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作 者:王树堂[1,2] 韩士杰[1] 张军辉[1] 王存国[1] 徐媛[1] 李雪峰[1] 王树起[1]
机构地区:[1]中国科学院沈阳应用生态研究所,沈阳110016 [2]中国科学院研究生院,北京100049
出 处:《应用生态学报》2010年第3期583-589,共7页Chinese Journal of Applied Ecology
基 金:中国科学院知识创新工程重要方向项目(KZX2-YW-416);国家自然科学基金项目(40930107)资助
摘 要: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.Geostatistic method was applied to study the spatial distribution of woody plant fine root biomass in a natural broad-leaved Korean pine (Pinus koraiensis)mixed forest soil in Changbai Mountain. The investigation was carried out in three selected plots, sized 50 m×50 m, in 2008. In the three plots, the living fine root biomass in surface soil (0-20 cm) was 3.195, 1.930, and 2.085 t·hm^-2, and the dead fine root biomass was 0.971, 0.581, and 0.790 t ·hm^-2, respectively. In 0-10 cm soil layer, the living fine root biomass had no correlation with the dead fine root biomass; but in 10-20 cm soil layer, a significant positive correlation was found between them (r=0.352,P〈0.05). The variograms of living fine root biomass and dead fine root biomass could be well fitted by spherical model. Spatial variation explained more than 70% of the total variance of fine root biomass across three plots. The regressed ranges were 5.2, 14.6, and 9.8 m for living fine root biomass, and 4.3, 20.4, and 20.1 m for dead fine root biomass in plots 1, 2, and 3, respectively. For comparison, Bayesian method was also used to estimate the ranges for the fine root biomass. The results obtained by geostatistic method and Bayesian method were consistent with each other.
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