黄土高原土壤细菌和真菌群落结构及其多样性对菌糠有机肥响应机制研究

为了明确黄土高原农田土壤细菌群落和真菌群落对菌糠有机肥的响应机制,基于高通量测序技术,分析了施用菌糠有机肥和施用化肥(对照)后土壤细菌和真菌群落物种组成、多样性指数、群落结构差异及其主要分异作用的微生物。结果表明,土壤细菌和真菌群落对外源养分的响应机制不同。添加菌糠有机肥改变了土壤细菌菌群的结构,厚壁菌门、奇古菌门相对丰度显著增加,变形菌门相对丰度显著下降;同时对土壤真菌菌群结构也造成一定影响,担子菌门相对丰度有所增加,子囊菌门相对丰度显著降低。细菌群落的Shannon指数和InvSimpson指数均有降低,真菌菌群多样性指数无显著差异;PCA分析显示,施用菌糠有机肥处理与对照处理的细菌菌群结构有显著差异,真菌菌群结构差异不显著;LEfSe分析结果显示,Nitrososphaera、Bacillus、Nonomuraea、Gaiella和Marmoricola是导致两个处理间细菌菌群差异的主要物种,其中Nitrososphaera是参与固氮作用的氨氧化细菌,说明施用菌糠有机肥可以起到加快养分转化的作用。研究成果为有机质含量低、氮素贫乏的黄土高原土壤提供了一种有效的改良和功能提升的措施,为生物有机肥的研发及其在该区域农业生产中的应用提供理论依据。

Spatial Variability of Soil Organic Carbon in a Watershed on the Loess Plateau

Soil organic carbon (SOC) has great impacts on global warming, land degradation and food security. Classic statistical and geostatistical methods were used to characterize and compare the spatial heterogeneity of SOC and related factors, such as topography, soil type and land use, in the Liudaogou watershed on the Loess Plateau of North China. SOC concentrations followed a log-normal distribution with an arithmetic and geometric means of 23.4 and 21.3 g kg-1, respectively, were moderately variable (CV = 75.9%), and demonstrated a moderate spatial dependence according to the nugget ratio (34.7%). The experimental variogram of SOC was best-fitted by a spherical model, after the spatial outliers had been detected and subsequently eliminated. Lower SOC concentrations were associated with higher elevations. Warp soils and farmland had the highest SOC concentrations, while aeolian sand soil and shrublands had the lowest SOC values. The geostatistical characteristics of SOC for the different soil and land use types were different. These patterns were closely related to the spatial structure of topography, and soil and land use types.

Spatial-Temporal Changes of Soil Organic Carbon During Vegetation Recovery at Ziwuling, China

To probe the processes and mechanisms of soil organic carbon (SOC) changes during forest recovery, a 150-yearchronosequence study on SOC was conducted for various vegetation succession stages at the Ziwuling area, in the centralpart of the Loess Plateau, China. Results showed that during the 150 years of local vegetation rehabilitation SOC increasedsignificantly (P < 0.05) over time in the initial period of 55-59 years, but slightly decreased afterwards. Average SOCdensities for the 0-100 cm layer of farmland, grassland, shrubland and forest were 4.46, 5.05, 9.95, and 7.49 kg C m-3,respectively. The decrease in SOC from 60 to 150 years of abandonment implied that the soil carbon pool was a sink forCO2 before the shrubland stage and became a source in the later period. This change resulted from the spatially variedcomposition and structure of the vegetation. Vegetation recovery had a maximum effect on the surface (0-20 cm) SOCpool. It. was concluded that vegetation recovery on the Loess Plateau could result in significantly increased sequestrationof atmospheric CO2 in soil and vegetation, which was ecologically important for mitigating the increase of atmosphericconcentration of CO2 and for ameliorating the local eco-environment.

A New Competitive Adsorption Isothermal Model of Heavy Metals in Soils

A new competitive adsorption isothermal model(CAIM)was developed for the coexistent and competitive binding of heavy metals to the soil surface.This model extended the earlier adsorption isothermal models by considering more than one kind of ion adsorption on the soil surface.It was compared with the Langmuir model using different conditions, and it was found that CAIM,which was suitable for competitive ion adsorption at the soil solid-liquid surface,had more advantages than the Langmuir model.The new competitive adsorption isothermal model was used to fit the data of heavy metal(Zn and Cd)competitive adsorption by a yellow soil at two temperatures.The results showed that CAIM was appropriate for the competitive adsorption of heavy metals on the soil surface at different temperatures.The fitted parameters of CAIM had explicit physical meaning.The model allowed for the calculation of the standard molar Gibbs free energy change,the standard molar enthalpy change,and the standard molar entropy change of the competitive adsorption of the heavy metals,Zn and Cd,by the yellow soil at two temperatures using the thermodynamic equilibrium constants.

农牧交错带典型区土壤氮磷空间分布特征及其影响因素

土壤氮磷在土壤物理、化学和生物过程中扮演着重要角色,明确土壤氮磷含量和空间分布对土壤资源管理和利用具有重要意义.利用经典统计学和地统计学方法对准格尔旗土壤全氮和全磷空间分布特征及影响因子进行研究.结果表明,研究区土壤肥力水平较低,0~100 cm深度土壤全氮和全磷含量加权平均值分别为0.29 g·kg^(-1)和0.26 g·kg^(-1).土壤全氮和全磷的块金效应值分别集中在0.15~0.43和0.34~0.53之间,表明土壤全氮(0~10 cm和80~100 cm除外)和全磷呈中等空间依赖性,空间变异由结构性和随机性因子共同主导.土壤全氮和全磷空间分布特征与土层和元素有关,即使在同一深度,土壤氮磷的空间分布特征亦不相吻合.土壤全氮主要受有机碳的影响,而土壤全磷主要受纬度、海拔、土地利用类型和土壤质地的影响.

原油污染对黄绵土和风沙土水分入渗的影响

原油进入土壤后会堵塞土壤孔隙,影响土壤斥水性,改变土壤水分运动状况。本研究利用土柱模拟的方法,研究了不同原油污染程度(0、0.5%、1%、2%、4%)对黄绵土和风沙土水分入渗过程的影响。结果表明:随着原油含量的增加,两种土壤湿润锋的推进速度和入渗速率均减小,土壤原油污染程度为4%时湿润锋运移到土柱底部的所需时间最长,污染程度为0时湿润锋运移到土柱底部的所需时间最短,黄绵土湿润锋达到土柱底部所需最长时间是最短时间的5倍,风沙土最长时间是最短时间的48倍;当湿润锋运移到土柱底部时,黄绵土的累积入渗量随原油含量的增加而减小,而风沙土的累积入渗量先增大后减小;在高浓度(2%、4%)原油处理下,风沙土的累积入渗量曲线出现"翘尾"现象。Kostiakov入渗模型和Philip入渗模型比Green-Ampt模型能更好地模拟不同原油处理下的黄绵土土壤水分入渗过程,但对风沙土而言,两种模型对低浓度(0、0.5%、1%)原油处理的土壤水分入渗过程拟合较好。原油污染能够显著影响土壤水分入渗过程,且对风沙土的影响更大。