摘要
【目的】研究不同土地利用方式对土壤微生物群落多样性结构的影响。【方法】在小区域内选择了具有明显关联性的林地、农用地和撂荒地作为研究对象,采用磷脂脂肪酸(PLFA)分析方法探讨了土地利用方式转变对微生物数量和群落结构的影响。【结果】(1)3种不同土地利用方式的土壤共检测出9种PLFA,不同层次土壤PLFA含量均表现为林地>农用地、撂荒地;(2)在3种土地利用方式中土壤含量最高的生物标记物是C16:0、C18:2n6c、C18:0、C16:1n9c,指示细菌分布量最大,其次是真菌,说明土壤中特征微生物相对生物量存在明显差异;(3)土壤PLFA与土壤理化性指标相关性分析表明,土壤微生物量与土壤有机碳(SOC)、C/N达到极显著正相关,而全氮(TN)、p H则相关性不大。【结论】随着土地利用方式的转变,土壤微生物活性会产生相应的变化。此外,土地利用方式转变过程中,微生物群落结构仍然有一定的相似性;且随着土壤剖面的深度增加,PLFA呈现减少的趋势。
【Objective】The aim of the study was to explore how land use change affect soil microbial community structure. 【Method】Three representative land use covers,such as forest land,cultivated land and abandoned land were selected in this research. Additionally,phospholipid fatty acid（PLFA）method was used to measure soil microbial community.【Result】（1）9 types of PLFAs were detected from three land use covers. Total PLFAs showed an order of forest landcultivated land or abandoned land：（2）The biomakers of C16：0,C18：2 n6 c,C18：0 and C16：1 n9 c were highest in three land use covers.Bacteria was the largest dominant group,followed by fungi and heavy pyrolysis hydrogen coli,indicating that there was significant differences in relative biomass of soil microorganisms：（3） Correlation analysis between soil PLFA and soil physico-chemical indicators showed that soil microbial biomass was significantly and positively correlated with soil organic carbon（SOC） and C/N,but not with total nitrogen（TN）and p H.【Conclusion】Soil microbial activity varied with land use change. In addition,microbial community structure still has some similarities among three land use covers. PLFA biomarkers decreased with an increase in soil profiles.
作者
杜家颖
涂成龙
盛茂银
崔丽峰
陈琢玉
张林楷
DU Jia-ying;TU Cheng-long;SHENG Mao-yin;CUI Li-feng;CHEN Zuo-yu;ZHANG Lin-kai(School ofKarst Science,Guizhou Normal University,Guiyang 550001,China;State key laboratory of Geochemistry Environment,Institute of Geochemistry,Guiyang 550081,China;The Bureau of Land and Resources Kaiyang,Kaiyang 550308,Guizhou,China)
出处
《四川农业大学学报》
CSCD
北大核心
2018年第3期350-356,共7页
Journal of Sichuan Agricultural University
基金
国家自然科学基金项目(41261058)
贵州省科学技术基金重点项目(黔科合基础[2016]1414)
