A Long-Term Monitoring Plan for a Threatened Butterfly

Abstract: A long-term monitoring plan using stratified random sampling of population densities of late instar larvae is presented for a large population of the threatened Bay checkerspot butterfly, Euphydryas editha bayensis. A topographic map of the habitat is analyzed for the distribution of slope exposures and a clear sky insolation model is applied to delineate microclimate strata Sixth and seventh instar larval densities are estimated for square-meter quadrats on specific slope exposures, and these density samples are then grouped into the microclimate strata for estimating population size. Additionally, samples of larvae from different slopes are weighed to monitor developmental phenology. The larval population increased from 92,000 in 1985 to 783,000 in 1987, and decreased to 319,000 in 1988. The distribution of larvae changed between years, shifting from cool slopes to warmer slopes as the population grew. These shifts affect developmental phenology and the timing of adult emergence. The procedure produces labor- and cost-effective yearly estimates of population densities of larvae in different microclimates and documents within-habitat responses of the population to a variable climate.     

Behavioural toxicity in zebrafish (Danio rerio) exposed to waterborne zinc and chromium(VI)

This study is to investigate the behavioural responses of zebrafish to the toxic effects of waterborne zinc and chromium(VI). Swimming performance of fish was tracked by a real-time toxicity bio-monitoring system and transformed into data to calculate individual and fish school behavioural endpoints. Behavioural responses under metals were in accordance with the Stepwise Behavioural Response model. Significant and concentration-dependent effects on swimming speed and turning times were found at concentrations equal to or higher than 3.5 mg L^-1 for zinc and 0.7 mg L^-1 for chromium. Swimming height significantly declined in concentrations equal to or higher than 3.5 mg L^-1 under zinc exposure, while for the chromium treatment, it significantly increased in lower concentration exposures and decreased in higher concentration exposures. Average distance and dispersion of fish school decreased at the beginning but there were no obvious changes during the whole exposure period. Behavioural responses under metal exposures were time-dependent: avoidance (increased speed and turning times and decreased average distance and dispersion) might be the first response and followed by height changes. Changes in behavioural endpoints ‘swimming speed and height’ can be used as early stress responses for acute aquatic metal contamination as part of ecological risk assessment.     

Qualitative and quantitative assessment of the risk from the exposure to fetotoxic chemical compounds

A new mathematical dose-response model for the expected probability of toxic response and also for the expected measure of the overdispersion parameter for the reproductive and developmental risk assessment is proposed. The model for the expected probability of toxic response is an improvised Weibull dose-response model incorporating the litter-size effect while the model for the overdispersion parameter is a polynomial function of the dose level. A beta-binomial distribution for the number of offspring showing toxic responses in a litter satisfactorily accounts for the extra-binomial variation and the intralitter correlation of responses of these pups. Confidence limits for low-dose extrapolation are based on the asymptotic distribution of the likelihood ratio. The safe dose for human exposure is then calculated by simple linear extrapolation. The model for overdispersion allows us to obtain the estimates of the overdispersion parameter at these dosages. This was not possible in the earlier models. The proposed model is illustrated by an application to a study on the effect of exposure to diethylhexylphthalate in mice. The results are compared with those obtained by Chen and Kodell (1989) who have applied the simple Weibull dose-response model to the same data set.This paper was prepared with partial support from the United States Environmental Protection Agency under a Cooperative Agreement Number CR-815273. The contents have not been subject to Agency review and therefore do not necessarily reflect the views or policies of the Agency and no official endorsement should be inferred.     

环境内分泌干扰物低剂量-效应研究进展

环境内分泌干扰物(EDCs)的低剂量-效应已成为生态毒理学界的研究热点.环境内分泌干扰物在接近或低于无可见不良效应浓度水平(NOAEL)时仍可诱发生物效应并存在非单调剂量-效应关系,这对现行的动物繁殖和发育毒理学检测规程以及环境内分泌干扰物风险评价的理论和方法提出了挑战.此外,由于环境中内分泌干扰物呈低剂量长期暴露的特征,研究低剂量-效应对正确进行生态风险评价具有重大的科学意义.在总结国内外相关研究的基础上,对当前环境内分泌干扰物低剂量-效应的研究进展进行了综述.     

Litter-based methods in developmental toxicity risk assessment

Developmental toxicity experiments are designed to assess potential adverse effects of drugs and other exposures on developing fetuses from pregnant dams. Extrapolation to humans is a very difficult problem. An important issue here is whether risk assessment should be based on the fetus or the litter level. In this paper, fetus and litter-based risks that properly account for cluster size are defined and compared for the beta-binomial model and a conditional model for clustered binary data. It is shown how the hierarchical structure of non-viable implants and viable but malformed offspring can be incorporated. Risks based on a joint model for death/resorption and malformation are contrasted with risks based on an adverse event defined as either death/resorption or malformation. The estimation of safe exposure levels for all risk types is discussed and it is shown how estimation of the cluster size distribution affects variance estimation. The methods are applied to data collected under the National Toxicology Program and in large sample simulations.     

Use of thermodynamic indices as ecological indicators of the development state of lake ecosystems: 2. Exergy and specific exergy indices

The effectiveness of exergy and specific exergy indices as ecological indicators of the trophic state of lake ecosystems is here tested on a small homogeneous set of shallow lakes which, in spite of their similar nutrient concentrations, morphology and hydrology, show a different trophic state and structure, species composition and abundance. The findings reveal that exergy and specific exergy indices have good negative correlation with phytoplankton biomass and Carlson's trophic state index (TSI) and strong positive correlation to water transparency (the relationship between exergy and eutrophication is clearer if the exergy refers to surface units, rather than volume units) and, hence, that they may be used as ecological indicators of the trophic state of lake ecosystems. The relationship between the responses of the thermodynamic approach and other conventional trophic classification methods (Vollenweider's eutrophication model based on phosphorus loading, the Hillbrich-Ilkowska method and the Vollenweider–OECD classification criterion) previously applied to Lake Trasimeno, was also investigated. The decreasing trend of exergy and specific exergy indices with eutrophication increase appears to be essentially due to the change in species composition and trophic structure, rather than to a different trophic potentiality of the ecosystems investigated. Concerning the identification of the environmental factors responsible for exergy and specific exergy trends, the coherence of the correlation structure between water depth, TSI, exergy and specific exergy indices, suggests that the lake's mean water depth plays a significant role in determining the changes in trophic structure and state (and consequently in exergetic indices) within the set of lakes examined and emphasises the importance of lake morphology in the development and ageing of lake ecosystems.     

Evaluation of the validity of the US EPA's cancer risk assessment of arsenic for low-level exposures: a likelihood ratio approach

Skin cancers associated with ingesting of arsenic have been documented since the 19th century. A study in the southwestern coastal area of Taiwan where people drank well water containing arsenic is generally recognised as providing the best data available for quantifying the risk, and the US Environmental Protection Agency (EPA) used these data to conduct a risk assessment of arsenic ingestion. However, the lowest exposure category in the Taiwan study included arsenic levels up to 290 µg L^–1, which is nearly six times higher than the current EPA maximum contaminant level (MCL), 50 µg L^–1. Therefore, the EPA risk assessment model extrapolated data on high-level exposures to generate risk estimates for low-level exposures. To evaluate the validity of this model, we conducted a quantitative review of epidemiological studies observing arsenic exposures below 290 µg L^–1. A ratio of the likelihood of the EPA model being inappropriate to that of it being appropriate was calculated for each study population as a measurement of the validity of the EPA model. Although existing human data on low-level exposures are limited, the review suggested that the EPA model is unlikely to be able to predict the risk of skin cancer accurately when the arsenic exposure level is between 170 and 270 µg L^–1.     

Plant acclimation to elevated CO2—From simple regularities to biogeographic chaos

Upon exposure to altered levels of CO₂, plants express a variety of acclimations to CO₂ directly, over and above acclimations to indirect changes in temperature and water regimes. These acclimations commonly include increased photosynthetic CO₂ assimilation and increased water-use efficiency with reduced N content and reduced stomatal conductance. The robust generic acclimations are explicable by combining simple models of carboxylation, stomatal control, energy balance, and functional balance. Species- or genotype-specific acclimations are overlaid on these generic acclimations. Several such specific acclimations that are often seen are readily incorporated in an extended model. These specific acclimations generate a great spread of values in key performance measures of photosynthesis, water- and N-use efficiencies, and rates of water and N use, even among C₃ species that are the focus of this work. These performance measures contribute strongly to relative fitness and thus to evolving biogeographic distributions. The spread in fitness values is so large as to impend “chaotic” shifts in biogeography (and, ultimately, evolution) that are not understandable with models specific to species or functional groups; rather, a systematic study of key physiological and developmental parameters is merited. Also merited is a coherent extension of the model used here, or similar models, to include other phenomena, including mycorrhizal associations, transience in resource availability, etc. The composition of useful approximate fitness functions from physiological and allocational responses is a major challenge, with some leads originating from the model. In the search to extract patterns of responses, arguments based on the responses being close to optimal or adaptive will be misleading, in view of the absence of selection pressure to perform adaptively at high CO₂ for over 20 million years. I offer suggestions for more useful research designs.     

Histopathological changes in testis of the freshwater fish, Heteropneustes fossilis (Bloch) exposed to linear alkyl benzene sulphonate (LAS)

The objective of this study was to use the freshwater food fish, Heteropneustes fossilis, as a model to evaluate the concentration-dependent effects of LAS on the testicular structure through short-term static bioassays. Concentration mediated histopathological leisions were observed in testis of H. fossilis, treated with four different concentrations of LAS for 24, 48, 72 and 96 hr Inference drawn from the study is that the cytotoxic damage is more pronounced in fish exposed to higher concentrations of LAS for shorter durations than lower concentrations of LAS for longer durations. Gross damage of germinal epithelium, inflammatory response, intertubular vacuolations and contraction and condensation in the cells of tubules under all sets of intoxication and exposures are quite suggestive of reproductive impairment leading to delayed gonadal maturity.     

Isomorphic chain graphs for modeling spatial dependence in ecological data

Graphical models (alternatively, Bayesian belief networks, path analysis models) are increasingly used for modeling complex ecological systems (e.g., Lee, In: Ferson S, Burgman M(eds) Quantative methods for conservation biology. Springer, Berlin Heilin Heideslperk New York, pp.127–147, 2000; Borsuk et al., J Water Res Plann Manage 129:271–282, 2003). Their implementation in this context leverages their utility in modeling interrelationships in multivariate systems, and in a Bayesian implementation, their intuitive appeal of yielding easily interpretable posterior probability estimates. However, methods for incorporating correlational structure to account for observations collected through time and/or space—features of most ecological data—have not been widely studied; Haas et al. (AI Appl 8:15–27, 1994) is one exception. In this paper, an “isomorphic” chain graph (ICG) model is introduced to account for correlation between samples by linking site-specific Bayes network models. Several results show that the ICG preserves many of the Markov properties (conditional and marginal dependencies) of the site-specific models. The ICG model is compared with a model that does not account for spatial correlation. Data from several stream networks in the Willamette River valley, Oregon (USA) are used. Significant correlation between sites within the same stream network is shown with an ICG model.     

Cavity excavation and enlargement as mechanisms for indirect interactions in an avian community

Direct and indirect species interactions within ecological communities may play a strong role in influencing or maintaining community structure. Complex community interactions pose a major challenge to predicting ecosystem responses to environmental change because predictive frameworks require identification of mechanisms by which community interactions arise. Cavity-nesting communities are well suited for mechanistic studies of species interactions because cavity nesters interact through the creation of and competition for cavity-nest sites. In this study, we use a cavity-nest web as a predictive framework for identifying potential indirect species interactions within a cavity-nesting community. From 2002 to 2005, we monitored abundance and nests of cavity-nesting birds in the longleaf pine (Pinus palustris) ecosystem. Using a nest-web approach, we identified a potential indirect interaction between the Red-cockaded Woodpecker (Picoides borealis) and large secondary cavity nesters, mediated by the Northern Flicker (Colaptes auratus). We used structural equation modeling to test a path model of this interaction, using cavity excavation and enlargement as mechanisms which drive the relationship between these species. Through experimental manipulation of cavity availability, we blocked links described in our model, confirming cavity creation and enlargement as processes that influence community structure. We found that a single-species management technique could potentially disrupt this indirect relationship by affecting Northern Flicker cavity-excavation behavior. This study is the first demonstration of how experimental cavity manipulation can be used to test inferred processes derived from a nest web and highlights the need to understand how mechanisms underlying species interactions can complicate ecosystem responses to environmental change.     

Space-time estimation of grid-cell hourly ozone levels for assessment of a deterministic model

We present an approach to estimate hourly grid-cell surface ozone concentrations based on observations from point monitoring sites in space, for comparison with grid-based results from the SARMAP photochemical air-quality model for a region of northern California. Statistical estimation is carried out on a transformed (square root) scale, followed by back-transforming to the original scale of ozone in parts per billion, adjusting for bias and variance. We estimate a spatially-varying diurnal mean structure and a non-separable space-time correlation structure on the transformed scale. Temporal pre-whitening is followed by modelling of a spatially non-stationary, diurnally-varying spatial correlation structure using a spatial deformation approach. Comparisons of SARMAP model results with the estimated grid-cell ozone levels are presented.     

Bayesian testing for trend in a power model for clustered binary data

Developmental toxicity studies are widely used to investigate the potential risk of environmental hazards. In dose–response experiments, subjects are randomly allocated to groups receiving various dose levels. Tests for trend are then often applied to assess possible dose effects. Recent techniques for risk assessment in this area are based on fitting dose–response models. The complexity of such studies implies a number of non-trivial challenges for model development and the construction of dose-related trend tests, including the hierarchical structure of the data, litter effects inducing extra variation, the functional form of the dose–response curve, the adverse event at dam or at fetus level, the inference paradigm, etc. The purpose of this paper is to propose a Bayesian trend test based on a non-linear power model for the dose effect and using an appropriate model for clustered binary data. Our work is motivated by the analysis of developmental toxicity studies, in which the offspring of exposed and control rodents are examined for defects. Simulations show the performance of the method over a number of samples generated under typical experimental conditions.     

A controversy re-visited: Is the coccinellid Adalia bipunctata adversely affected by Bt toxins?

Background

The Cefic Mixtures Industry Ad-hoc Team (MIAT) has investigated how risks from combined exposures can be effectively identified and managed using concepts proposed in recent regulatory guidance, new advances in risk assessment, and lessons learned from a Cefic-sponsored case study of mixture exposures.

Results

A series of tools were created that include: a decision tree, a system for grouping exposures, and a graphical tool (the MCR-HI plot). The decision tree allows the division of combined exposures into different groups, exposures where one or more individual components are a concern, exposures that are of low concern, and exposures that are a concern for combined effects but not for the effects of individual chemicals. These tools efficiently use available data, identify critical data gaps for combined assessments, and prioritize which chemicals require detailed toxicity information. The tools can be used to address multiple human health endpoints and ecological effects.

Conclusion

The tools provide a useful approach for assessing risks associated with combined exposures to multiple chemicals.     

PFOA对斑马鱼胚胎发育、行为和DNA损伤的毒性研究

全氟辛酸(PFOA)是一种分布广泛的环境持久性有机污染物,在野生动物与人体内普遍被检出。目前PFOA发育毒性的特点和机制尚未阐明,已有的研究显示,PFOA毒性与受试物种及性别密切相关。因此,利用不同物种进行PFOA毒性研究对阐明其毒性机制十分重要。本研究选用了斑马鱼这种理想的脊椎动物模型,考察了PFOA暴露对其胚胎发育的自主运动、心跳、行为、细胞凋亡和DNA损伤的影响。研究发现,始于6hpf的PFOA暴露会导致斑马鱼胚胎自主运动异常,心率降低,且具有一定的剂量依赖性;6～24hpf的高浓度的PFOA暴露(>414.0mg·L-1)会导致胚胎发生显著的细胞凋亡,凋亡主要出现在眼部、头部、心脏和尾部。较高浓度的PFOA暴露(165.6mg·L-1)会使仔鱼的光刺激应激行为模式发生变化。此外,PFOA暴露会致使斑马鱼发生DNA损伤,且损伤程度随PFOA浓度的升高而加重,表明PFOA具有一定的基因毒性。上述结果表明,PFOA对斑马鱼胚胎具有发育毒性,具体表现为自主运动异常,心率降低和行为反应能力变弱,同时伴随畸形、细胞凋亡和DNA损伤。     

Impact of withdrawal from market on the pattern of cyclooxygenase-2 inhibitors reported to Texas poison control centers

The cyclooxygenase-2 (COX-2) inhibitor rofecoxib was withdrawn from the US market on September 30, 2004, and valdecoxib was withdrawn on April 7, 2005. The impact of these actions on COX-2 inhibitor exposures reported to poison control centers was unknown. The objective of this study was to describe the pattern of COX-2 inhibitor exposures reported to Texas poison control centers before and after rofecoxib and valdecoxib were withdrawn. The number of celecoxib, rofecoxib, and valdecoxib exposures reported to Texas poison control centers each month during 1999–2006 was identified and examined for changes over time. Comparisons were made with respect to those exposures reported immediately prior to withdrawal (October 2003–September 2004) and to exposures after withdrawal (April 2005–December 2006). The mean monthly number of reported exposures prior to withdrawal was 18.8 for celecoxib, 20.3 for rofecoxib, 13.3 for valdecoxib, and 51.5 for total COX-2 inhibitors. The mean monthly number of reported exposures after withdrawal was 9.3 for celecoxib, 1.8 for rofecoxib, 1.3 for valdecoxib, and 12.3 for total COX-2 inhibitors, representing declines of 51, 91, 90, and 76%, respectively. The withdrawal of rofecoxib and valdecoxib from the market resulted in a decrease in the number of COX-2 inhibitor exposures reported to Texas poison control centers. However, rofecoxib and valdecoxib exposures continued to be reported for a long time after withdrawal. Reported celecoxib exposures declined even though it was not withdrawn from the market.     

Causal modelling of multivariate outcomes from developmental toxicity experiments

Exposure to developmental toxicants may cause foetal malformations, increase foetal death or resorption and reduce foetal weight. The correlations among these developmental endpoints have been reported, but their causal relationships have not been investigated. Structural equation models (path models) were applied to study the patterns of causation among the four developmental outcomes, number of viable foetuses, number of malformations, number of deaths/resorptions, and average foetal weight; these outcomes were modelled as response variables with the dose level and number of implants (litter size) modelled as independent variables. Three hypothesized path models were fitted to developmental toxicity data from a study of the herbicide 2,4,5-T exposure in mice. One model, which hypothesized that foetal weight, implicitly a mechanism such as cellular growth, affects both malformations and death/resorption (equivalently, viability) with no causation relationship between malformation and death/resorption, described data consistently well for three strains of mice. The most consistent relationship found was a strong direct effect of foetal weight on malformations, and the correlation between malformations and death/resorption (or reduced viability) was likely spurious.     

湿地生态风险评价中生物完整性指数研究进展

湿地是陆地与水域之间的过渡地带,是地球上生产力最高的生态系统。湿地生态风险评价的实际应用将使人们更好地理解物理、化学和生物风险源如何影响湿地,并为湿地管理提供科学支撑,这就要求确定湿地生态健康评价指标的完整性。生物完整性指数以环境生态毒理学数据为依据,是进行生态系统健康风险评价的最有力工具。大中型无脊椎动物作为易选择的分类群,可用于湿地评估的生物完整性指数的建立,土壤动物特别是线虫类群作为湿地土壤和水环境健康评价的指示生物具有广阔前景。通过线虫分子毒理学等研究方法,可优化出生物完整性指数体系,建立扰动背景下的湿地生态风险评价模型,为湿地污染的监测、防控和修复,提供理论依据和实践方法。     

Ein fotoschlitten für biologische und geologische kartierungen des meeresbodens

A photosledge is described; it is 4 m long and 2 m wide and can be used also on an uneven sea bottom. In its foremost part a camera is mounted in a pressure sphere which has been tested for water depths down to 6,000 m. The camera system can hold 90 m of film; with an exposure size of 24x24 mm this accounts for 3,600 exposures. The time between 2 exposures may be varied from 1 to 10 sec and this allows to cover a distance of 2 to 20 nautical miles at a speed of 2 knots within 1 single mission. The photographic angle may be changed from vertical to horizontal. Best results have been obtained with angles of 30 and 45 degrees from the vertical. The electronic flash, with a power of 60 Wsec, is mounted below the camera. Successful work has been conducted in the North Sea and the Baltic Sea at depths between 40 and 50 m, on the continental slope off Portugal between depths of 140 and 240m, and on top of Great Meteor Seamount at depths between 280 and 350 m.