兰州市大气颗粒物中水溶性离子研究

本文对兰州市不同季节大气颗粒物中水溶性离子的主要理化特性及其与降水的关系进行了研究，认为大气颗粒物中水溶性离子是当地降水中ＳＯ４＾２－，Ｃａ＾２＋，Ｃｌ＾－等主要离子的来源。在１３种被测的水溶物中，ＳＯ４＾２－和Ｃａ＾２＋离子所占比例较高，分别占总离子的３１．４％和２７．８％，年均浓度值为１０．７２μｇ／ｍ＾３和３．９６μｇ／ｍ＾３。同时大气颗粒物中水溶物浓度与ＳＯ２，ＴＳＰ等大气污染物浓度之间也     

雨水中S（Ⅳ）的离子色谱分析及其保护方法的研究

本文研究了用离子色谱法分析雨水中Ｓ（Ⅳ）的色谱条件和含Ｓ（Ⅳ）样品的保存方法，采用ＨＰＩＣ＿ＡＳＡ分离柱、用２ｍｍｏｌ．ｌ＾－１Ｎａ２ＣＯ３／３ｍｍｏｌ．ｌ＾０１ＮａＯＨ溶液作淋洗液、０．０１２５ｍｏｌ．ｌ＾－１Ｈ２ＳＯ４为再生液、电导检测的方法，具有无干扰和灵敏度高等优点，而且在Ｓ（Ⅵ）的浓度秋－２８μｇ．ｍｌ＾－１范围内，其浓度与响应值之间呈现出良好的线性关系，其线性相关系数在０．９９９５以上     

磷酸铁膜对黄铁矿氧化抑制作用

本文用动力学、表面分析方法研究在黄铁矿表面磷酸铁膜形成的可能性以及磷酸铁膜抑制黄铁矿的氧化作用,黄铁矿经０．３ｍｏｌ．ｌ＾－１Ｈ２Ｏ２＋０．０１ｍｏｌ．ｌ＾－１ＮａＨ２ＰＯ４＋０．０５ｍｏｌ．ｌ＾－１ＮａＡｃ（ｐｈ５．０）淋洗后,在其表面可形成一层磷酸铁膜,该能显著抑制黄铁矿的进一步氧化,结果还表明,在Ｈ２Ｏ２作用下,黄铁矿氧化有自催化氧化的特征,其氧化产物Ｆｅ＾３＋能加快黄铁矿的氧化速率。     

PACS的结构特征及絮凝性能研究

制备了碱化度及Ａｌ＾３＋／ＳＯ＾２－４摩尔比不同的系列ＰＡＣＳ，分别进行常压（干燥温度１０５℃）及真空干燥（真空度为－０．０９８ＭＰａ、干燥温度６５℃）制备固体产品。用红外光谱及Ｘ－射线衍射谱研究了碱化度、Ａｌ＾３＋／ＳＯ＾２－４摩尔比、干燥温度对ＰＡＣＳ的结构影响，比较了干燥温度不同对ＰＡＣＳ固体样品的溶解度及絮凝效果的影响，借助于显微电泳测定技术研究不同碱化度及不同Ａｌ＾３＋／ＳＯ＾２－４摩尔     

磷酸铁膜对黄铁矿氧化动力学行为的影响

用动态法研究了不同温度ＰＨ值和Ｈ２Ｏ２浓度下,对照和经ＫＨ２ＰＯ４处理的黄铁矿氧化反应的动力学。结果表明,用０．１ｍｏｌ．ｌ＾－１Ｈ２Ｏ２＋０．０１ｍｏｌ．ｌ＾－１ＫＨ２ＰＯ４混合液淋洗黄铁矿后,黄铁矿表面可形成磷酸铁膜。     

Ag—Mn,Ag—Co和Ag—Ce复合氧化物上CO,丙酮和吡啶的催化燃烧

本文考察了Ａｎ－Ｍｎ，Ａｇ－Ｃｏ和Ａｇ－Ｃｅ复合氧化物上ＣＯ，丙酮和吡啶的催化氧化性能，结果表明，双组分Ａｇ－Ｍｎ／Ａｌ２Ｏ３和Ａｇ－Ｃｏ／Ａｌ２Ｏ３催化剂的氧化活性均高于单组分Ａｇ／Ａｌ２Ｏ３．在Ａｇ－Ｃｅ／Ａｌ２Ｏ３催化剂上，ＣＯ氧化反应的速率言程可用ｒ＝ｋＰｏ２＾ｍＰＣＯ来表示，随着催化剂中氧化铈含量的增加，对氧的反应级数明显下降。     

二氯苯在盐水溶液中活度系数的研究

本文采用紫外分光光度法测定了２５．００±０．００１℃下间位和对位二氯苯在ＨＣＯＯＮａ,ＣＨ３ｃＯＯＮａ,（ＮＨ４）２ＳＯ４,ＭｇＳＯ４和Ｎａ２ＳＯ４水溶液中活度系数（ｆ）,它们的ｌｇｆ－Ｃ关系符合Ｓｅｔｓｃｈｎｏｗ盐效应公式。     

Al（Ⅲ）与Fe（Ⅲ）溶液洪聚合研究

以ＡｌＣｌ３．６Ｈ２Ｏ和ＦｅＣｌ３．６Ｈ２Ｏ混合溶液通过滴加ＮａＯＨ溶液的方法制备了不同Ａｌ／Ｆｅ摩尔比，下同）和不同「ＯＨ」／「Ａｌ＋Ｆｅ」值的共聚物，测定了聚合过程和熟化过程中的ＰＨ值变化。并对不同碱化放熟化时间下的聚合物进行了混凝效能实验。     

Al—Ferron逐时络合比色法研究PACS中铝的水解聚合形态

制备了碱化度及不同Ａｌ＾３＋／ＳＯ＾２＝４摩尔比的系列ＰＡＣＳ，用Ａｌ－Ｆｅｒｒｏｎ逐时络合比色法研究了铝的形态分布，考察了碱化度，Ａｌ＾３＝／ＳＯ＾２＝４摩尔比，稀释作用及ｐＨ值对铝的形态分布的影响。     

Fe（Ⅲ）水解过程中无机阴离子的影响作用

本文通过ＰＯ＾３－ ４，Ｆ＾－，ＳＯ＾２－ ４，Ｃｌ＾－，ＮＯ＾－ ３和ＣｌＯ＾－ ４存在时，０．１ｍｏｌ／１ ＦｅＣｌ３溶液的碱中和曲线的分析对比，说明了用曲线斜率区分滴定曲线为三个区域：（Ａ）自发水解反应；（Ｂ）聚合反应；（Ｃ）沉淀反应，以及阴离子对中和曲线的影响及其规律，指出阴子子对Ｆｅ（Ⅲ）浓度中和反应影响为不同程度的竞争配位，参与聚合及电中和脱稳，使沉淀反应提前等。并与ＯＨ＾－共同形成Ｆ     

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).