应用四种体外消化方法比较研究场地土壤中重金属的生物可给性及其人体健康风险

本研究采用PBET(physiologically based extraction test)、DIN(Deutsches Institut für Normung)、IVG(Invitro Gastrointestinal)和UBM(Unified BARGE Method)等4种体外消化方法,比较8个工矿废弃场地土壤中6种典型重金属的生物可给性并进行健康风险评估分析.结果显示,在4种方法的胃阶段,土壤Co、Ni、Cu、Zn、As和Cd的生物可给性范围分别为1.57%—88.07%、6.69%—129.78%、8.68%—122.62%、18.55%—128.75%、4.17%—61. 14%和32. 22%—118. 44%;小肠阶段分别为0—43. 49%、3. 12%—61. 94%、4. 75%—123. 91%、1.48%—99.02%、5.93%—39.70%和8.48%—67.83%.总体而言,采集的场地土壤中多数重金属生物可给性在各方法的胃阶段均显著高于小肠阶段.土壤重金属在胃阶段的生物可给性分析显示,Co、Ni、Cu和As在UBM和IVG方法中较高,Zn在DIN方法中最高,Cd在UBM和DIN方法中高于其他方法.土壤重金属在小肠阶段的生物可给性分析显示,Co和Ni在UBM方法中最高,Cu在DIN和UBM方法中高于PBET和IVG方法; Zn生物可给性的顺序为DINPBETIVGUBM; As和Cd在IVG方法中均较高.与基于总量的重金属健康风险评估相比,采用生物可给性为评估参数,对8个场地土壤进行的评估分析显示风险水平显著降低,本研究中的场地土壤若采用基于总量的评估方法可能会高估重金属污染的风险.     

硅胶吸附管采样-超高效液相色谱法测定空气中7种苯胺类化合物

建立了空气中苯胺类化合物(ADs)的硅胶吸附管采样-超高压液相色谱分析方法.通过硅胶填料吸附管,以0.5 L·min-1流速采集空气中ADs.采用1 m L含1%氨水的甲醇,对硅胶填料解吸20 min.解吸溶液经0.22μm尼龙滤膜过滤,采用超高效液相色谱法分析,紫外检测波长为250 nm.7种ADs在5 min内实现基线分离,在0.05—2.0 mg·L-1线性相关系数均大于0.999,方法检出限为0.3—4.5μg·m-3(采样体积10 L),在0.05、0.2μg和2.0μg加标水平下,回收率分别为86%—121%、90%—119%和87%—103%,RSD分别为2.2%—4.8%、0.7%—3.6%和1.6%—3.6%.结果表明该方法适用于空气中7种ADs的同时测定.     

牛奶中二噁英测定方法的优化

以国内外文献和研究方法为基础,对比了液液萃取、冷冻干燥+索氏提取以及硅藻土+索氏提取3种方法提取牛奶样品中的二噁英,优化了牛奶中17种2,3,7,8位取代PCDD/Fs的测定方法,建立了冷冻干燥-索式提取-一段法层析柱+凝胶渗透色谱柱净化-高分辨气质联用分析方法.实验结果表明,17种2,3,7,8位取代的PCDD/Fs的方法检出限范围为0.003—0.033 pg·mL-1.空白加标实验中目标化合物回收率为76.0%—103.6%.同位素内标回收率为55.3%—102.7%,RSD范围为3.8%—10.3%.该分析方法准确可靠、灵敏、操作简便,适用于牛奶中二噁英的测定.     

超高效液相色谱/三重四极杆质谱-直接进样分析地表水中硝基酚类化合物

本文建立了一种使用岛津超高效液相色谱仪Nexera X2和三重四极杆质谱仪LCMS-8050联用直接进样分析水中硝基酚类化合物的方法.本方法可在5 min内完成3种硝基酚类化合物分析.采用内标法定量,方法线性范围为0.1—100.0μg·L~(-1),相关系数大于0.998,各浓度回读值准确度在85.8%—112.7%之间.3个浓度下保留时间和峰面积的相对标准偏差(RSD%)分别在0.10%—0.20%和0.85%—3.30%之间.进样2.0μL,方法检出限在0.022—0.034μg·L~(-1)之间,测定下限在0.088—0.136μg·L~(-1)之间.地表水3个不同浓度样品加标回收率在86.7%—94.5%之间.残留实验结果为阴性.     

UHPLC-MSMS测定环境水中的联苯胺

建立了一种使用超高效液相色谱仪和三重四极杆质谱仪联用(UHPLE-MSMS)测定环境水中联苯胺的方法.该方法为直接进样法,样品经0.22μm滤膜过滤后直接进行定量分析.对联苯胺的线性、仪器精密度、方法检出限(MDL)、定量限(LOQ)和加标回收率进行验证.联苯胺的线性良好,相关系数为0.9999;0.5μg.L-1、2μg.L-1和10μg.L-1标准溶液重复6份测试结果显示,其峰面积和保留时间的相对标准偏差分别在0.10%—0.17%和1.01%—4.87%之间,仪器精密度良好;MDL为0.08μg.L-1;LOQ为0.31μg.L-1;加标回收率为89.9%—103.8%.     

噻苯隆在甜瓜和土壤中的残留及消解动态

建立了超高效液相色谱-串联质谱分析噻苯隆在甜瓜和土壤中残留的方法.本方法甜瓜中噻苯隆的平均回收率为90.2%—107.3%,变异系数为3.5%—12.9%;土壤中噻苯隆的平均回收率为81.4%—94.0%,变异系数为3.1%—8.8%.采用田间试验研究了噻苯隆在甜瓜和土壤中的残留动态.结果表明,河南和山东,噻苯隆在甜瓜中的消解半衰期为0.7—1.2d,土壤中的消解半衰期为4.1—7.6d.在甜瓜上使用0.1%的噻苯隆可湿性粉剂,按照最高推荐剂量和最高推荐剂量的1.5倍,施药一次,收获期距最后一次施药35d,噻苯隆在甜瓜和土壤中最终残留量均小于0.001mg.kg-1.说明噻苯隆为低残留,易降解农药.     

血清中二噁英测定方法的优化

以国内外文献及标准方法为基础,优化了血清中17种2、3、7、8位取代的PCDD/Fs的测定方法,建立了同位素内标稀释-索式萃取一段法层析柱净化-高分辨气质联用分析方法.实验结果表明,17种2、3、7、8位取代的PCDD/Fs的方法检出限范围为3.72—14.74 pg.基质加标实验中目标化合物回收率为94.61%—117.14%,标准参考物质SRM1958中PCDD/Fs的多数单体测定结果也在参考值范围内.实际样品同位素内标回收率为66.2%—95.2%,RSD是4.0%—9.0%.该分析方法准确可靠、灵敏、操作简便,适用于血清中二噁英的测定.     

气相色谱-三重四极杆质谱法测定有机肥中邻苯二甲酸酯

建立了气相色谱-三重四极杆质谱测定有机肥中邻苯二甲酸酯(PAEs)的方法.采用超声提取,以正己烷提取样品中的PAEs,提取液经0.45μm滤膜过滤后进仪器测定.实验表明,8种PAEs的平均回收率为78.1%—104.8%,相对标准偏差(n=6)为2.2%—4.8%,方法检出限为10—40μg·kg~(-1).该方法简便、快速、灵敏度高,可用于有机肥中增塑剂的测定.     

同位素稀释气相色谱-高分辨质谱法测定土壤和沉积物中20种多溴联苯

本文建立了土壤和沉积物中20种多溴联苯的同位素稀释气相色谱-高分辨质谱分析方法.样品经索氏提取、多层硅胶柱净化,采用气相色谱-高分辨质谱分析,各组分在10—1000 ng·m L~(-1)范围内线性良好,平均相对响应因子(RRF)的偏差在2.9%—15.1%之间.方法检出限在2.57—135 ng·kg~(-1)之间,批间偏差为1.0%—15.1%.低、中、高的3个加标水平实际样品平均回收率为64.8%±5.5%—156%±7.1%.该方法可用于土壤和沉积物中痕量多溴联苯的检测.     

超声提取辅助浸入式固相微萃取-气相色谱/质谱技术快速检测土壤中的有机氯农药残留

建立了超声提取辅助浸入式固相微萃取-气相色谱/质谱(DI-SPME-GC/MS)方法快速检测土壤中有机氯农残的新方法.该方法可实现分离、富集和进样一体化,减少样品前处理步骤.实验优化了DI-SPME的萃取条件、超声提取条件及GC/MS仪器参数.在优化条件下,9种OCPs在实验浓度范围(20—500 ng·g-1)内,线性关系良好,R2为0.9899—0.9987,方法检出限在0.67—1.76 ng·g-1,加标回收率在80.2%—117.1%,相对标准偏差(n=6)为10.0%—12.0%.结果表明该方法是一种简便快速、绿色环保的分析土壤中OCPs农残的方法.     

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).