城市生态安全评价研究

城市生态安全是指城市生态环境支撑条件以及所面临生态环境问题不对其生存和发展造成威胁，即城市生态系统功能和过程能够满足其持续生存与发展需求。以佛山市为例，选择了资源、环境、生物和灾害等因素，各因素再选择若干评价要素，采用几何平均法计算了城市生态系统安全指数。资源安全评价选择了能源、水资源和粮食等要素，其安全指数为0．22；环境安全评价选择了水环境、大气环境、固体废物和农业环境，其安全指数为0．58；生物安全因素安全评价选择了生物多样性保护、外来入侵物种、森林植被等要素，其安全指数为0．30；选择水土流失、地质灾害、气象灾害和生物灾害等要素进行生态灾害安全评价，指数为0．79；佛山市生态安全综合指数为0．42。研究还表明，生态安全评价宜根据最小限制因子定律，选择关键影响因子进行评价。     

城市绿化中选择净化空气的植物配植

文章叙述了在城市绿化中选择净化空气的植物配植的方法、原则，介绍了几种对大气污染吸收净化能力强的植物种类，和室内选择净化空气的花草。     

工业企业噪声环境影响评价中的点布与预测时段的选择

在工业企业噪声环境影响评价中，由于测点与测量时段选择的不妥，导致测量及预测值“以偏代全”的结果；本文提出了测点合理布设与测量，预测时段科学选择的原则，以使测量与预测结果能较好地符合项目建成前、后噪声环境实际状况。     

整合分析在生态学应用中的优势及存在的问题

整合分析(meta-analysis)是对同一主题下多个独立实验结果进行综合的统计学方法，被认为是到目前为止最好的数量综合方法。结合实例讨论了整合分析在生态学应用中的优势及存在的问题，并介绍了一些解决问题的方法。有明确的选择文献标准、给出了测量指标…效应值、设计严密，分析结果客观性强是其优点；在生态学应用中最严重的问题是选择效应值时面临的生物学意义和统计学特性不能兼顾，其它不足之处主要有选择文献时面临的数据缺失、原文献数据的非正态分布、文章的发表偏见、非随机性选择独立研究等。     

工业企业噪声环境影响评价中的布点与预测时段的选择

在工业企业噪声环境影响评价中，由于测点与测量时段选择的不妥，导致测量及预测值“以偏代全”的结果；本文提出了测点合理布设与测量，预测时段科学选择的原则，以使测量与预测结果能较好地符合项目建成前、后噪声环境实际状况。     

芹菜赖氨酸加苏氨酸抗性细胞系的选择

用４ｍｍｏｌ－／Ｌ浓度的赖氨酸加苏氨酸作为选择压，经相同浓度液体和固体选择培养基连续选择，从未经诱变处理的芹菜胚性愈伤组织筛选出一个稳定的赖氨酸加苏氨酸抗性细胞系并得到再生植株。抗性细胞系再生植株整株的氨基酸含量比对照组植株高１０倍左右。但是地上部分氨基酸含量，抗性细胞系再生植株比对照植株有所降低。两种植株叶片的细胞色素氧化酶同工酶谱有明显差异，抗性细胞系再生植株有４条谱带，而对照植株只有两条谱带     

氯代二恶英微生物降解性的初步探讨

本研究通过分离和筛选，从氯苯生产车间附近土壤和施用五氯酚除草剂的湖泊底泥中选出八支菌株，均能降解一氯代二恶英，３周内最多可降解４５％，但随氯取代数的增加而降解能力减弱，多数菌株不能降解三氯代二恶英，选择邻二氯苯为共代谢物的初级营养物，４１号株３周内可降解３３％三氯代苯基二恶英，说明选择适当的共代谢物，可改善微生物对高氯代二恶英的降解性。     

海水中二甲基硫测定方法的研究

二甲基硫（ＤＭＳ）是雨水天然酸性的贡献者和影响气候变化的重要痕量气体，本文海水中ＤＭＳ测定方法，即采用冷却预浓缩技术处理海水样品，用带有火焰光度检测器气相色谱仪分析，此方法的精密度为１２％，准确度为１０％，对１００ｍｌ海水样品最小检测量为０．０５４ｎｇ（ＤＭＳ）。同时对色谱柱的选取，实验材料的选择，浓缩柱填充材料的选择，鼓气效率，干燥管，样品解析，样品保存等有关实验步骤进行了讨论。     

风险分析：优化环境管理工作的有力手段

识别和评价危险是有效风险管理的量重要的阶段，最佳方法论或技术的选择取决于各种因素，例如问题类型，研究范围，所寻求的结果，可获取的信息，风险概率和可供利用的资源，选定“最佳方法”的先决条件是了解所有这些要素，方法论的选择以按所涉及的活动分类的问题类型为基础：制造，技术装置，产品推出等，为了更好分析较大的系统必须分成若干子系统，目的和所寻求的结果也是主要因素，例如：进行风险分类，以确定研究部门，优先任     

PEG双缩水甘油醚交联壳聚糖的制备及其对金属离子的吸附性能

以壳聚糖为原料，以聚乙二醇（ＰＥＧ）双缩水甘油醚为联剂，合成了一种新型凝胶树脂，并研究了其对金属离子（Ｃｕ（Ⅱ），Ｎｉ（Ⅱ），Ｃｏ（Ⅱ），静态吸附性能，测定了吸附等温线和吸附动力学曲线，结果表明，该吸附对Ｃｕ（Ⅱ）离子具有较强的吸附能力；在Ｃｕ（Ⅱ），Ｎｉ（Ⅱ）Ｃｏ（Ⅱ）三种离子共存时，能选择吸附Ｃｕ（Ⅱ），其选择系数分别为     

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.     

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     

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).