我国的农业面源污染及改善对策探讨

阐述了农业面源污染的主要来源及危害,指出农业面源污染是当前农业可持续发展的主要障碍之一。由于我国农村过量和不合理地使用农药、化肥、地膜等,造成了农业面源不同程度的污染,给农业生产和农民生活带来了隐患,直接关系到农业可持续发展,应该采取有效措施加以解决。     

乌鲁木齐市噪声监测现状、问题及对策

简要介绍了乌鲁木齐市噪声环境监测工作的现状,在主城区选择了具有代表意义的点位,采用"定点监测法"与"普查监测法"进行监测,对影响乌鲁木齐市声环境质量的生活噪声、交通噪声、工业噪声和建筑施工噪声做了定点或连续(24h在线)监测。就存在的问题做了分析探讨,并提出了相应的对策建议,以期为进一步改进乌鲁木齐市噪声监测和管理提供参考。     

Managing the Three-Rivers Headwater Region, China: From Ecological Engineering to Social Engineering

The three-rivers headwater region (THRHR) of Qinghai province, China plays a key role as source of fresh water and ecosystem services for central and eastern China. Global warming and human activities in the THRHR have threatened the ecosystem since the 1980s. Therefore, the Chinese government has included managing of the THRHR in the national strategy since 2003. The State Integrated Test and Demonstration Region of the THRHR highlights the connection with social engineering (focus on improving people’s livelihood and well-being) in managing nature reserves. Based on this program, this perspective attempts a holistic analysis of the strategic role of the THRHR, requirements for change, indices of change, and approaches to change. Long-term success of managing nature reserves requires effective combination of ecological conservation, economic development, and social progress. Thus, the philosophy of social engineering should be employed as a strategy to manage the THRHR.     

Novel Organisms: Comparing Invasive Species, GMOs, and Emerging Pathogens

Invasive species, range-expanding species, genetically modified organisms (GMOs), synthetic organisms, and emerging pathogens increasingly affect the human environment. We propose a framework that allows comparison of consecutive stages that such novel organisms go through. The framework provides a common terminology for novel organisms, facilitating knowledge exchange among researchers, managers, and policy makers that work on, or have to make effective decisions about, novel organisms. The framework also indicates that knowledge about the causes and consequences of stage transitions for the better studied novel organisms, such as invasive species, can be transferred to more poorly studied ones, such as GMOs and emerging pathogens. Finally, the framework advances understanding of how climate change can affect the establishment, spread, and impacts of novel organisms, and how biodiversity affects, and is affected by, novel organisms.     

Beyond selectivity: Are behavioral avoidance and hormesis likely causes of pyrethroid-induced outbreaks of the southern red mite Oligonychus ilicis?

Secondary pest outbreak is a counterintuitive ecological backlash of pesticide use in agriculture that takes place with the increase in abundance of a non-targeted pest species after pesticide application against a targeted pest species. Although the phenomenon was well recognized, its alternative causes are seldom considered. Outbreaks of the southern red mite Oligonychus ilicis are frequently reported in Brazilian coffee farms after the application of pyrethroid insecticides against the coffee leaf miner Leucoptera coffeella. Selectivity favoring the red mite against its main predatory mites is generally assumed as the outbreak cause, but this theory has never been tested. Here, we assessed the toxicity (and thus the selectivity) of deltamethrin against both mite species: the southern red mite and its phytoseid predator Amblyseius herbicolus. Additionally, behavioral avoidance and deltamethrin-induced hormesis were also tested as potential causes of red mite outbreak using free-choice behavioral walking bioassays with the predatory mite and life-table experiments with both mite species, respectively. Lethal toxicity bioassays indicated that the predatory mite was slightly more susceptible than its prey (1.5×), but in more robust demographic bioassays, the predator was three times more tolerant to deltamethrin than its prey, indicating that predator susceptibility to deltamethrin is not a cause of the reported outbreaks. The predator did not exhibit behavioral avoidance to deltamethrin; however insecticide-induced hormesis in the red mite led to its high population increase under low doses, which was not observed for the predatory mite. Therefore, deltamethrin-induced hormesis is a likely cause of the reported red mite outbreaks.     

上海火电厂烟气脱硫现状分析与建议

介绍了上海火电厂烟气脱硫的现状,对脱硫工艺选择、脱硫效率进行了分析。阐明了我国烟气脱硫普遍选用的石灰石一石膏湿法脱硫的特点和局限性,探讨了建立SO2排污权交易制度的必要性和可行性,分析了烟气脱硫装置存在的问题及预防措施。     

甘肃省风力发电现状及发展对策

介绍了甘肃省的风力资源及风力发电的发展现状,重点阐述了白银地区、玉门地区、酒泉瓜州、金昌地区、敦煌地区和武威地区等几个具有代表性地区的风能资源优势及风电建设情况,指出了甘肃省风力发电在技术和政策等方面目前还存在的主要问题,分析了产生这些问题的原因,提出了促进甘肃省风力发电事业发展的对策。     

基于全过程控制的铁路建设项目生态环境保护发展状况评估

铁路建设项目的生态环境影响在其全生命周期内各时期有不同的表现形式.在阐述不同时期应重点关注的生态环境保护问题的基础上,从全过程控制角度,建立了涵盖前期规划、建设期、运营期3个阶段的铁路建设项目生态环境保护发展状况评估指标体系,运用层次分析法对各指标进行权重评定.根据权重计算结果对铁路建设项目生态环境保护工作中重要时期及...     

工业锅炉烟气脱硫技术研究

本文针对我国工业锅炉中SO_2的排放情况,对烟气脱硫方法进行了分析讨论,并介绍一种新型高效脱硫除尘器。     

Species distribution modelling—Effect of design and sample size of pseudo-absence observations

We explored the effect of varying pseudo-absence data in species distribution modelling using empirical data for four real species and simulated data for two imaginary species. In all analyses we used a fixed study area, a fixed set of environmental predictors and a fixed set of presence observations. Next, we added pseudo-absence data generated by different sampling designs and in different numbers to assess their relative importance for the output from the species distribution model. The sampling design strongly influenced the predictive performance of the models while the number of pseudo-absences had minimal effect on the predictive performance. We attribute much of these results to the relationship between the environmental range of the pseudo-absences (i.e. the extent of the environmental space being considered) and the environmental range of the presence observations (i.e. under which environmental conditions the species occurs). The number of generated pseudo-absences had a direct effect on the predicted probability, which translated to different distribution areas. Pseudo-absence observations that fell within grid cells with presence observations were purposely included in our analyses. We discourage the practice of excluding certain pseudo-absence data because it involves arbitrary assumptions about what are (un)suitable environments for the species being modelled.