm土层中,二者呈显著正相关关系(r=0.352,P<0.05),死、活细根生物量的实际变异函数大多符合球状理论模型.空间自相关引起的空间异质性占总空间异质性的百分比平均大于70%,各样地活、死细根生物量变程分别为5.2、14.6、9.8m和4.3、20.4、20.1m.采用贝叶斯统计方法对3块样地活细根生物量空间自相关范围进行估计的结果与地统计学方法的统计结果一致.
Three 50m × 50m plots were selected in the native broad-leaved Korean pine forest on the northern slope of Changbai Mountain in 2008 to quantitatively study the fine root biomass and its distribution characteristics of woody plants in topsoil by geostatistics.The results showed that: 3 The fine root biomass of woody plants was 3.195, 1.930 and 2.058 t · hm-2 in 0-20 cm soil layer, and the fine root biomass of dead wood was 0.971, 0.581 and 0.790 t · hm-2, There was no significant correlation between the biomass of dead fine root and fine root in 10 cm soil layer. However, in the 10-20 cm soil layer, there was a significant positive correlation (r = 0.352, P <0.05) Most of the actual variograms fit the spherical theoretical model.The spatial heterogeneity caused by spatial autocorrelation accounted for more than 70% of the total spatial heterogeneity, and the fine and fine root biomass variances were 5.2, 14.6, 9.8m and 4.3, 20.4 and 20.1m. The Bayesian statistical method was used to estimate the spatial autocorrelation range of living fine root biomass of three plots. The result was consistent with the statistical results of geostatistical methods.