多针-水电极直流电晕放电染料废水脱色

采用多针-水电极反应器,研究了直流电晕放电对活性艳蓝KN-R染料废水的脱色,考察了放电电压、初始pH值和初始浓度对活性艳蓝脱色的影响,通过对液相活性物质(O3和.OH)浓度的考察探讨了脱色机理.结果表明,多针-水电极直流电晕放电对活性艳蓝脱色效果明显;放电电压、溶液初始pH值对活性艳蓝脱色效果的影响与其对液相O和.OH浓度的影响一致;.OH和O是促使RBB脱色的主要因素.     

Y型分子筛负载铁催化剂对活性艳蓝KN-R脱色的研究

利用Y型分子筛负载铁催化剂对活性艳蓝KN-R的脱色进行研究,探讨了催化剂的制备方法、铁负载量、投加剂量、反应体系pH值以及焙烧温度对活性艳蓝KN-R催化脱色效率的影响,并考察了催化剂的重复利用性能.结果表明:离子交换法制得的Y型分子筛负载铁催化剂表现出较佳的染料脱色性能.在pH＜3.0,H2O2投加剂量为50.0 mmol·l-1,催化剂投加剂量为4.0g·l-1的条件下,对初始浓度为250mg·l-1的KN-R模拟染料废水,30 min之内脱色率达95%以上.采用有机酸络合铁作为铁源制得的Y型分子筛负载铁催化剂的催化活性大幅增强,但催化剂稳定性降低.铁负载量影响染料的脱色反应活性,过量负载会导致染料脱色效率降低;同样,适度增大催化剂用量可促进染料脱色效率,但过量投加不利于染料的脱色.pH＜3.0为该Y型分子筛负载铁催化剂的适用pH条件;催化剂重复利用三次后,1h内对活性艳蓝KN-R的脱色率仍可达95%以上.     

固定化无花果曲霉对活性艳蓝KN-R的脱色

采用海藻酸钙法固定不同状态无花果曲霉，形成活菌固定化小球和死菌固定化小球。同时考察了不同因素如培养时间、温度、pH、染料浓度对活性艳蓝KN-R的脱色影响。试验结果表明：在33℃、pH为5．0、150r／min的振荡条件下，经66h它对活性艳蓝KN-R的脱色达到最佳效果。两种不同状态固定化小球的脱色率有较大的差别，其中活菌固定化小球的脱色率明显高于死菌固定化小球。其中活菌固定化小球经3次脱色后能重复使用，脱色率仍达79．8％。     

低传质阻力渗流式纳米电极电化学反应器处理活性艳蓝X-BR

采用渗流式电化学反应器,以碳纳米管和活性碳纤维作为反应器的阳极.选取活性艳蓝X-BR模拟废水作为实验对象,计算电化学过程的传质系数,考察电压、pH值和电解质对活性艳蓝脱色的影响,在优化条件下(电压为8V,pH=2,电解质浓度为1g·l-1),对浓度为200mg·l-1活性艳蓝X-BR的脱色率可达90%以上.     

过渡金属Fe、Co、Ni介孔分子筛MCM-41催化剂的制备及其氧化性能

本研究用直接法和后处理法合成了不同过渡金属(Fe、Co、Ni)负载的介孔分子筛载体材料MCM-41,并利用Al对分子筛进行了改性,制备了Fe/Al复合催化剂,对上述材料进行了表征.研究了这些非均相催化剂对染料活性艳蓝KN-R的催化氧化脱色,分别研究了催化剂制备方法、过渡金属种类及负载量对KN-R脱色效率的影响,并考察了所制得催化剂的稳定性和重复利用性.结果表明,直接法合成的催化剂具有较高的催化性能及较低的金属溶出量,负载铁(Ⅱ)的催化剂对染料的催化降解性能要远高于钴(Ⅱ)和镍(Ⅱ)负载型催化剂,催化氧化活性随金属负载量的提高而显著升高.Al改性进一步提高了催化剂的活性,在pH=2.5,氧化剂H_2O_2投加剂量为50.0 mmol·L~(-1),催化剂剂量为4.0 g·L~(-1)的条件下,反应30 min,对初始浓度为250 mg·L~(-1)的KN-R染料的脱色率均可达95%以上,矿化率达60%以上.当Al/Si为0.21,Fe负载量为23.6 mg·g~(-1)时,在10 min内可将250 mg·L-1的KN-R完全脱色.经过3次循环使用后,上述催化剂仍能表现出良好的性能,但进一步循环使用,催化活性下降.     

一株染料脱色酵母菌的鉴定及脱色特性

从土壤中分离到一株活性艳红K-2BP脱色酵母菌株Y-63,根据其生理生化特征和26S rRNA基因序列相似性分析,鉴定为Pseudozyma rugulosa.该菌在16 h内对100 mg/L的活性艳红K-2BP脱色率为94%,其机理属于降解脱色.该染料脱色的最佳接种量(φ)应不低于5%,最适pH在4～9之间,(NH4)2SO4浓度(w)不低于0.1%,葡萄糖浓度(w)不低于0.2%.此外,该菌株对其它9种50 mg/L的染料(活性艳蓝X-BR、媒介漂蓝B、活性翠蓝KN-G、酸性媒介黄GG、媒介红S-80、依加仑蓝FBL 200%、弱酸艳红B、活性黑KN-B和活性红M-3BE)的脱色率在10%～96%之间.该研究表明酵母Y-63在染料废水的处理上具有较好的应用潜能.     

微米气泡强化臭氧氧化的作用机理研究

采用微米气泡系统(平均粒径约为58 μm)和普通的鼓泡系统进行对比研究微米气泡对臭氧氧化的强化作用机理.在相同的进气流率下,采用微米气泡体系臭氧在水中的传质系数和利用率是鼓泡系统的1.6-2.7倍和2.3-3.2倍.利用臭氧氧化模拟活性艳蓝KN-R废水(100 mg·l-1)的实验结果表明,染料在微米气泡体系中的脱色速率高于鼓泡系统,二者达到99%脱色效率所需的时间分别为30 min和60 min.在同样的脱色速率下,染料在微米气泡系统中的TOC去除率较大,说明微米气泡不仅能够提高臭氧的传质速度,而且可以强化臭氧的氧化能力.     

亚甲基蓝的CuO/TiO2-H2O2光催化脱色效果及影响因素

以亚甲基蓝染料为对象,研究CuO/TiO2-H2O2光催化的脱色效果及影响因素.在CuO/TiO2光催化系统中,加入H2O2可以显著提高催化效率,但H2O2的加入量不宜太多;反应系统的pH值、催化剂用量以及初始色度等对CuO/TiO2-H2O2的光催化效果都具有显著影响.结果表明,在pH=7的溶液中,每1000ml溶液加入0.1g CuO/TiO2催化剂和10ml 30% H2O2溶液,用ZY3-150型高压汞灯照射2h,色度为500倍的亚甲基蓝溶液脱色率高达90%.     

常见离子对漆酶降解活性艳蓝的调控作用

漆酶具有很高的工业价值,但水体中离子的存在为其推广使用带来了巨大挑战.探讨水体中常见的7种阳离子和8种阴离子调控自由漆酶和漆酶–介体系统对水中活性艳蓝降解速率的差异.结果显示:Mn~(2+)、Cu~(2+)、Zn~(2+)、HPO_4~(2-)和NO_2~-在0-10 mmol/L范围内可促进漆酶对活性艳蓝的降解,降解速率由高到低依次为NO_2~-、Mn~(2+)、Cu~(2+)、Zn~(2+)、HPO_4~(2-);SO_3~(2-)、Cl~-、Fe~(2+)和Fe~(3+)对活性艳蓝的降解有抑制作用,其中Fe~(2+)和SO_3~(2-)的最低抑制浓度分别为5和0.5 mmol/L;其他离子对漆酶降解活性艳蓝没有显著性影响.在5种介体的协同作用中,紫脲酸(VA)的效果最佳,导致漆酶对活性艳蓝的降解速率提升10%左右,其余介体的促进效率明显低于VA.在同等离子的调控下,漆酶–介体系统中的降解速率优于自由漆酶.本研究初步揭示了漆酶对活性艳蓝的降解机理,同时可以通过控制水体中离子的种类和数量来更好地实现漆酶对活性艳蓝的降解,结果可为漆酶在实际染料废水处理中的应用提供理论依据.(图4表4参40)     

高含量漆酶食用菌菌渣的筛选及其染料脱色作用

食用菌菌渣(Spent mushroom substrate,SMS)指食用菌出菇后的培养基废弃物,富含菌体蛋白、生物酶、多糖等营养物质,是潜在的生物质资源,用于肥料、饲料、生物修复等领域.我国是全球第一大食用菌生产国,大量菌渣资源一直没有得到科学有效地利用,并造成环境污染.以工厂化、实验室和农业栽培的杏鲍菇、平菇等9种常见食用菌菌渣为材料,进行高产漆酶菌渣筛选,并进一步利用高活性菌渣,对孔雀石绿、活性艳蓝、甲基橙、活性红和活性黑5种染料进行脱色脱毒研究.结果显示,新鲜工厂化杏鲍菇菌渣漆酶活性为7.55×104 U/g.其不同高度菌渣柱对染料脱色的结果显示,15 cm高菌渣脱色效果最佳,对5种染料的脱色率分别为100%、98.60%、72.82%、61.97%和43.73%.全波长光谱扫描显示,孔雀石绿、活性艳蓝经处理后流出液的染料最大光吸收峰显著降低甚至消失.进一步利用其菌渣漆酶粗提物进行染料脱色研究,30℃孵育24 h脱色率分别为81.24%、49.43%、37.62%、26.34%和13.54%.以大肠杆菌和金黄色葡萄球菌为靶标,对酶促染料降解产物进行了毒性研究,结果显示产物毒性均低于未处理染料.本研究表明工厂化杏鲍菇菌渣具有高漆酶活性,能用于孔雀石绿、活性艳蓝等染料废水的脱色、脱毒,具有重要经济和生态价值.(图4表4参43)     

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).