长江口邻近海域表层沉积物中的细菌藿多醇及对低氧区的响应判别

作为新型细菌生物标志物的细菌藿多醇（bacteriohopanepolyols,BHPs）在有机质来源追踪和环境变化响应等方面有明确的指示作用.本文应用高效液相色谱串联大气压化学电离源质谱法（HPLC-APCI-MS）分析,在解析长江口邻近海域表层沉积物中BHPs的组成、分布和来源特征基础上,探讨了BHPs对长江口邻近海域季节性低氧的指示作用.结果表明,长江口邻近海域表层沉积物中共检测出12种BHPs,其含量范围（以TOC计）为3.79~269 μg·g^-1.BHPs以细菌藿四醇（bacteriohopanetetrol,BHT）、2-甲基BHT、氨基BHPs和腺苷藿烷及同系物为主要组分,分别占总量的40%、22%、12%和4%.各组分含量及相应指标呈现出明显的空间变化趋势,其中,主要来源于海洋自生来源的BHT呈现明显的"离岸增加"趋势;主要为陆源贡献的腺苷藿烷等土壤标志物BHPs呈现明显的"离岸降低"特征.Rsoil指数呈现出与腺苷藿烷等土壤标志物BHPs相似的空间分布格局,其陆源有机质贡献从近岸的61.5%下降至外海的1.66%,表明长江口邻近海域近岸有机质主要为陆源输入,而外海主要为海源贡献.细菌藿四醇同分异构体BHT-Ⅱ来源于厌氧氨氧化细菌,其相对含量的高值区与长江口低氧区分布相一致,且与底层水溶解氧（DO）含量呈显著负相关,表明低氧环境有利于BHT-Ⅱ的生成,BHT-Ⅱ可用于指示海洋低氧区环境特征.     

组织氛围对建筑工人不安全行为的影响机理及实证研究

为了研究组织氛围对建筑工人不安全行为的影响,从班组级安全氛围、班组级安全教育和项目级安全氛围三个层面测量组织氛围,基于组织氛围与安全态度、不安全动机及安全能力之间的关系,构建建筑工人不安全行为发生的机理。通过23个项目267份有效问卷收集数据,采用结构方程模型（SEM）进行验证,采用决策试验和评价实验室（DEMATEL）进一步计算和分析各潜变量之间的影响度和被影响度。研究结果表明:班组级安全氛围对安全态度、班组级安全教育对安全态度、安全能力对安全态度、安全态度对安全动机的影响显著;安全动机和安全能力对不安全行为的影响显著;班组级安全氛围、班组级安全教育和项目级安全氛围之间相互关系显著;班组级安全氛围、班组级安全教育和项目级安全教育是典型的原因影响因素,通过安全态度共同影响不安全行为。根据研究结果,提出应对措施,可为安全管理工作提供理论指导。     

基于扎根理论的矿工不安全行为成本和收益识别

为了减少矿工不安全行为的发生,以陕西煤业化工集团神南矿业公司为研究样本,基于扎根理论对矿工不安全行为成本和矿工不安全行为收益进行识别,通过实地访谈收集资料,将访谈内容进行编码处理,建立矿工不安全行为成本和收益识别的概念模型,并以此构建矿工不安全行为成本和收益识别的动态模型图;最后,通过模型理论饱和度检验,证明模型中展现的脉络关系是饱和的。研究结果表明:矿工自身的安全意识、人口统计特征因素及情景因素,对矿工不安全行为成本和收益有着重要影响;风险成本、预备成本和实施成本构成矿工不安全行为成本,精神收益和物质收益构成矿工不安全行为收益。     

基于结构方程模型的农户清洁能源应用行为决策研究

推进农户应用清洁能源对于促进农村生态建设至关重要。本文将农户清洁能源应用行为视为是一个"外部情境因素-内部心理因素-农户清洁能源应用行为"的过程,基于环境行为理论和技术接受模型,构建出农户清洁能源应用行为影响因素概念模型。利用江西省农户的调查数据,运用结构方程模型从农户购买行为和使用行为两个维度,研究农户清洁能源应用行为的影响因素,以及这些因素的作用机理。研究表明,情境因素(经济激励政策、自愿活动、宣传教育、清洁能源产品属性)以农户感知为中介,进而正向影响农户清洁能源使用行为,从众心理、行为便利性直接正向影响农户清洁能源使用行为;生态价值观和感知因素在经济激励政策与农户清洁能源购买行为之间起到部分中介效应,行为便利对农户清洁能源购买行为有直接正向影响;相对于经济激励政策,农户自愿活动对提升农户生态价值观会更有效;在影响农户感知的四个情景因素(经济激励政策、自愿活动、宣传教育、清洁能源产品属性)中,自愿活动对农户感知的正向影响程度最大;对农户清洁能源购买行为正向影响程度最大的是经济激励政策,对农户清洁能源使用行为正向影响程度最大的是行为便利性。基于上述结论,提出以下政策建议:政府要扩大清洁能源产品补贴的范围,加大农户购买清洁能源产品的补贴力度,降低农户购买清洁能源产品的成本;加强清洁能源知识、环境保护的宣传教育,提升农村居民的环境责任感,增强农村居民的生态环境价值观;完善农村清洁能源应用服务体系,提升农户应用清洁能源的易用性感知;充分发挥清洁能源示范村的辐射效应,增强农户应用清洁能源有用性感知;引导基层村干部、党员或环保意识强的农户率先应用清洁能源,在从众心理作用下,促使更多的农户应用清洁能源。     

西南燃煤型地方病区煤炭和土壤中氟、钼的地球化学行为

氟和钼是广泛存在于表生环境中的人体必需微量元素,但过量摄入会影响人体健康,甚至会诱发地方性疾病.西南燃煤型地方病区部分煤炭和土壤中存在氟、钼富集的情况.本文系统介绍了氟和钼的元素地球化学行为特征和健康危害效应,综述了氟和钼在西南地区高氟高钼地质背景的燃煤型地方病区煤炭和土壤中的分布特征和赋存形态,分析了燃煤型地方病区煤...     

Can imitation explain dialect origins?

Imitation is one of the central processes underlying learning. Although the mechanisms of imitation at the individual level have received considerable attention, the population effects of imitative behavior have scarcely been investigated. In this paper I address the problem of self-organization at the population level emerging from imitative behavior between individuals. The model considered is a modification of that developed by Durrett and Levin [Durrett, R., Levin, S.A., 2005. Can stable social groups be maintained by homophilous imitation alone? J. Econ. Behav. Organ. 57, 267–286] in investigation of the coexistence of social groups. I modified the previous model in order to approach it in describing not only human societies but also animal populations with simpler cultures. In contrast with the other studies, I do not assume any payoffs related to imitation behavior and the existence of social rank. Individuals are assumed to be of equal rank and to accept opinions of others in proportion to their similarity (homophilous imitation). The symmetrical structure of interactions induces random drift and development of stable self-organized social groups in both homogeneous and spatially distributed societies. This type of self-organization may be widely distributed in natural systems, where imitative behavior takes place. In particular, it can be involved in origins of dialects and ring species.     

Thermodynamics of irreversible processes and quantum field theory: An interplay for the understanding of ecosystem dynamics

Ecological modelling has not yet received from basic “hard” sciences, like conventional physics and chemistry, an adequate conceptual support. Mechanistic simulation techniques are very far from achieving a satisfactory understanding of ecosystem dynamics.     

Modelling dispersal with diffusion and habitat selection: Analytical results for highly fragmented landscapes

Quantifying dispersal is crucial both for understanding ecological population dynamics, and for gaining insight into factors that affect the genetic structure of populations. The role of dispersal becomes pronounced in highly fragmented landscapes inhabited by spatially structured populations. We consider a landscape consisting of a set of habitat patches surrounded by unsuitable matrix, and model dispersal by assuming that the individuals follow a random walk with parameters that may be specific to the habitat type. We allow for spatial variation in patch quality, and account for edge-mediated behavior, the latter meaning that the individuals bias their movement towards the patches when close to an edge between a patch and the matrix. We employ a diffusion approximation of the random walk model to derive analytical expressions for various characteristics of the dispersal process. For example, we derive formulae for the time that an individual is expected to spend in its current patch i, and for the time that it will spend in the matrix, both conditional on the individual hitting next a given patch j before hitting any of the other patches or dying. The analytical formulae are based on the assumptions that the landscape is infinitely large, that the patches are circularly shaped, and that the patches are small compared to interpatch distances. We evaluate the effect of these assumptions by comparing the analytical results to numerical results in a real patch network that violates all of the three assumptions. We then consider a landscape that fulfills the assumptions, and show that in this case the analytical results are in a very good agreement with the numerical results. The results obtained here allow the construction of computationally efficient dispersal models that can be used as components of metapopulation models.     

Differential aggressiveness between fire salamander (<Emphasis Type="Italic">Salamandra infraimmaculata</Emphasis>) larvae covaries with their genetic similarity

Responding differentially to kin and non-kin is known to be adaptive in many species. One example is the inclusive fitness benefits of reducing aggression toward closer relatives. Little is known, however, about the ability of animals to assess differential degrees of genetic relatedness and to respond accordingly with differential levels of aggression. In the present study, we tested whether aggressiveness between body mass-matched pairs of fire salamander (Salamandra infraimmaculata) larvae covaried with the genetic similarity between them. We quantified aggressiveness at three levels of genetic similarity by selecting pairs within and across pools from recently genotyped populations. We also assessed aggression between pairs of siblings. Aggression and associated injuries decreased as genetic similarity increased across the groups. These findings suggest that cannibalistic salamanders can assess their degree of genetic relatedness to conspecifics and vary their behavioral responses depending on the degree of similarity between them along a genetic relatedness continuum.     

The interplay between foraging mode, habitat structure, and predator presence in antlions

Antlion larvae are sand-dwelling insect predators, which ambush small arthropod prey while buried in the sand. In some species, the larvae construct conical pits and are considered as sit-and-wait predators which seldom relocate while in other species, they ambush prey without a pit but change their ambush site much more frequently (i.e., sit-and-pursue predators). The ability of antlion larvae to evade some of their predators which hunt them on the sand surface is strongly constrained by the degree of sand stabilization or by sand depth. We studied the effect of predator presence, predator type (active predatory beetle vs. sit-and-pursue wolf spider), and sand depth (shallow vs. deep sand) on the behavioral response of the pit building Myrmeleon hyalinus larvae and the sit-and-pursue Lopezus fedtschenkoi larvae. Predator presence had a negative effect on both antlion species activity. The sit-and-wait M. hyalinus larvae showed reduced pit-building activity, whereas the sit-and-pursue L. fedtschenkoi larvae decreased relocation activity. The proportion of relocating M. hyalinus was negatively affected by sand depth, whereas L. fedtschenkoi was negatively affected also by the predator type. Specifically, the proportion of individual L. fedtschenkoi that relocated in deeper sand was lower when facing the active predator rather than the sit-and-pursue predator. The proportion of M. hyalinus which constructed pits decreased in the presence of a predator, but this pattern was stronger when exposed to the active predator. We suggest that these differences between the two antlion species are strongly linked to their distinct foraging modes and to the foraging mode of their predators. Reut Loria and Inon Scharf contributed equally to the paper.