Auditing the precision and accuracy of environmental impact predictions in Australia

Our understanding of natural ecosystems can be measured by our ability to predict their responses to external disturbances. Predictions made during environmental impact assessment (EIA) for major development projects are hypotheses about such responses, which can be tested with data collected in environmental monitoring programmes. The systematic comparison of predicted and actual impacts has been termed environmental impact audit. Ecosystem disturbances associated with major resource developments, though of lesser magnitude than those associated with natural cataclysms, are generally of far greater magnitude than those which can be applied experimentally. Environmental audit can hence provide critical tests of theory in a number of natural sciences. It is also needed to improve the scientific content of EIA. Audits of 4 and 29 EISs respectively have been carried out previously in the UK and USA, but this is the first national scale audit for any country. It is also the first attempt to select, from the many vague statements in EISs, only those predictions that are scientifically testable, and to determine and analyse their quantitative accuracies. Its principal results are as follows. The average accuracy of quantified, critical, testable predictions in environmental impact statements in Australia to date is 44%±5% s.e. Predictions where actual impacts proved more than expected were on average significantly (p<0.05) less accurate (33%±9%) than those where they proved as or less severe (53%±6%).     

在波罗的海不同的气候条件下模拟的海面温度和热通量

本文使用由不同的全球模拟所产生的区域性耦合海洋-大气模型,通过数值模型试验探讨了波罗的海气候未来可能的物理状况.将一些情景以及近来的一些气候模拟情况作了比较,以估计气候变化.海面温度总体平均明显地增高2.9℃.平均年平均增温的水平模式主要可由冰盖的减少解释.由大气向波罗的海的热输送表现出季节性变化周期秋季热损失减少,春季热吸收增加,夏季热吸收减少.年际间海面温度的变化一般是在增加.这与北部一些中平滑的频率分布有关.全部热收支表示出海面太阳辐射在增加,而太阳辐射增加由热通量其他组成成分的变化所平衡.     

CCall--healthy and successful work in call centres.

Call centre workplaces are in many ways a challenge to occupational health and safety. The occupation itself can be described as an IT information technology-supported, communication-intensive form of work with often unusual working hours and a high rate of part-time employment. Data on the employee turnover as well as absenteeism related to occupational disability is quite contradictory. Occupational safety and its proponents still have to find new ways into the corporate structures and cultures of this relatively new and rapidly growing branch of industry. In a 2-year research and development project, using a holistic approach and under consideration of all the relevant disciplines, call centre workplaces were studied, and organisational measures were developed and field tested by putting them into practice. Practical help was developed for a sustainable strategy for successful and healthy work in call centres.     

Misuse of null hypothesis significance testing: would estimation of positive and negative predictive values improve certainty of chemical risk assessment?

Although generally misunderstood, the p value is the probability of the test results or more extreme results given H₀ is true: it is not the probability of H₀ being true given the results. To obtain directly useful insight about H₀, the positive predictive value (PPV) and the negative predictive value (NPV) may be useful extensions of null hypothesis significance testing (NHST). They provide information about the probability of statistically significant and non-significant test outcomes being true based on an a priori defined biologically meaningful effect size. The present study explores the utility of PPV and NPV in an ecotoxicological context by using the frequently applied Daphnia magna reproduction test (OECD guideline 211) and the chemical stressor lindane as a model system. The results indicate that especially the NPV deviates meaningfully between a test design strictly following the guideline and an experimental procedure controlling for α and β at the level of 0.05. Consequently, PPV and NPV may be useful supplements to NHST that inform the researcher about the level of confidence warranted by both statistically significant and non-significant test results. This approach also reinforces the value of considering α, β, and a biologically meaningful effect size a priori.     

Power matters in closing the phenotyping gap

Much of our understanding of physiology and metabolism is derived from investigating mouse mutants and transgenic mice, and open-access platforms for standardized mouse phenotyping such as the German Mouse Clinic (GMC) are currently viewed as one powerful tool for identifying novel gene-function relationships. Phenotyping or phenotypic screening involves the comparison of wild-type control mice with their mutant or transgenic littermates. In our study, we explored the extent to which standardized phenotyping will succeed in detecting biologically relevant phenotypic differences in mice generated and provided by different collaborators. We analyzed quantitative metabolic data (body mass, energy intake, and energy metabolized) collected at the GMC under the current workflow, and used them for statistical power considerations. Our results demonstrate that there is substantial variability in these parameters among lines of wild-type C57BL/6 (B6) mice from different sources. Given this variable background noise in mice that serve as controls, subtle phenotypes in mutant or transgenic littermates may be overlooked. Furthermore, a phenotype observed in one cohort of a mutant line may not be reproducible (to the same extent) in mice coming from a different environment or supplier. In the light of these constraints, we encourage researchers to incorporate information on intrastrain variability into future study planning, or to perform advanced hierarchical analyses. Both will ultimately improve the detectability of novel phenotypes by phenotypic screening. Carola W. Meyer and Ralf Elvert contributed equally to this work.     

Remote sampling of a CO2 point source in an urban setting

High frequency CO₂ and wind speed measurements were used to examine the urban baseline eddy covariance CO₂ flux and analyse the CO₂ rich plume from a local power station. A reliable relationship between high frequency CO₂ maxima and the rate of CO₂ emission at the power station was established. This relationship was shown to be highly dependant on wind speed. The ensemble mean plume was found to be Gaussian in horizontal profile with a width dependant on wind speed. The relationship between peak CO₂ mixing ratio and averaging time was shown to be a simple power law with a time exponent of approximately 0.5. The large, short pulses in CO₂ mixing ratio in the power plant plume were found to have an approximately Lorentzian shape. These pulses generated negative vertical eddy flux measurements so data from the plume sector were necessarily excluded from the flux baseline results. The plume-excluded flux had a similar magnitude and variability to those reported in other urban CO₂ flux studies despite this site not being ideal due to the proximity of roughness elements to the measurement point.     

Spatial distribution of perfluoroalkyl acids in the Pearl River of Southern China

An intensive campaign was conducted in September 2012 to collect surface water samples along the tributaries of the Pearl River in southern China. Thirteen perfluoroalkyl acids (PFAAs), including perfluorocarboxylates (PFCAs, C4–C11) and perfluorosulfonates (PFSAs, C4, C6–C8, and C10), were determined using high-performance liquid chromatography/negative electrospray ionization–tandem mass spectrometry (HPLC/(-)ESI–MS/MS). The concentrations of total PFAAs (ΣPFAAs) ranged from 3.0 to 52 ng L⁻¹, with an average of 19 ± 12 ng L⁻¹. The highest concentrations of ΣPFAAs were detected in the surface water of the Dong Jiang tributary (17–52 ng L⁻¹), followed by the main stream (13–26 ng L⁻¹) and the Sha Wan stream (3.0–4.5 ng L⁻¹). Perfluorooctanoate (PFOA), perfluorobutane sulfonate (PFBS), and perfluorooctane sulfonate (PFOS) were the three most abundant PFAAs and on average accounted for 20%, 24%, and 19% of ΣPFAAs, respectively. PFBS was the most abundant PFAA in the Dong Jiang tributary, and PFOA was the highest PFAA in the samples from the main stream of the Pearl River. A correlation was found between PFBS and PFOA, which suggests that both of these PFAAs originate from common source(s) in the region. Nevertheless, the slope of PFBS/PFOA was different in the different tributaries sampled, which indicates a spatial difference in the source profiles of the PFAAs.