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罕山土壤微生物群落组成对植被类型的响应
引用本文:王淼,曲来叶,马克明,李桂林,杨小丹. 罕山土壤微生物群落组成对植被类型的响应[J]. 生态学报, 2014, 34(22): 6640-6654
作者姓名:王淼  曲来叶  马克明  李桂林  杨小丹
作者单位:中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085;中国科学院大学, 北京 100049;中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085;中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085;内蒙古赛罕乌拉国家自然保护区管理局, 赤峰 025150;内蒙古赤峰市巴林右旗环境保护局, 赤峰 025150
基金项目:国家自然科学基金(31170581,30700639)
摘    要:选取分布在中国东北部地区的阔叶林-针叶林-亚高山草甸这一明显的植被垂直带谱来研究植被类型对土壤微生物群落组成的影响。选取5种植被类型-山杨(Populus davidiana)(1250—1300 m),山杨(P.davidiana)与白桦(Betula platyphylla)的混交林(1370—1550 m),白桦(B.platyphylla)(1550—1720 m),落叶松(Larix principis-rupprechtii)(1840—1890 m),亚高山草甸(1900—1951 m),采用磷脂脂肪酸(Phopholipid Fatty Acids,PLFAs)分析方法测定不同植被类型下的土壤微生物群落组成。分别采用主成分分析(Principal Components Analysis,PCA)以及冗余分析(Redundancy Analysis,RDA)来解释单种特征PLFAs的分异以及土壤理化指标与微生物PLFAs指标间的相关性。结果表明不同植被类型下土壤有机碳(SOC)对土壤微生物PLFAs总量,各类群(真菌(f)、细菌(b)、革兰氏阳性菌(G+)、革兰氏阴性菌(G-))生物量以及群落结构影响显著;土壤微生物PLFAs总量及各类群的生物量随土层加深总体上表现降低趋势,G+/G-和f/b分别随土层加深总体上表现升高趋势。不同植被类型下,阔叶混交林土壤PLFAs总量及各类群生物量总体上最高;针叶林比阔叶林下的f/b和G+/G-高;亚高山草甸下低的p H值对有机碳的可利用性有一定的抑制作用,导致f/b和G+/G-的值相对较高。总之,不同植被类型下SOC对土壤微生物群落组成的影响最为显著,而较低的p H对有机碳的可利用性有一定的抑制作用;真菌对植被类型的变化比细菌更敏感,而细菌更易受可利用性养分和p H变异的影响,这对预测不同林型下的土壤微生物群落组成有重要的启示作用。

关 键 词:磷脂脂肪酸(PLFAs)  土壤微生物群落  植被  土壤有机碳(SOC)
收稿时间:2013-02-20
修稿时间:2014-09-16

Response of soil microbial community composition to vegetation types
WANG Miao,QU Laiye,MA Keming,LI Guilin and YANG Xiaodan. Response of soil microbial community composition to vegetation types[J]. Acta Ecologica Sinica, 2014, 34(22): 6640-6654
Authors:WANG Miao  QU Laiye  MA Keming  LI Guilin  YANG Xiaodan
Affiliation:State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Science, Chinese Academy of Sciences, Beijing 100085, China;University of Chinese Academy of Sciences, Beijing 100049, China;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Science, Chinese Academy of Sciences, Beijing 100085, China;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Science, Chinese Academy of Sciences, Beijing 100085, China;SaihanWuLa National Nature Reserve Administration, Chifeng 025150, China;Barin Youqi Environmental Protection Agency, Chifeng 025150, China
Abstract:There is no unifying conclusion among the considerable studies of soil microbial community composition under different vegetation types. We selected a distinct vertical vegetation distribution belt consisting of broad-leaved forests, coniferous forests, and subalpine meadows to study the effect of vegetation types on soil microbial community composition. Soil samples were collected at three different depths (0-5cm, 5-10cm, 10-20cm) from sites of five vegetation types. These sites were distinguished by their dominating vegetation: poplar (Populus davidiana) (1250-1300m), poplar (P. davidiana) mixed with birth (Betula platyphylla) (1370-1550m), birth (B. platyphylla) (1550-1720m), larch (Larix principis-rupprechtii) (1840-1890m) and subalpine meadow (1890-1951m). Soil microbial community compositions under the various vegetation types were determined by phospholipid fatty acid (PLFA) analysis. Ordination of individual PLFA signatures and correlations among soil properties and soil microbial PLFA indicators were analyzed by principal components analysis (PCA) and redundancy analysis (RDA), respectively. The results indicated that total PLFA contents of soil microbial community, biomasses of four main microbial taxa (fungi (f), bacteria (b), gram-positive bacteria (G+), gram-negative bacteria (G-)), and microbial community structure were significantly affected (P < 0.05) by soil organic carbon (SOC) under all vegetations; PLFA contents of total microbial community and main taxa generally decreased as soil depth increased, while G+/G-and f/b increased with soil depth. Among different vegetations, total PLFA contents and main taxa biomass under mixed broad-leaved forests were the highest; f/b and G+/G-under coniferous forests were higher than those under broad-leaved forests; the availability of SOC under subalpine meadows was constrained on some level by the low pH value, which led to a relatively high f/b and G+/G-. In conclusion, the effect of SOC on soil microbial community composition was the most significant of all soil parameters under all vegetation types, though the availability of SOC could be constrained by relatively low pH values on some level; fungi was more sensitive to the changes of vegetation types while bacteria was more sensitive to the variability of nutrient availability and pH. This conclusion could have a significant impact on forecasting soil microbial community composition under different vegetations.
Keywords:PLFAs  soil microbial community  vegetation  soil organic carbon
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