三乙烯四胺(TETA)抑制磁黄铁矿氧化的机理研究

本文分别对三乙烯四胺（TETA）抑制磁黄铁矿在空气和Thiobacillus ferrooxidans 细菌作用下的氧化过程进行了研究．结果表明：TETA不但能有效防止磁黄铁矿在85—90％湿度空气中的氧化,还能显著阻止Thiobacillus ferrooxidans 对样品的生物氧化．与对照样品相比,在空气中氧化90d和被细菌氧化42d后,经TETA简单包膜处理样品的氧化程度分别降低了54．7％和82．07％．TETA通过在样品表面形成一层致密的膜来隔绝样品与氧气的接触,从而抑制了磁黄铁矿的空气氧化;碱性TETA还能通过提高反应体系的pH值、恶化嗜酸细菌Thiobacillus ferrooxidans的生存环境来阻止样品的生物氧化．     

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。     

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。     

巯丙基三甲氧基硅烷对黄铁矿包膜条件的优化

本文采用巯丙基三甲氧基硅烷(PropS-SH)对黄铁矿进行钝化处理,重点探讨了PropS-SH钝化黄铁矿的最优包膜条件,并对最优包膜条件下钝化处理的黄铁矿进行了为期4个月的淋滤实验,同时采用傅利叶红外(FI-IR)、扫描电镜(SEM)及静态水接触角等测量手段对钝化前后黄铁矿表面的化学及形貌特征进行了表征.结果表明,PropS-SH钝化黄铁矿的最佳包膜条件为:硅烷浓度10%、溶液pH 4.0、硅烷水解时间4 h、硅烷水解温度40℃.在此最优包膜条件下,钝化处理的黄铁矿在为期4个月的淋滤实验中都呈现出良好的抗生物和化学氧化能力.钝化前后黄铁矿的表征结果说明,PropS-SH分子能通过化学吸附包膜于黄铁矿表面,从而使得矿物表面由亲水性变为疏水性.     

根修剪对冬小麦根系效率、水分利用及产量的影响

通过盆栽试验研究了根修剪对冬小麦根系效率、水分利用及产量形成的影响.结果表明,在不同水分条件下,根修剪均减少了小麦的根量及根呼吸速率,但对根冠比没有显著影响.在湿润和中度干旱条件下,根修剪提高了小麦花期的光合速率和根系效率;在严重干旱胁迫条件下,根修剪小麦的光合速率显著下降,但根系效率与对照相比没有显著差异.在湿润条件下,小剪根处理对籽粒产量并没有显著的影响,而大剪根处理小麦的籽粒产量显著下降;在中度干旱胁迫条件下,小剪根处理小麦的产量(25.18 g pot-1)显著高于对照(22.31 g par-1),但大剪根处理小麦的产量(18.34 g pot-1)显著下降;在严重干旱条件下,两个剪根处理小麦的产量均显著下降.在湿润和中度干旱胁迫条件下,小剪根处理籽粒产量水平的水分利用效率(分别为1.57 g kg-1和1.85 g kg-1)显著大于相应的对照处理(分别为1.46 g kg-1和1.55 g kg-1),但大剪根处理水分利用效率和对照相比没有显著差异;在严重干旱条件下,各剪根处理的水分利用效率和对照相比没有显著差异.可见,在湿润和中度干旱条件下进行的适当根修剪根对作物生产是有利的.图1表3参15     

包膜尿素对水田土壤排放NH3、NOx、CO2影响的研究

为了研究包膜尿素对水田土壤排放NH3、Nox和CO2的影响,采用水稻盆栽的方法,探讨了在水稻不同生育期内不同种类包膜尿素对水田土壤排放NH3、Nq和CO2的影响。结果表明,包膜尿素处理对水田土壤排放NH3、Nq和CO2均具有抑制作用,与普通尿素相比,包膜尿素LP40、LPSS、BB、SC60NH3的挥发总量降低了5．4％-19．3％,Nox的挥发总量降低了8．1％-23．4％,CO2的挥发总量降低了1．6％-13．O％;施用包膜尿素能够抑制水田土壤NH3、NOx和CO2的排放。     

近地层臭氧浓度升高对稻田土壤氨氧化与反硝化细菌活性的影响

利用中国唯一的稻麦轮作臭氧FACE（free-air O3 concentration enrichment,开放式空气臭氧浓度增高）试验平台,研究近地层臭氧浓度升高对稻田不同生育时期植株氮吸收量、土壤氮含量与脲酶活性、土壤氨氧化细菌与反硝化细菌数量以及成熟期土壤硝化与反硝化作用强度的影响。结果发现,臭氧浓度升高条件下,单株水稻（Oryza sativaL.）的氮吸收量趋于升高,土壤全氮含量趋于下降、脲酶活性趋于增强,在成熟期土壤全氮与对照相比平均下降9%,土壤脲酶活性与对照相比平均升高13%。在水稻整个生长季节,土壤氨氧化细菌和反硝化细菌的数量均呈现出先增多后减少的趋势,且均在开花期达到峰值,但臭氧熏蒸土壤与对照相比趋于升高;在水稻成熟期,土壤中单个氨氧化细菌和反硝化细菌的活性均趋于下降,土壤硝化强度和反硝化强度与对照相比也平均下降17%和24%。结果表明,近地层臭氧浓度升高条件下,稻田土壤氮素转化因为水稻氮素吸收增强而加快,土壤氨氧化细菌和反硝化细菌的数量均趋于增多,但它们的生理代谢活性均趋于下降。     

高锰酸钾预氧化-混凝沉淀组合工艺处理微污染水研究

针对微污染水,就高锰酸钾预氧化技术与与饮用水常规混凝沉淀工艺组合联用开展了一些试验研究。结果表明：高锰酸钾的预氧化作用有助于PAC混凝沉淀工艺对原水中有机污染物的去除;KMnO4和聚合氯化铝（PAC）的投加方式对原水耗氧量的去除率有明显影响;KMnO4预氧化有一个最佳时间;高锰酸钾预氧化-混凝沉淀组合微污染水处理工艺,对原水pH值的波动有比较好的适应性。     

氧化与还原条件下水稻土重金属形态特征的对比

还原状态下的水稻土被风干处理后氧化还原等性质发生明显变化,对重金属的形态特征产生影响,进而影响对作物有效性的评价.利用BCR连续萃取法研究了张家港市南部不同pH水稻土在还原和氧化条件下Cu、Pb、Ni和Cd的形态变化状况.结果显示,氧化还原对重金属形态分配具有显著影响,而pH对Ni在还原状态下的形态分配有显著影响,对Cu、Pb和Cd形态分布影响不显著.样品经风干氧化处理后,氧化物结合态重金属均表现为不同程度的降低;Cu残渣态比例增加25%,氧化物结合态和有机结合态比例有所降低;Pb有机结合态比例增加33%,残渣态减少33%,酸可提取态和氧化物结合态变化不大;Ni受氧化还原条件影响更为强烈,表现为酸可提取态所占比例降低超过25%,氧化物结合态亦明显降低,残渣态提高超过60%;对Cd的影响主要表现为有机结合态所占比例降低约15%,残渣态提高约35%,酸可提取态和氧化物结合态变化不明显.氧化状态下的重金属形态并不是重金属在田间的真实状况,可能高估了Pb,低估Cu、Ni和Cd重金属在土壤中的危害性.     

有机磷农药草甘膦异丙胺盐对球形棕囊藻的刺激效应

设置0、0．001、0．01、0．1、l和10mg·L-16个质量浓度梯度,测定了草甘膦异丙胺盐（Glyphosate—isopropylammonium）农药对球形棕囊藻（Phaeocystis globosa）生长、叶绿素a含量、SOD和CAT活性的影响,探讨了有机磷农药对球形棕囊藻的毒物刺激效应。结果表明,低浓度的草甘膦异丙胺盐对球形棕囊藻的生长呈现出刺激效应。在实验所设定的6个质量浓度梯度范围内,0．001mg·L0和0．01mg·L-1质量浓度处理下的刺激效应最为显著。该两个质量浓度处理下,球形棕囊藻的平均相对增长率比对照分别提高了1．27％和0．45％,叶绿素a含量分别比对照提高了9．2％和2．5％,SOD活性提高了5．9％和7．2％,CAT活性提高了93％和155％;而当草甘膦异丙胺盐质量浓度在0．1mg·L-1以上时,球形棕囊藻的生长率、叶绿素a含量、SOD活性均显著低于对照。草甘膦异丙胺盐在0．001mg·L-1和0．01mg·L-1范围内对球形棕囊藻均呈现刺激效应,而高于0．1mg·L-1时球形棕囊藻各生理指标表现出显著抑制效应。研究结果为了解有机磷农药对海洋微藻生长的影响特征,揭示有机磷农药对微藻产生低促高抑的规律和为深入探索赤潮暴发的成因提供依据。     

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