Wu Ze-yan, Lin Wen-xiong, Chen Zhi-fang, Fang Chang-xun, Zhang Zhi-xing, Wu Lin-kun, Zhou Ming-ming, Shen Li-hua
College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Institute of Agroecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Ying Yong Sheng Tai Xue Bao. 2013 Aug;24(8):2301-9.
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.
本文运用Biolog生态板系统,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,天然林的土壤化学性质、土壤酶活性和平均颜色变化率(AWCD)均高于人工林,而撂荒地的这些指标最低。反映土壤微生物活性和功能多样性的AWCD随培养时间的增加而升高,但不同植被类型之间存在显著差异。土壤微生物最常利用的碳源是碳水化合物和羧酸,其次是氨基酸、酚酸和聚合物,而胺类的利用率最低。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总体上高于人工林。主成分分析(PCA)确定了与碳源相关的2个主成分因子,分别解释了56.3%和30.2%的变异。土壤微生物群落利用的碳源因植被类型而异。氨基酸和酰胺是区分这2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。