文章摘要
不同盐渍化程度下滨海盐渍土有机碳矿化规律
Soil organic carbon mineralization of coastal soils with different salinity levels
投稿时间:2018-10-29  
DOI:10.13254/j.jare.2018.0297
中文关键词: 黄河三角洲,滨海土壤,盐渍化,有机碳矿化
英文关键词: Yellow River delta, coastal soil, salinization, soil organic carbon mineralization
基金项目:山东省自然科学基金项目(ZR2016DQ05,ZR2017BD012);山东省重大科技创新工程项目(2017CXGC0301);中国博士后科学基金项目(2016M602169,2018M632702)
作者单位E-mail
郝存抗 土肥资源高效利用国家工程实验室, 山东农业大学资源与环境学院, 山东 泰安 271018  
周蕊蕊 土肥资源高效利用国家工程实验室, 山东农业大学资源与环境学院, 山东 泰安 271018  
鹿鸣 土肥资源高效利用国家工程实验室, 山东农业大学资源与环境学院, 山东 泰安 271018  
王会 土肥资源高效利用国家工程实验室, 山东农业大学资源与环境学院, 山东 泰安 271018  
胡国庆 土肥资源高效利用国家工程实验室, 山东农业大学资源与环境学院, 山东 泰安 271018 gqhu@sdau.edu.cn 
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中文摘要:
      为探明滨海盐渍土有机碳的矿化特征及控制因子,在黄河三角洲滨海地区距海由远及近的方向上,采集6种不同盐渍化程度的土壤(距海最近的盐渍土BZ1和BZ2为“光板地”盐渍土,BZ3~BZ6均为农田盐渍土)进行室内培养,测定土壤有机碳的矿化速率,分析土壤理化性质、微生物量、细菌真菌比值等指标与土壤有机碳矿化特征的关系。结果表明:滨海盐渍土的盐渍化程度在距海由远及近的方向上呈升高趋势,其中“光板地”盐渍土BZ2的盐渍化程度最大。在255 d的培养期内,各盐渍土有机碳矿化速率随时间的动态变化均为对数函数关系(P<0.01),表现为培养前期矿化速率较快、中期显著下降、后期趋于平缓,其中“光板地”盐渍土BZ1、BZ2有机碳矿化速率显著小于农田盐渍土BZ3~BZ6(P<0.05)。土壤有机碳累积矿化量随时间的动态变化可以用一级动力学方程拟合(P<0.01),拟合结果表明,不同盐渍化土壤的潜在可矿化碳(C0)差异显著,“光板地”盐渍土的C0值显著低于农田盐渍土(P<0.05)。相关性分析表明,土壤有机碳累积矿化量与土壤有机碳(SOC)、全氮(TN)、微生物总量呈显著正相关(相关系数分别为0.975、0.954、0.893),与全盐(TS)呈显著负相关(相关系数为-0.813);土壤TS与SOC、TN和微生物总量呈显著负相关(相关系数分别为-0.838、-0.876和-0.843),而与细菌真菌比值的相关性不显著(相关系数为0.784)。研究表明,不同盐渍化程度下滨海盐渍土的有机碳矿化规律显著不同,土壤盐分可能是通过影响土壤微生物量、碳氮固持能力来控制滨海盐渍土有机碳的矿化特征,而土壤微生物群落结构的变化对土壤有机碳矿化的影响不显著。
英文摘要:
      In order to accurately evaluate the SOC(soil organic carbon) mineralization characteristics of different salinized soils in the Yellow River delta, and their controlling factors, six salinized soils with different salinization levels(BZ1 and BZ2 were bare land soils, BZ3~BZ6 were farmland soils) were collected from sample sites at different distances from the sea, and the SOC(soil organic carbon) mineralization rate was determined by laboratory thermostatic incubation. The results showed that the salinization levels of the six soils tended to increase in line with the proximity of their respective sample sites to the sea. During the 255-day incubation period, the relationships between mineralization rates of SOC and duration of incubation in all the treatments fitted the logarithmic function equation(P<0.01), and the SOC mineralization rates of the bare land soils were much lower than those of the farmland soils(P<0.05). The dynamic variation of the cumulative SOC mineralization with incubation time fitted the first-order kinetics equation(P<0.01). The simulation results showed that SOC mineralization potentials differed significantly between the different salinized soils, and that SOC mineralization potentials of bare land soils were much lower than those of farmland soils(P<0.05). The correlation analysis showed that SOC mineralization was significantly positively correlated with SOC content, total nitrogen(TN) content, and microbial biomass(correlation coefficient:0.975, 0.954, and 0.893, respectively), and was significantly negatively correlated with soil total salt content(correlation coefficient:-0.813). There were significant negative correlations between soil total salt content and SOC, and TN and microbial biomass(correlation coefficients:-0.838, -0.876, and -0.843, respectively), while there was no significant correlation between soil total salt content and ratio of bacteria to fungi(correlation coefficient:0.784). Soil salinity may control SOC mineralization by affecting microbial biomass, or by affecting soil C and N sequestration. However, we did not find any significant influence of microbial community structure on SOC mineralization in this study.
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