TiO2/Li4Ti5O12/Na2Ti6O13复合催化剂的制备、表征及其光催化活性

采用反相微乳法,制备了TiO2/Li4Ti5O12/Na2Ti6O13复合催化剂,运用TG-DSC、XRD、SEM等分析方法对催化剂进行表征.在紫外光(λ=365 nm)照射下,以2,4-二氯苯酚(2,4-DCP)作为目标污染物,用P-25型TiO2作对照,研究了TiO2/Li4Ti5O12/Na2Ti6O13复合催化剂光催化降解2,4-DCP的特性.结果表明,制备的TiO2/Li4Ti5O12/Na2Ti6O13复合催化剂成带状纳米结构,其长度大于5μm,宽度约60 nm,厚度小于30 nm,结晶良好,分散性高,在紫外光照射下,50 min内对20 mg·L-1的2,4-DCP降解率达到了99.8%,表现出了比P-25型TiO2更高的光催化活性.     

纳米TiO2光催化氧化异丙醇和丙酮反应的研究

分别研究了纳米TiO2 在主波长为 364nm的汞灯光照下催化氧化i C3H7OH和CH3COCH3水溶液的反应速率 .通过XRD ,TEM ,BET和FT IR PAS对催化剂进行表征 ,粉末的晶型主要为锐钛矿型 .平均粒径在 1 5nm左右 ,比表面积为 1 0 1 0± 0 2m2 ·g- 1 ,FT IR PAS的检测结果表明 ,CH3COCH3是i C3H7OH光催化氧化的中间产物 ,其光催化氧化反应为 :i C3H7OH [O]CH3COCH3[O]CH3COOH[O]…[O]CO2 H2 O     

SiO2掺杂对Ru-TiO2催化剂的结构及其对丁二酸湿式氧化活性的影响

在TiO2粉末中掺杂SiO2,制备0—20%的SiO2TiO2载体.利用浸渍法在载体上负载Ru,制备Ru/SiO2TiO2催化剂.结果表明,催化剂的晶相以锐钛矿为主,晶粒尺寸为30—50nm.掺杂的SiO2主要为无定型,以5—15nm分散于催化剂中,比表面积随SiO2掺杂量的增加显著增大,但对TiO2的晶体结构无明显影响,也未形成Si—O—Ti键.Ru因粒径细化及含量过低未产生衍射峰.在300ml间歇式反应釜中,反应温度210—270℃,初始氧分压085MPa条件下,对丁二酸(74g·l-1,COD=7000mg·l-1)的催化湿式氧化结果表明,SiO2掺杂量对COD的去除率有显著影响,掺杂10%SiO2的催化剂对COD的去除率最高.在连续十次运行中,COD的去除率保持在85%左右,活性未见降低.     

新型饮用水除氟材料Bio-F除氟机制研究

采用了SEM、BET、FT-IR、XRD等现代分析测试方法,研究了Bio-F的表面微观结构及吸附氟离子机制.结果表明,Bio-F吸附氟离子后比表面积由12.411m2·g-1减少为10.692m2·g-1,平均孔容减少了0.004 cm3·g-1,最可几孔径分布在1.88nm左右.Bio-F吸附氟离子的过程包括离子交换和吸附作用,吸附方式包括物理吸附和化学吸附,离子交换时材料与氟离子结合可能形成Ca10(PO4)5CO3(OH)F.     

串珠状InNbO4光催化剂可见光下降解盐酸达克罗宁

采用柠檬酸溶胶-凝胶法制备了串珠状InNbO4光催化剂,利用X射线衍射仪(XRD)、透射电镜(TEM)、紫外-可见漫反射(UV-vis DRS)和比表面积测定仪(BET)等手段对样品进行了表征.以盐酸达克罗宁为模型污染物考察了样品的可见光催化活性.结果表明,合成的串珠状InNbO4为单斜相结构,禁带宽度约为2.91 eV,比表面积为74.1 m2·g-1.串珠状InNbO4具有较高的光催化活性,在可见光下,pH值为7.35,催化剂用量为0.5 g·L-1时,能够有效地降解起始浓度为25 mg·L-1的盐酸达克罗宁溶液,并且降解速率可用一级动力学方程来描述.     

Sm3+/TiO2催化剂对光催化还原CO2和H2O合成CH3OH的影响

采用溶胶-凝胶法和溶胶-乳化-燃烧法制备了Sm3+/TiO2光催化剂,并用X射线衍射(XRD)、透射电镜(TEM)、紫外可见吸收光谱(UV-Vis)、红外光谱(IR)等分析技术表征了催化剂,考察了制备方法、离子掺杂量等对催化剂光催化还原CO2和H2O合成CH3OH实验的影响.实验结果表明,掺杂后的催化剂颗粒更均匀,比表面相应增加,溶胶-乳化-燃烧法制备的催化剂晶粒更小,比表面积更大,光催化活性更高.     

硅镁胶MgO·6SiO_2的制备及其对亚甲基蓝的吸附

以氯化镁和水玻璃为原料,采用水热法制备了氧化镁含量低于10%的新型硅镁胶MgO·6SiO2,讨论了体系pH值、水热时间和温度等因素对产物硅镁物质的量之比的影响,通过比表面积分析、电位滴定法对样品进行了表征,用亚甲基蓝溶液评价其吸附性能.结果表明,MgO·6SiO2的最佳制备条件为:调节pH值到9.5左右、水热12 h、水热温度110℃,pH为控制产物硅镁物质的量之比的决定性因素;硅镁胶MgO·6SiO2是多孔材料,比表面积为285 m2·g-1,表面零电荷点pHzpc为10.4;25℃时,对亚甲基蓝的最大吸附量可达151.52 mg·g-1,吸附过程符合Langmuir吸附模型.     

Ce/TiO_2/Fe_3O_4粒子电极光电催化降解藏红T模拟染料废水

采用化学共沉淀-超声辅助法,制备出磁性纳米材料Fe3O4,利用溶胶-凝胶法在Fe3O4表面包裹Ce/TiO2,得到磁性复合材料Ce/TiO2/Fe3O4.用XRD、SEM、BET等对其结构和性能进行了表征,催化剂主要以催化活性较高的锐钛矿相存在,Ce/TiO2包覆在纳米Fe3O4的表面形成多孔结构,复合材料具有LangmuirⅣ吸附-脱附等温线,比表面积76.68m2·g-1,平均孔径8nm,主要分布在4.5—15.4nm之间.通过电助光催化降解藏红T溶液研究了Ce/TiO2/Fe3O4的光电催化活性.在催化剂的加入量为6g·L-1,降解时间为60min,外加电压为5V,50mg·L-1的藏红T溶液的降解率可达到90%以上,COD去除率达84.7%.所制备的Ce/TiO2/Fe3O4在重复使用5次后仍能保持较好的光电催化活性.     

多孔TiO_2光催化降解罗丹明B水溶液

以SiO2为模板剂,采用溶胶-凝胶-碱洗的方法制备多孔TiO2催化剂。经TEM和BET分析表明,多孔TiO2粒径约为10 nm,且颗粒大小分布均匀,其比表面积较大,约为167.572 m2/g。通过罗丹明B水溶液的光催化降解实验,考察了多孔TiO2的光催化活性。实验结果表明,初始pH=6,初始浓度30 mg/L的罗丹明...     

Nd-Er/ZnO-TiO_2光催化剂制备及对酸性品红的光催化降解效应

本研究采用溶胶凝胶法,以钛酸丁酯[Ti(OC_4H_9)_4]和六水合硝酸锌[Zn(NO_3)_2·6H_2O]为前躯体,六水合硝酸钕[Nd(NO_3)_3·6H_2O]与五水合硝酸铒[Er(NO_3)_3·5H_2O]为掺杂改性材料制备出稀土共掺杂的Nd-Er/ZnO-TiO_2光催化剂。以有机染料酸性品红为目标降解物,分别比较加入助催剂H_2O_2与未加助催剂H_2O_2在可见光下同Nd-Er/ZnO-TiO_2光催化剂一起对光催化活性的影响。降解实验表明,在可见光照射下,样品1%Nd-1%Er/5%ZnO-TiO_2具有较高的催化活性,其最佳煅烧时间和煅烧温度分别为2 h和550℃;H_2O_2在整个光催化反应体系中充当助催剂,与光催化剂产生协同效应,提高光催化降解酸性品红反应速度。本研究还利用X射线衍射仪(XRD)、比表面积分析仪(BET)、红外光谱仪(ATI-IR)对所制得的光催化材料进行表征。结果表明经稀土共掺杂改性后的ZnO-TiO_2光催化剂不仅粒径更小,比表面积也更大。     

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