聚乙烯醇凝胶包埋固定化细菌联合植物的除氮研究

为了解聚乙烯醇(PVA)凝胶包埋固定化菌在富营养化水体生态修复中的效果,利用PVA凝胶包埋固定硝化和反硝化细菌并联合水芹(Oenanthe clecumbens)和蕹菜(Ipomoea aquatica)2种植物进行21 d的除氮试验。结果表明,加菌试验组TN、NH4+-N、NO3--N、NO2--N及TP去除率显著高于无菌试验组(P0.05);各试验组N的去除效率与添加PVA凝胶包埋固定硝化和反硝化细菌呈显著正相关(P0.05)。添加PVA凝胶固定硝化和反硝化细菌的蕹菜和水芹试验组植物的平均生长速率(RGR)分别为38.5和19.6 mg·g-1·d-1,而单纯蕹菜和水芹试验组RGR分别为29.9和9.5 mg·g-1·d-1。     

污水处理用聚乙烯醇凝胶的制备及结构与性能

采用化学交联法研究制备聚乙烯醇(PVA)固定化微生物凝胶用于污水处理,通过对固化剂种类、固化时间等制备工艺研究,获得了具有较高力学强度和通透性的PVA凝胶小球.对固化剂与PVA分子间相互作用、PVA凝胶交联程度及凝胶形貌进行了探讨分析.将所制备PVA凝胶小球用于污水处理,其COD去除率可达90%以上.     

包埋固定化微生物的特性研究

文章通过实验研究了PVA与海藻酸钠混合载体包埋固定化微生物系统降解有机物的过程,并对其特性进行了分析。结果发现运行初期凝胶体有凝胶溶出现象,第一天凝胶有机物溶出高达2 173 mg,随后溶出量减少,7～8天溶出停止;同时发现包埋后的微生物活性有损伤和恢复的过程,损伤时相对活性为0.27经过恢复可达到0.85;另外,凝胶的粒径和比重等物理特性也随时间变化,最后趋于稳定。一年多运行实验发现包埋凝胶体的抗持久性也较好。这些特性的探讨将为工程应用提供理论指导。     

Population viability of the Siberian Tiger in a changing landscape: Going, going and gone?

The Amur tiger (Panthera tigris altaica) is a flagship species of the boreal forest ecosystem in northeastern China and Russia Far East. During the past century, the tiger population has declined sharply from more than 3000 to fewer than 600 individuals, and its habitat has become much smaller and greatly fragmented. Poaching, habitat degradation, habitat loss, and habitat fragmentation have been widely recognized as the primary causes for the observed population decline. Using a population viability analysis tool (RAMAS/GIS), we simulated the effects of poaching, habitat degradation, habitat loss, and habitat fragmentation on the population dynamics and extinction risk of the Amur tiger, and then explored the relative effectiveness of three conservation strategies involving improving habitat quality and establishing movement corridors in China and Russia. A series of controlled simulation experiments were performed based on the current spatial distribution of habitat and field-observed vital rates. Our results showed that the Amur tiger population could be viable for the next 100 years if the current habitat area and quality were well-maintained, with poaching strictly prohibited of the tigers and their main prey species. Poaching and habitat degradation (mainly prey scarcity) had the largest negative impacts on the tiger population persistence. While the effect of habitat loss was also substantial, habitat fragmentation per se had less influence on the long-term fate of the tiger population. However, to sustain the subpopulations in both Russia and China would take much greater conservation efforts. The viability of the Chinese population of tigers would rely heavily on its connectivity with the largest patch on the other side of the border. Improving the habitat quality of small patches only or increasing habitat connectivity through movement corridors alone would not be enough to guarantee the long-term population persistence of the Amur tiger in both Russia and China. The only conservation strategy that allowed for long-term persistence of tigers in both countries required both the improvement of habitat quality and the establishment of a transnational reserve network. Our study provides new insights into the metapopulation dynamics and persistence of the Amur tiger, which should be useful in landscape and conservation planning for protecting the biggest cat species in the world.     

A stochastic model for estimating sustainable limits to wildlife mortality in a changing world

Human-caused mortality of wildlife is a pervasive threat to biodiversity. Assessing the population-level impact of fisheries bycatch and other human-caused mortality of wildlife has typically relied upon deterministic methods. However, population declines are often accelerated by stochastic factors that are not accounted for in such conventional methods. Building on the widely applied potential biological removal (PBR) equation, we devised a new population modeling approach for estimating sustainable limits to human-caused mortality and applied it in a case study of bottlenose dolphins affected by capture in an Australian demersal otter trawl fishery. Our approach, termed sustainable anthropogenic mortality in stochastic environments (SAMSE), incorporates environmental and demographic stochasticity, including the dependency of offspring on their mothers. The SAMSE limit is the maximum number of individuals that can be removed without causing negative stochastic population growth. We calculated a PBR of 16.2 dolphins per year based on the best abundance estimate available. In contrast, the SAMSE model indicated that only 2.3–8.0 dolphins could be removed annually without causing a population decline in a stochastic environment. These results suggest that reported bycatch rates are unsustainable in the long term, unless reproductive rates are consistently higher than average. The difference between the deterministic PBR calculation and the SAMSE limits showed that deterministic approaches may underestimate the true impact of human-caused mortality of wildlife. This highlights the importance of integrating stochasticity when evaluating the impact of bycatch or other human-caused mortality on wildlife, such as hunting, lethal control measures, and wind turbine collisions. Although population viability analysis (PVA) has been used to evaluate the impact of human-caused mortality, SAMSE represents a novel PVA framework that incorporates stochasticity for estimating acceptable levels of human-caused mortality. It offers a broadly applicable, stochastic addition to the demographic toolbox to evaluate the impact of human-caused mortality on wildlife.     

聚乙烯醇/氧化石墨插层纳米复合材料的结构和热分析

制备了聚乙烯醇/氧化石墨插层纳米复合材料,并用X-射线衍射仪和高分辨电镜对其结构进行了表征.X-射线衍射仪和高分辨电镜的试验结果表明,氧化石墨和聚乙烯醇插层氧化石墨的层间距分别为0.89 nm和1.4nm.该纳米复合材料的热分析和热失重图说明,氧化石墨的加入有利于提高聚乙烯醇/氧化石墨纳米复合材料的玻璃化转变温度和氧化温度,同时也降低了其热释放速率.     

Risk-Based Viable Population Monitoring

Abstract:  We describe risk-based viable population monitoring, in which the monitoring indicator is a yearly prediction of the probability that, within a given timeframe, the population abundance will decline below a prespecified level. Common abundance-based monitoring strategies usually have low power to detect declines in threatened and endangered species and are largely reactive to declines. Comparisons of the population's estimated risk of decline over time will help determine status in a more defensible manner than current monitoring methods. Monitoring risk is a more proactive approach; critical changes in the population's status are more likely to be demonstrated before a devastating decline than with abundance-based monitoring methods. In this framework, recovery is defined not as a single evaluation of long-term viability but as maintaining low risk of decline for the next several generations. Effects of errors in risk prediction techniques are mitigated through shorter prediction intervals, setting threshold abundances near current abundance, and explicitly incorporating uncertainty in risk estimates. Viable population monitoring also intrinsically adjusts monitoring effort relative to the population's true status and exhibits considerable robustness to model misspecification. We present simulations showing that risk predictions made with a simple exponential growth model can be effective monitoring indicators for population dynamics ranging from random walk to density dependence with stable, decreasing, or increasing equilibrium. In analyses of time-series data for five species, risk-based monitoring warned of future declines and demonstrated secure status more effectively than statistical tests for trend.     

Using global sensitivity analysis of demographic models for ecological impact assessment

Population viability analysis (PVA) is widely used to assess population‐level impacts of environmental changes on species. When combined with sensitivity analysis, PVA yields insights into the effects of parameter and model structure uncertainty. This helps researchers prioritize efforts for further data collection so that model improvements are efficient and helps managers prioritize conservation and management actions. Usually, sensitivity is analyzed by varying one input parameter at a time and observing the influence that variation has over model outcomes. This approach does not account for interactions among parameters. Global sensitivity analysis (GSA) overcomes this limitation by varying several model inputs simultaneously. Then, regression techniques allow measuring the importance of input‐parameter uncertainties. In many conservation applications, the goal of demographic modeling is to assess how different scenarios of impact or management cause changes in a population. This is challenging because the uncertainty of input‐parameter values can be confounded with the effect of impacts and management actions. We developed a GSA method that separates model outcome uncertainty resulting from parameter uncertainty from that resulting from projected ecological impacts or simulated management actions, effectively separating the 2 main questions that sensitivity analysis asks. We applied this method to assess the effects of predicted sea‐level rise on Snowy Plover (Charadrius nivosus). A relatively small number of replicate models (approximately 100) resulted in consistent measures of variable importance when not trying to separate the effects of ecological impacts from parameter uncertainty. However, many more replicate models (approximately 500) were required to separate these effects. These differences are important to consider when using demographic models to estimate ecological impacts of management actions.     

静电纺壳聚糖/聚乙烯醇纳米纤维膜对Cu~(2+)、Ni~(2+)及Cd~(2+)的吸附特性

采用SEM、FTIR、XRD、BET等技术对静电纺丝制得的吸附材料壳聚糖/聚乙烯醇(CS/PVA)纳米纤维膜进行表征,并通过对模拟重金属离子废水的吸附实验,系统考察了溶液pH、重金属离子(Cu2+、Ni2+及Cd2+)初始浓度和反应温度对吸附的影响.结果表明,在外加电压25kV、接触距离15.0 cm、纺丝速度0.15 m L·h-1的条件下,可制得CS/PVA质量比为20/80的连续无缺陷的平均直径76.31 nm、比表面积219.4m2·g-1的纤维膜.CS/PVA纳米纤维膜对重金属离子的吸附在2 h内达到平衡,其吸附容量随着温度的升高而升高,随着初始浓度的增大而增大,随着pH值的升高而提高,在pH=5.5时达到最大.在25℃和pH=5.5的条件下,用CS/PVA纳米纤维膜吸附浓度100 mg·L-1的Cu2+、Ni2+和Cd2+溶液,吸附容量分别为98.65、116.89和124.23 mg·g-1,且对重金属吸附无选择性.吸附过程符合Langmuir和Freundlich等温吸附模型,吸附动力学同时匹配准一级动力学模型和准二级动力学模型.热力学参数(ΔG、ΔH和ΔS)计算结果表明,CS/PVA纳米纤维膜对重金属离子的吸附是自发的吸热反应.     

倒置A2/O-MBR组合工艺处理生活污水效能及膜污染特性

将自制高强度PVA亲水化改性复合膜应用于倒置A2/O-MBR工艺中,处理模拟生活污水,考察了系统对COD、氨氮、总氮、总磷及浊度的去除效果以及膜性能的变化.结果表明,在不同回流比条件下,COD、氨氮、总磷等去除率变化不大,分别大于90%、95%、80%;回流比对总氮的去除效果有一定的影响,回流比为100%时去除率较低,当回流比从100%增加到300%时,去除率相应增大,在膜的高效截留作用下,膜出水浊度始终小于0.05NTU,控制膜通量为(12±0.5)L·(m2·h)-1,连续运行52 d,未对膜进行任何清洗,膜污染平均速率为13.22 Pa·h-1,膜污染进程缓慢.经FTIR分析,多糖和蛋白质是膜有机污染物的主要成分,多为亲水性物质.膜与污染物之间的微观作用力的测定表明LB为膜主要污染物,与FTIR分析一致.