广西桂东北地区农业土壤环境若干重金属元素背景值的调查

应用分层抽样统计方法,调查研究广西桂东北地区农业土壤环境Cu、Zn、Pb、Cd、Ni、As、Cr、Hg等8种重金属元素背景值,并分别求算出各元素背景值95％的置信区间。经方差分析,各成土母质间几种元素背景值都有不同程度差异。探讨了该区域农业土壤元素背景值与世界土壤、地壳丰度和国内土壤元素背景值的差异,为开展农业环境科学研究提供依据。     

天津污灌区苯并（a）芘、荧蒽和菲生态毒性的风险表征

运用概率风险评价方法表征和比较了天津污灌区3种多环芳烃对生物影响的风险性。根据各物质的环境暴露浓度和相应急性毒性值的累计概率分布曲线估计了各物质相对风险性的大小。采用联合概率曲线方式比较了不同暴露概率水平条件下3种多环芳烃的相对风险。结果表明，该地区目前菲的总体风险性高于另两种化合物，苯并（a)芘的总体风险性最低。而低暴露风险条件下（受威胁生物不超过20％），苯并（a)芘的风险较大，菲次之，荧蒽风险相对较低。     

Designatable Units for Status Assessment of Endangered Species

Abstract:  Species status assessment and the conservation of biological diversity may require defining units below the species level to portray probabilities of extinction accurately and to help set priorities for conservation efforts. What those units should be has been debated in the scientific literature largely in terms of evolutionarily significant units (ESUs), but this discourse has had little impact on government policy with regard to status assessment. As with species concepts, the variously proposed ESU concepts have not been resolvable into a single approach. The need for a practicable procedure to identify infraspecific entities for status assignment is the motivation behind employing designatable units (DUs). In aid of a policy to prevent elements of biodiversity from becoming extinct or extirpated, DUs are determined during the process of resolving a species' conservation status according to broadly applicable guidelines. The procedure asks whether putative DUs are distinguishable based on a reliably established taxonomy or a well-corroborated phylogeny, compelling evidence of genetic distinction, range disjunction, and/or biogeographic distinction as long as extinction probabilities also differ. The language of the DU approach avoids wording that implies value judgments concerning evolutionary importance or significance. Because species conservation status assessment is not science but, rather, the use of science to further policy, DUs contribute to a precautionary approach to listing whereby status may be assessed even though knowledge of systematic relationships below the species level may be lacking or unresolved. The pragmatic approach of using DUs has been adopted by the Committee on the Status of Endangered Wildlife in Canada for status assessment of species under the Canadian Species at Risk Act.     

Market responses to hurricanes

This paper uses one of the strongest hurricanes to hit the US, Andrew in 1992, to define a quasi-random experiment that permits estimation of the responses of housing values to information about new hurricanes. Lee County, Florida did not experience damage from Andrew. The storm was a “near-miss.” We hypothesize that Andrew conveyed risk information to homeowners in the county. A difference-in-differences (DND) framework identifies the effect of this information on property values in areas likely to experience significant storm damage. The DND findings indicate at least a 19 percent decline in property values.     

生态经济学的价值观

农业产品因投入劳动和消耗自然界的资源形成价值。农业产品在生产和流通过程中，伴随其本身的价值，还会产生其经济效益。利用生态循环中可以再生的资源，可产生生态经济效益，运用先进的农业技术可产生技术经济效益，流通领域中的供求优势可产生社会经济效益。     

Effects of predation risk and hunger on the behaviour of two species of tadpoles

Predation and hunger are threats for most organisms, and appropriate behavioural responses to both factors should be shaped by natural selection. In combination, however, the behavioural demands of predation avoidance and effective foraging often cannot be satisfied at the same time and lead to a conflict within organisms. We examined the behavioural responses of two closely-related species of tadpoles, Rana lessonae and R. esculenta, to simulated predation by fish and hunger. Tadpoles, hatched and reared in the laboratory, were tested in a three-way factorial (predation risk × hunger × species) experiment with four predation levels and four hunger levels. Both species decreased their swimming activity with increasing predation risk. Predation risk did not influence the amount of activity time invested in feeding but caused the tadpoles to spend less time in patches with food. Refuges were not used to avoid predation. R. esculenta was more sensitive to predation risk than R. lessonae. Hunger increased both the activity of tadpoles and the amount of activity time invested in feeding, thus indicating an increased energy intake. No interactions were observed between predation risk and hunger. These results show that tadpoles possess genetically-based behavioural mechanisms that allow them to respond in a graded manner to predation and hunger. However, they did not balance the two conflicting demands of predation avoidance and effective foraging; the two mechanisms appeared to act independently. Correspondence to: R.D. Semlitsch     

Using the expert model PERPEST to translate measured and predicted pesticide exposure data into ecological risks

An important topic in the registration of pesticides and the interpretation of monitoring data is the estimation of the consequences of a certain concentration of a pesticide for the ecology of aquatic ecosystems. Solving these problems requires predictions of the expected response of the ecosystem to chemical stress. Up until now, a dominant approach to come up with such a prediction is the use of simulation models or safety factors. The disadvantage of the use of safety factors is a crude method that does not provide any insight into the concentration–response relationships at the ecosystem level. On the other hand, simulation models also have serious drawbacks like that they are often very complex, lack transparency, their implementation is expensive and there may be a compilation of errors, due to uncertainties in parameters and processes. In this paper, we present the expert model prediction of the ecological risks of pesticides (PERPEST) that overcomes these problems. It predicts the effects of a given concentration of a pesticide based on the outcome of already performed experiments using experimental ecosystems. This has the great advantage that the outcome is more realistic. The paper especially discusses how this model can be used to translate measured and predicted concentrations of pesticides into ecological risks, by taking data on measured and predicted concentrations of atrazine as an example. It is argued that this model can be of great use to evaluate the outcome of chemical monitoring programmes (e.g. performed in the light of the Water Framework Directive) and can even be used to evaluate the effects of mixtures.     

Statistical inference on patch-specific survival and movement rates from marked animals

Empirical estimates of patch-specific survival and movement rates are needed to parametrize spatially explicit population models, and for inference on the effects of habitat quality and fragmentation on populations. Data from radio-marked animals, in which both the fates and habitat locations of animals are known over time, can be used in conjunction with continuous-time proportional hazards models to obtain inferences on survival rates. Discrete-time conditional logistic models may provide inference on both survival and movement rates. We use Monte Carlo simulation to investigate accuracy of estimates of survival from both approaches, and movement rates from conditional logistic regression, for two habitats. Bias was low (relative bias < 0.04) and interval coverage accurate (close to the nominal 0.95) for estimates of habitat effect on survival based on proportional hazards. Bias was high ( relative bias 0.60) and interval coverage poor ( = 0.26 vs. nominal 0.95) for estimates of habitat effect based on conditional logistic regression; bias was especially influenced by heterogeneity in survival and the shape of the hazard function, whereas both bias and coverage were affected by ‘memory’ effects in movement patterns. Bias estimates of movement rate was low ( relative bias < 0.05), but interval coverage was poor ( = 0.48–0.80), possibly as a result of poor performance of a Taylor series estimate of variance. An example is provided from a radio-telemetry study of 47 wintering American woodcock (Scolopax minor), illustrating practical difficulties in field studies to parametrize these models. We also discuss extensions of continuous-time models to explicitly include a movement process, and further examine tradeoffs between continuous and discrete models.     

生态毒理基因组学——后基因组时代生态毒理学的新领域

基因组学、蛋白组学和代谢组学技术为生态毒理学的发展提供了生物高通量的技术手段,构成了新的交叉学科——生态毒理基因组学.生态毒理基因组学着重研究环境毒物暴露下非靶生物基因和蛋白的表达,能够在基因组水平上更深入地理解环境污染物的致毒机制,同时,它引进生物标志物为生态风险评价提供了平台.论文对生态毒理基因组学的发展历程、技术支持、模式生物及其在生态风险评价方面的应用进行了综述,以推动生态毒理基因组学技术在我国的进一步发展.     

长江口海域表层沉积物污染及其潜在生态风险评价

根据2004年8月份长江口海域表层沉积物的监测基础资料,采用单因子污染参数法和Hakanson前在生态风险指数法,通过分析长江口不同水域表层沉积物中典型污染要素PCB,Hg,Cd,Pb,As的质量分数,评价了长江口表层沉积物的质量状况。定量确定了长江口表层沉积物的潜在生态风险程度、主要污染因子和潜在生态风险因子;分析了近年来长江口表层沉积物总的潜在生态风险和单个污染要素的潜在生态风险的变化趋势。结果表明:长江口表层沉积物质量状况良好,各典型污染要素的质量分数值均小于背景值,典型污染要素的平均综合指数Cd为1.37,典型污染要素的污染程度由高至低顺序为As>Pb>Hg>PCB>Cd,As是主要环境污染因子;长江口各水域表层沉积物总的对水域均只具有低潜在生态风险,其由高至低的排列顺序为杭州湾北岸>长江口南支>长江口北支>长江口外;各典型污染物对水域也均只具有低潜在生态风险,其由高至低顺序为Hg>PCB>Cd>As>Pb,Hg是主要潜在生态风险因子;近年来,长江口表层沉积物总的潜在生态风险和单个污染物的潜在生态风险均呈现增加趋势。