体育场馆内PM_(2.5)暴露对运动大鼠行为学及相关无氧代谢酶活性的影响

通过非暴露式气管滴注法建立损伤模型,按照低、中、高3种剂量细颗粒物(PM_(2.5))进行染毒,以研究不同浓度PM_(2.5)对运动大鼠行为学及部分无氧代谢酶活性的影响。实验选取32只雄性Wistar SPF(specific pathogen free,SPF)大鼠随机分为运动对照组(EC)、高剂量运动组(30 mg·kg~(-1))(HPE)、中剂量运动组(15 mg·kg~(-1))(MPE)、低剂量运动组(7.5 mg·kg~(-1))(LPE),利用卒中指数和神经病学症状评分对大鼠的行为学进行评价,通过酶联免疫法(ELISA)测定大鼠血清、肺泡灌洗液(BALF)以及股四头肌组织中己糖激酶(HK)、丙酮酸激酶(PK)、磷酸果糖激酶(PFK-1)的活性。结果表明,与EC相比,3个剂量暴露组中,卒中指数和神经病学症状评分差异均有统计学意义;LPE、MPE、HPE组各组织中HK、PK、PFK-1活性均下降,差异有统计学意义(P0.05或P0.01)。综上所述,急性PM_(2.5)暴露可对大鼠行为学产生不利的影响,使大鼠部分组织的无氧代谢酶酶活性降低,影响机体的运动能力。     

环境污染物计算毒理学分析及环境行为模拟研究进展

根据国内外研究报道,系统地总结了计算毒理学和化合物环境行为模拟在环境科学领域的研究进展,包括二者的概念、理论、研究方法以及在环境研究中的应用;分析了计算毒理学和化合物环境行为模拟在发展中所面临的挑战,并提出对策;展望了计算毒理学和化合物环境行为模拟在环境研究中的发展前景。     

传统生存方式变迁对农村环境的影响

随着农村社会经济的发展,农户的生存方式开始逐步由传统的生存方式逐步转变为现代的生存方式。在具体的案例研究过程中,我们既可以看到传统生存方式的环境友好的一面,也可以看到传统生存方式变迁过程中农户经济行为变化对于农村环境的不利影响。与此同时,社会经济发展过程中,新的现代生产生活要素的介入,在不断使农户的生活逐步走向现代化的同时,也带来了种种环境问题。总之,农村环境问题的产生既有传统生存方式本身存在的问题,也来自于生存方式变迁过程中新的外部物质的介入,因此,对于农村环境的改善需要同时从这两方面着手,在改善农户生存方式的同时,更要从根本上控制外部的污染物质的介入。     

Foraging responses of wild house mice to accumulations of conspecific odor as a predation risk

Many predators hunt using the social and waste odors of their prey. It is unknown, however, whether potential prey modify their behavior in response to the risks of predation associated with accumulations of conspecific odor. We examined this question by measuring foraging trade-offs of wild house mice (Mus domesticus) in the field where we increased both predation risk and conspecific odor at artificial food patches in a two-factor design. Mouse giving-up densities (GUDs) were significantly higher in open habitats than in closed habitats but did not differ with the addition of mouse odors. Fine-scale behavioral observations of captive mice confirmed their attraction to the conspecific odor in an enclosure experiment, without any change to the GUD. These results indicate that house mice continue to visit and forage at food patches despite accumulations of predator-attracting odors. This most likely occurs for the social benefits obtained from conspecific odor exploration; however, such behavior may cause mice to become vulnerable to considerable olfactory exploitation by their predators. Future work must therefore focus on how mice trade off the social benefits of investigating odors that also attract their enemies.     

Does information of predators influence general wariness?

Antipredator behavior includes several qualitatively distinct activities, but few studies have determined the degree to which these activities are independent. If behaviors are not independent, then the nature of the relationship would illustrate potential performance constraints. We studied crimson rosellas (Platycercus elegans) and first focused on acoustic predator discrimination. We measured time allocation before and after playback of one of three experimental treatments (peregrine falcons—Falco peregrinus, wedge-tailed eagles—Aquila audax, and crimson rosellas) to determine whether or not rosellas discriminated predators from non-predators, and specifically whether or not they discriminated large from small predators. We then focused on the decision to flee. We experimentally approached subjects and measured the distance at which they oriented to us (alert distance) and the distance at which they fled (flight initiation distance; FID). We found that rosellas could distinguish among predators; however, there was no effect on general wariness as measured by FID. These two processes of antipredator behavior may, thus, be independent.     

Elk decision-making rules are simplified in the presence of wolves

The risk of predation drives many behavioral responses in prey. However, few studies have directly tested whether predation risk alters the way other variables influence prey behavior. Here we use information theory (Akaike’s Information Criterion, AICc) in a novel way to test the hypothesis that the decision-making rules governing elk behavior are simplified by the presence of wolves. With elk habitat use as the dependent variable, we test whether the number of independent variables (i.e., the size of the models) that best predict this behavior differ when wolves are present vs absent. Thus, we use AICc scores simply to determine the number of variables to which elk respond when making decisions. We measured habitat use using 2,288 locations from GPS collars on 14 elk, over two winters (14 elk winters), in the Gallatin Canyon portion of the Greater Yellowstone Ecosystem. We found that the use of three major habitat components (grass, conifer, sage) was sensitive to many variables on days that wolves were locally absent, with the best models (ΔAICc≤2) averaging 7.4 parameters. In contrast, habitat use was sensitive to few variables on days when wolves were present: the best models averaged only 2.5 parameters. Because fewer variables affect elk behavior in the presence of wolves, we conclude that elk use simpler decision-making rules in the presence of wolves. This simplification of decision-making rules implies that predation risk imposes selection pressures that do not allow prey to respond to other pressures in ways that they otherwise would. If the affected processes are important, then this indirect effect of predation is likely to be important.     

基于SCP模型的节能环保市场分析研究

从需求角度出发,区分了节能环保产业中三种不同类型的市场,然后以SCP模型为分析框架,对三种不同类型的市场结构、企业行为和绩效进行了分析和比较,归纳了节能环保产业中不同类型的市场所存在的问题和解决思路。     

创意产业集聚区外部交往空间规划探索——“心理-行为-空间”互动视角下的实证研究

创意产业集聚区在促进创意产业发展、优化城市空间结构等方面具有重要意义,而以满足创意阶层特征和需求的创意产业集聚区内部公共空间规划的研究相对较少。从创意阶层交往的“心理-行为-空间”这一互动视角出发,选取南京具有代表性的“创意东8区”为研究对象,通过调查问卷、深入访谈和实地观察对创意阶层的“交往心理-交往行为-交往空间”进行了研究。在此基础上,从人口交往空间、中心交往空间、节点交往空间、道路交往空间等方面提出符合创意阶层心理和行为特征,并能促进交往产生的外部交往空间规划设计建议。     

Addressing climate change: Determinants of consumers' willingness to act and to support policy measures

Consumers influence climate change through their consumption patterns and their support or dismissal of climate mitigation policy measures. Both climate-friendly actions and policy support comprise a broad range of options, which vary in manifold ways and, therefore, might be influenced by different factors. The aims of the study were, therefore, two-fold: first, we intended to find a meaningful way to classify different ways of addressing climate change. Second, we aimed to examine which determinants influence people's willingness to engage in these behaviors. We conducted a large-scale mail survey in Switzerland in which respondents rated, among other items, their willingness to act or support a range of possible actions and mitigations measures. A principal component analysis indicated that a distinction in terms of a behavior's directness as well as a differentiation according to perceived costs seem to be appropriate to classify climate-friendly actions. Multiple regression analyses showed that perceived costs and perceived climate benefit turned out to be the strongest predictors for willingness to act or to support climate policy measures. The strong influence of perceived climate benefit might reflect a strategy of reducing cognitive dissonance. As high-cost behaviors are more difficult to adopt, consumers may reduce dissonance by dismissing high-cost behaviors as not effective in terms of climate mitigation. Political affiliation proved to be another strong determinant of willingness to act or support. Participants on the right wing were less willing to show indirect climate-friendly behaviors, change their mobility behaviors, and to support any type of climate mitigation policy measures. Climate-friendly low-cost behaviors, however, were not influenced by political affiliation.