Use of a physiologically based extraction test to estimate the human bioaccessibility of potentially toxic elements in urban soils from the city of Glasgow,UK

A simple, two-stage, physiologically based extraction has been applied to assess the human bioaccessibility of potentially toxic elements (PTE) in 20 urban soils from a major UK city. Chromium and iron bioaccessibilities were found to be markedly higher in the intestinal phase, whilst lead and zinc bioaccessibilities were higher in the stomach. Copper and manganese bioaccessibilities were generally similar under both extraction conditions. Principal component analysis was used to study relationships amongst bioaccessible element concentrations and land use. Distinctions could be observed between the distributions of the urban metals—copper, lead and zinc—and metals predominantly of geogenic origin, such as iron. There was no clear delineation between roadside soils and soils obtained from public parks. Bioaccessible analyte concentrations were found to be correlated with pseudototal (aqua regia soluble) analyte concentrations for all elements except iron. Results of the BCR sequential extraction did not, in general, provide a good indication of human bioaccessibility. Comparison of bioaccessible PTE concentrations with toxicological data indicated that lead is the element of greatest concern in these soils but that levels are unlikely to pose a health risk to children with average soil intake.     

Among-habitat variation in herbivory on Sargassum spp. on a mid-shelf reef in the northern Great Barrier Reef

Herbivory is widely acknowledged as a key process determining the benthic community structure and resilience of coral reefs. Despite numerous studies that have examined herbivory across reef gradients in the Caribbean, few studies have directly quantified this process on Pacific reefs. Bioassays of two species of erect macroalgae (Sargassum swartzii and S. cristaefolium) were used to quantify variation in grazing intensity across seven habitats of varying depth and wave exposure on a mid-shelf reef in the northern Great Barrier Reef. Removal rates of Sargassum varied significantly among habitats, with both species displaying broadly similar patterns. The shallow habitats on the exposed aspect of the reef (i.e. reef crest, flat and back reef) experienced the highest reductions in mass (81.4–91.6% day⁻¹) for both S. swartzii and S. cristaefolium, while the deeper exposed habitats (reef slope and base) displayed the lowest reductions (3.8–13.4% day⁻¹) over a 24 h period. In contrast, the grazing intensity varied between the two species in the three habitats on the leeward aspect of the reef. Reductions in mass remained relatively high for S. swartzii on the patch reef and sheltered reef base and flat (62.7–76.5% day⁻¹) but were considerably lower for S. cristaefolium (37.9–63.5% day⁻¹) across the same habitats. Surprisingly, the rates of removal of Sargassum displayed no relationship with the density or biomass of roving herbivorous fishes or those species known to consume erect macroalgae, either collectively or independently. These results suggest that the relationship between browsing rates and herbivorous fish biomass is complex and may be driven by species that are underestimated in visual surveys. Direct quantification of browsing intensity using assays revealed a different pattern to inferences based on herbivore densities and highlights the potential difficulties of evaluating ecosystem processes based on visual census data alone.     

Hotspot detection and clustering: ways and means

This paper reviews the development of methods for the analysis of hotspots and clustering. Discussion focusses on different data types and the usefulness of density estimation, scan testing and model-based approaches to clustering. Various application areas are considered ranging from ecology, over health mapping to genomics and landscape analysis. A discussion of software availability is also provided.     

目前针对水环境化学品风险评估的方法是正确的么？

我们想要保护水生生态环境,通过测试数以千计的化学物质和成百上千的水生物种之间交互作用,得到成千上万的结果,但仍然不可能考虑到所有物质的混合情况。污染物对野生鱼类的内分泌干扰作用的课题推动了人们对如药物之类的微污染物的研究。尽管我们担心鱼类会因污染而繁殖能力下降,但并没有足够的证据表明鱼类种群处于危险之中。事实上,许多鱼类生物学家认为,在过去的30 - 40年里,鲤科的数量已经在逐步恢复中。目前的风险评估的关键在于其核心假设,也就是实验室观测或者模型预测的结果简单地适用于群体水平,显而易见这个假设是值得质疑的。 我们明白了疏于监测野生动物种群的变化成为了我们的环境保护战略的关键弱点。如果我们不知道水生野生动物物种是在减少或增加,那么我们研究的其他生态毒理行为又有多少价值呢？
精选自Andrew C. Johnson, John P. Sumpter. Are we going about chemicals risk assessment for the aquatic environment the wrong way?. Environmental Toxicology and Chemistry: Volume 35, Issue 7, pages 1609–1616, July 2016. DOI: 10.1002/etc.3441
详情请见http://onlinelibrary.wiley.com/doi/10.1002/etc.3441/full
     

Estimating digestion time in gelatinous predators: a methodological comparison with the scyphomedusa Aurelia aurita

In order to quantify the trophic impact of gelatinous predators, digestion time estimates are commonly applied to counts of prey in the guts. Three primary approaches are used, the Manual-feeding, Natural-feeding and Steady-state methods; these differ in methodology and their underlying assumptions. The criteria used to define the end-point of digestion, and the resolution at which digestion progress is observed, also vary across studies. To understand the impact of such differences, we estimate digestion times of the scyphomedusa Aurelia aurita fed adult females of the copepod Acartia tonsa using these various approaches. We find ~fourfold differences which can be attributed to bias towards the slowest rates of digestion by some end-point criteria, and overestimation from low observation resolution. Artificial manipulation and the degree to which swimming and feeding behaviour are natural may also influence estimates. We provide recommendations for those quantifying digestion times of Aurelia aurita medusae and gelatinous predators.     

Predicting leadership using nutrient requirements and dominance rank of group members

Group members must decide collectively when and where to go despite their different nutrient requirements. One mechanism underlying consensus decisions is the proposition by one individual to move. The individual frequently initiating movements is often named a “leader”, and this individual may be the most dominant, the oldest or may have the greatest physiological needs. However, high-ranking individuals are often those with the highest body mass, and thus the highest nutrient requirements. In this study, we use a state-dependent model to assess the importance of dominance and nutrient requirements to the initiation of group movements, testing different combinations of effects of these interacting factors. We first show using a theoretical approach that whatever the correlation between the dominance hierarchy and body mass, all decision-making systems are viable (or stable). However, in most cases, one individual does become the leader, and nutrient requirements appear to be more important for determining which individual will emerge as the leader than pre-existing individual characteristics such as their dominance rank. We obtained the same result when we compared the simulated distributions of initiations to the observed distributions in three macaque species. Results of our comparison of three macaque groups suggest that we can predict which group member will be the leader simply by knowing its body mass and its reproductive state. Understanding the link between dominance, needs and leadership may be a key to understanding consensus decisions and collective motion in animal groups, and might provide insight into the management of animal groups and their conservation.     

Identification of the sex pheromone of Conogethes pluto: a pest of Alpinia

In recent years, Conogethes pluto (Lepidoptera: Crambidae) has become a major pest of Alpinia and other ornamental gingers in the Northern Territory and Queensland, Australia. This pest damages the flowers and bores into the stems, causing substantial losses to production. Currently, no synthetic sex pheromone is available to monitor or control this pest. This work aims at the identification of the sex pheromone of this pest. Analysis of the sex pheromone gland of female C. pluto by gas chromatography/electroantennogram detector revealed the presence of seven candidate pheromone compounds that elicited electroantennogram responses. Using gas chromatography/mass spectrometry analysis and micro-derivatization reactions, six compounds were identified as (E)-10-hexadecenal, as the main pheromone compound, (Z)-10-hexadecenal, hexadecanal, (E)-10-hexadecen-1-ol, (10E,12E)-hexadeca-10,12-dienal and (3Z,6Z,9Z)-tricosa-3,6,9-triene as minor pheromone compounds. In two-field trapping experiments, C. pluto responded to the six-component blend, and three of six compounds, i.e., (E)-10-hexadecenal, (3Z,6Z,9Z)-tricosa-3,6,9-triene, and (10E,12E)-hexadeca-10,12-dienal were shown to be necessary for attraction. In a subsequent experiment testing various doses (i.e., 0.01, 0.1, and 1 mg) of the six-component blend, the largest number of males was captured in traps baited with a lure loading of 1 mg. The availability of the sex pheromone of C. pluto will enable monitoring and provides the basis for additional control options for this pest.     

A novel application of Approximate Bayesian Computation for detecting male reproductive advantages due to mating order

Studies of the effects of mating order on fertilization success, classically analyzed as the proportional paternity of the second male, have advanced our understanding of the relative influences of postcopulatory male–male competition and female choice on sexual selection. However, results from these studies are often difficult to analyze because (1) distributions of offspring per dam rarely follow a normal distribution and (2) proportional paternities are never normally distributed. Previous studies partially account for these limitations by using nonparametric statistics. However, behavioral studies are often plagued by relatively small sample sizes and require a more powerful analytical approach. Here, we develop a new analytical framework for studying fertilization bias. Our Approximate Bayesian Computational (ABC) model overcomes many of the limitations of currently employed methods. We apply our model to analyze the effects of male mating order on paternity success in the brown anole lizard, Anolis sagrei. Using our ABC simulation, we find a marked first-male advantage: first males sired approximately 80 % of the offspring in our study. Next, based on re-analysis of four previously published datasets, we show that traditional statistical methods often over- or underestimate biases related to mating order. Moreover, by comparing our model to more traditional statistical tests, we show that the ABC method is robust to relatively small samples sizes and should therefore be useful for studying mating-order effects in a variety of systems. Our model is implemented as an R package, ABCp2, and is freely available for use.     

Suspension and resuspension of dry soil indoors following track-in on footwear

Contamination of the indoor environment by tracked-in outdoor soil has the potential to pose a significant human health threat through exposure to hazardous soil constituents. The indoor distribution of (contaminated) soil following ingress is important when evaluating exposure risk. Here, the time evolution of size-resolved airborne particulate matter aerosolized as a result of mechanical (i.e., footfall or step-on) impacts on a floor surface with a layer of dry soil was investigated using laser particle counters. Suspended particle levels were recorded after step-on impacts that aerosolized soil particles at a single contact point by the action of a human tester who followed a pre-determined walking pattern. The experimental design presumed that the floor area immediately upon entrance indoors is the location of maximum deposition of outdoor soil transferred on footwear. The suspension of soil resulting from the first step-on floor contact and the subsequent resuspension of soil resulting from additional step-on events were quantified by various arrangements of four laser particle counters. Step-on impacts produced a transient increase in particle levels at various lateral distances and heights from the contact point. Also, with increasing distance and height from the step-on contact point, the level of suspended particles after successive step-on events decreased markedly. The results suggested that a lateral component of the dispersion process was more significant than a vertical one under these experimental conditions. A wall jet effect created by the impact of the footfalls on the floor surface was considered responsible for the apparent greater lateral dispersion of the soil particles.     

Density estimation in tiger populations: combining information for strong inference

A productive way forward in studies of animal populations is to efficiently make use of all the information available, either as raw data or as published sources, on critical parameters of interest. In this study, we demonstrate two approaches to the use of multiple sources of information on a parameter of fundamental interest to ecologists: animal density. The first approach produces estimates simultaneously from two different sources of data. The second approach was developed for situations in which initial data collection and analysis are followed up by subsequent data collection and prior knowledge is updated with new data using a stepwise process. Both approaches are used to estimate density of a rare and elusive predator, the tiger, by combining photographic and fecal DNA spatial capture-recapture data. The model, which combined information, provided the most precise estimate of density (8.5 +/- 1.95 tigers/100 km2 [posterior mean +/- SD]) relative to a model that utilized only one data source (photographic, 12.02 +/- 3.02 tigers/100 km2 and fecal DNA, 6.65 +/- 2.37 tigers/100 km2). Our study demonstrates that, by accounting for multiple sources of available information, estimates of animal density can be significantly improved.