Some Responses of Vegetation to Atmospheric Fluorides

Three investigations into the physical and chemical fate of fluorides in plants yielded immediately useful information and suggested lines of additional fruitful study. Reported here, two deal with effects of environmental conditions on fluoride uptake from the atmosphere, and a third considers a possible effect of internal fluorides on cell wall permeability.     

The cost of being an omnivore: mandible wear from plant feeding in a true bug

Evolutionary and ecological transitions from carnivorous to omnivorous feeding may be constrained by the ability of the animal to cope with disparate types of foods, even if preadaptations for such behaviour exist. The omnivorous true bug, Dicyphus hesperus (Hemiptera: Miridae) requires both animals (small, soft-bodied insects) and plants in its diet and obtains the majority of its dietary and metabolic water from plant feeding. Serrations on the lateral margins of the mandibular stylets wear with age, and this wear is exacerbated when the insects feed on plants compared to those provided free water and no plants. D. hesperus that feed on plants attack fewer prey but consumed similar amounts of prey tissue compared to individuals that were provided free water. Although others have shown mandible wear for plant-chewing animals we show for the first time that plant feeding can impose similar wear on plant-piercing animals as well.     

Anionic surfactant remediation of soil columns contaminated by nonaqueous phase liquids

A variety of column experiments have been completed for the purpose of selecting and evaluating suitable surfactants for remediation of nonaqueous phase liquids (NAPLs). The various NAPLs tested in the laboratory experiments were tetrachloroethylene (PCE), trichloroethylene (TCE), jet fuel (JP4) and a dense nonaqueous phase liquid from a site at Hill Air Force Base, UT. Both Ottawa sand and Hill field soil were used in these experiments. Surfactant candidates were first screened using phase behavior experiments and only the best ones were selected for the subsequent column experiments. Surfactants which showed high contaminant solubilization, fast coalescence times, and the absence of liquid crystal phases and gels during the phase behavior experiments were tested in soil column experiments. The primary objective of the soil column experiments was to identify surfactants that recovered at least 99% of the contaminant. The secondary objective was to identify surfactants that show low adsorption and little or no loss of hydraulic conductivity during the column experiments. Results demonstrated that up to 99.9% of the contaminants were removed as a result of surfactant flooding of the soil columns. The addition of xanthan gum polymer to the surfactant solution was shown to increase remediation efficiency as a lower volume of surfactant was required for recovering a given volume of NAPL. Based on these experimental results, guidelines for designing highly efficient and robust surfactant floods have been developed and applied to a field demonstration.     

Controlling Air Toxics Emissions From Remediation by Monitoring of Surrogate Parameters

Particulate matter (dust) from remediation and demolition sites may pose a potential risk to the nearby public due to the presence of various contaminants. Unfortunately, there are no good options for real‐time monitoring of metals, polychlorinated biphenyls, etc. in wind‐blown dust. A three‐tiered approach involving a combination of real‐time monitoring and off‐site analysis that has proved successful is described in this article. PM₁₀ is used as a surrogate parameter for metals and other nonvolatile pollutants, and real‐time monitoring is used to guide dust control measures. If dust emissions are controlled, air emissions of metals and other nonvolatile pollutants also are controlled. © 2014 Wiley Periodicals, Inc.     

A multi-disciplinary framework to monetize financial consequences arising from CCS projects and motivate effective financial responsibility

Carbon dioxide capture and storage (CCS) holds promise as a safe and effective approach for addressing climate change. However, concern about potential “liability” associated with CCS often is cited as a significant barrier to project deployment. The authors contend that, in this context, the term “liability” is poorly defined and conflates concerns about the uncertainty in the timing and magnitude of potential damages with the need for financial responsibility for long-term stewardship of certified closed sites. This paper offers an analytic framework drawn from damages estimation methodologies used in comparable contexts and incorporates risk-based probabilistic modeling to assist stakeholders in evaluating the potential environmental, human health and financial consequences of CCS projects. Application of the proposed framework will achieve four distinct objectives. First, the outputs of the analyses – monetized damages estimates for adverse impact scenarios coupled with expected loss calculations that reflect scenario probabilities and identify the statistical range of possible outcomes, including “most likely” loss estimates – will help interested stakeholders consider the viability of various investment and financial risk management strategies. Second, the results can be used to develop or negotiate financial assurance instruments for analyzed projects. Third, the results will inform the public policy debate regarding the degree and magnitude of potential financial consequences resulting over the long-term, beyond an established post-closure period. And, fourth, while the detailed conceptual framework, resulting models, impact calculations and valuation analyses may be applied on a site-by-site basis, the site-specific results could be pooled to assess regional and national implications of various risk mitigation and financial risk management policies.     

Bayesian Methods in Conservation Biology

Abstract: Bayesian statistical inference provides an alternate way to analyze data that is likely to be more appropriate to conservation biology problems than traditional statistical methods. I contrast Bayesian techniques with traditional hypothesis-testing techniques using examples applicable to conservation. I use a trend analysis of two hypothetical populations to illustrate how easy it is to understand Bayesian results, which are given in terms of probability. Bayesian trend analysis indicated that the two populations had very different chances of declining at biologically important rates. For example, the probability that the first population was declining faster than 5% per year was 0.00, compared to a probability of 0.86 for the second population. The Bayesian results appropriately identified which population was of greater conservation concern. The Bayesian results contrast with those obtained with traditional hypothesis testing. Hypothesis testing indicated that the first population, which the Bayesian analysis indicated had no chance of declining at > 5% per year, was declining significantly because it was declining at a slow rate and the abundance estimates were precise. Despite the high probability that the second population was experiencing a serious decline, hypothesis testing failed to reject the null hypothesis of no decline because the abundance estimates were imprecise. Finally, I extended the trend analysis to illustrate Bayesian decision theory, which allows for choice between more than two decisions and allows explicit specification of the consequences of various errors. The Bayesian results again differed from the traditional results: the decision analysis led to the conclusion that the first population was declining slowly and the second population was declining rapidly.     

National status and trends mussel watch program: chlordane-related compounds in Gulf of Mexico oysters, 1986-1990

The National Oceanic and Atmospheric Administration's National Status and Trends (NS&T) Program has been monitoring the chemical contamination in bivalve tissues from the US coastal waters since 1986. alpha-Chlordane, trans-nonachlor, heptachlor and heptachlor epoxide, components of technical chlordane, are among the chlorinated pesticides measured. The geographical distribution of these chlordane compounds in oyster samples from the US Gulf of Mexico is well-established. For example, highest residue levels, predominantly alpha-chlordane and trans-nonachlor, were encountered in samples collected near highly populated areas in contrast with the concentrations measured in predominantly agricultural areas. Data collected during 5 years of bivalve sampling are used to evaluate temporal trends in residue concentrations at most NS&T sites. Minor decreases can be observed in the concentrations of alpha-chlordane and trans-nonachlor. Heptachlor and its epoxide concentrations, in contrast, have been increasing since 1987.