多元排序法解析城市空气微生物时空分布

生态学杂志

多元排序法解析城市空气微生物时空分布

王佳楠¹,孟嘉伟²,杨凤霞³,蔡章^3,4,刘杰^3**

(¹南开大学滨海学院环境科学与工程系，天津 300270； ^2天津市地质矿产测试中心，天津 300191； ^3南开大学环境科学与工程学院，天津 300071； ^4Department of Energy and Mineral Engineering, the Pennsylvania State University, University Park, PA 16802, USA)

出版日期:2015-09-10 发布日期:2015-09-10

Temporal and spatial variation of urban airborne microbes analyzed by canonical ordination methods.

WANG Jia-nan¹, MENG Jia-wei², YANG Feng-xia³, CAI Zhang^3,4, LIU Jie^3**

(¹Department of Environmental Science and Engineering, Nankai University Binhai College, Tianjin 300270, China; ²Tianjin Geological Mineral Testing Center, Tianjin 300191, China; ^3College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China; ^4Department of Energy and Mineral Engineering, the Pennsylvania State University, University Park, PA 16802, USA)

Online:2015-09-10 Published:2015-09-10

摘要/Abstract

摘要：

采用自然沉降法测定2012年3月—2013年2月天津滨海地区城市不同功能区的空气微生物浓度。结果显示，该地区空气微生物中细菌占76.5%，真菌占19.4%，放线菌占4.1%；对空气微生物浓度变化进行多元排序分析，结果表明，依据城市功能区的不同，空气微生物在空间上具有明显聚类（5类），46.0%的微生物变异可以被前2轴解释，其中建筑工业区微生物浓度最高，居住区微生物浓度最低；在时间上表现为季节性聚类（3类），78.7%的微生物变异可以被前2轴解释，夏天微生物浓度最高，而冬天最低，空气微生物与温度具有显著的正相关性（P<0.01）；空气微生物在时间尺度上的变化要高于空间尺度上的变化，季节气温的影响要大于采样区功能作用的影响；空气中PM₁₀与SO₂显著正相关（P=0.011），表明天津滨海地区的烟雾属于二氧化硫型。

关键词: 结构多样性, 功能多样性, 环境因子, 庙岛群岛, 物种多样性, 植物群落

Abstract: The natural sedimentation method was employed to monitor airborne microbial concentration of different functional areas in Tianjin EconomicTechnological Development Area (TEDA, Tianjin) from March 2012 to February 2013. The results showed that bacteria were predominant (76.5%), followed by fungi (19.4%) and actinomyces (4.1%). Canonical ordination analysis was performed to elucidate the temporal and spatial distribution of urban airborne microbes. The results indicated that microbes had a dramatically spatial cluster based on urban function (five types of clusters), among which 46.0% of variation could be explained by first and second axis, with the highest microbial concentration in constructing and industrial area and the lowest in residence zone; on the other hand, microbes had a remarkable temporal cluster according to seasons (three clusters), in which 78.7% of variation could be interpreted by first and second axis with the highest microbial concentration in summer and the lowest in winter. Airborne microbial concentration had a significant positive correlation with temperature (P<0.01). The study showed that airborne microbial variation in temporal distribution was higher than that in spatial distribution, illustrating that the effect of seasonality was stronger than that of area function. In addition, the results revealed that PM₁₀ concentration was positively correlated to SO₂ concentration (P=0.011) in TEDA, Tianjin, suggesting SO₂type smog in this area.

Key words: plant community, environmental factor., Miao Archipelago, functional diversity, species diversity, structural diversity

王佳楠1,孟嘉伟2,杨凤霞3,蔡章3,4,刘杰3**. 多元排序法解析城市空气微生物时空分布[J]. 生态学杂志.

WANG Jia-nan1, MENG Jia-wei2, YANG Feng-xia3, CAI Zhang3,4, LIU Jie3**. Temporal and spatial variation of urban airborne microbes analyzed by canonical ordination methods.[J]. cje.

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