[Characteristics of soil microbial community under different vegetation types in Wuyishan National Nature Reserve, East China].

[Characteristics of soil microbial community under different vegetation types in Wuyishan National Nature Reserve, East China].
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DOI:
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发表时间:
2013-08
期刊:
Ying yong sheng tai xue bao = The journal of applied ecology
影响因子:
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通讯作者:
Zeyan Wu;Wen-xiong Lin;Zhi-fang Chen;C. Fang;Zhi-xing Zhang;Lin-kun Wu;Ming-ming Zhou;Liguo Shen
Zeyan Wu;Wen-xiong Lin;Zhi-fang Chen;C. Fang;Zhi-xing Zhang;Lin-kun Wu;Ming-ming Zhou;Liguo Shen
中科院分区:
其他
文献类型:
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作者:
Zeyan Wu;Wen-xiong Lin;Zhi-fang Chen;C. Fang;Zhi-xing Zhang;Lin-kun Wu;Ming-ming Zhou;Liguo Shen

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利用Biolog Ecoplate系统,研究了武夷山国家级自然保护区不同植被类型下土壤微生物群落的结构和功能多样性,旨在探讨植被类型对土壤微生物群落多样性的影响。结果表明,天然林土壤化学性质、土壤酶活性和平均显色度(AWCD)均高于人工林,废弃地最低。反映土壤微生物活性和功能多样性的AWCD随着培养时间的增加而增加,但不同植被类型之间存在显着差异。土壤微生物利用的碳源最多的是碳水化合物和羧酸,其次是氨基酸、酚酸和聚合物,胺类利用率最低。天然林的辛普森指数、香农指数、丰富度指数和麦金托什指数整体高于人工林。主成分分析 (PCA) 确定了与碳源相关的 2 个主成分因素,分别解释了 56.3% 和 30.2% 的变化。土壤微生物群落利用的碳源随植被类型的不同而不同。氨基酸和酰胺是分隔两个主成分因子的两个主要碳源。本研究结果可为进一步探讨植被多样性与土壤微生物群落多样性之间的关系提供依据。
By using Biolog Ecoplate system, this paper studied the structure and functional diversity of soil microbial community under different vegetation types in Wuyishan National Nature Reserve, aimed to probe into the effects of vegetation type on the diversity of soil microbial community. The results showed that the soil chemical properties, soil enzyme activities, and average well color development (AWCD) were higher in natural forest than in planted forest, and were the lowest in abandoned field. The AWCD reflecting soil microbial activity and functional diversity was increased with increasing incubation time, but there existed significant differences among different vegetation types. The carbon sources mostly used by soil microbes were carbohydrates and carboxylic acids, followed by amino acids, phenolic acids and polymers, and amines had the lowest utilization rate. The Simpson index, Shannon index, Richness index and McIntosh index in natural forest were holistically higher than those in planted forest. Principal component analysis (PCA) identified 2 principal component factors in relation to carbon sources, explaining 56.3% and 30.2% of the variation, respectively. The carbon sources used by soil microbial community differed with vegetation types. Amino acids and amides were the two main carbon sources separating the 2 principal component factors. The results of this study could provide basis for further approaching the relationships between vegetation diversity and soil microbial community diversity.