文献类型：期刊文献

中文题名：川西亚高山不同林龄云杉人工林土壤微生物群落结构

英文题名：Soil microbial community structure in Picea asperata plantations with different ages in subalpine of western Sichuan,Southwest China

作者：罗达[1,2] 刘顺[1] 史作民[1,3] 冯秋红[4] 刘千里[5] 张利[5] 黄泉[5] 何建社[5]

第一作者：罗达

机构：[1]中国林业科学研究院森林生态环境与保护研究所,国家林业局森林生态环境重点实验室,北京100091;[2]新疆林业科学院经济林研究所,乌鲁木齐830063;[3]南京林业大学南方现代林业协同创新中心,南京210037;[4]四川省林业科学研究院,成都610081;[5]阿坝州林业科学技术研究所,四川汶川623000

年份：2017

卷号：28

期号：2

起止页码：519-527

中文期刊名：应用生态学报

外文期刊名：Chinese Journal of Applied Ecology

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2017_2018】；PubMed;

基金：中央级公益性科研院所基本科研业务费专项(CAFYBB2014MA004);国家重点研发计划项目(2016YFC0502104-02)资助~~

语种：中文

中文关键词：云杉人工林;森林恢复;土壤微生物群落;磷脂脂肪酸

外文关键词：Picea asperata plantation; forest restoration; soil microbial community; phospholipid fatty acid.

分类号：S714.2

摘要：以川西亚高山云杉人工林林地土壤为对象,采用磷脂脂肪酸(PLFA)法研究了4种不同林龄(50、38、27和20年)的人工林土壤微生物多样性和群落结构特征.结果表明:随着林龄的增加,土壤有机碳和全氮含量逐步增加;土壤微生物Shannon多样性和Pielou均匀度指数则呈现先增后减的趋势.土壤微生物总PLFAs量、细菌PLFAs量、真菌PLFAs量、放线菌PLFAs量以及丛枝菌根真菌PLFAs量均表现为随林龄的增加而增加.主成分分析(PCA)表明,不同林龄人工林的土壤微生物群落结构之间存在显著差异,其中,第1主成分(PC1)和第2主成分(PC2)共同解释了土壤微生物群落结构总变异的66.8%.冗余分析(RDA)表明,对土壤微生物群落结构产生显著影响的环境因子分别为土壤有机碳、全氮、全钾以及细根生物量.随着人工造林时间的延长,土壤肥力和微生物生物量增加,森林生态系统的恢复进程稳定.
The effects of four Picea asperata plantations with different ages （50-, 38-, 27- and 20- year-old） , in subalpine of western Sichuan, on the characteristics of soil microbial diversity and mi- crobial community structure were studied.by the method of phospholipid fatty acid （PLFA） profiles. The results showed that, with the increase of age, the contents of soil organic carbon and total nitro- gen gradually improved, while Shannon＇ s diversity index and Pielou＇ s evenness index of soil mi- croorganisms increased at first and then decreased. The amounts of microbial total PLFAs, bacterial PLFAs, fungal PLFAs, actinobaeterial PLFAs, and arbuscular mycorrhizal fungal （AMF） PLFAs in soils consistently increased with increasing age. The principal component analysis （PCA） indica- ted that the soil microbial communities in different plantations were structurally distinct from each other. The first principal component （PC1） and the second principal component （PC2） together accounted for 66.8% of total variation of the soil microbial community structure. The redundancy analysis （RDA） of soil microbial community structure and environmental factors showed that soil or- ganic carbon, total nitrogen, total potassium, and fine root mass were the key determinants influencing the microbial community structure. Our study suggested that, with the extension of artificial afforestation time, the soil fertility and microbial biomass were enhanced, and the restoration processes of forest ecosystem were stable.