山西省河流湿地植被的维管束植物区系研究

在野外记名样方调查法和标本鉴定基础上,对山西省河流湿地植被的维管束植物区系组成和地理成分进行了统计分析.结果表明:山西省河流湿地植被有维管束植物449种,隶属于209属、65科.草本植物在温地植被的植物组成中占绝对优势,共计415种,占总种数的92.43％.从属、种区系成分来看,温带分布类型和以温带分布为主的属、种分别为107属和216种,占总属数的51.19％和总种数的48.11％,这充分体现了山西省河流湿地植物区系的温带性质.     

木糖氧化无色杆菌及混合菌群对多环芳烃的降解特性

采用木糖氧化无色杆菌及混合菌降解水中多环芳烃。考察了木糖氧化无色杆菌的降解广谱性及其对多环芳烃混合底物的降解,特别考察了混合菌对具有弱致癌性的■(Chrysene)的降解特性。结果表明,木糖氧化无色杆菌具有较宽的降解谱,对多环芳烃混合底物具有良好降解特性。当蒽、菲、芘和■4种PAHs共存时,木糖氧化无色杆菌对蒽、菲、芘和■的降解效率分别达83%、66%、85%和80%。与单一木糖氧化无色杆菌相比,混合菌对的降解效率较高。尖镰孢菌与木糖氧化无色杆菌、茄镰孢菌与木糖氧化无色杆菌和3株菌同时共存时,■的降解效率分别达87%、88%和86%。     

陇东油田井场油泥微生物处理应用

为解决石油开采及油井措施作业过程中原油散落井场产生油泥,污染井场周围土壤、水体、空气的现状,文章介绍了一种针对生态环境脆弱的陇东油田井场油泥微生物处理技术,可以实现对井场油泥环保、经济、有效处理。     

Optimising herbicide dose: a straightforward approach to reduce the risk of side effects of herbicides

Public concern of possible effects of pesticides on human health and the environment has lead to an increased pressure on farmers to optimise their use of pesticides. Reducing pesticide doses below the recommended doses whenever possible is a straightforward approach to reduce the risk of adverse side effects. To adopt this approach decision-making has to be improved. The parameters to consider optimising herbicide doses are: weed flora and growth stage, crop competitiveness, climatic conditions, application technique, formulation/adjuvant and combination with other pesticides. In Denmark this information is provided to farmers through the decision support system ‹Plant Protection Online’. Based on input on weed species and densities, climatic conditions, soil type, crop cultivar and expected yield ‹Plant Protection Online’ will provide farmers with optimum herbicide solution usually with doses lower than standard recommended doses.     

自固定化微生物降解工业废水中的2-氯苯甲酸

经微生物自固定化的反应器启动快,只需1周时间COD去除率即稳定在86％以上,而接种一般污泥的对照反应器至少需4周时间才能达到该效果;且经微生物自固定化的反应器能够稳定地降解含易降解基质(葡萄糖)的混合配水,2-氯苯甲酸与总COD去除率均稳定在90％左右。对处理含单一基质和混合基质废水的膜生物相观察表明：二者差异很大,前者以球状菌为主,同时也有大量的短杆菌;后者主要以丝状菌为主,同时也有相当数量的球菌、杆菌。     

Comparative Estimation of Floristic Diversity in Protected Natural Areas

A method for estimating floristic diversity at the species, genus, and family levels and the taxonomic structure of the flora of protected natural areas is proposed. The method is illustrated using the example of three nature reserves located in the Northern, Middle, and Southern Urals. The dependence of the characteristics of the regional floras on their positions in the system of botanical–geographic zones, the size of the protected area, and other factors have been studied in these reserves. The proportion of endemic plants and the degree of flora synanthropization have been determined.     

Syntaxonomy of Southern Ural Forests as a basis for the system of their protection

Using the example of Southern Ural forests, it is shown that the Braun-Blanquet method is promising for estimating the efficiency of the system of specially protected natural areas (SPNAs) and drawing up guidelines for its further development. In particular, evidence is provided that forests of the unions Aconito-Piceion and Lathyro-Quercion are protected quite insufficiently. Proposals concerning organization of new SPNAs are formulated.     

辛基酚聚氧乙烯醚混合菌的构建及响应面优化

为提高辛基酚聚氧乙烯醚（OPnEO）的生物降解效果,在本实验室已筛选出的H1、TXBc10、OPQb11、TXBa23四株OPnEO高效降解菌的基础上,首次从构建OPnEO混合菌的角度,着重探究了四菌株等比例不同组合降解OPnEO的效果.结果表明,混合菌L9（H1：TXBc10：TXBa23为1：1：1）培养7d后对初始浓度500mg/LOPnEO的降解率最高,达到56.44%,比各单一菌株降解效果有较明显提高.运用单因素试验考察了影响L9的相关因素,初步确定L9降解OPnEO的最适外加碳源和氮源分别为葡萄糖和胰蛋白胨,最适初始pH值为7.0,最适温度为28℃,最适接种量为4%.Plackett-Burman试验筛选获得影响OPnEO降解率的3个显著因子为L9接种量、温度及初始pH值.最陡爬坡试验逼近3个显著因子的最大响应区域,采用Box-Behnken试验设计及响应面法分析,确定L9的最优降解条件为50mL反应体系中接种量4.16%、温度28.20℃、初始pH值7.13、葡萄糖与胰蛋白胨浓度均为2%、OPnEO初始浓度500mg/L、180r/min培养7d,该条件下混合菌L9对OPnEO降解率达62.15%,比未优化条件提高了5%左右.     

云南地区中国种子植物特有属的研究

物种特有现象的研究具有重要的区系地理学和保护生物学意义。利用大尺度的植物物种分布信息,探讨了云南地区中国种子植物特有属的科、属组成,区系性质及其地理分布格局。结果表明,云南地区拥有中国种子植物特有属125属,分属于59科,共含种子植物246种,是中国种子植物特有属的重要分布地区之一。含特有属较多的科主要为菊科Compositae、苦苣苔科Gesnefiaceae、伞形科Umbelliferae、禾本科Gramineae和唇形科Labiatae。从各属所包含的物种数来看,单型属占主体地位。根据科的分布区类型构成,云南地区中国种子植物特有属主要起源于热带地区。从属的生活型构成来看,主要以草本植物属为主,而木本植物属所占比重相对较小,暗示着研究区域内特有属的区系兼有年轻成分和古老成分,但以年轻成分为主。从空间分布格局来看,特有属主要分布在“田中线”以东地区。与过去的研究结果不同,我们发现云南地区拥有3个重要的特有属分布中心和3个次级分布中心。     

Factors Associated with Alien Plants Transitioning from Casual, to Naturalized, to Invasive

Abstract:  To explain current plant invasions, or predict future ones, more knowledge on which factors increase the probability of alien species becoming naturalized and subsequently invasive is needed. We created a database of the alien plants in seminatural habitats in Ireland that included data on taxonomy, invasive status, invasion history, distribution, and biological and ecological plant characteristics. We used information from this database to determine the importance of these factors in increasing the ability of species to become naturalized and invasive. More specifically, we used two multiple logistic regressions to identify factors that distinguish naturalized from casual alien plant species and invasive from noninvasive, naturalized alien species. Clonal growth, moisture-indicator value, nitrogen-indicator value, native range, and date of first record affected (in order of decreasing importance) the probability of naturalization. Factors that distinguished invasive from noninvasive species were ornamental introduction, hermaphrodite flowers, pollination mode, being invasive elsewhere, onset of flowering season, moisture-indicator value, native range, and date of first record. Incorporation of phylogenetic information had little influence on the results, suggesting that the capacity of alien species to naturalize and become invasive evolved largely independently in several phylogenetic lineages. Whereas some of the variables were important for both transitions, others were only important for naturalization or for invasion. This emphasizes the importance of studying different stages of the invasion process when looking for mechanisms of becoming a successful invasive plant, instead of simply comparing invasive with noninvasive alien species. Our results also suggest that a combination of species traits and other variables is likely to produce the most accurate prediction of invasions.