Concentration and risk assessments of mercury along the elevation gradient in soils of Langtang Himalayas,Nepal

The fragile Himalayan region could be regarded as the sink for various pollutants transported from urbanized and polluted areas of South Asia. Therefore, in order to understand the concentrations, spatial distribution, pollution, and risk assessments of toxic heavy metal, mercury (Hg), surface soil samples were taken from the central Himalayas in the Langtang region. The average THg concentration in the Langtang Himalayas was 35.75 ± 24.41(ngg^?1), which is comparable to the Tibetan top soil values and slightly lower than world average soil values. In addition, an inverse relationship of THg with elevation were observed (i.e. decrease in concentration with increase in elevation) in the Langtang Himalayan soils. Meanwhile, THg concentrations and TOC% were significantly positively correlated at both the depths (0–10 and 10–20 cm), inferring the sorption capacity of organic carbon for Hg. The results of the geo-accumulation index (I_geo), enrichment factor (EF), and pollution index (PI) indicated limited or no pollution by Hg in the Himalayan soils. Further, surface soils had a low potential ecological risk in the region. Therefore, the Hg value from this study could be used for the further evaluation and calculation of I_geo, EF, and PI for water, soil, and aerosol in the Himalayan region as background reference value. However, Hg pollution from long-range transport and atmospheric deposition (wet/dry) in future could not be ignored in the Himalayan region.     

Assessment of water quality and health risks for toxic trace elements in urban Phewa and remote Gosainkunda lakes,Nepal

The concentration of 13 metals (Al, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Cd, Pb, and Hg) and their associated health risk assessment was performed for two Himalayan lakes, urban Phewa and remote Gosainkunda, from Nepal. Water Quality Index (WQI), Metal Index (MI), Hazard Quotient (HQ), Hazard Index, and Cancer Risk were calculated in order to evaluate the water quality of these lakes. Correlation analysis revealed that Mn and Fe were derived from natural geological weathering processes and Pb, V, Cr, Co, Ni, Cu, Zn, and Cd might have originated from anthropogenic sources. The results revealed that WQI of the remote lake fell into excellent water quality and urban lake fell into poor water quality, which is also supported by the MI calculation. Moreover, the HQ of Mn in urban lake showed values greater than unity suggesting its health risk to the local inhabitants. The cancer index values indicated “high” risk due to Cr, whereas Cd possesses “very low” cancer risk on local population residing nearby areas. This study provides the useful database and suggests for the regular assessment and policy formulation for safeguarding the natural water bodies in the region.     

A Comparison of Predictive Methods in Extinction Risk Studies: Contrasts and Decision Trees

Over the last two decades an increasing emphasis has been placed on the importance of controlling for phylogeny when examining cross-species data; so-called comparative methods. These methods are appropriate for testing hypotheses about correlations between evolutionary events in the history of a clade and adaptive responses to those changes. When this approach is applied to extinction risk, possible correlations between evolutionary changes in, for example, body size or habitat specialisation and some measure(s) of current threat status are examined. However, there may be a mismatch here between the results of such studies, and the real, pragmatic needs of species conservation. This kind of approach certainly adds to our knowledge of some fundamental processes, but it is more difficult to see how this can be applied to conservation decision-making. For more practical purposes a decision-tree approach can be extremely useful. This paper illustrates the use of a contrasts based analysis of extinction risk compared with a decision-tree analysis for Galliformes (Aves). While the contrasts analyses concur with some general macroecological trends found in other studies, the decision-tree models provide lists of species predicted to be more at risk than current assessments would suggest. We argue that in practical terms, decision tree models might be more useful than a macroecological linear model-based approach.     

Earthquakes and Risk Management in China

Natural hazards such as floods, tsunamis, wildfire res, droughts, landslides, volcanic eruptions, windstorms, and earthquakes exist everywhere in the world. Earthquakes can pose the greatest threat to human lives, property, and economic development in our society. We review tools that have been developed to assist the earthquake risk management process. We also propose two mechanisms for earthquake risk management: one to possibly better predict earthquake damage magnitude (prediction markets), the other to prepare response team performance (recognition primed decision-making). In conjunction with broader use of information system technology, it may be possible to improve preparedness and response.     

Risk of Disease Transmission between Conservation Personnel and the Mountain Gorillas: Results from an Employee Health Program in Rwanda

Humans and gorillas share 97% of their genetic makeup which means the risk of disease transmission between the two is potentially high. Humans with high exposure and whose exposure-related activity can most easily be managed are park conservation personnel. In June 2001, the Morris Animal Foundations Mountain Gorilla Veterinary Project initiated a health program for all employees working in Rwandas Parc National des Volcans in collaboration with in-country government and nongovernmental agencies. The goal is to improve the health of conservation personnel and reduce the risk of zoonotic disease transmission between employees and the parks mountain gorillas. Employees annually receive a clinical examination and laboratory testing, and provide a clinical history, In 2002, analyses were performed on the dataset of 127 employees to identify potential risk factors associated with positive laboratory tests. Considering all fecal tests combined, 70.1% were positive for one or more pathogenic organisms. A high percentage (> 80%) tested positive on viral antibody titer testing for various communicable diseases including measles, chickenpox, and hepatitis. On multivariate analysis, the main risk factor for testing positive for any pathogenic organism was use of a pit latrine at home. Vaccination against childhood communicable diseases and improved human waste disposal could be critical control points for preventing disease transmission to mountain gorillas. Program results have been shared with local health officials to aid in their efforts to improve village health and sanitation standards, and with park employers as a basis for ongoing employee health education.The Mountain Gorilla Veterinary Project 2002 Employee Health Group members are listed in Appendix 1. by area of contribution.     

Ecological Risk Assessment of China's Freshwater Ecosystems Applying the Relative Risk Model: Toward an Ecosystem-Based Water Management in China

The relative risk model (RRM) was applied to evaluate the ecological risk characterization of the freshwater ecosystems in China, from both overall and region-specific levels. Ten large-scale river basins (further broken into 15 risk regions) in China were chosen as the study objects; 10 sources, two habitats, and seven endpoints were identified as risk components. The results reveal the status of ecosystem conditions, key ecological risk issues, and the spatial heterogeneity of the freshwater ecosystems in China. The policy implications for the ecosystem-based water management contained in the results are discussed. The results obtained in this article provide a deeper understanding of the ecological risk characterization of the freshwater ecosystems in China, and aid in promoting the applications of the RRM as the tool for ecosystem-based water management.     

An Approach for Incorporating Information on Chemical Availability in Soils into Risk Assessment and Risk-Based Decision Making,Prepared by: The New England Environmentally Acceptable Endpoints Workgroup

A regional workgroup comprised of individuals from regulatory agencies, uni versities, and consulting companies was formed to develop an approach for incor porating information on chemical availability in soils into risk assessment and risk based decision making. The approach consists of the following decision framework for including information on chemical availability: (1) Determine the usefulness of incorporating information on bioavailability; (2) Identify information needs from a conceptual model of exposure for the site and from exposure pathways judged critical to the assessment; (3) Identify soil factors that affect bioavailability; (4) Determine the type or form of information (measures and/or models) that can be used within the risk assessment and risk management process; (5) Select methods (measures and/or models) based on the “weight of evidence” or strength of the bioavailability information they will provide and how that information will be used for risk assessment and risk based decision making; (6) Incorporate information into the risk assessment and risk based decision making. These fac tors can be integrated into existing risk based approaches for site management such as Superfund, state approaches, and the ASTM Risk Based Corrective Action Process (RBCA). Consistent with risk assessment guidance, an assessment of chemical availability in soils must consider current as well as reasonably foresee able conditions. The approach recognizes that information on chemical availabil ity is contextual and depends on the receptor and pathway. Further, the value of information depends on how well it is accepted and/or validated for use in regulatory decision making. The workgroup identified four principles for select ing methods (measures and/or models) for obtaining information on chemical availability and for evaluating information on chemical availability for use in risk assessments: (1) soil chemical relevance, (2) pathway relevance, (3) receptor relevance, and (4) acceptance of the method.     

Risk Ranking by the British Public: A Survey of Worry About a Broad Spectrum of Risk Issues

Much attention has focused on people's concerns about technological and environmental risks, but it is important to acknowledge that these are not the only risks that individuals have to face. In this article we present the results of a national survey ranking levels of worry across a broader spectrum of risk issues, including ‘lifestyle’, social welfare, financial and personal safety risks. A total of 1742 interviews were conducted, at home, among a nationally representative quota sample of adults age 15+ in Great Britain. Field work took place between January 24 to 27, 1997. Respondents' spontaneous mentions of worry centered on issues to do with health, education, and money. When prompted, respondents expressed most concern about a number of social issues, while certain ‘lifestyle’ factors identified as significant risks to health were accorded only low levels of worry. The survey demonstrates that risk issues that engage some expert attention do not always have the same immediacy for the general public. Thus, while technological and environmental risks certainly deserve attention, they should not overshadow consideration of other risks that have equal if not greater implications for people's lives.     

The Concept of Data Utility in Health Risk Assessment: A Multi-Disciplinary Perspective

Human and ecological health risk assessments and the decisions that stem from them require the acquisition and analysis of data. In agencies that are responsible for health risk decision-making, data (and/or opinions/judgments) are obtained from sources such as scientific literature, analytical and process measurements, expert elicitation, inspection findings, and public and private research institutions. Although the particulars of conducting health risk assessments of given disciplines may be dramatically different, a common concern is the subjective nature of judging data utility. Often risk assessors are limited to available data that may not be completely appropriate to address the question being asked. Data utility refers to the ability of available data to support a risk-based decision for a particular risk assessment. This article familiarizes the audience with the concept of data utility and is intended to raise the awareness of data collectors (e.g., researchers), risk assessors, and risk managers to data utility issues in health risk assessments so data collection and use will be improved. In order to emphasize the cross-cutting nature of data utility, the discussion has not been organized into a classical partitioning of risk assessment concerns as being either human health- or ecological health-oriented, as per the U.S. Environmental Protection Agency's Superfund Program.     

Common Property and Conservation: The Potential for Effective Communal Forest Management Within a National Park in Mexico

Common property regimes may contribute to environmental conservationand offer a complementary institutional model to state-run protected areas. The potential conservation value of common property management is of particular significance in Mexico, where a large majority of forests are held communally. Systems of common property management often exist in a context of close institutional overlap with state institutions. This project assessed the function of a common property regime nested within Lagunas de Montebello National Park (PNLM) in Chiapas, Mexico. We documented forest status and analyzed common property forest management institutions following severe fires that threatened forest conservation. Forests managed by the common property regime are less intact than federal forests, yet still moderately conserved, and many attributes necessary for common property management are functional, despite the recent fire crisis. Yet external authorities contest common property management by local institutions, resulting in limited joint management by the national park and the community. Formalization and expansion of de facto cooperation between the federal and community institutions may enhance forest conservation within PNLM.     

Extrapolation in Human Health and Ecological Risk Assessments: Proceedings of a Symposium

A symposium was conducted in April 1998 by the U.S. Environmental Protection Agency's National Health and Environmental Effects Research Laboratory (NHEERL) to explore issues of extrapolation in human health and ecological risk assessments. Over the course of three and one half days, leading health and ecology experts presented and discussed research methods and approaches for extrapolating data among taxa and across levels of biological organization, through time, and across spatial scales. The intended result of this symposium was enhanced interaction among a diverse array of scientists, policymakers, and risk assessors to promote identification of approaches for reducing the uncertainties of extrapolation in risk assessment.     

Optimizing Risk Management for the Sustainable Performance of the Regional Innovation System in Korea through Metamediation

In recent years, the concept of Regional Innovation Systems (RIS) has evolved into a widely used analytical framework for sustainable economic development. But in reality, the RIS does not seem to be workable due to the lack of governance. To reduce this operational risk, the emphasis on the structure as well as network management of the system should be merged into a more market-oriented as well as performance-oriented governance. In Korea, there are seven RISs among 14 regions nationwide. Empirically, they are not very sustainable. Thus, the article proposes the role of metamediary for the facilitation, network service provision, and collaboration of the system.     

Identifying Uncertainty in Environmental Risk Assessments: The Development of a Novel Typology and Its Implications for Risk Characterization

Environmental risk analysts need to draw from a clear typology of uncertainties when qualifying risk estimates and/or significance statements about risk. However, categorizations of uncertainty within existing typologies are largely overlapping, contradictory, and subjective, and many typologies are not designed with environmental risk assessments (ERAs) in mind. In an attempt to rectify these issues, this research provides a new categorization of uncertainties based, for the first time, on the appraisal of a large subset of ERAs, namely 171 peer-reviewed environmental weight-of-evidence assessments. Using this dataset, a defensible typology consisting of seven types of uncertainty (data, language, system, extrapolation, variability, model, and decision) and 20 related sub-types is developed. Relationships between uncertainties and the techniques used to manage them are also identified and statistically evaluated. A highly preferred uncertainty management option is to take no action when faced with uncertainty, although where techniques are applied they are commensurate with the uncertainty in question. Key observations are applied in the form of guidance for dealing with uncertainty, demonstrated through ERAs of genetically modified higher plants in the European Union. The presented typology and accompanying guidance will have positive implications for the identification, prioritization, and management of uncertainty during risk characterization.     

Contaminant-Adaptation and Community Tolerance in Ecological Risk Assessment: Introduction

Contaminant tolerance, either at the level of the community or an adaptation within populations, has important implications to the risk assessment field. Such tolerance has alternatively been described as a nuisance variable, complicating the extrapolation of toxicity data to field conditions, or as a ‘good weather indicator’, suggesting environmental resilience to a contaminant. These and other issues are explored in this set of invited papers, in which experienced workers from the field of contaminant tolerance have been invited to comment on the relationship between tolerance and the analysis of environmental risk. In addition, recent decades have seen the use of tolerance as a tool for assessing contaminant stress, particularly when establishing causality between specific contaminant exposure and significant ecological impact. The paradigm suggests that an increased tolerance to a contaminant is powerful causal evidence that this contaminant has exerted significant stress. Review, commentary and original data contributions within this Debate and Commentary section explore both the complicating and advantageous aspects of tolerance in risk assessment. The papers conclude that complications associated with tolerance demand careful consideration during risk assessments, and that while population adaptation does not appear to be a promising tool, community-level resistance might be a powerful instrument in ecological risk assessment.     

Improving Risk Assessment: Research Opportunities in Dose Response Modeling to Improve Risk Assessment

Substantial improvements in dose response modeling for risk assessment may result from recent and continuing advances in biological research, biochemical techniques, biostatistical/mathematical methods and computational power. This report provides a ranked set of recommendations for proposed research to advance the state of the art in dose response modeling. The report is the result of a meeting of invited workgroup participants charged with identifying five areas of research in dose response modeling that could be incorporated in a national agenda to improve risk assessment methods. Leading topics of emphasis are interindividual variability, injury risk assessment modeling, and procedures to incorporate distributional methods and mechanistic considerations into now-standard methods of deriving a reference dose (RfD), reference concentration (RfC), minimum risk level (MRL) or similar dose-response parameter estimates.     

Arsenic in Seafood: Speciation Issues for Human Health Risk Assessment

Major sources of arsenic exposure for humans are foods, particularly aquatic organisms, which are called seafood in this report. Although seafood contains a variety of arsenicals, including inorganic arsenic, which is toxic and carcinogenic, and arsenobetaine, which is considered nontoxic, the arsenic content of seafood commonly is reported only as total arsenic. A goal of this literature survey is to determine if generalizable values can be derived for the percentage of total arsenic in seafood that is inorganic arsenic. Generalizable values for percent inorganic arsenic are needed for use as default values in U.S. human health risk assessments of seafood from arsenic-contaminated sites. Data from the worldwide literature indicate the percent of inorganic arsenic in marine/estuarine finfish does not exceed 7.3% and in shellfish can reach 25% in organisms from presumably uncontaminated areas, with few data available for freshwater organisms. However, percentages can be much higher in organisms from contaminated areas and in seaweed. U.S. site-specific data for marine/estuarine finfish and shellfish are similar to the worldwide data, and for freshwater finfish indicate that the average percent inorganic arsenic is generally < 10%, but ranges up to nearly 30%. Derivation of nationwide defaults for percent inorganic arsenic in fish, shellfish, and seaweed collected from arsenic-contaminated areas in the United States is not supported by the surveyed literature.