北京大气O3与NOx的变化特征

以2004年8月-2005年7月北京市区近地层大气中臭氧(O3)和氮氧化物(NOx)体积分数观测资料,研究了北京大气中O3和NOx体积分数的变化特征.研究表明:北京市O3体积分数较高,并呈季节性波动,大气光化学污染以夏季最为严重.受太阳紫外辐射和城市交通的影响,城市O3体积分数呈单峰型分布,并在午后15:00出现峰值,造成大气强氧化性.NO2的光解速率夏季最大,在正午出现日最大值.受城市车流量变化的影响,周末NOx体积分数高于工作日,O3体积分数周末与工作日白天差异较小,而夜晚O3体积分数上作日高于周末.     

应用油松针叶监测大气二氧化硫污染

承德市油松针叶中硫与大气ＳＯ２浓度之间存在着很显著的相关性（ｒ＝０．７８４１，Ｐ＜０．０１），利用这一相关性对承德市区４２个采样点大气ＳＯ２污染状况进行了生物监测，并绘制了城市大气ＳＯ２污染分布图，基本符合承德市大气ＳＯ２分布规律。     

城市边界层气象条件对O3浓度垂直分布的影响

利用2002年7月21日至26日,北京325m气象塔O3浓度梯度观测资料及同期的气象资料,分析了O3浓度的时空分布特征、超标情况及不同天气条件下,O3浓度的日变化规律;并对7月23日,24日两天出现高浓度污染的大气稳定度和逆温、相对湿度、低空风等边界层气象条件对O3垂直分布的影响进行了详细分析。研究表明:城市边界层气象条件,尤其逆温是影响O3垂直分布的重要因素。     

徐州市区不同季节大气TSP和PM10中PAHs污染特征及健康风险评估

于2009年2月-8月利用高效液相色谱法对徐州市区冬、春、夏3个季节大气TSP和PM10中16种多环芳烃进行分析,结果表明：大气TSP和PM10中∑PAHs不同季节分布规律均为：冬季〉春季〉夏季;冬季,荧蒽污染浓度最高;春季和夏季苯并（g,h,i）芘浓度最高;不同环数PAHs春季和年均值呈规律均为：6环〉4环〉5环〉3环〉2环;夏季为：6环〉5环〉4环〉3环〉2环;冬季为：4环〉5环〉6环〉3环〉2环;大气TSP中整体苯并（a）芘等效致癌毒性（BEQ）不同季节分布规律为：冬季（4.517ng/m3）〉夏季（1.602ng/m3）〉春季（1.413ng/m3）;PM10中整体BEQ不同季节分布规律为：冬季（3.706ng/m3）〉春季（1.504ng/m3）〉夏季（1.331ng/m3）;采暖期大气颗粒物中PAHs污染对人体健康危害风险相对较高。     

中国大气颗粒物中金属元素环境地球化学行为研究

大气颗粒物金属污染已成为目前大气污染的研究热点之一。文章梳理、分析归纳了中国近年来大气颗粒中金属元素的环境地球化学方面的研究。目前研究较多的是Fe、Ca、Mg、Si等地壳元素和Cu、Pb、Cd、Zn、Hg等污染元素;大气颗粒物中对人体有害的Cu、Pb、Cd、As、Zn等污染较严重,而Cr、Mn、Co、Ni等污染较轻。大气颗粒物中金属含量随时间分布变化显著,总体上呈现冬季〉秋季〉春季〉夏季的特点,空间分布上一般北方燃煤城市大于南方一般城市;城市内部一般工业区〉交通区〉居民区〉郊区;金属元素在细粒径颗粒（〈2μm）中高,粗颗粒（〉2μm）中低,尤其以污染元素明显。污染元素与地壳元素的垂直分布规律差异较大。大气颗粒物中金属元素的富集程度与元素种类、区域类型、季节变化、粒径大小等有关。最后,提出应加强大气颗粒物中金属元素空间分布差异、时间分布的尺度及差异性研究;同时加强超细颗粒物的研究,以便建立大气颗粒物金属元素与人类健康关系的风险模型。     

大气中碳氮硫化合物光化学反应的化学耦合作用

从遥远海洋到重污染地区,在很宽的大气条件下,用灵敏度分析法研究了光化学典型产物O3的形成机理及其化学耦合作用,指出了影响形成O3的重要反应,在一些条件下,O3浓度对一些重要化学反应的速率常数的归一化灵敏度系数异号,由于碳、氮化合物的化学耦合作用的非性现象使O3生成增加。大气中一些重要的光化学产物如O3,HNO3,HCHO,H2O2等形成中,DMS的化学耦合是弱耦合。     

成都市城乡结合部大气水中重金属污染特征

通过对成都市城乡结合部的大气水进行定点周期性采集和监测,并采用火焰原子吸收光谱法和原子荧光光度法测定样品中表征大气水样受污染程度的重金属含量,包括Cu、Pb、Fe、Mn、Zn、Cd、Hg、As、Cr等9种重金属元素。分析结果表明,成都市城乡结合部大气水中主要污染重金属元素为Cu、Zn、As、Hg、Fe,其中Hg、As含量在秋冬季以及阴雨雾霾的特殊天气条件下尤其高,东郊监测最高As浓度为12.86mg/L,西郊监测Hg浓度高达17.55mg/L。从区域污染程度上说,西郊大气水重金属污染较为严重,东郊较之稍轻。     

武汉市三类不同大气污染过程下大气污染物特征及潜在源区分析

为了探讨武汉市不同类型大气污染过程中大气污染物变化特征,分析对比了沙尘、秸秆燃烧和霾污染过程中大气污染物(SO2,NO2,CO,O3,PM2.5和PM10)的变化特征及其影响因素。使用HYSPLIT模式计算了不同类型污染过程中气团轨迹,并利用潜在源区贡献(potential source contribution function,PSCF)和浓度权重轨迹(concentration weighted trajectory,CWT)分析方法,揭示了武汉市不同类型污染过程中大气污染物的潜在源区分布及其贡献特性。结果表明,不同类型污染下大气污染物变化不同。沙尘天主要以PM10污染为主,平均浓度为408.8μg/m^3,是干净天的5.9倍,PM2.5/PM10仅为29%。霾过程中主要以PM2.5污染为主,平均浓度为182.8μg/m^3,是干净天的3.7倍,PM2.5/PM10为90.4%。秸秆燃烧过程中大气污染物浓度均不同程度地增加,其中PM2.5、PM10和SO2的浓度分别为100.2μg/m^3,155.4μg/m^3和23.7μg/m^3,是干净天的1.8倍,1.6倍和1.6倍。表明,不同类型污染下大气污染物的日变化不同,不同类型污染过程中大气污染物的潜在源区差异较大。沙尘期间大气污染物的主要潜在源区为安徽、河南南部、沙尘源区的内蒙古和甘肃等地区。霾过程中大气污染物的主要潜在源区为湖南东北部、湖北东部、安徽西南部、浙江西部、江西北部和河南南部。秸秆燃烧过程中大气污染物的主要潜在源区为安徽、江苏西南部和河南东南部。     

近地面O_3含量升高条件下土壤中腐殖质单体儿茶酚转化的放射性~（14）C示踪研究

近地面大气臭氧（O3）含量不断升高对生态环境的影响已引起人们的广泛关注,然而O3含量升高对土壤有机碳的矿化及转化影响却少有研究。土壤有机碳是全球碳循环的重要组成部分,土壤碳库的微小变化将引起大气CO2浓度的显著改变。文章以典型土壤腐殖质单体化合物儿茶酚为代表,利用14C示踪技术,研究了O3含量比当前背景升高约0.15μmol·mol-1时对土壤中腐殖质苯酚类前体化合物的矿化及转化的影响。结果表明,O3含量升高会对土壤中培育12d后儿茶酚的矿化及残留物分布具有显著的影响,而且这种影响程度和规律同土壤有关。O3含量升高促进了黄棕壤中儿茶酚的矿化,增加了儿茶酚残留物在黄棕壤腐殖酸（HA）中的总量,并使残留物在HA中偏向于同大分子结合。O3含量升高对灰潮土中儿茶酚的矿化有抑制作用,但对儿茶酚残留在HA内总量及分布没有显著影响。O3含量升高对儿茶酚在土壤中的稳定性及归趋的影响可能是O3对于微生物活性的抑制作用和O3的直接氧化作用的共同结果。后续工作中应研究土壤腐殖质中其它组份的稳定性及转化对近地面大气O3含量升高的响应,以全面考察O3含量升高对土壤碳库的影响。     

城市工业用煤X荧光分析及重金属元素污染研究

燃煤是成都市重金属污染的一个重要来源,目前对成都燃煤中重金属元素含量与城市环境污染的相关性研究相对较少。文章以成都市城东工业区为研究对象,利用X荧光分析方法对煤样、煤渣、煤灰、表层土、深层土4种重金属元素进行定量分析,探讨了燃煤中重金属含量与城市土壤重金属污染的相关关系。结果表明,(1)成都市工业用煤原产地煤样重金属元素的含量不尽相同,因此,企业需合理选择煤源。(2)土壤重金属元素污染与工业用煤正相关,工业用煤中有害元素含量较高的对当地土壤的污染也比较严重,相反工业用煤中含量较少的元素在土壤中含量也较小。(3)热电厂燃煤对城市重金属污染的行为属性表现为,Pb属于直接污染大气和土壤,而Cu、Zn、Cr富集在煤渣样、煤灰样中在后期造成对城市土壤的污染。     

Rapid,recurring, structured survey versus bioblitz for generating biodiversity data and analysis with a multispecies abundance model

A bioblitz inexpensively and quickly generates biodiversity data, but bioblitzes are often conducted with haphazard, unreplicated sampling. Results tend to be taxonomically, geographically, or temporally biased, lack metadata, and consist of lists of observed taxa that do not enable further analyses or correction for imperfect detection. A rapid, recurring, structured survey (RRSS) uses a structured sampling design and temporal and spatial replication to survey randomly selected sites on a conservation property. We participated in a loosely structured bioblitz and a subsequent RRSS at Big Canoe Creek Nature Preserve in Springville (St. Clair County), Alabama (USA) to compare observed richness derived from the 2 survey approaches. The RRSS data structure enabled us to fit models that accounted for imperfect detection to estimate abundances, occupancy probabilities, and habitat associations. The loosely structured bioblitz data could not be used in such models. We present a new integrated multispecies abundance model that we applied to avian RRSS data. Our model extension enables estimation for the community, employs data augmentation to estimate the number of undetected species, and incorporates covariates. The RRSS generated a more comprehensive and less biased list of observed taxonomic richness than the loosely structured bioblitz (e.g., 73 vs. 45 bird species and 104 vs. 63 insect families from the RRSS vs. loosely structured bioblitz, respectively). Models fit to the RRSS data identified seasonal patterns in avian community composition and allowed for estimation of habitat–occupancy relationships for insect taxa. The RRSS protocol has potential for broad transferability as a standardized, quick, and inexpensive way to inventory biodiversity and estimate ecological parameters while providing an outreach opportunity.     

Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters

Land-use change via human development is a major driver of biodiversity loss. To reduce these impacts, billions of dollars are spent on biodiversity offsets. However, studies evaluating offset project effectiveness that examine components such as the overall compliance and function of projects remain rare. We reviewed 577 offsetting projects in freshwater ecosystems that included the metrics project size, type of aquatic system (e.g., wetland and creek), offsetting measure (e.g., enhancement, restoration, and creation), and an assessment of the projects’ compliance and functional success. Project information was obtained from scientific and government databases and gray literature. Despite considerable investment in offsetting projects, crucial problems persisted. Although compliance and function were related to each other, a high level of compliance did not guarantee a high degree of function. However, large projects relative to area had better function than small projects. Function improved when projects targeted productivity or specific ecosystem features and when multiple complementary management targets were in place. Restorative measures were more likely to achieve targets than creating entirely new ecosystems. Altogether the relationships we found highlight specific ecological processes that may help improve offsetting outcomes.     

A palaeo-hydrogeological model for arsenic contamination in southern and south-east Asia

An argument is presented in which areas of natural arsenic contamination of modern groundwaters throughout Asia have a common origin. Arsenic originally accumulated in oceanic ferro-manganoan sediments of the eastern Palaeo-Tethys. This was further concentrated through oceanic crustal extinction in what later became the south-east Chinese accreted mineralised terrain. Proto-Himalayan uplift of this area created the palaeo-drainage systems of the Ganges – Brahmaputra, Irrawaddy, Mekong, and Red Rivers, with consequent headwater erosion of arsenic-rich sediments. Their downstream deposition as immature and easily redistributed Neogene sandstones, silts, and iron-rich clays has created secondary and tertiary reservoirs of adsorbed and authigenic arsenic, from which the current arsenic-rich groundwaters have evolved. Considering river basins within the above palaeo-hydrogeological framework provides a basis for assessing the risk of arsenic in groundwater basins of south and south-eastern Asia.     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.     

Threats to intact tropical peatlands and opportunities for their conservation

Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza‐Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land‐use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon‐dense (domed pole forest) areas. New carbon‐based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.     

Human Influence and Classical Biogeographic Predictors of Rare Species Occurrence

Biogeographic theory predicts that rare species occur more often in larger, less‐isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non‐native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human‐modified landscapes because such patches may represent the only habitats in which rare species are likely to persist. Influencia Humana y Predictores Biogeográficos Clásicos de la Ocurrencia de Especies Raras     

Seasonal dynamics of macro-algae in the South Lake of Tunis

The macro-algae communities observed in the south lake of Tunis are characterized by the predominance of nitrophilous algae which are in the order of biomass importance:Ulva, Cladophora andEnteromorpha. We have noted seasonal changes of alga distribution. The wind appears to be one of the most important factors influencing this distribution. The total biomass reaches a maximum in the spring. Rapid decomposition of the biomass leads to a severe ecological imbalance, resulting in crises of anoxia and fish death. A restoration project has already started. It aims at removal of contaminated muds and the introduction of a new circulation system. The main objectives of this work were to collect information on the distribution and biomass of the phytobenthic communities as a first step in the constitution of a database for further comparison.     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).     

Parasitic wasps orient to green leaf volatiles

Summary Undamaged plants emit low levels of green leaf volatiles (GLVs), while caterpillar-damaged and artificially damaged plants emit relatively higher levels of certain GLVs. Female braconid parasitoids,Microplitis croceipes, oriented to both damaged plants and to individual GLVs in no-choice tests in a wind tunnel, but seldom oriented to undamaged plants. Female ichneumonid parasitoids,Netelia heroica, also oriented to individual GLVs in a wind tunnel. Males of both wasp species failed to orient to the GLVs. These data show that leaf-feeding caterpillars can cause the release of GLVs, and that parasitic wasps can respond to these odors by flying upwind (chemoanemotactic response), which brings the wasps to their caterpillar hosts. This supports the hypothesis that plants communicate with members of the third trophic level,i.e., plants under herbivore attack emit chemical signals that guide natural enemies of herbivores to sites of plant damage. In this interaction, the GLVs serve as tritrophic plant-to-parasitoid synomones. That parasitoids from two different wasp families oriented to GLVs suggests that the response may be widespread among the Hymenoptera.Mention of a commercial or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture