典型野生食用菌重金属含量及其人体健康风险评价

土壤重金属污染是影响生态环境、食品安全和人体健康的重要因素.云南省土壤重金属背景值较高,且矿产资源丰富、采矿活动频繁,导致土壤重金属含量较高.野生食用菌是高效重金属储积器,云南是中国野生食用菌最大产区.因此,本文以云南省8种典型野生食用菌为研究对象,探究其重金属含量(汞、镉、铅、锌、铜、砷)与分配特征,采用单因子污染指...     

浙江中部经济发达区域流域重金属污染调查与分析

为了解浙江中部经济发达区域流域重金属的污染情况.以东阳市东阳江流域为例,采集该流域37条干支流在丰水期和枯水期的水样,并对典型重金属锌、铜、铅、铬、镉、砷和汞含量进行测定及评价.结果表明:(1)东阳江流域干支流在丰水期和枯水期重金属平均含量排序均为:锌铅铜铬砷镉汞,其中锌、铜和镉含量均未超过地表水Ⅲ类标准,其他重金属均超标且超标率排序为:汞铅铬砷;(2)东阳江上游支流到下游支流的锌、镉、汞变化趋势呈现波峰和波谷交替出现的势态,高峰值出现在东阳市工业园区与经济强镇;(3)内梅罗污染指数指数评价得出,柽溪和绕溪在丰水期和枯水期均达到中度重金属污染水平;(4)健康风险评价法表明,化学致癌物引起的健康风险水平远远大于非致癌物引起的健康风险水平,通过饮水途径引起的健康风险水平大于皮肤接触,该流域致癌物的健康危害顺序:铬砷镉.     

埇桥环境高风险区河流沿岸土壤重金属污染及生态风险评价

以安徽省宿州市埇桥区奎河、沱河岸边2 000 m范围内的9个村庄作为研究区域,在距离河岸500 m、1 000 m、2 000 m处采集表层土壤样品.使用ICP-MS法检测土壤样品中砷、镉、铬、镍、铅、铜和锌7种重金属的含量,并通过单因子评价法、内梅罗污染指数法及潜在生态风险指数法,评价奎河、沱河周边土壤的污染等级和潜在生态风险.共采集土壤样品27个,砷、镉的超标率为100%(27个),锌超标率37.0%(10个),镍超标率29.6%(8个),铜超标率25.9%(7个),铬超标率22.2%(6个),铅不超标.砷、镉、铬、镍、铜、锌的浓度均超过其背景值.单因子评价结果显示镉为中度污染,砷、铬为轻度污染,其他镍、铅、铜、锌4种重金属属于轻微污染范畴.内梅罗综合污染指数结果显示,奎河、沱河周边土壤综合指数为3.1,属于重度污染.奎河、沱河附近土壤的土壤生态风险值为166.8,该地区生态风险等级为强烈风险.评价结果显示该地区土壤存在一定程度的重金属污染,其生态风险已经超过可接受水平,亟待治理.     

广州市蔬菜地土壤重金属污染状况调查及评价

探讨了广州市蔬菜地土壤重金属污染状况,测定了95份土壤样品中铅、镉、铬、砷、汞的含量水平。土壤中铅、镉、铬、砷、汞的含量分别在6.44～153.10mg/kg、0-0.682mg/kg、5.82～101.60mg/kg、0.04～45.36mg/kg、0.01～O.32mg/kg之间。就污染的普遍性而言,铅污染最为普遍,其次是砷污染;就污染的程度而言,镉污染最严重.其次为砷、汞。对比今昔污染变化.广州市土壤污染治理已取得显著成效,但仍需努力。土壤中镉、砷、汞三种元素的变异系数,特别是镉的变异系数较大,这可能预示着点源性污染的存在。     

微小铅锌矿区土壤和植物重金属污染特征及风险评价

对华东某微小型铅锌矿点周边农田土壤和植物进行采样调查,结合不同土壤剖面土壤样品,分析、评价其土壤和植物中重金属的污染特征,并探讨蔬菜中重金属对当地居民的潜在健康风险.结果表明,矿点周边土壤受到不同程度的重金属污染,单因子污染指数法评价结果显示镉的污染程度最严重,所采集的11个土壤样品中有1个样点属中度污染,其余均属重度污染.对污染程度最低的剖面土壤进行分析后发现,研究区内较高的土壤重金属含量主要与采矿活动有关,同时也受到土壤母质的影响.研究区内农作物均受到不同程度的镉和铅污染,长期食用当地生产的蔬菜可引起潜在的人体健康风险,种植桑树(Morus alba)是当地污染农田的合理利用模式之一.     

重庆市居民重金属膳食摄入水平研究

为了解重庆市居民砷、镉、汞的膳食摄入水平,采用分层多级整群随机抽样方法,经城乡经济排序,并按公共营养学要求,选取重庆市1213户居民为调查对象,应用中国总膳食研究方法,采集了当地12类主要食物样品,采用原子吸收分光光度法(AAS)和冷原子吸收分光光度法(CVAAS)测定了砷、镉、汞的含量,并运用FAO/WHO推荐的ADI值/PTWI值评价了居民膳食摄入的健康风险.结果显示,1)蛋类砷含量为允许限量的3.0倍;水果类镉含量为允许限量的2.4倍,汞含量为允许限量的4.0倍;2)各年龄组对砷、汞的膳食摄入量均低于ADI值,对镉的摄入量则大大超过ADI值.谷类和水果是各年龄组人群摄入砷、镉的主要膳食来源,水果类是汞的主要膳食来源;3)农村居民摄入的3种重金属含量均低于城镇居民,城乡居民对砷、汞的摄入量在允许限量ADI值的范围内,但通过食物摄入的镉含量超过了允许限量ADI值,达到ADI值的121%.     

秦岭典型停产关闭锌冶炼企业场地土壤重金属污染特征研究

秦岭作为中国重要的生态屏障,其生态环境保护问题已上升为国家战略。同时,秦岭作为中国贵金属和多金属矿产资源富集区,矿业开采效益巨大。矿山开采和冶炼不可避免带来一定的环境问题,研究矿业生产过程中土壤重金属污染污染特征及其危害对秦岭地区土壤重金属污染修复意义重大。该研究以秦岭地区某一曾从事过燃煤发电和锌冶炼、目前已停产的工业企业场地为研究对象,对土壤中砷、镉、铜、铅、汞、镍和锌7种重金属进行测定,采用Muller地积累指数、潜在生态风险指数和空间分析等方法,对土壤中的重金属元素进行污染特征分析与评价。结果表明,7种重金属在土壤中均有检出,砷、镉、汞、锌的检出最大值为对应土壤污染风险筛选值的1.54、1.29、1.49、2.45倍;在空间上7种重金属浓度均表现出由生产区向四周衰减趋势,砷、铜、铅和锌在土壤表层和深层污染程度表现不均一,镍基本无污染;镉和汞的地累计均值分别为5.72(陕西省)、5.715(国家)和6.74(陕西省)、6.71(国家),潜在生态风险指数分别为2 376.55(陕西省)、2 367.20(国家)和6 400.45(陕西省)、3 148.30(国家),属于严重污染等级且危害程度极强;将所有重金属元素指数累加,生态危害风险级别达到D,该场地生态危害程度极强,需进行严格管控及治理。该研究可为秦岭地区同类型企业土壤重金属污染监测方案的制定提供借鉴,也为构建秦岭区域矿山土壤重金属污染防控体系提供技术支撑。     

湖南典型金属冶炼与采选行业企业周边土壤重金属污染评价及源解析

为了解湖南省典型金属冶炼与采选行业周边土壤重金属污染现状.以30家金属冶炼与采选行业周边表层土壤为研究对象,采用单因子污染指数、内梅罗污染指数、潜在生态风险指数及《农用地土壤污染风险管控标准》(GB15618-2018)评价了土壤镉(Cd)、汞(Hg)、砷(As)、铅(Pb)、铬(Cr6+)、铜(Cu)、镍(Ni)、锌...     

舂陵水衡阳段沉积物重金属污染变化趋势及风险评价

根据2010—2019年舂陵水衡阳段表层沉积物中9种重金属含量,采用地累积指数法及潜在生态危害指数法对沉积物中重金属污染变化趋势及生态风险进行了评价.地累积指数法评价结果表明:沉积物重金属污染程度表现为砷(As)>铜(Cu)>镉(Cd)>锌(Zn)>铅(Pb)>锰(Mn)>汞(Hg)>铬(Cr)>钒(V),As为强污染...     

渤海湾表层沉积物重金属含量及潜在生态风险评价

海洋沉积物中重金属元素的释放可能影响海水质量及海洋生态健康。于2013年8月采集了渤海湾24个点位的表层沉积物,检测了汞、砷、铜、锌、铅、镉、铬7种重金属的含量,并用Hankanson法分析其潜在生态风险。结果表明,渤海湾沉积物中重金属含量均值可达到国家一类海洋沉积物标准(GB 18668-2002),其中汞、砷、铜、锌、铅、镉、铬的浓度分别达到0.03、16.15、23.15、89.45、38.84、0.24和60.60 mg·kg-1。渤海湾不同点位中,表层沉积物重金属含量符合海洋沉积物质量一类标准的占83.3%,其余点位可满足二类标准,超一类标准的点位的主要超标因子是砷和铅。渤海湾重金属的综合生态风险指数达到95.01,属于轻微生态风险等级。不同重金属所产生的生态风险排序为镉汞砷铅铜铬锌,除镉外均属于轻微生态风险等级。镉的潜在生态风险值为47.00,达到了中等生态风险等级,其风险占所有重金属总风险的49.5%。镉的潜在生态风险高与镉的生物毒性较高及其近年来在渤海沉积物中积累速度较快有关。重金属潜在生态风险在河口地区和天津港工业区附近呈现高值,而南部渔业区和远离海岸的中心区的生态风险相对较低,说明近海工业活动和陆源污染排放渤海湾沉积物中的重金属生态风险的主要来源。因而,调整近海的产业结构,严格控制入海河流和近海经济活动的重金属特别是镉的污染排放,对保障渤海沉积物的生态安全至关重要。     

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).