珠江表层沉积物中有机氯农药含量及分布

为研究珠江地区有机氯农药现阶段的污染水平,本研究于2009年采集珠江地区19个表层沉积物样品,利用高分辨气相色谱与高分辨质谱联用(HRGC-HRMS)检测了9种持久性有机污染物包括六六六、滴滴涕、六氯苯、灭蚁灵、七氯、异狄氏剂、九氯、氯丹和环氧七氯.其中六六六、滴滴涕和六氯苯的含量较高,分别为<0.001—1.98 ng.g-1(干重),<0.01—5.07 ng.g-1(干重)和<0.01—1.54 ng.g-1(干重).对六六六和滴滴涕组分研究发现,珠江地区的有机氯农药残留可能主要来自于历史残留.参照Long等给出的毒性评价标准对珠江采样区进行生态评价发现,滴滴涕类有机氯农药对该区生物可能仍存在生态风险.     

珠江入海口表层沉积物中多氯联苯残留与风险评价

水域沉积物被认为是水环境中多氯联苯(polychlorinated biphenyls,PCBs)主要归宿之一,为了评估珠江三角洲水域环境中PCBs的污染水平及其生态环境影响,于2011年8月至2012年5月,采集并分析珠江八大入海口表层沉积物中PCBs的残留状况。通过对PCBs残留进行调查研究,分析探讨PCBs组成与分布特征、污染风险评价,以期为PCBs给珠三角沿岸海域环境带来的潜在危害评估提供基础资料。采用气相色谱-电子捕获(GC-ECD)法进行检测分析,结果表明:①珠江八大入海口表层沉积物中7种指示性多氯联苯同系物PCB28、PCB52、PCB101、PCB118、PCB153、PCB138和PCB180均有检出,其中PCB52检出率最高,达到100%,质量分数也最大,PCB138和PCB153次之,检出率均为75%,总体表现为低氯取代物质量分数高于高氯取代物,四氯取代物含量占沉积物PCBs总量比例最大;②7种指示性PCBs质量分数总和范围为6.58-47.46μg·kg-1,平均值为24.82μg·kg-1。PCBs含量变化在不同季节有明显差别,最高值出现在2月,最低值出现在8月。空间分布表现为西四口门沉积物中PCBs质量分数高于东四口门(虎门除外);③采用潜在生态危害指数法和加拿大沉积物环境质量标准SQG(sediment quality guideline)方法对珠江入海口多氯联苯污染状况进行初步评价,与国内外水域沉积物相比,珠江入海口表层沉积物中PCBs污染处于较高水平,存在生态污染风险,可能会引起生态负效应,其中磨刀门、崖门、虎门污染较为严重,应加强污染监管。     

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).     

内分泌干扰物在珠三角河水多相中的分配及风险

为探究典型内分泌干扰物(EDCs)在多相体系中的分配作用及其生态风险,利用切向流超滤、固相萃取、气相色谱-质谱联用等分析方法,对珠江广州河段和东江东莞河段水/胶体/悬浮颗粒中的辛基酚(OP)、4-壬基酚(NP)、双酚A(BPA)、雌酮(E1)、17β-雌二醇(E2)、己烯雌酚(DES)、17α-乙炔雌二醇(EE2)、雌三醇(E3)展开了研究。结果发现,约60%的酚类雌激素存在于水相,约30%存在于胶体相,约10%赋存于颗粒相。DES、E2、EE2、E3在所有样品中均未检出。此外,NP、BPA的含量与溶解性有机碳(DOC)和颗粒态有机碳(POC)含量均呈正相关关系。溶解相中OP、NP、BPA、E1的溶解有机碳归一化含量与特定紫外吸收(SUVA254)均呈正相关,表明溶解有机质与EDCs之间可能通过π-π作用相结合,其作用强度与芳香度有关。OP、NP、BPA在颗粒物/水、胶体/水间的原位有机碳归一化分配系数的对数值(log Koc、log Kcoc)分别为:4.41±0.69、4.60±0.32、4.30±0.43和5.35±0.42、5.69±0.50、5.51±0.77,显示出胶体对EDCs有更高的吸附能力。两条河流的风险商数(RQ)在0.39~2.01之间,其中珠江广州河段为高风险区(RQ平均值为1.5),东江东莞河段为中风险区(RQ平均值为0.75),且底层水的风险高于表层水。     

太湖胥口湾表层水和沉积物中多环芳烃的浓度水平及生态风险

多环芳烃(polycyclic aromatic hydrocarbons,PAHs)是环境中普遍存在的稠环类化合物,由于其对人体健康和生态环境产生较大危害,美国环保局将16种PAHs列为优先控制的污染物。PAHs也是太湖流域的主要污染物之一。作为华东地区的重要水系和水源地,研究太湖环境质量的变化对改善太湖流域水生生态系统和提高沿岸居民身体健康具有重要意义。论文研究了太湖胥口湾水域表层水和沉积物的PAHs。结果显示,表层水和沉积物的PAHs总浓度分别为7.2~83 ng·L~(-1)和66~620ng·g~(-1)干重;年均值为29 ng·L~(-1)和218 ng·g~(-1)干重;年均毒性当量浓度为2.4 ng·L~(-1)和28 ng·g~(-1)干重。沉积物中的主要污染物为荧蒽、芘和,影响毒性当量浓度的主要是苯并(a)芘和二苯并(a,h)蒽。4环PAHs在沉积物中占主要,其浓度百分比为44%~48%,而5环PAHs则占毒性当量总浓度的90%以上,说明其危害主要来自5环PAHs。PAHs特征化合物比值分析表明,胥口湾沉积物中PAHs主要来源于煤和木材燃烧,表层水大部分为燃烧和石油的混合来源。污染水平的时空变化特点为丰水期(8月)表层水PAHs浓度偏高,沉积物偏低。湖区和湖岸的PAHs浓度只在丰水期有显著差异,表层水PAHs浓度湖区高于湖岸,沉积物相反;其他时期湖区和湖岸PAHs浓度无显著差异。根据加拿大沉积物环境质量标准,胥口湾整体生态风险水平较低。从时空分布特征来看,个别生态风险较高的点主要分布在湖岸,5月平水期可能是沉积物中PAHs生态风险较高的频发期。     

山东省典型湿地水体和沉积物中全氟辛烷羧酸(PFOA)和全氟辛烷磺酸(PFOS)的污染特征

全氟辛烷羧酸(perfluorooctanoic acid,PFOA)和全氟辛烷磺酸(perfluorooctane sulfonate,PFOS)广泛存在于全球范围内的各种环境介质中,是全氟化合物中最典型的持久性有机污染物.为考察山东省典型湿地中PFOA和PFOS的浓度水平与空间分布特征,采用超高效液相色谱-串联质谱与WAX固相萃取相结合的方法,检测并系统分析了南四湖流域和东部沿海地区水和沉积物体系中PFOA和PFOS含量状况.研究结果表明,PFOA和PFOS在研究区域全部水样中均被检测出,浓度范围分别为10.49—84.6 ng·L~(-1)和0.49—25.4 ng·L~(-1);其中南四湖流域表层水中污染物的含量高于东部沿海地区,并且污染物浓度从下游到上游呈上升趋势.沉积物样品中PFOA和PFOS的浓度范围(干重)分别为0.09—2.76 ng·g~(-1)和0.17—5.25 ng·g~(-1),其空间分布趋势和水样中的大致相同.与国内外其他地区水和沉积物中PFOA和PFOS含量进行对比,山东省典型湿地中两种污染物的污染水平较高且PFOA污染更为严重.与PFOA相比,水和沉积物体系中PFOS的分配系数更高,并且不同区域间的分配系数存在差异.此外,本文采用熵值法对研究区域内两种污染物进行了初步风险评估,分析结果显示PFOA和PFOS对水生生物和野生鸟类可能存在一定的生态风险,且PFOS的风险较高,考虑到全氟化合物的生物累积性和食物链放大效应,应重视PFOA和PFOS的生态风险.     

大辽河表层水中邻苯二甲酸酯分布特征及环境健康风险评价

利用气相色谱-质谱(GC-MS)检测了大辽河表层水中邻苯二甲酸酯类(PAEs)有机污染物的浓度水平,分析其分布特征,并对PAEs类有机污染物的环境健康风险进行了评价。结果表明,大辽河表层水中共检出4种PAEs,其质量浓度范围为n.d.#0.754μg·L~(-1)。4种PAEs类中质量浓度平均值最高的为邻苯二甲酸二异辛酯(DIOP)(0.36μg·L~(-1)),最低的为邻苯二甲酸二甲酯(DMP)(0.01μg·L~(-1))。4种PAEs浓度贡献大小依次为:邻苯二甲酸二异辛酯(DIOP)、邻苯二甲酸二丁酯(DBP)、邻苯二甲酸二乙酯(DEP)、邻苯二甲酸二甲酯(DMP)。DBP浓度基本符合国家地表水环境质量标准(GB3838—2002)。与国内其他水域相比,大辽河表层水中PAEs的污染程度处于较低水平。DMP和DEP的最高值均出现在营口市区最主要的工业和生活污水排污口之一——纱厂潮沟采样点,DBP和DIOP的最高值则分别出现在牛庄大桥和港监潮沟采样点。总PAEs类有机污染物分布趋势为:在工业分布较多的区域及主城区附近水域PAEs浓度较高,大辽河上游区域PAEs浓度相对较低。利用US EPA健康风险评估模型粗略估算,大辽河表层水中PAEs类污染物的非致癌风险指数值低于1。     

抗生素的环境残留、生态毒性及抗性基因污染

抗生素的环境污染与生态毒害问题近年来引起了极大的关注.在总结国内外相关研究基础上,对环境中几种典型抗生素(四环素、土霉素、氯四环素和磺胺类等)的污染源以及在水和土壤环境中的残留与污染水平进行了分析;对抗生素的污染生态毒性最新研究进展给予了评述;对抗生素抗性基因在环境中可能的暴露途径进行了探讨,指出应将抗生素抗性基因作为一类新的环境污染物.鉴于我国抗生素污染的严峻事实,建议应从国家层面上尽快开展有关抗生素环境污染和生态毒害机理的系统研究.     

热解底泥对两种氟喹诺酮类抗生素和双酚A的吸附

将滇池断桥底泥在不同炭化温度(200℃—500℃)下制成热解底泥,用元素分析仪表征其元素组成.以诺氟沙星(NOR)、氧氟沙星(OFL)和双酚A(BPA)为代表化合物,研究人工合成有机污染物在热解底泥上的吸附行为,从而深入了解热解底泥的吸附特性以及其施用对有机污染物的环境行为和风险的影响.结果表明,热解底泥随炭化温度的增加,芳香性升高,极性降低,阳离子交换量降低,对NOR、OFL和BPA的吸附非线性增强.热解底泥的吸附性能比原始底泥更强,随炭化温度的升高,对NOR的吸附依次减弱,对OFL的吸附变化不大,对BPA的吸附依次增强,这与热解底泥极性和阳离子交换量,以及吸附质的极性相关.在原始底泥和热解底泥上,NOR和OFL的吸附均明显强于BPA,这主要因为NOR和OFL与底泥中无机矿物组分可通过阳离子交换作用和阳离子桥接作用使其吸附强于BPA,并且NOR和OFL相比于BPA官能团多且复杂.     

水体和沉积物中毒害污染物的生态风险评价方法体系研究进展

人类活动导致大量毒害污染物进入水体和沉积物,从而对水生生物产生诸多不利影响.开展毒害污染物的生态风险评价,筛选高风险毒害污染物,是毒害污染物风险管控和生态系统保护的基础.对美国和欧盟等发达国家和地区毒害污染物的生态风险评价方法进行了综述.水体和沉积物中毒害污染物风险评价的基本方法首先是采用预测或测定环境浓度(PEC或M...     

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.     

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.     

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.     

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