地衣芽孢杆菌(Bacillus licheniformis)对 Cr6+的吸附动力学研究

从污染土壤中分离出地衣芽孢杆菌(Bacilluslicheniformis),利用其死菌体对Cr6 溶液进行吸附动力学研究.在Ci=300mg/L、pH=2.5和θ=50℃条件下,吸附120min获得最大吸附量60.5mg/g.应用Langmuir和Freundlich吸附等温线研究,结果表明,Langmuir吸附等温线更为适合.动力学研究显示,地衣芽孢杆菌对Cr6 的吸附动力学可以用拟二级速度方程进行描叙.图3表4参14     

生物吸附剂-海黍子吸附镍

采用生物吸附剂-海黍子对重金属镍离子进行吸附，做了动力学实验，得到了海黍子吸附镍的动力学方程。研究了溶液的pH值，初始Ni^2 浓度等因素对Ni^2 的吸附特性的影响，得到最佳pH值4～6及最大吸附量0．8283mmo1／g，并用Langmuir和Freundlich方程对吸附等温线进行了拟合，用Langmuir方程拟合相关系数R^2达0．999以上。     

花生壳吸附Pb^2＋、Cu^2＋、Cr^3＋、Cd^2＋、Ni^2＋的动力学和热力学研究

以花生壳为生物吸附剂,通过序批式实验研究了吸附剂投量、吸附时间、金属离子初始质量浓度、吸附温度对吸附金属离子的影响,探讨了花生壳吸附的动力学及热力学特性。结果表明,准二级动力学方程能很好地描述花生壳对Pb^2＋、Cu^2＋、Cr^3＋、Cd^2＋、Ni^2＋的吸附过程。Langmuir模型和Freundlich模型均能较好地描述花生壳对5种重金属离子的等温吸附过程,而Langmuir模型拟合的线性更好。Pb2＋、Cu2＋、Cr3＋、Cd2＋、Ni2＋5种金属离子的最大吸附量分别是32.25、7.09、3.82、2.95、2.22 mg.g-1,花生壳可用于处理低质量浓度多种重金属混合的废水。热力学研究表明,花生壳对5种金属离子的吸附具有自发、吸热和熵增的特性。     

苯胺-2,4-二氨基酚共聚物吸附水中Hg(Ⅱ)的动力学和热力学研究

利用化学氧化法合成苯胺-2,4-二氨基酚共聚物,通过静态吸附实验研究了该共聚物吸附水中汞离子的动力学和热力学.对实验数据采用准一级和准二级动力学方程、Langmuir等温线方程、Freundlich等温线方程进行拟合,并进行相应的热力学分析.研究结果表明,苯胺-2,4-二氨基酚共聚物对水中Hg(Ⅱ)具有很好的去除效果,最大吸附容量达800mg·g-1,吸附等温线符合Langmuir单层吸附模型;动力学过程符合准二级动力学模型;吸附焓变化量ΔH=58.51kJ·mol-1,表明该吸附反应为化学吸附且为吸热反应;三种实验温度下吉布斯自由能变化量均为负值,表明该吸附反应能自发进行。     

Cr3+改性膨润土对苯胺的吸附性能研究

研究了Cr^3 改性膨润土吸附苯胺的性能及适宜条件．结果表明，Cr^3 改性膨润土对苯胺具有很好的吸附效果，吸附过程很快达到平衡，酸性和中性环境均有利于吸附过程的进行．绘制了不同初始浓度下苯胺溶液在平衡浓度达国家工业废水第二类污染物三级排放标准和二级排放标准时，Cr^3 改性膨润土的用量和吸附等温线，并将吸附效果与原钙基膨润土、钠化膨润土和有机改性膨润土进行了对比。     

改性柚子皮吸附剂对模拟废水中Pb^2＋的吸附性能

以废柚子皮为原料,经ZnCl2浸泡一加热的化学改性手段制备改性柚子皮生物吸附剂,并通过模拟试验研究该吸附剂对废水中Pb^2＋的去除。考察了模拟废水的pH、吸附时间、吸附剂用量和Pb^2＋初始浓度、温度等因素对柚子皮吸附剂去除Pb^2＋的影响,并研究柚子皮吸附剂对Pb^2＋的吸附动力学及吸附特征。结果表明,模拟废水的pH、吸附时间、吸附剂用量和Pb^2＋初始浓度、温度等因素对柚子皮吸附剂吸附废水中Pb^2＋均有显著影响。适宜的吸附条件为pH5．3-6．5,吸附时间1．5h,吸附剂用量10g·L^-1,Pb^2＋初始质量浓度100mg·L^-1,温度30℃。在该条件下,废水中Pb^2＋去除率在90％以上。柚子皮吸附剂对废水中Pb^2＋的吸附符合动力学二级反应方程,等温吸附规律可用Langmuir、Freundlich和Temkin模型进行较好的描述。     

巯基硅烷改性氧化石墨对砷的吸附性能

为提高氧化石墨(GO)对砷的吸附能力,以3-巯基丙基三甲氧基硅烷为改性剂,制备了巯基改性的氧化石墨(GO-SH),考察其对水中砷的吸附性能.采用单因素实验法考察了初始pH值、吸附剂投加量、温度等对吸附效果的影响,拟合了吸附等温线,并研究了吸附动力学和吸附热力学规律.实验结果表明,在最优条件下,GO-SH对初始浓度为4 mg.L-1的砷去除率达到97.7%;吸附等温线符合Langmuir和Freundlich模型,45℃时由Langmuir模型得到的饱和吸附量(Qm)为24.45 mg.g-1;吸附动力学符合准二级模型,内扩散模型符合高浓度砷的吸附动力学;热力学研究表明,吸附过程是自发吸热的反应,以化学吸附为主.     

酿酒酵母生物吸附Cu2+的动力学及吸附平衡研究

研究了重金属离子Cu2 在酿酒酵母上的生物吸附特性,内容包括生物吸附动力学、吸附等温线以及pH对生物吸附的影响.生物吸附动力学结果表明,当Cu2 初始浓度为71.6mg/L时,Cu2 在酿酒酵母上的生物吸附过程可以分为两个阶段,第一阶段为物理吸附,在10min内达到平衡,此后,随着时间的延长,有微量脱附现象发生.Cu2 在酵母上的吸附过程可以很好地用准二级动力学方程来描述(R2=0.9984),动力学参数k2为7.65×10-3g mg-1min-1,qe为9.15mg/g.吸附等温线结果表明,Cu2 在酿酒酵母上的生物吸附可以用Langmuir和Freundlich方程来描述,最大吸附量qmax为10.2mg/g·pH为5.0时Cu2 在酿酒酵母上的吸附量最大.酿酒酵母可用于处理低浓度含Cu2 的废水.     

阿特拉津在5种农业土壤中的吸附解吸特性分析

农药类有机污染物在农业土壤中的环境行为研究是国内外研究的热点。该研究采用批量平衡法,以阿特拉津(AT)为目标污染物,研究其在5种农业土壤中的吸附解吸规律,以期为阿特拉津在土壤中的环境风险和污染修复提供理论依据。结果表明,AT在5种土壤中的吸附动力学过程主要经历了快速吸附、慢速吸附和平衡吸附3个阶段,24 h后达到平衡,伪二级动力学模型能较好描述其动力学过程,说明AT在5种土壤上的吸附由多个过程控制,外部液膜扩散、颗粒内扩散和表面吸附等多个过程导致了其吸附动力学的复杂性。5种土壤对AT的吸附均能用Freundlich和Langmuir模型较好地拟合,且Freundlich模型(平均r~2=0.949)略优于Langmuir模型(平均r~2=0.92)。Freundlich模型中的1/n在0.581~0.799之间,均小于1,表明5种土壤对AT的吸附等温线均为非线性,属于"L型"等温吸附线。5种供试土壤对AT最大吸附量分别为砖红壤9.506 mg·kg~(-1)、水稻土5.577 mg·kg~(-1)、燥红土0.859 mg·kg~(-1)、潮土15.898 mg·kg~(-1)和红壤5.120 mg·kg~(-1)。AT在土壤中的吸附反应的△G~00,△H~00,表明AT在5种土壤中的吸附是自发进行的且属于吸热反应。AT在砖红壤、燥红土和红壤上的吸附机理可能是氢键和离子交换作用;在水稻土上的吸附机理可能是氢键和偶极间力作用;在潮土上的吸附机理可能为氢键作用。5种供试土壤对AT的解吸表现出一定的负滞后效应,其滞后效应大小顺序为:潮土(H=2.138)红壤(H=1.776)燥红土(H=1.704)砖红壤(H=1.378)水稻土(H=1.009)。     

磷酸活化活性炭对Cu~（2＋）的吸附特征研究

寻求廉价而高效的吸附材料为目的,研究向日葵秸杆基活性炭对铜离子的吸附性能。以向日葵秸秆为原料,经H3PO4活化制备活性炭,通过静态实验研究了其对水溶液中Cu2＋的吸附特性,考察了溶液pH值、吸附温度和离子强度对吸附的影响,探讨了吸附热力学、动力学和吸附机理。结果表明：溶液pH值为5～6时活性炭对Cu2＋的去除效果最好;向50 mL 170 mg·L-1的溶液中加入0.5 g活性炭,温度为45℃、吸附时间为1 h时,对Cu2＋的去除率可达98.3%;Langmuir方程能更好地描述Cu2＋在活性炭上的等温吸附特征,静态吸附容量可达41.03 mg·g-1;吸附过程符合拟二级动力学过程,且为吸热的化学吸附过程,膜扩散为速率控制步骤,离子交换可能在吸附过程中起了重要作用。     

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