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《Journal of Northeast Forestry University》 2017-05
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Microbial Biomass and Its Influence Factors in Topsoil of Three Different Plantations on A Sandy Coastal Plain

Lin Yu;Hu Huangtian;Qiu Lingjun;Lin Sizu;He Zongming;Zhang Yong;Huang Zheng;Huang Xiuyong;Changle Dahe State-owned Protection Forest Farm of Fujian Province;State Forestry Administration Engineering Research Center of Chinese Fir,Fujian Agriculture and Forestry University;  
The experiment was conducted to study the effect factors of soil microbial biomass carbon(MBC)and nitrogen(MBN)of different plantations on a sandy coastal plain area in southeast Fujian,China.With three different plantations(Acacia cunninghamia,Acacia aulacocarpa,and Casuarina equisetifolia),the path analysis model was used to analyze the response of soil microbial biomass to soil physical and chemical properties,litter biomass(LB),and fine root biomass(FRB).The contents of MBC and MBN in the topsoil(0-10 cm depth)of three plantations were 42.60-51.56 and 5.38-6.88 mg·kg~(-1),respectively,with the C.equisetifolia plantation being the highest and higher than Acacia plantation(P0.05).The ratio of MBC to MBN was 7.49-7.98,that of MBC to SOC(Soil organic carbon)was 1.09%-1.17%,and that of MBN to TN(Total nitrogen)was 1.34%-1.50%.By correlation analysis,the MBC and MBN contents were significantly positively correlated with soil dissolved organic nitrogen(DOC),SOC,TN,LB,and FRB,respectively(P0.01).By path analysis,the FRB was the most important factors affecting MBC,followed by SOC,and the FRB was the important factors affecting MBN,followed by LB.Therefore,the MBC and MBN contents,MBC-to-SOC and MBN-to-TN of plantation soil under sandy coastal plain area were lower than those in the other area of China.
【Fund】: 国家自然科学基金项目(31570604 41371269);; 福建省林业科技项目(闽林科[2014]2号)
【CateGory Index】: S714.33
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2 CAO Ziyue;YAO Cheng;LI Zhijia;ZHONG Li;GU Weiqi;College of Hydrology and Water Resources,Hohai University;National Cooperative Innovation Center for Water Safety &Hydro-Science of Hohai Universtiy;;DEM-based quantitative analysis of average peak time lag of Dabie-South Auhui mountain area[J];湖泊科学;2017-03
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