城市土地资源中生态环境承载力指标体系的构建及应用——以北京市为例

根据DPSIR模型构建了城市土地资源中生态环境承载力的指标体系,该体系的创新之处在于通过结构化的指标设计将生态环境与人口、经济、社会发展和管理等其他要素纳入统一分析框架,充分考察了各要素之间的密切关联。在实证分析方面,以北京市为例,对其2011—2014年土地资源中生态环境承载力的相关指标变动趋势情况进行分析。结果表明:人口增长与经济增长两大驱动力指标持续上升,对土地资源带来的压力持续存在且逐年增大;城市建设用地的压力不断增大,居住用地造成的压力最为显著;从反应指标和状态指标看,北京市在努力加强城市绿化和生态保护工作,但影响指标目前尚无显著改善,大气污染和水资源短缺等情况仍不容乐观。最后,针对如何评价和提升城市土地资源中生态环境的承载力提出了政策建议。     

基于控制单元划分的大辽河流域污染物空间分布及来源解析

为明确大辽河流域污染物特征及污染物来源,建立“流域—控制单元—行政区”空间拓扑关系,对2019年大辽河流域国控断面水质情况、各控制单元内污染物入河量及空间分布特征进行分析。结果表明：1）大辽河流域28个水质监测断面中,逐月水质均能达到《水污染防治行动计划》中考核目标的占29%,超标污染物以COD、NH₃-N为主,超标断面中,COD、NH₃-N主要来源为城镇生活源、农村生活源和分散式畜禽养殖,TP主要来源于不同土地利用类型污染源和城镇生活源;2）2019年COD、NH₃-N、TN、TP污染物入河量分别为59 195.5、3 115.5、18 229.7、538.3 t/a,从污染源贡献上看,总体呈现为城镇生活源>农村生活源>分散式畜禽养殖污染源>不同土地利用类型（含林地、草地、耕地、城镇用地）污染源>工业源>规模化畜禽养殖污染源;3）污染物入河量空间分布均呈现中部>西南部>东北部,其中控制单元C3、C6、C8、C11、C13、C15、C17是重点管控单元,以上重点管控单元中,COD、NH₃-N、TN、TP污染物入河量贡献率分别为68%、73%、77%、72%;4）污染物入河量估算结果与通量模拟值之间误差均小于20%,可用于研究区范围内污染负荷估算。

     

Incorporating Uncertainty into Management Models for Marine Mammals

Abstract: Good management models and good models for understanding biology differ in basic philosophy. Management models must facilitate management decisions despite large amounts of uncertainty about the managed populations. Such models must be based on parameters that can be estimated readily, must explicitly account for uncertainty, and should be simple to understand and implement. In contrast, biological models are designed to elucidate the workings of biology and should not be constrained by management concerns. We illustrate the need to incorporate uncertainty in management models by reviewing the inadequacy of using standard biological models to manage marine mammals in the United States. Past management was based on a simple model that, although it may have represented population dynamics adequately, failed as a management tool because the parameter that triggered management action was extremely difficult to estimate for the majority of populations. Uncertainty in parameter estimation resulted in few conservation actions. We describe a recently adopted management scheme that incorporates uncertainty and its resulting implementation. The approach used in this simple management scheme, which was tested by using simulation models, incorporates uncertainty and mandates monitoring abundance and human-caused mortality. Although the entire scheme may be suitable for application to some terrestrial and marine problems, two features are broadly applicable: the incorporation of uncertainty through simulations of management and the use of quantitative management criteria to translate verbal objectives into levels of acceptable risk.     

Cu在扇贝组织中的蓄积及其对酶活性的影响

采用暴露实验方法，研究了不同浓度的Cu（Cu^2＋）对栉孔扇贝（Chlamys farreri）鳃、肌肉、内脏团组织中Cu蓄积量及过氧化氢酶（CAT）活性的影响．结果表明：随水体中Cu浓度的升高，扇贝各组织中Cu蓄积量明显上升，Cu蓄积量顺序为：内脏〉鳃〉肌肉．Cu浓度对栉孔扇贝各组织中过氧化氢酶（CAT）活性均有明显影响，各组织中酶活性均随Cu浓度升高表现为抑制-诱导-抑制的规律．这表明，栉孔扇贝各组织中CAT酶对水体中Cu污染反映敏感，存在计量-效应关系，对海洋Cu早期污染具有指示作用．图2表1参19     

Empirical likelihood confidence intervals for adaptive cluster sampling

Adaptive cluster sampling (ACS) is an efficient sampling design for estimating parameters of rare and clustered populations. It is widely used in ecological research. The modified Hansen-Hurwitz (HH) and Horvitz-Thompson (HT) estimators based on small samples under ACS have often highly skewed distributions. In such situations, confidence intervals based on traditional normal approximation can lead to unsatisfactory results, with poor coverage properties. Christman and Pontius (Biometrics 56:503–510, 2000) showed that bootstrap percentile methods are appropriate for constructing confidence intervals from the HH estimator. But Perez and Pontius (J Stat Comput Simul 76:755–764, 2006) showed that bootstrap confidence intervals from the HT estimator are even worse than the normal approximation confidence intervals. In this article, we consider two pseudo empirical likelihood functions under the ACS design. One leads to the HH estimator and the other leads to a HT type estimator known as the Hájek estimator. Based on these two empirical likelihood functions, we derive confidence intervals for the population mean. Using a simulation study, we show that the confidence intervals obtained from the first EL function perform as good as the bootstrap confidence intervals from the HH estimator but the confidence intervals obtained from the second EL function perform much better than the bootstrap confidence intervals from the HT estimator, in terms of coverage rate.     

Life history costs of olfactory status signalling in mice

Large body size confers a competitive advantage in animal contests but does not always determine the outcome. Here we explore the trade-off between short-term achievement of high social status and longer-term life history costs in animals which vary in competitive ability. Using laboratory mice, Mus musculus, as a model system, we show that small competitors can initially maintain dominance over larger males by increasing investment in olfactory status signalling (scent-marking), but only at the cost of reduced growth rate and body size. As a result they become more vulnerable to dominance reversals later in life. Our results also provide the first empirical information about life history costs of olfactory status signals. Received: 15 December 1999 / Revised: 6 June 2000 / Accepted: 24 June 2000