滨海沙地3种人工林表层土壤微生物量及其影响因素

发布时间：2018-03-17 21:29

本文选题：土壤微生物量碳　切入点：土壤微生物量氮　出处：《东北林业大学学报》2017年05期 　论文类型：期刊论文

【摘要】：为探究福建东南沿海不同人工林砂质土壤微生物生物量碳(MBC)和生物量氮(MBN)及其影响因子,以肯氏相思(Acaica cunninghamia)、纹荚相思(Acacia aulacocarpa)和木麻黄(Casuarina equisetifolia)人工林为对象,采用通径分析模型,分析土壤微生物量对土壤理化性质、凋落物和细根生物量的响应。结果显示:3种人工林土壤MBC和MBN质量分数分别为42.60~51.56和5.38~6.88 mg·kg~(-1),且木麻黄的MBC和MBN质量分数均显著高于纹荚相思和肯氏相思(P0.05)。土壤w(MBC)∶w(MBN)为7.49~7.98;微生物碳熵(w(MBC)∶w(SOC))和氮熵(w(MBN)∶w(TN))的变化范围分别为1.09%~1.17%和1.34%~1.50%。Pearson相关分析表明,MBC、MBN质量分数与DOC、SOC、TN、凋落物生物量和细根生物量呈极显著正相关(P0.01)。通径分析表明,影响土壤MBC最重要的因子是细根生物量,其次是SOC;影响土壤MBN最重要的因素是细根生物量,其次是凋落物生物量。3种人工林的MBC和MBN质量分数、微生物碳氮熵与国内多数森林土壤相比均处于较低水平。
[Abstract]:In order to investigate the microbial biomass (MBC) and biomass nitrogen (MBN) and their influencing factors of sandy soil in different artificial forests in southeastern Fujian Province, path analysis models were used to study the artificial forests of Acaica cunninghamia, Acacia aulacocarpaand Casuarina equisetifolia, and Acacia aulacocarpa (Acacia aulacocarpaa) and Casuarina equisetifolia. The effect of soil microbial biomass on soil physical and chemical properties was analyzed. The response of litter and fine root biomass. The results showed that the MBC and MBN mass fractions of soil in three kinds of plantations were 42.60 ~ 51.56 and 5.38 ~ 6.88 mg 路kg ~ (-1) 路kg ~ (-1), respectively, and the MBC and MBN mass fraction of Casuarina equisetifolia were significantly higher than that of Acacia acacia and Acacia Kensoni P0.05. The range of microbial carbon entropy and nitrogen entropy were 1.09% 1.17% and 1.34% 1.50. Pearson correlation analysis showed that MBN mass fraction was positively correlated with DOCSOCTNN, litter biomass and fine root biomass, respectively. Path analysis showed that there was a significant positive correlation between MBN mass fraction and DOC SOC N, litter biomass and fine root biomass (P 0.01). The most important factor affecting soil MBC was fine root biomass, followed by soil MBN, followed by MBC and MBN. Microbial carbon and nitrogen entropy is lower than that of most forest soils in China.
【作者单位】：福建省长乐大鹤国有防护林场;国家林业局杉木工程技术研究中心(福建农林大学);
【基金】：国家自然科学基金项目(31570604,41371269) 福建省林业科技项目(闽林科[2014]2号)
【分类号】：S714.3

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