长期不同施肥对暗棕壤甲烷氧化菌群落特征与功能的影响

不同施肥方式对我国旱地农田土壤甲烷氧化影响的微生物机制尚不明确.本研究利用PCR-DGGE和实时荧光定量PCR技术,结合甲烷氧化速率和土壤性质测定,探索了长期不同施肥条件下暗棕壤的"土壤性质-甲烷氧化菌群落特征-土壤甲烷氧化速率"关系.结果表明,有机肥和无机肥配施处理显著降低了土壤甲烷氧化速率,降幅为61.2%,而单独施用有机肥或无机肥对暗棕壤甲烷氧化速率的影响不显著;与对照相比,有机肥处理土壤甲烷氧化菌多样性指数增加91.9%,有机肥和无机肥配施处理增加102.5%,而单施无机肥后土壤甲烷氧化菌多样性指数变化不明显;有机肥处理土壤的pmoA基因丰度显著增加,平均pmoA基因丰度为不施用有机肥的12.7倍;土壤甲烷氧化速率与甲烷氧化菌的群落结构和比活性呈显著正相关,相关系数分别为0.363和0.684,但与甲烷氧化菌群落丰度和多样性不相关;甲烷氧化菌的群落结构和比活性与土壤pH值、全氮和有机质含量呈显著正相关.上述结果说明,长期不同施肥可以通过改变暗棕壤的pH值、全氮和有机质含量等土壤性质,改变甲烷氧化菌群落结构和比活性,进而影响土壤甲烷氧化速率;有机肥和无机肥配施土壤甲烷氧化菌多样性和丰度大幅度增加,而甲烷氧化速率却显著降低,说明有机肥和无机肥配施土壤中只有部分微生物发挥了甲烷氧化活性,但有待进一步研究.     

Methanogenic community dynamics in anaerobic co-digestion of fruit and vegetable waste and food waste

A lab-scale continuously-stirred tank reactor (CSTR), used for anaerobic co-digestion of fruit and vegetable waste (FVW) and food waste (FW) at different mixture ratios, was operated for 178 days at the organic loading rate of 3 kg VS (volatile solids)/(m³.day). The dynamics of the Archaeal community and the correlations between environmental variables and methanogenic community structure were analyzed by polymerase chain reactions - denaturing gradient gel electrophoresis (PCR-DGGE) and redundancy analysis (RDA), respectively. PCR-DGGE results demonstrated that the mixture ratio of FVW to FW altered the community composition of Archaea. As the FVW/FW ratio increased, Methanoculleus, Methanosaeta and Methanosarcina became the predominant methanogens in the community. Redundancy analysis results indicated that the shift of the methanogenic community was significantly correlated with the composition of acidogenic products and methane production yield. Different mixture ratios of substrates led to different compositions of intermediate metabolites, which may affect the methanogenic community. These results suggested that the analysis of microbial communities could be used to diagnose anaerobic processes.     

基于SEM模型的热环境时空特征及影响因素分析:以西安都市圈为例

城市热环境是评价城市生态环境的重要指标之一,直接关系到居民健康及城市经济可持续发展,但目前研究缺乏自然和人文多维因子对热环境的影响路径分析.基于西安都市圈2020年MODIS MYD11A2地表温度数据,辅以气象、地表因子和人类活动等数据,综合利用ArcGIS空间地统计分析、冗余分析（RDA）和结构方程模型（SEM）,研究城市热环境在不同季节的时空分布特征,揭示城市热环境的主要影响因素并量化其直接和间接效应.结果表明:①西安都市圈的地表温度呈现北高南低,自城市中心向四周递减的空间格局,夏季热环境污染最严重.②冗余分析表明影响热环境的主要因素为:气温、不透水地表、植被和降水.③SEM结果显示,气象、地表和人类活动因子对城市热环境的直接影响显著并占主导地位,气温、不透水面和兴趣点密度对热环境有显著的直接正效应（0.10~0.33）,水体、降水和植被对热环境有显著的直接负效应（-0.29~-0.25）.人类活动对夜晚地表温度的直接影响力高于地表因子和气象因子,提高经济效益有利于缓解城市热环境效应.以上结果可为城市热岛局地气候变化研究和绿色生态宜居城市环境建设提供科学参考.     

基于流域单元的环巢湖综合景观对河流水质的影响

考虑流域特征差异对河流水质的影响,以巢湖流域为研究对象,根据2019年10月至2020年9月河流监测点水质、气象、地形、土壤与遥感影像等数据,通过数字地形分析划分各监测点的流域单元,综合利用相关性分析、冗余分析以及多元回归分析探究了流域单元的综合景观特征（包括土地利用、气候、地形、土壤等）对环巢湖河流水质的影响.结果表明:①环巢湖河流水质空间差异大,主要污染物为总氮与氨氮,大多数河流总氮浓度超过Ⅴ类水质标准,污染严重的区域集中在合肥市区及周边河流以及丰乐河和杭埠河中下游.②流域单元综合景观特征对河流水质有着显著性影响.其中,建筑用地比例、斑块密度、散布与并列指数、香农多样性指数与水质指标呈正相关,而林草地比例、蔓延度指数与水质指标呈负相关.③在不同季节,流域单元的综合景观特征在湿季对河流水质的影响效应要强于干季,这主要是由干湿季降水的差异引起的.     

抚仙湖浮游植物群落结构、影响因子及水质评价

为研究抚仙湖浮游植物群落结构及其与环境因子的关系。基于2017年4月(春季)、7月(夏季)、11月(秋季)和2018年2月(冬季)抚仙湖浮游植物和部分水质理化指标的监测数据,分析了浮游植物群落结构特征,通过冗余分析(RDA)研究了影响浮游植物群落结构的主要环境因子,同时运用藻类生物学法和综合营养状态指数法TLI(∑)对抚仙湖水质进行综合评价。结果表明,共鉴定出浮游植物7门54属,绿藻在种类组成上占绝对优势。不同季节浮游植物细胞密度存在明显变化,春季细胞密度最高(401.74×10~4 cells/L),其次为夏季(247.31×10~4 cells/L)和秋季(143.41×10~4 cells/L),冬季最低(88.98×10~4 cells/L)。浮游植物优势属在不同季节有所不同,各季节绝对优势属为伪鱼腥藻属(春季)、转板藻属(夏秋季)、小环藻属和蓝隐藻属(冬季)。Shannon-Wiener多样性指数(H′)和Pielou均匀度指数(J)变化趋势一致,夏季值最高,分别为2.76和0.64,冬季值最低,分别为2.13和0.50。Berger-Parker优势度指数(D)变化与H′和J相反,冬季最高(0.945),夏季最低(0.922)。RDA表明,水温、溶解氧和高锰酸盐指数是影响抚仙湖浮游植物群落结构的主要环境因子。综合评价认为,抚仙湖水质处于贫中营养状态。     

Redundancy analysis for characterizing the groundwater quality in coastal industrial areas

Groundwater quality in coastal area has been an issue of interest because of excessive groundwater extraction for human use, for example, industrialization, irrigation, which can lead to saltwater intrusion. The study develops an integrated data analysis procedure based on multivariate statistics principal component analysis (PCA), hierarchical cluster analysis (HCA) and redundancy analysis (RDA), to determine the effects of key environmental conditions on the formulation of groundwater pollutants. This proposed method was demonstrated by analyzing groundwater quality monitoring data collected between 2011 and 2014 from four coastal industrial areas in Changhua county of Taiwan, namely Chuansing, Xianxi, Lukang and Fangyuan industrial parks. First, different environmental conditions in each industrial region were explored by PCA. The spatial hierarchy and spatial distribution of pollutant categories were then identified using HCA with the kriging method. Finally, the effect of environmental conditions on constitutive pollutants were identified with RDA. The three environmental patterns identified from the analytical results in Chuansing, Lukang and Xianxi were the salination factor (including conductivity and general hardness (GH)), water level and redox condition (including dissolved oxygen and oxidation–reduction potential). Fangyuan industrial park had only two patterns, namely salination (including conductivity and GH) and oxygen content (including DO and depth). The pollutant category indicated high concentrations of all pollutants in Chuansing and Fangyuan, and higher concentration of SO₄^2?, TDS, Cl^? in Xianxi, and of NH₃-N, Mn, Fe and TOC in Lukang. According to RDA results, salination caused the high concentrations of NH₃N, Cl^?, TDS in Chuansing, and of Cl^?, TDS and SO₄^2? in Xianxi and Lukang. Additionally, salination caused high concentrations of Fe in both Lukang and Fangyuan industrial parks in combination with those three pollutants. The redox condition was linked to high content of NO₃^? in Chuansing and Lukang, and of TOC in Xianxi. In Fangyuan industrial park, NO₃^? was also linked to high oxygen concentration. In summary, the combination of PCA, HCA and RDA enables the analysis of monitoring data to support policy decision-making.     

甘河着生藻类群落结构及其与环境因子的关系

2018年8月(丰水期),在嫩江支流甘河,调查了19个点位的着生藻类群落结构和水环境特征。并运用聚类分析、Mcnaughton优势度分析和IBD(biological diatom index,硅藻生物指数)3种方法研究了甘河着生硅藻群落结构和优势种清洁状况,使用主成分分析、Spearman相关分析和冗余分析等统计分析方法研究了甘河着生硅藻群落和环境因子的响应关系。结果表明:甘河共鉴定出着生藻类90种(属),以硅藻门、绿藻门和蓝藻门为主,生物量丰富。丰水期甘河水生态环境质量状况较为健康,着生硅藻主要由清洁种构成,其中Achnanthidium minutissimum优势度0.48,为绝对优势种。聚类分析结果表明,甘河采样点位可分为3组;其中组1和组2点位主要位于甘河上、中游,上、中游水质、生境质量较好,健康程度较高,优势种均为清洁种,上游Achnanthidium minutissimum优势度达到了0.64;组3点位均位于甘河下游,下游人为干扰较强,健康程度较其余两组偏低,Nitzschia palea和Nitzschia paleaeformis等耐污种在组3的优势度较高。导致甘河着生硅藻群落清洁度由上游到下游逐渐变差的主要水环境因子为电导率、总磷和高锰酸盐指数,其中影响中游硅藻群落结构变化的主要水环境因子为高锰酸盐指数,影响下游硅藻群落结构变化的主要水环境因子为电导率和总磷。由此可见,着生硅藻群落可以较好的指示甘河流域水体有机污染程度和营养富集程度。     

Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River,northwestern China

The lower reaches of the Heihe River, in northwestern China, is characterised by unique local edaphic conditions that have influenced the development of local desert riparian forests. This study examines the variations in spatial variation patterns to reveal the relationships between plant species diversity and soil moisture/salinity/texture gradients at different soil depths, providing insights into the management and restoration of vegetation in ecosystems in the study area. The species–environmental relationships are investigated by redundancy analysis based on the plant species diversity matrix and the edaphic gradient matrix. A survey of 61 sampling plots identified 37 plant species in the study area. The distribution pattern of the plant species diversity are mainly affected by soil moisture, soil salinity, and soil texture at different soil depths. These edaphic factors are able to explain 98.47% of the total variation in the analysed vegetation dataset. Soil moisture, salinity, and texture content vary in terms of both the soil depths and the vegetation types in the study area. The plant community Class IV, xeric shrub, has the lowest soil water content among different vegetation types. The surface soil salinity differs for different plants and follows the order: Sophora alopecurides?>?Tamarix chinensis?>?Populus euphratica.     

黄渤海海域秋季营养盐及有色溶解有机物分布特征

本文利用2013年11月黄渤海海域航次采集的海水样品,对该海域有色溶解有机物(CDOM)、营养盐等的组成、来源、分布特征和主要环境影响因子进行了分析研究.通过三维荧光光谱-平行因子分析法(EEMs-PARAFAC)对CDOM进行分析,共鉴别出2类4种荧光组分:类腐殖质组分C1(325/410 nm)、C2(275,370/435 nm)、C3(270,395/495 nm)和类蛋白质组分C4(290/340 nm).3种类腐殖质组分在黄渤海海域各层的平面分布均为由近岸向远岸逐渐递减.黄海表层和渤海中层类蛋白质组分荧光强度在近岸和远岸海域均出现极大值,而其在渤海表底层及黄海中底层的分布呈现由近岸到远岸逐渐降低的趋势.各层CDOM高值区主要分布在近岸海域.渤海表层溶解无机氮(DIN)和溶解有机氮(DON)浓度高于底层浓度,底层溶解无机磷(DIP)浓度高于表层浓度.渤海DIN呈现由近岸到远岸逐渐降低的趋势,DIP由曹妃甸近岸海域及中部海域的高值区向北部、东部和南部海域逐渐降低的趋势,DON则呈现由渤海中部偏南海域的高值区向四周逐渐递减的趋势.黄海底层DIN和DIP浓度高于表层,而表层DON浓度最高.黄海表中层DIN和DIP呈现由近岸到远岸逐渐降低的趋势,底层DIN和DIP则呈现由近岸到远岸逐渐增加的趋势,DON呈现由近岸到远岸逐渐降低的趋势.渤海DIN、DON和DIP的总体浓度均高于黄海.将4种荧光组分(C1~C4)、吸收系数(a_(355))、溶解有机碳(DOC)与叶绿素a(Chl-a)、盐度(S)、溶解氧(DO)、DIN、DON、DIP进行冗余分析,结果表明黄渤海各荧光组分(C1~C4)主要受陆源输入的影响,DOC受陆源与海源的共同影响,但陆源影响较大.渤海DIN受陆源输入的影响较大,而DON受海源影响较大;黄海DIN受陆源和海源共同影响,而DON主要受陆源输入影响.黄渤海DIP均受陆源和海源共同影响.