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31.
通过控制好氧区低DO浓度以及缩短好氧实际水力停留时间(actual hydraulic retention time,AHRT),在处理低C/N比实际生活污水的A2/O工艺中,成功启动并维持了短程硝化反硝化;系统亚硝酸盐积累率稳定维持在90%左右,氨氮去除率在95%以上。通过提取富集氨氧化菌(ammonia oxidizing bacteria,AOB)的基因组DNA,经两次常规PCR扩增和琼脂糖凝胶电泳,以纯化回收的DNA扩增片段作为实时荧光定量PCR检测AOB数量的DNA标准品,建立了检测AOB数量的实时荧光定量PCR标准曲线。利用实时荧光定量PCR技术比较了A2/O系统在不同运行条件及亚硝酸盐积累率情况下AOB菌群数量。结果表明,随着系统亚硝酸盐积累率的上升,系统内AOB菌群数量也大幅上升。全程硝化和短程硝化时,系统内的AOB菌群数量分别为5.28×109cells/g MLVSS和3.95×1010cells/g MLVSS。此外,亚硝酸盐积累率的下降相对于AOB菌群数量的下降有一定的滞后性。 相似文献
32.
For many citizens and policymakers, the empirical relationship between economic growth and biodiversity conservation has not been sufficiently established for purposes of identifying the types of economic policies amenable to biodiversity conservation. Some think economic growth conflicts with biodiversity conservation; others think economic growth conduces biodiversity conservation. With panel data from 1997‐2011, encompassing US continental states, we developed a series of statistical models to investigate the relationships among species endangerment, human population, and economic growth as indicated by GDP and per capita GDP. Species endangerment is highly correlated with population and GDP, and per capita GDP is a significant regressor of species endangerment. Across US continental states, competitive exclusion of non‐human species occurs via human economic growth and population growth. 相似文献
33.
慢生花生根瘤菌的遗传多样性研究 总被引:6,自引:0,他引:6
用REP1R1和REP21DNA为引物,对22株四川土著慢生花生根瘤菌染色体DNA的基因外回文重复序列(RepetitiveExtrogenicpalindromicsequenceREP)进行了PCR扩增和凝胶电泳,并对电泳结果的指纹图型进行了相似性聚类分析.结果表明了四川土著慢生花生根瘤菌的遗传多样性.指纹图形是根瘤菌多样性研究中一种简便而有效的方法 相似文献
34.
以铜绿微囊藻(Microcystis aeruginosa)16S rRNA基因片段为靶序列设计一对特异性引物,采用Real-time PCR法,对铜绿微囊藻进行定性、定量检测。试验表明,仅含铜绿微囊藻DNA模板的样品有特异性扩增,扩增产物熔解曲线平稳,峰尖且窄,熔解温度为(87±1)℃。以重组质粒pMD-18T-16S为标准品,检测区间为1.1×102 copies/mL~1.1×108 copies/mL,所得标准曲线符合制备实时定量PCR标准曲线的要求,对标准品进行测定,方法检出限为11 copies/mL。用该标准曲线对实验室培养获得的铜绿微囊藻DNA样品进行定量检测,与显微镜计数结果基本一致。 相似文献
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BRIAN CZECH 《Conservation biology》2008,22(6):1389-1398
Abstract: The conflict between economic growth and biodiversity conservation is understood in portions of academia and sometimes acknowledged in political circles. Nevertheless, there is not a unified response. In political and policy circles, the environmental Kuznets curve (EKC) is posited to solve the conflict between economic growth and environmental protection. In academia, however, the EKC has been deemed fallacious in macroeconomic scenarios and largely irrelevant to biodiversity. A more compelling response to the conflict is that it may be resolved with technological progress. Herein I review the conflict between economic growth and biodiversity conservation in the absence of technological progress, explore the prospects for technological progress to reconcile that conflict, and provide linguistic suggestions for describing the relationships among economic growth, technological progress, and biodiversity conservation. The conflict between economic growth and biodiversity conservation is based on the first two laws of thermodynamics and principles of ecology such as trophic levels and competitive exclusion. In this biophysical context, the human economy grows at the competitive exclusion of nonhuman species in the aggregate. Reconciling the conflict via technological progress has not occurred and is infeasible because of the tight linkage between technological progress and economic growth at current levels of technology. Surplus production in existing economic sectors is required for conducting the research and development necessary for bringing new technologies to market. Technological regimes also reflect macroeconomic goals, and if the goal is economic growth, reconciliatory technologies are less likely to be developed. As the economy grows, the loss of biodiversity may be partly mitigated with end‐use innovation that increases technical efficiency, but this type of technological progress requires policies that are unlikely if the conflict between economic growth and biodiversity conservation (and other aspects of environmental protection) is not acknowledged. 相似文献