黄浦江上游水源地中31种内分泌干扰物的分布特征以及生态风险评价

本文研究了雄激素、雌激素、孕激素、糖皮质激素和工业化合物等5类31种环境内分泌干扰物(endocrine disrupting chemicals, EDCs)在黄浦江上游水源地中的空间分布特征,并采用风险熵值法(risk quotient, RQ)对水体中EDCs的生态风险进行了评价.黄浦江上游水源地9个采样点糖皮质激素和孕激素均未检出,工业化合物双酚类检出率100%.大多物质最高检出浓度10 ng·L~(-1),而双酚A (BPA)检出浓度最高(26.00—64.32 ng·L~(-1)).黄浦江以工业化合物和雌激素类物质污染为主,BPA为各采样点的主要污染物.莲西大桥EDCs总浓度最高(103.66 ng·L~(-1)),水库入口总浓度最低(40.16 ng·L~(-1)).太浦河上游工业化合物类浓度较下游高,雌激素类最高浓度检出点为汾湖大桥(11.70 ng·L~(-1)).与国内外地表水中EDCs检出浓度比较,黄浦江上游水源地中EDCs处于中低等污染水平.对己烯雌酚(DES)、雌三醇(E3)、BPA、双酚S (BPS)等4种EDCs进行生态风险评价,RQ范围为0.006-2.5,BPS表现出较高的环境风险(RQ=2.5).     

城市污水中典型卤代苯酚分布及其光降解行为研究

卤代苯酚(HPs)是一类广泛存在于水体中的污染物,其在污水处理厂出水中的存在及迁移转化会产生一定的健康和生态风险。探究卤代苯酚在环境中的转化行为非常重要。光降解反应是酚类物质在水体中迁移转化的重要途径,实际水体中的有机质等对卤代苯酚的光降解会产生一定的影响。对大连市区6家污水处理厂出水中卤代苯酚的污染状况进行了调查,结果显示在所有出水中总HPs的浓度范围为77.2~168.6 ng·L-1。在所有检出的卤代苯酚中,五氯酚和2,6-二氯酚浓度较高,且检出频率均为100%,检出浓度范围分别为10.8~166.7 ng·L-1和0.1~72.2 ng·L-1。在模拟太阳光照射条件下,选取2种氯酚和2种溴酚研究它们在污水样品与纯水中光降解行为,从卤原子取代的程度和种类两方面对不同卤代苯酚光降解的规律进行类比,分析了其光降解特性。此外,对比分析了不同污水厂出水的对同种卤代苯酚降解速率的影响,发现出水的p H值、溶解性有机质等因素,都可能影响卤代苯酚的光降解。     

北江中下游内分泌干扰物的空间分布、生态风险及产业相关性

为了解北江中下游内分泌干扰物(endocrine disrupting chemicals,EDCs)空间分布及生态风险,利用LC-MS/MS和GC-MS对北江中下游8个水源地、8个典型种植业下游、5个典型水产养殖业下游及4个大型污水处理厂水样中10种EDCs进行分析.结果 表明,10种目标EDCs有6种低于检出限,仅双酚A、雌酮、辛基酚和壬基酚有检出,其中双酚A、壬基酚为北江中下游中主要EDCs,平均浓度分别为360 ng·L-1和382 ng·L-1.空间分布与影响因素分析表明,宏观因素影响区域EDCs浓度整体水平,水源地中辛基酚与壬基酚分别与第一、第二产业总值有明显相关性;局部浓度水平受产业类型、产品种类与上下游等因素影响,种植业、水产养殖业下游EDCs浓度水平主要受区域种植、养殖面积影响,其次是种植、养殖产品种类,污水处理厂出水EDCs浓度与设计处理量、服务人口呈强烈正相关.生态风险评价显示,双酚A、辛基酚和壬基酚生态风险随流域流向逐渐升高,启示对单位长度河段生态风险的变化率分析有助于确定EDCs污染源头.     

汞在城市污水处理厂的赋存特征及质量平衡——甲基汞

以焦作市第一污水处理厂各工艺单元的进出物料为研究对象,通过样品中甲基汞和溶解态甲基汞含量的测定,初步探讨了甲基汞在污水处理厂物料中的赋存特征和迁移过程.结果发现,污水处理厂进水中甲基汞和溶解态甲基汞的含量分别在6.73—49.53 ng·L-1和0.55—8.14 ng·L-1之间,日均值分别为21.34±13.88 ng·L-1和2.55±2.36 ng·L-1.污水厂外排水中甲基汞含量在0.42—1.15 ng·L-1之间,满足《城镇污水处理厂污染物排放标准》(GBl8918—2002)中规定的烷基汞含量限值(10 ng·L-1)要求.污水厂对原污水中甲基汞和溶解态甲基汞的去除率分别达到了96.3%和85.1%,甲基汞的去除主要发生在二级处理工艺单元(氧化沟+二沉池).与污水厂进水相比,出水中溶解态甲基汞所占甲基汞的比率显著升高(15.4%±11.4%升至48.3%±17.9%)(P<0.001),甲基汞占总汞的比率也有显著升高(1.9%±1.2%升至3.9%±1.2%)(P<0.001).沉砂池、二沉池、浓缩池和压滤机房污泥中甲基汞含量分别为7.65±4.35、13.53±6.54、10.48±8.17、8.80±6.48 ng·g-1,占总汞的比率分别为0.9%±0.5%、0.3%±0.1%、0.2%±0.2%、0.2%±0.1%.各处理单元污泥中甲基汞含量均不稳定,日变异系数均达到了45%以上.污水处理厂进出物料中甲基汞的质量平衡计算表明,每天离开污水处理厂的甲基汞比进入污水处理厂的甲基汞减少了1889 mg,占进水中甲基汞质量的88.5%.甲基汞的损失主要发生在二级处理工艺单元,可能有两个方面的原因,一是甲基汞在氧化沟和二沉池中的吸附和沉积,二是甲基汞在污水处理过程中发生了去甲基化.     

污水处理厂中典型内分泌干扰物的去除效果研究

内分泌干扰物(Endocrine Disruption Chemicals,EDCs)在水中极低浓度下即会引起水生生物生殖发育、神经和免疫系统的异常,对人群的健康危害不容忽视。EDCs在污水厂中具有低浓度、难去除的特点,为进一步阐明污水处理厂不同处理工艺对此类EDCs的去除效果,采用化学分析法(气质联用法)和生物学方法(H295R和MVLN细胞实验法)分析东莞市2个城市污水处理厂中8种典型EDCs的分布特征和去除效果。结果显示,两污水厂进水中壬基酚(Nonlyphenol,NP)、辛基酚(Octylphenol,OP)、双酚A(Bisphenol A,BPA)浓度较高,NP质量浓度分别高达10 782 ng·L~(-1)和2 664 ng·L~(-1),而雌激素类物质雌酮(Estrone,E1)、雌二醇(17β-Estradiol,E2)与雌三醇(Estriol,E3)、17α-乙炔基雌二醇(17α-Ethinglestradiol,EE2)、己烯雌酚(Diethylstilbestrol,DES)浓度较低,经处理后,去除效率均超过90%。两污水厂进水及出水处理后H295R细胞内雌二醇(E2)水平显著升高,睾酮(Testosterone,T)水平呈下降趋势,类固醇合成基因HMGR、CYP11B2和CYP19表达量显著增加。MVLN细胞试验结果显示,两污水厂出水中雌激素当量(Estradiol Equivalency quotient,EEQ)分别达19.25ng·L~(-1)和14.21 ng·L~(-1)。本研究表明,即使化学分析结果显示EDCs去除率高达90%,且出水中雌激素化合物低于检出限,但是出水中类固醇激素干扰活性及雌激素活性依然存在。类固醇激素水平与水中酚类物质浓度没有显著相关性,A、B两个污水厂出厂水中除酚类化合物外,其他产生雌激素效应的化合物或类固醇合成干扰物也不容忽视。     

孕激素左炔诺孕酮长期低剂量暴露对雄性斑马鱼的生殖毒性

孕激素是广泛使用的高生物活性药物,其残留广泛存在于水环境中,对水生生物造成潜在威胁。本论文研究孕激素左炔诺孕酮(LNG)长期暴露对雄性斑马鱼的生殖毒性。将斑马鱼胚胎暴露于环境相关浓度的LNG(10, 33, 100 ng·L~(-1))至性成熟(受精后142 d),得到100%的雄性斑马鱼。将得到的雄鱼与未暴露的雌鱼配对,结果发现100 ng·L~(-1) LNG处理组雄鱼使得未暴露雌鱼产卵的数量较对照组雄鱼使得未暴露雌鱼产卵的数量显著减少。33和100 ng·L~(-1)处理组雄鱼与未暴露雌鱼配对所得子代在受精后7 d内的存活率较对照组雄鱼与未暴露雌鱼配对所得子代的存活率显著降低。33 ng·L~(-1) LNG显著升高总活力、活跃精子活力、平均路径速度、直线运动速度、曲线运动速度等精子活力参数,但其他浓度的LNG并不影响精子的活力。LNG在33和100 ng·L~(-1)的浓度下显著降低雄鱼血浆中11-酮基睾酮(11-KT)的含量,且在3个浓度下均显著降低雄鱼血浆中雌二醇(E2)的含量,但对睾酮(T)无明显影响。此外,LNG暴露可干扰雄鱼大脑和精巢中孕激素受体(npr, mprα, mprβ)、雌激素受体(erα, erβ)以及雄激素受体(ar)的转录,可能通过这些受体途径参与生殖调控。研究结果表明环境相关浓度的左炔诺孕酮长期暴露可导致雄性斑马鱼的生殖内分泌干扰效应,并提示:仅雄鱼单独受孕激素暴露影响,也可能对鱼类种群的生殖产生深远影响。     

天津市污水以及再生水处理过程中的雌/孕激素干扰效应（Estrogen and Progesterone Interference Effect of Sewage and Reclaimed Water Treatment Process in Tianjin）

应用重组基因酵母检测了天津市4个污水处理厂以及2个再生水厂13个水样的雌/孕激素干扰效应.其中3个污水处理厂的进水检出了雌激素诱导活性,最高检测值为10.7ngEEQ·L-1;所有水样均未检测出孕激素诱导活性,但都检测出不同程度的孕激素抑制活性,其中检出了雌激素诱导活性的污水处理厂的进水具有相对较强的孕激素抑制活性.4个污水处理厂均不能完全去除孕激素抑制活性物质,去除率在44%～78%之间.微滤和臭氧氧化两种工艺结合对孕激素抑制活性物质的去除效率略优于MBR反应器.2个再生水厂出水加氯后孕激素抑制活性均有所增强.     

北京市污水厂污泥中的内分泌干扰效应物质

采用重组基因酵母法检测了北京市16个污水处理厂污泥的雌激素、雄激素和孕激素效应.结果表明,各污水厂污泥中均可检测到雌激素受体诱导效应,范围在0.587～6.76ngEEQ·g-(1dw)之间.各水厂污泥均未检测出雄激素诱导效应和孕激素诱导效应,大部分污水厂污泥样品表现出较明显的雄激素抑制效应和较强的孕激素抑制效应.与国外相比,北京市污水厂污泥中的雌激素活性值相对较低.堆肥处理不能有效去除雌激素类物质和孕激素抑制物质,但对雄激素抑制物质的去除明显.     

手性药物的水环境行为、毒性效应及生态风险

药物污染已经成为一个重要的环境问题,目前生产和使用的药物中大部分为手性药物,进入地表水环境后,2个对映异构体在生物降解和生态毒性等方面可能存在显著的差异。本文以8种手性药物为研究对象,系统综述了手性药物在水环境中的暴露特征和降解转化规律,分析其对不同生物靶点的毒性效应和机理,探讨了其对水生态系统的潜在风险。结果表明,8种手性药物在国内外地表水中的检出浓度达到μg·L^-1水平。手性药物在地表水环境中的对映体构成受药物种类、环境条件和时间的影响;布洛芬、普萘洛尔等差异显著的手性药物可以作为污染源示踪的特征污染物;不同污水处理工艺的对映体选择性也有较大差异,导致污水处理厂出水中手性药物对映体分数(enantiomer fraction, EF)值不同。由于手性药物在生物体内发生手性代谢和手性转化,导致体外毒性实验与体内毒性效果差异很大,手性药物在不同水生生物类群体内的受体或生物利用率有所差异,从而表现出不同的立体选择性。基于外消旋体的生态风险评估研究表明,目前布洛芬、卡马西平和萘普生等手性药物对水生生物具有潜在的风险,而不同对映体对水生生物的毒性存在一定差异。因此,有必...     

小清河(济南段)支流内分泌干扰物综合激素效应分布特征研究

应用化学诱导荧光素酶表达基因法(chemical activated luciferase gene expression,CALUX)调研了小清河(济南段)主要支流的多种内分泌干扰物综合激素效应,明确了4类内分泌干扰物的含量水平及分布特征.结果表明,调研河流的二噁英类、雌激素类和肾上腺皮质激素类的年平均毒性当量浓度范围为0.020～0.040 ng 2,3,7,8-TCDD TEQ·L-1、0.007～0.050 ng E2-eq·L-1和1.8～9.6 ng Dex-eq·L-1.二噁英类和雌激素类的含量水平相对较低,雄激素类内分泌干扰物的污染风险较低,肾上腺皮质激素类是其内分泌干扰物污染的最大贡献者.二噁英类检出水平无明显的季节性和区域性差别,雌激素类季节性变化明显,春、冬两季检出率高,肾上腺皮质激素类分布的季节性分布不明显,但区域性分布规律明显,农业区支流的检出频次和含量水平明显低于居民区和商业区支流.     

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.     

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     

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).