土壤磷素微生物作用的研究进展

土壤中许多微生物(包括菌根真菌)能够通过产生质子和有机酸溶解土壤不溶态无机磷，通过分泌磷酸酶水解有机磷，但微生物的这种作用受土壤供磷与植物对磷需求间平衡的控制。土壤微生物量中的磷是土壤有机磷最为活跃的部分，由于其周转快、极易矿化为植物有效磷而成为土壤有效磷的活性库。目前，测定土壤微生物量中的磷的方法并不统一，而熏蒸提取法的应用最为广泛。文章阐述了土壤微生物在提高土壤磷素有效性磷中所起的作用，介绍了土壤微生物量中的磷周转及其对土壤磷素有效性调节的重要性，并总结分析了熏蒸提取法测定土壤微生物量中的磷的实用性和局限性。     

活性污泥系统中自养菌浓度及生长动力学参数测定

利用批式呼吸计量法测定了实际污水处理厂厌氧/缺氧/好氧工艺和小试装置厌氧/好氧工艺好氧池内自养菌（X_A）的浓度及其最大比生长速率常数(μ_A)。结果表明,活性污泥系统中X_A与混合液挥发性悬浮固体的比例为1.60%～2.34%,μ_A实测值为0.69～0.76 d^-1,测定结果有较好的重现性,且与文献值非常接近,说明该方法具有较高的准确度和精密度。     

重金属铜、锌、镉、铅复合污染对土壤环境微生物群落的影响

以铜锌冶炼厂附近的水稻土为例 ,研究了重金属复合污染对土壤微生物群落的影响 .结果表明 ,有效铜、锌、镉、铅与微生物生物量碳、微生物生物量氮、微生物商、微生物生物量氮 全氮均呈显著负相关 .重金属污染均能降低细菌、真菌和放线菌的数量 .用BIOLOG生态盘研究了重金属污染对微生物群落结构的影响 ,发现重金属污染明显影响了微生物群落结构 ,反映在典型变量 1(CV1)与重金属元素含量呈极显著正相关 ,因此认为典型变量 1是反映重金属污染程度的有效指标 .经逐步回归分析发现 ,有效铜是影响典型变量 1最主要的因素 .     

Effects of vegetation type on soil microbial community structure and catabolic diversity assessed by polyphasic methods in North China

Soil microbes play a major role in ecological processes and are closely associated with the aboveground plant community.In order to understand the effects of vegetation type on the characteristics of soil microbial communities,the soil microbial communities were assessed by plate counts,phospholipid fatty acid (PLFA) and Biolog microplate techniques in five plant communities,i.e.,soybean field (SF),artificial turf (AT),artificial shrub (AS),natural shrub (NS),and maize field (MF) in Jinan,Shandong Province,North China.The results showed that plant diversity had little discernible effect on microbial biomass but a positive impact on the evenness of utilized substrates in Biolog microplate.Legumes could significantly enhance the number of cultural microorganisms,microbial biomass,and community catabolic diversity.Except for SF dominated by legumes,the biomass of fungi and the catabolic diversity of microbial community were higher in less disturbed soil beneath NS than in frequently disturbed soils beneath the other vegetation types.These results confirmed that high number of plant species,legumes,and natural vegetation types tend to support soil microbial communities with higher function.The present study also found a significant correlation between the number of cultured bacteria and catabolic diversity of the bacterial community.Different research methods led to varied results in this study.The combination of several approaches is recommended for accurately describing the characteristics of microbial communities in many respects.     

淀山湖着生藻类群落结构与数量特征

在１９９３～１９９７－０６间对淀山湖５种沉水植物及人工基质上的着生藻类群落进行了研究。结果表明,沉水植物上着生藻类群落由３７属３９种藻类组成,其中硅藻门１３属１３种,绿藻门１２属１３种,蓝藻门６属７种。５种沉水植物上着生藻类群落密度和生物量,均以黑藻最高,金鱼藻次之,菹草居第３,人工基质（塑料板）介于金鱼藻和菹草之间;并于冬季达全年最高峰,夏季为全年最低。着生藻类生长与沉水植物生长间呈负相关,并限     

Bacterial diversity in soils around a lead and zinc mine

Five samples of soil collected from a lead and zinc mine were used to assess the effect of combined contamination of heavy metals on soil bacterial communities using a polyphasic approach including characterization of isolates by culture method, community level catabolic profiling in BIOLOG GN microplates, and genetic community fingerprinting by denaturing gradient gel electrophoresis of 16S rDNA fragments amplified by PCR from community DNA （PCR-DGGE）. The structure of the bacterial community was affected to a certain extent by heavy metals. The PCR-DGGE analysis of 16S rRNA genes showed that there were significant differences in the structure of the microbial community among the soil samples, which were related to the contamination levels. The number of bacteria and the number of denaturing gradient gel electrophoresis （DGGE） bands in the soils increased with increasing distance from the lead and zinc mine tailing, whereas the concentration of lead （Pb） and cadmium （Cd） was decreased. Heavily polluted soils could be characterized by a community that differs from those of lightly polluted soils in richness and structure of dominating bacterial populations. The clustering analysis of the DGGE profiles showed that the bacteria in all the five samples of soil belonged to three clusters. The data from the BIOLOG analysis also showed the same result. This study showed that heavy metal contamination decreased both the biomass and diversity of the bacterial community in soil.     

Effects of elevated CO2 concentration and nitrogen supply on biomass and active carbon of freshwater marsh after two growing seasons in Sanjiang Plain, Northeast China

An experiments were carried out with treatments differing in nitrogen supply (0, 5 and 15 g N/m²) and CO₂ levels (350 and 700 μmol/mol) using OTC (open top chamber) equipment to investigate the biomass of Calamagrostis angustifolia and soil active carbon contents after two years. The results showed that elevated CO₂ concentration increased the biomass of C. angustifolia and the magnitude of response varied with each growth period. Elevated CO₂ concentration has increased aboveground biomass by 16.7% and 17.6% during the jointing and heading periods and only 3.5% and 9.4% during dough and maturity periods. The increases in belowground biomass due to CO₂ elevation was 26.5%, 34.0% and 28.7% during the heading, dough and maturity periods, respectively. The responses of biomass to enhanced CO₂ concentrations are differed in N levels. Both the increase of aboveground biomass and belowground biomass were greater under high level of N supply (15 g N/m²). Elevated CO₂ concentration also increased the allocation of biomass and carbon in root. Under elevated CO₂ concentration, the average values of active carbon tended to increase. The increases of soil active soil contents followed the sequence of microbial biomass carbon (10.6%) > dissolved organic carbon (7.5%) > labile oxidable carbon (6.6%) > carbohydrate carbon (4.1%). Stepwise regressions indicated there were significant correlations between the soil active carbon contents and plant biomass. Particularly, microbial biomass carbon, labile oxidable carbon and carbohydrate carbon were found to be correlated with belowground biomass, while dissolved organic carbon has correlation with aboveground biomass. Therefore, increased biomass was regarded as the main driving force for the increase in soil active organic carbon under elevated CO₂ concentration.     

多菌种生物膜内各菌种生物量的动力学推定及验证

以Monod模型为基准,推导多菌种生物膜内各菌种生物量的推定模型.以东深供水原水生物预处理工程为研究对象,对生物填料进行静态、批量实验,推算生物膜内亚硝化菌（AOB）和硝化菌（NOB）在生物池内的沿程分布规律及其基质限制条件;进行生物膜内AOB和NOB的培养计数实验及反应器系统出水模拟,验证生物量推定结果.结果表明：多菌种生物膜内AOB和NOB生物量的动力学推定,方法简单、可行;生物膜内AOB和NOB的活性生物量沿池长均呈两头低中间高的特殊分布;膜内AOB和NOB的活性生物量分别占相应总生物量的68.2%～74.2%和25.0%～29.9%;以这些活性的AOB和NOB生物量推定结果进行反应器系统出水模拟效果相当理想.     

生物质燃烧排放PM2.5中无机离子及有机组分的分布特征

为探讨生物质在明火和阴燃两种不同条件下PM_(2.5)及主要成分的排放差异,选取了7种具有代表性的生物质样品(小麦、水稻、马尾松叶、马尾松枝、杂草、玉米、棉花)进行了燃烧实验,并对PM_(2.5)样品中的7种主要水溶性离子(Na~+、NH_4~+、K~+、Ca~(2+)、Cl~-、NO_3~-、SO_4~(2-))及有机碳(OC)、元素碳(EC)、水溶性有机碳(WSOC)、有机酸和左旋葡聚糖(LG)等有机成分进行了分析.结果表明,明火和阴燃条件下PM_(2.5)的排放因子分别为2.82~7.74 mg·g~(-1)和3.24~22.56 mg·g~(-1),阴燃时的排放因子偏高,不同燃料类型也存在一定差异.燃烧排放PM_(2.5)中水溶性离子以Cl~-为最高,占总离子的比例为72%~94%,且与NH_4~+存在显著正相关关系,水溶性离子整体表现为明火条件下的浓度显著高于阴燃条件下的浓度.受阴燃条件下氧气不足的影响,PM_(2.5)中有机组分的浓度表现为阴燃高于明火,进而导致阴燃时PM_(2.5)的排放因子增加.水稻秸秆燃烧烟尘中3种来源特征比值(LG/PM_(2.5)、LG/OC和LG/WSOC)仅为小麦和玉米秸秆燃烧排放相应比值均值的0.34、0.24和0.27倍,表明在不同农作物的收获季节采用上述特征比值进行生物质燃烧来源估算时,应区别对待.     

2020年2月南宁市一次大气PM2.5污染成因分析

2020年1月31—2月2日新冠肺炎疫情期间,广西发生的一次区域性大气PM_2.5污染引发社会关注.以南宁市为例,利用在线气体组分及气溶胶监测系统（MARGA）、颗粒物激光雷达,结合地面气态污染物和气象数据卫星火点和后向轨迹等分析本次PM_2.5污染成因.依据空气质量分指数,将观测过程划分为优、良和污染3个时段.结果表明,污染时段与生物质焚烧相关的K⁺、Cl^-明显升高,K⁺、Cl^-平均浓度分别为优时段的3.6和17.0倍.3个时段8种水溶性离子总浓度占PM_2.5均在30%左右,3种二次水溶性离子浓度之和占8种离子总浓度的比例为83.33%~89.18%,二次无机组分占比高,与秸秆焚烧促进二次转化有关.二次水溶性离子浓度变化趋势与占比不一致,除了与秸秆燃烧排放特征有关,还与不同二次无机离子形成的机制及主要影响因素不同有关.秸秆焚烧火点集中分布在良时段的南宁市及周边城市,良时段秸秆露天焚烧直接排放大量颗粒物、气态污染物等,在污染时段边界层高度明显下降,湿度增加、静风等不利气象条件下积累,是造成疫情期间南宁市大气PM_2.5污染的主因.污染时段南宁市无明显的颗粒物垂直传输过程,近地面主要受到广东、广西北部湾偏南气流影响,区域污染传输小.