Effects of Invasive Plants on Arthropods

Non‐native plants have invaded nearly all ecosystems and represent a major component of global ecological change. Plant invasions frequently change the composition and structure of vegetation communities, which can alter animal communities and ecosystem processes. We reviewed 87 articles published in the peer‐reviewed literature to evaluate responses of arthropod communities and functional groups to non‐native invasive plants. Total abundance of arthropods decreased in 62% of studies and increased in 15%. Taxonomic richness decreased in 48% of studies and increased in 13%. Herbivorous arthropods decreased in response to plant invasions in 48% of studies and increased in 17%, likely due to direct effects of decreased plant diversity. Predaceous arthropods decreased in response to invasive plants in 44% of studies, which may reflect indirect effects due to reductions in prey. Twenty‐two percent of studies documented increases in predators, which may reflect changes in vegetation structure that improved mobility, survival, or web‐building for these species. Detritivores increased in 67% of studies, likely in response to increased litter and decaying vegetation; no studies documented decreased abundance in this functional group. Although many researchers have examined effects of plant invasions on arthropods, sizeable information gaps remain, specifically regarding how invasive plants influence habitat and dietary requirements. Beyond this, the ability to predict changes in arthropod populations and communities associated with plant invasions could be improved by adopting a more functional and mechanistic approach. Understanding responses of arthropods to invasive plants will critically inform conservation of virtually all biodiversity and ecological processes because so many organisms depend on arthropods as prey or for their functional roles, including pollination, seed dispersal, and decomposition. Given their short generation times and ability to respond rapidly to ecological change, arthropods may be ideal targets for restoration and conservation activities. Efectos de las Plantas Invasoras sobre los Artrópodos     

芦苇基和污泥基生物炭对水体中诺氟沙星的吸附性能

以芦苇秸秆和市政污水处理厂污泥为原料,在500℃的条件下制备了芦苇基和污泥基生物炭.利用比表面积测定法(BET)、扫描电镜(SEM)、能谱分析(EDS)和红外光谱(FTIR)研究了生物炭的结构与性质,并通过单因素实验研究p H、吸附时间、温度、诺氟沙星(NOR)初始浓度对吸附效果的影响,初步讨论了吸附机制.结果表明,NOR在芦苇基和污泥基生物炭上的吸附在12 h分别达到总吸附量的70%、60%以上;芦苇基和污泥基生物炭对NOR的饱和吸附量分别为2.13 mg·g-1和2.09 mg·g-1;降低溶液p H有利于NOR的吸附;生物炭对NOR的吸附行为符合准二级动力学方程,其等温吸附曲线符合Langmuir方程.对吸附过程吉布斯自由能(ΔG)、焓(ΔH)以及熵(ΔS)的计算证明生物炭对NOR的吸附是自发的吸热反应;红外光谱分析表明,生物炭上较多含氧官能团为NOR的吸附提供了吸附点,有利于NOR分子与生物炭间形成作用力较强的氢键,氢键为NOR吸附在生物炭上的主导作用力.     

秸秆及磁性秸秆吸附剂对废水中亚甲基蓝的去除行为及机理

以水稻秸秆(RS)为对象,通过化学沉淀法负载Fe_3O_4以制备秸秆负铁(RS-Fe)复合材料.同时,采用MBET、SEM、FTIR、XRD、XPS、VSM技术对RS、RS-Fe进行表征,研究了秸秆及复合材料对溶液中亚甲基蓝(MB)的去除效果,考察了固液比、溶液初始pH值对亚甲基蓝吸附效果的影响,并结合吸附动力学、吸附等温线、仪器表征及官能团封闭实验探究其作用机理.结果表明,吸附剂投加量为4.0 g·L~(-1)较合适;pH在3.0～11.0内,RS对MB去除率均在90%以上,碱性条件下有利于亚甲基蓝的高效去除.RS和RS-Fe对亚甲基蓝的吸附符合拟二级动力学模型.RS对亚甲基蓝的去除符合Langmuir模型,而RS-Fe对亚甲基蓝的去除更适合用Freundlich模型描述.FTIR、XPS和官能团封闭实验分析表明,秸秆表面官能团能在亚甲基蓝吸附过程中发挥重要作用,其中,羧基和氨基更为重要.秸秆对亚甲基蓝的吸附机理包括静电作用、氢键和π-π作用.Fe_3O_4的引入减少了秸秆官能团数量,降低了对亚甲基蓝的吸附量,但能实现快速固液分离.因此,RS具有作为亚甲基蓝染料废水吸附剂的潜力.负铁RS有利于提升固液分离效果.     

深水型水库藻形态功能组(MBFG)的季节演替特征

以藻类形态功能组(morphologically-based functional groups,MBFG)藻种在光学显微镜下的形态特征为基础,对具有相同形态特征的藻种进行分组,形成了面向藻类集群形态属性的功能组别.为了解藻类形态功能组在研究深水型水库藻类变化规律中的应用及藻类演替特征,于2011年8月至2013年7月对西安市金盆水库进行采样分析,采用形态功能组分类方法对金盆水库中检测出的藻类进行了分类,结合冗余分析探讨了藻类形态功能组演替及其与环境因子间的相互关系.结果表明,黑河金盆水库中的藻类可以分为5个形态功能组别:Ⅱ、Ⅳ、Ⅴ、Ⅵ、Ⅶ;水库中春夏季多种藻类形态功能组共存,秋冬季藻类形态功能组结构较为单一;在沿水深的纵向演替过程中,各形态功能组的生物密度随水深的增加而减少;在影响形态功能组演替的各个环境因子中,温度对水库表层藻类形态功能组Ⅳ和Ⅵ影响较大;表层以下各研究水层,TN的质量浓度为藻类形态功能群组Ⅵ的显著影响因素.     

西藏花岗岩体含矿性的判别

西藏自治区花岗岩类十分发育．共有200多个岩体，可分成5个花岗岩带。由同熔型花岗岩与改造型花岗岩成带分布，组成对花岗岩带。本次利用玉龙等7个斑岩型铜矿岩体的18个样品及7个不含铜矿岩体的18个样品作为判别基础，建立了两个判别函数，然后对其它本知岩体样品进行判别．以确定它们含斑岩型铜矿的可能性。经对全区125个岩体310件样品多组逐步判别的结果，有42个岩体具含斑岩铜矿的可能性。     

活性炭催化剂上SO2转化活性中心的研究

研究了用不同原料及不同方法制备的活性炭催化剂物化性质变化及其与SO_2转化为SO_3的催化活性的关系。结果表明,催化剂的活性主要取决于其表面性质,而与其孔结构等物理性质无明显关系。XPS和TPD结果认为,催化剂表面上存在有五种数量不等的基团,即(酮基),(烯酮基),其中,含氧基团=C=O为SH_2转化为SO_3的活性中心,可以经改质手段使糠醛渣活性炭上该基团数量增加,从而可提高催化活性。     

Greening the Congressional record: environmental social movements and expertise-based access to the policy process

ABSTRACT

A new dataset of organizational testimony at U.S. Congressional hearings on environmental protection is used to examine how social movement organizations use issue expertise to gain access to the policy process. Environmental movement organizations (EMOs) are shown to testify in greater numbers at hearings that consider proposed legislation, compared to hearings that are exploratory or investigatory in nature. The increased representation at legislative hearings is unique to EMOs; other kinds of organizations do not obtain similar increases in legislative access. These findings suggest that, due to their scientific expertise and perceived legitimacy, EMOs receive privileged access to the policy process relative to other organizations affected by environmental policy and at a later stage than has been proposed by prior work examining social movement access to the policy process.     

A model for the evolution of communal foraging in hierarchically structured populations

A kin selection model is described for populations in which groups of interacting individuals (trait groups, sensu Wilson 1975) are spatially situated within larger aggregations. The model predicts the optimal foraging strategy when resources are shared with other trait group members and there is an individual risk in foraging. The ecological mechanism of variation in group fitness, differential resource accumulation, is explicitly incorporated into the model. The optimal foraging rate obtained from this model depends on the product of a benefit-to-cost ratio and a relatedness parameter. The appropriate definition of relatedness for the evolution of communal foraging is determined by the details of the ecological interaction between consumers and resources. When competition is purely intra-specific, the genetic correlation among interactants relative to other members of the local aggregation defines the relatedness parameter applicable to selection on foraging propensity. When competition is primarily inter-specific, the genetic correlation among trait group members relative to the entire population defines relatedness.     

多收入阶层CGE模型在能源资源税改革效应分析中的应用研究

开展能源资源税改革效应分析,是评估环境政策改革在环境效益、经济效率和公平效应上是否实现共赢目标的基础工作.通过细分社会核算矩阵中的居民收入组账户,构建面向多收入阶层的CGE模型,有利于量化环境税费领域改革产生的效应.经模拟测算得到,中国能源资源税改革将对GDP、部门总产出和社会总消费等主要宏观经济指标带来负面影响,但均在可接受范围内.微观层面上,居民收入组内的可支配收入和消费支出则受到不同程度的负面影响.