水平潜流人工湿地氮磷去除回归方程的建立

为考察水平潜流人工湿地对于生活污水中主要污染物指标TN、TP的去除率,建立更为详细的人工湿地回归方程,用以指导人工湿地设计,按照黑箱模型理论,将搜集的500多组数据按照季节、水力负荷、种植植物类型等分类,分析不同因素对于人工湿地去除效果的影响,确定了以季节和水力负荷作为建立回归方程的最主要分类依据.以此为基础,按照线性回归的方法,建立了TN、TP去除率回归方程共12组,所得的拟合优度R2值在0.65~0.95之间,精确性有了很大提高.     

旅游地旅游者忠诚度机制模型及实证研究——以黄山风景区为例

旅游地忠诚的旅游者是其发展的重要资源,旅游者忠诚度机制研究有利于更全面地认识旅游者忠诚现象,帮助旅游地管理者制定有效的旅游者忠诚培育的战略。在文献回顾的基础上,尝试从交易过程、关系过程相结合的视角分析影响旅游地忠诚的要素,并尝试构建旅游地旅游者忠诚度机制的理论模型。通过问卷调查获得旅游者感知价值、满意度、信任和忠诚度数据,采用结构方程模型方法,以黄山风景区为案例地进行实证分析,检验模型拟合度及各变量对旅游者忠诚度的影响。结果显示,在影响旅游者忠诚度的各因素中,满意度对旅游者忠诚度的影响最大,路径系数是0.41;信任是影响旅游者忠诚度的另一重要因素,路径系数是0.21。     

高校亲环境行为的影响因素研究?——基于大学生垃圾分类意愿视角

大学生作为社会经济发展的新兴力量,其垃圾分类等亲环境行为对提升整个社会的环境治理成效起到重要作用。本文基于计划行为理论与“知—信—行”模式,构建大学生垃圾分类意愿机理模型,对南京市在校大学生的垃圾分类意愿进行问卷调查,运用结构方程模型探究影响大学生垃圾分类意愿的关键因素,通过差异性检验探讨不同类型高校在关键因素上的差异,并通过多群组分析探讨性别、设施与服务体系在意愿影响上的差异性。研究结果表明：①环境认知会通过行为态度、知觉行为控制形成一个传导机制间接影响大学生垃圾分类意愿;②行为态度、知觉行为控制显著影响大学生垃圾分类意愿,而主观规范无显著影响;③调研高校学生的垃圾分类意愿水平存在异质性,表现为高职院校＞一般院校＞重点高校;④性别差异显著影响垃圾分类意愿,女生更容易受到主观规范的影响,而男生更容易受到知觉行为控制的影响;⑤设施与服务体系先进或落后,对垃圾分类意愿的影响无显著差异。据此,本文提出提升大学生群体垃圾分类意愿的对策建议,以期为培育大学生群体的亲环境行为及推进高校生活垃圾的分类治理提供决策参考。     

The effect of species response form on species distribution model prediction and inference

Ecological theory and current evidence support the validity of various species response curves according to a variety of environmental gradients. Various methods have been developed for building species distribution models but it is not well known how these methods perform under various assumptions about the form of the underlying species response. It is also not well known how spatial correlation in species occurrence affects model performance. These effects were investigated by applying an environmental envelope method (BIOCLIM) and three regression-based methods: logistic regression (LR), generalized additive modelling (GAM), and classification and regression tree (CART) to simulated species occurrence data. Each simulated species was constructed as a sum of responses with varying weights. Three basic species response curves were assumed: Gaussian (bell-shaped), Beta (skew) and linear. The two non-linear responses conform to standard ecological niche theory. All three responses were applied in turn to three simulated environmental variables, each with varying degrees of spatial autocorrelation. GAM produced the most consistent model performance over all forms of simulated species response. BIOCLIM and CART were inclined to underrate the performance of variables with a linear response. BIOCLIM was less sensitive to data density. LR was susceptible to model misspecification. The use of a linear function in LR underestimated the performance of variables with non-linear species response and contributed to increased spatial autocorrelation in model residuals. Omission of important environmental variables with non-linear species response also contributed to increased spatial autocorrelation in model residuals. Adding a spatial autocovariate term to the LR model (autologistic model) reduced the spatial autocorrelation and improved model performance, but did not correct the misidentification of the dominant environmental determinant. This is to be expected since the autologistic approach was designed primarily for prediction and not for inference. Given that various forms of species response to environmental determinants arise commonly in nature: (1) higher order functions should always be tested when applying LR in modelling species distribution; (2) spatial autocorrelation in species distribution model residuals can indicate that environmental determinants with non-linear response are missing from the model; and (3) deficiencies in LR model performance due to model misspecification can be addressed by adding a spatial autocovariate to the model, but care should be taken when interpreting the coefficients of the model parameters.     

Population dynamics models based on cumulative density dependent feedback: A link to the logistic growth curve and a test for symmetry using aphid data

Density dependent feedback, based on cumulative population size, has been advocated to explain and mathematically characterize “boom and bust” population dynamics. Such feedback results in a bell-shaped population trajectory of the population density. Here, we note that this trajectory is mathematically described by the logistic probability density function. Consequently, the cumulative population follows a time trajectory that has the same shape as the cumulative logistic function. Thus, the Pearl–Verhulst logistic equation, widely used as a phenomenological model for density dependent population growth, can be interpreted as a model for cumulative rather than instantaneous population. We extend the cumulative density dependent differential equation model to allow skew in the bell-shaped population trajectory and present a simple statistical test for skewness. Model properties are exemplified by fitting population trajectories of the soybean aphid, Aphis glycines. The linkage between the mechanistic underpinnings of the logistic probability density function and cumulative distribution function models could open up new avenues for analyzing population data.     

Organizational adoption of sustainable manufacturing practices in India: integrating institutional theory and corporate environmental responsibility

Organizations are increasingly engaging in socially and environmentally sustainable initiatives. This paper focuses on the institutional isomorphism mechanisms to analyse the organizational adoption of sustainable manufacturing practices like eco-design, source reduction, and environmental management practices. This paper empirically examines the role of institutional influence in the organizational adoption of sustainable manufacturing practices among firms in India. The results of this study confirm the significance of the three institutional isomorphism mechanisms in influencing sustainable responses, but not all mechanisms influence the organizational response equally. In particular, the results show a strong influence of self-regulatory normative isomorphism on the implementation.     

重金属对2-氯酚厌氧降解的抑制动力学研究

考察了Cu2+、Cd2+、Ni2+、Fe2+4种重金属离子对2-氯酚(2-CP)厌氧降解速率的影响,并通过描述金属离子抑制作用的修正方程对实验进行拟合,研究了其动力学特征.结果表明,在0~500mg/L投加浓度范围内,Fe2+对2-CP的厌氧降解过程基本不抑制,Ni2+、Cu2+、Cd2+则存在明显抑制,抑制程度Cu2+﹥Ni2+﹥Cd2+.相同的抑制强度下,抑制浓度CIP-Cu﹤CIP-Ni﹤CIP-Cd.修正方程能较好地表征金属离子的抑制作用与该离子对降解速率的最大抑制浓度(I*)以及投加浓度之间的定量关系.由该方程拟合结果可得到Cu2+、Cd2+、Ni2+对25mg/L 2-CP降解的I*值分别为458.7,1693.5,1528.5mg/L,I*及指数m值的大小表明金属离子对2-CP厌氧降解的抑制Cu2+﹥Ni2+﹥Cd2+.     

Structural equation-based latent growth curve modeling of watershed attribute-regulated stream sensitivity to reduced acidic deposition

Little information is available about the effects of watershed attributes on long-term stream chemical responses to reduced acidic deposition. Long-term chemical data (1980-2006) for 21 stream sites from the Appalachian Mountain region and data of 8 watershed attributes of the corresponding watersheds were analyzed to study such effects. Latent growth curve modeling (LGM), a structural equation modeling (SEM) approach, was conducted to quantify stream sensitivity to reduced acidic deposition in the region, and to model the initial chemical conditions (intercepts) and changing rates (slopes) in three time periods: 1980s, 1990s, and 2000s. The modeled chemical trends were generally consistent with those trends which were detected by trend analyses in a previous study. Watershed attributes including area, mean elevation, percentage of developed land, percentage of grassland, percentages of shale and sandstone, percentage of barren land, and percentage of soil type Gilpin-Upshur-Vandalia (GUV) were found to affect stream sensitivity to the reduced acidic deposition with their importance in the respective order. The stream sensitivity in turn regulated streams’ chemical initial conditions and their changing rates in the studied watersheds. This innovative application of LGM for modeling long-term chemical trends advanced our understanding of the role of watershed attributes in regulating streams’ responses to reduced acidic deposition. This approach can be applied for evaluating streams’ responses to acidic deposition in other regions and, more broadly, for studying causal effects on long-term behaviors in other ecological and environmental science subjects.     

西藏色季拉山川滇高山栎种群的空间格局与调节

川滇高山栎是青藏高原具有代表性的常绿阔叶树种,在藏东南林区大面积连续分布,对高山峡谷地带的水土保持和水源涵养具有重要的防护作用和较大的生态效益.采用聚集度指标、以空间推时间法的Logistic方程和种群调节的乘幂函数拟合分别对西藏色季拉山川滇高山栎种群的空间分布格局、增长与调节规律进行了研究.结果表明,川滇高山栎幼苗多呈聚集分布,随着演替的进展,川滇高山栎种群的聚集强度减小;川滇高山栎种群增长的环境容纳量为15.2085m2hm-2,内禀增长率为0.614;种群最大增长速率出现在胸断面积9.66m2hm-2处,种群在平均胸断面积46.23cm2(均胸径7cm)~198.723cm2(均胸径15.91cm)阶段自疏强度最大.川滇高山栎种群聚集强度随演替过程逐渐减弱,是种群在有限的环境容量中自疏和自我调节特征的明显表现.Logistic方程即反映了生物种群增长速度的变化和环境容量限制的时滞效应这一重要特征,种群调节的幂函数拟合则有效刻画了生物种群在大量繁殖之后,随着个体增大,个体间资源竞争增强,种群内部出现优胜劣汰的自我调节过程.图4表2参32