Environmental performance,indicators and measurement uncertainty in EMS context: a case study

EMS is a tool for managing the interaction between the organization and the environment. The aim of an EMS is to improve the overall environmental performance of the organization. The performance should be monitored through measurements, and managed by indicators. Indicators are variables that summarize or otherwise simplify relevant information about the state of a complex system. A correct evaluation of environmental performance arises from the choice of adequate “raw” data and from the relationships among “raw” data.This paper, after a short excursus concerning the rule of indicators in environmental performance evaluation and the mean of uncertainty, proposes an approach to the study and the evaluation, through indicators and indices, of the environmental aspect “wastewater discharges” of a Local Authority who is involved in EMS implementation. Particularly, the critical analysis of one of the indices that has been used is reported. The role of the uncertainty of measurements has been stressed. The results showed that measurement uncertainty is essential for an efficient data comparison and for a correct evaluation of environmental performance, which, in turn, is essential to guarantee the effectiveness of the EMS application.     

Regional eco-efficiency indicators – a participatory approach

Eco-efficiency emerged in the 1990s as a measure of “the efficiency with which ecological resources are used to meet human needs.” Eco-efficiency indicators as tools for regional sustainability policy were demonstrated in a Life-Environment project, ECOREG, in the Finnish region of Kymenlaakso. A participatory approach was utilised to produce indicators that are relevant for regional decision-makers and that will actually be used. The approach established a system through which decision-makers are able to monitor changes using several economic-environmental ratio indicators, and at the same time obtain information on the social progress taking place in the region. In the future, there will be a need for an ongoing dialogue among the different actors in the region in order to ensure that the indicators are indeed used to promote sustainable development.     

An assessment of conservation alternatives of Laelia albida (Orchidaceae) in Zapotitlan Salinas,Puebla, through the Mexican Wild Species Extinction Risk Evaluation Method (MER): Culture and uses of the biological resource

Defining conservation-liable species is one of the main issues that conservation biology faces. Elucidating species selection criteria through institutional regulations and management system settlement are among the challenges that correct biodiversity use presents. In this work, we evaluate a Laelia albida (“white little nun”) orchid population, in the Zapotitlán Salinas Valley, Mexico, through the Mexican Wild Species Extinction Risk Evaluation Method (MER) criteria in order to obtain data that could support the proposal of its being included in a Mexican official norm. On the other hand, we present experiences that help establish other alternatives, which include ex situ and in situ conservation, as well as the inhabitants instruction for the integral development of the resource, specially because this is an ethnobotanically important species embedded in the valley inhabitants cultural life. L. albida is one of the characteristic elements of the “Día de Muertos” festivities altars, a worldwide recognized traditional religious celebration, and one of the most rooted among the Mexican mestizo population.     

Dynamic equity carbon permit allocation scheme to limit global warming to two degrees

Significant international collaboration is required to limit global temperature increase to below 2 °C above pre-industrial levels. Equity is the foundation of cooperation, and therefore, this study proposed a new dynamic carbon permit allocation scheme based on four principles: equality, historical responsibility, capability, and future development opportunities. Decision makers could have different preferences for allocating carbon permits, therefore, four equity rules or indicators (equality, responsibility, capacity, and sovereignty) were assigned different weights. Based on the global carbon budget of the 2 °C target, emission permits were calculated and relevant economic implications analyzed using the Global Change Assessment Model. Results indicated that developed countries should reduce emissions immediately, while allowances for developing regions could permit an initial increase in emissions until peaking. Applying different weights to the indicators resulted in multifarious regional allowances. Developed regions would benefit from the “preferring sovereignty” scenario and most developing countries would benefit under the “preferring responsibility” and “preferring capacity” scenarios. Compared with the Intended Nationally Determined Contributions submitted to the United Nations Framework Convention on Climate Change, this study found that in the short term, developed countries might insist on sovereignty as the preferred indicator. However, preferring sovereignty would place substantial mitigation pressures on developing countries in the long term. Therefore, in addressing global climate change, a dynamic choice in the weighting distribution for different indicators might be conducive to international agreement. Furthermore, a market-based trading instrument could help all participants both mitigate global climate change by reducing regional and global costs and facilitate mitigation capital flow from developed to less developed regions.     

Developing indicators for environmental policy: data-driven and theory-driven approaches examined by example

This paper investigates the issues involved with environmental indicator development for policy by looking at three recent examples from data and theory-driven approaches. The “Environmental Sustainability Index 2001” report from World Economic Forum, YCELP and CIESIN is taken as an example of the data-driven approach, whereby data availability is the central criterion for indicator development and data is provided for all selected indicators. The other two examples are theory-driven, whereby, the focus is on selecting the best possible indicators from a theoretical point of view and data availability is considered only one of the aspects involved. These examples are the Heinz Center’s1999 report on the “State of the Nation’s Ecosystems” and the US National Research Council (NRC) report on “Ecological Indicators for the Nation”. The reports and approaches are discussed and compared in order to determine their strengths and weaknesses. From this lessons are drawn for future environmental indicator work as a basis for policymaking. In the conclusions four important issues are addressed: (1) data availability; (2) ecosystem specificity of indicators; (3) spatial and conceptual aggregation of indicators and (4) baseline or reference values for indicators. For each of these issues recommendations are made.     

Insights from a Systematic Search for Information on Designs,Costs, and Effectiveness of Poliovirus Environmental Surveillance Systems

Poliovirus surveillance plays a critical role in achieving and certifying eradication and will play a key role in the polio endgame. Environmental surveillance can provide an opportunity to detect circulating polioviruses prior to the observation of any acute flaccid paralysis cases. We completed a systematic review of peer-reviewed publications on environmental surveillance for polio including the search terms “environmental surveillance” or “sewage,” and “polio,” “poliovirus,” or “poliomyelitis,” and compared characteristics of the resulting studies. The review included 146 studies representing 101 environmental surveillance activities from 48 countries published between 1975 and 2016. Studies reported taking samples from sewage treatment facilities, surface waters, and various other environmental sources, although they generally did not present sufficient details to thoroughly evaluate the sewage systems and catchment areas. When reported, catchment areas varied from 50 to over 7.3 million people (median of 500,000 for the 25% of activities that reported catchment areas, notably with 60% of the studies not reporting this information and 16% reporting insufficient information to estimate the catchment area population size). While numerous studies reported the ability of environmental surveillance to detect polioviruses in the absence of clinical cases, the review revealed very limited information about the costs and limited information to support quantitative population effectiveness of conducting environmental surveillance. This review motivates future studies to better characterize poliovirus environmental surveillance systems and the potential value of information that they may provide in the polio endgame.     

University research for sustainable development: definition and characteristics explored

University research is pivotal for sustainable development, but to succeed, new ways of conducting research are needed. Only recently has the field of “sustainability and higher education” (SHE) started to deal with the issue. In this paper we define “university research for sustainable development” comprehensively as “all research conducted within the institutional context of a university that contributes to sustainable development”, and propose a set of twenty two preliminary characteristics of this concept. We provide foundational information in particular for various university stakeholders, and those of higher education in general, considering the (re)orientation of research towards sustainable development and offer a beginning of dialogue on the subject, within SHE.     

Life cycle engineering methodology applied to material selection,a fender case study

Materials selection is a multidisciplinary activity, which integrates a large number of knowledge fields and professional domains. In fact a material selection decision should capture not only the functional performance required for the application but should also consider the economical and environmental impacts originated all along the product life cycle. In this paper a life cycle engineering (LCE) approach is proposed to support material selection, integrating the performance of the material for the specific application in technological, environmental and economical dimensions throughout the duration of the product. The methodology proposed compares a set of candidate materials and, through the aggregation of the three dimensions (technical, economical and environmental), identifies the “best material domains”. These “best material domains” are presented in a ternary diagram, which allows a global comparison of the candidate materials and supports an informed decision as regards the selection of the “best material” according to different business scenarios and corporate strategies. The methodology was applied to a case study aiming the use of new metallic materials (high strength steels and aluminium alloys) for an automobile fender currently made of mild steel and the evaluation of potential benefits as regards the global performance of the material.     

An exploration of measures of social sustainability and their application to supply chain decisions

Sustainability recognizes the interdependence of ecological, social, and economic systems – the three pillars of sustainability. The definition of corporate social responsibility (CSR) often advocates ethical behavior with respect to these systems. As more corporations commit to sustainability and CSR policies, there is increasing pressure to consider social impacts throughout the supply chain. This paper reviews metrics, indicators, and frameworks of social impacts and initiatives relative to their ability to evaluate the social sustainability of supply chains. Then, the relationship between business decision-making and social sustainability is explored with attention initially focused on directly impacting national level measures. A general strategy for considering measures of social sustainability is proposed, and a variety of indicators of CSR are described. Several of these indicators are then employed in an example to demonstrate how they may be applied to supply chain decision-making.     

Complementarity,biodiversity viability analysis,and policy-based algorithms for conservation

Biodiversity conservation “area-selection” strategies include not only trade-offs among society’s needs in land-use allocation, but also allocation of economic instruments such as incentives, levies, and biodiversity credits. For these applications, the key property of an area is its “complementarity”—the context-dependent, marginal gain in biodiversity provided by the area. Given that there has been little implementation of whole-sets of areas generated by the popular computer-based selection methods, we suggest that analogous “policy-based algorithms” would be a more effective real-world application of complementarity. Areas would be “selected” for conservation over time as a consequence of policies in which dynamic complementarity values influence application of economic instruments. These integrated biodiversity/economic strategies can use an extended form of complementarity reflecting marginal changes in regional probability of persistence of biodiversity. While probabilistic measures of biodiversity viability have been explored in area-selection for some time, it remains difficult to make viability statements about “all of biodiversity.” New approaches that use biodiversity surrogate information for “biodiversity viability analysis” (BVA) can take advantage of a general quantitative biodiversity framework in which pattern-based relationships among areas allow predictions at the species level. A standard assumption of “unimodal” species responses to environmental gradients yields an expected distribution of species in an ordination pattern, and allows sampling of inferred species. Based on environmental correlates, inferred species can be mapped in geographic space, forming distribution fragments. This information, when linked to species persistence models, may allow ongoing calculation of areas’ complementarity values. An example illustrates application of these ordination models to museum collection data for lizards from New South Wales (NSW), Australia.     

Inclusion of sex chromosomes in noninvasive prenatal testing in Asia,Australia, Europe and the USA: A survey study

Objective

To examine the extent to which sex chromosomes are included in current noninvasive prenatal testing (NIPT) and the reporting practices with respect to fetal chromosomal sex and sex chromosome aberrations (SCAs), in addition to an update on the general implementation of NIPT.

Method

A questionnaire addressing the research objectives was distributed by email to fetal medicine and clinical genetics experts in Asia, Australia, Europe and the USA.

Results

Guidelines on NIPT are available in the majority of the included countries. Not all existing guidelines address reporting of fetal chromosomal sex and SCAs. In most settings, NIPT frequently includes sex chromosomes (five Australian states, China, Hong Kong, Israel, Singapore, Thailand, USA and 23 of 31 European countries). This occurs most often by default or when parents wish to know fetal sex. In most settings, a potential SCA is reported by stating the risk hereof as “low” or “high” and/or by naming the SCA. Less than 50% of all pregnant women receive NIPT according to respondents from three Australian states, China, Israel, Singapore, Thailand and 24 of 31 European countries. However, this percentage, the genomic coverage of NIPT and its application as primary or secondary screening vary by setting.

Conclusion

In most of the studied countries/states, NIPT commonly includes sex chromosomes. The reporting practices concerning fetal chromosomal sex and SCAs are diverse and most commonly not addressed by guidelines. In general, NIPT is variably implemented across countries/states.     

Life Cycle Assessment as an engineer's tool?

Life Cycle Assessment (LCA) is an increasingly important evaluation tool for decision making and stakeholder discussion; especially when applied during the planning phase, it can pinpoint process steps with a high environmental impact and thus, provide guidance towards optimising the actual technology implementation. These aspects influencing the engineer's work are investigated on the basis of an LCA of the production of Biodiesel from Tallow and Used Vegetable Oil. Impact assessments with the Sustainable Process Index (SPI) and with the problem-oriented approach, show largely concordant results. The highly aggregated indicator SPI makes comparison between options possible. It provides “a bigger picture” of the environmental impacts and is helpful in decision making.     

Interdisciplinary production of knowledge with participation of stakeholders: A case study of a collaborative project on climate variability,human decisions and agricultural ecosystems in the Argentine Pampas

There is a growing perception that science is not responding adequately to the global challenges of the 21st century. Addressing complicated, “wicked” current and future environmental issues requires insights and methods from many disciplines. Furthermore, to reach social robustness in a context of uncertainty and multiple values and objectives, participation of relevant social actors is required. As a consequence, interdisciplinary research teams with stakeholder or practitioner involvement are becoming an emerging pattern for the organization of integrative scientific research or integrated assessments. Nevertheless, still there is need to learn from actual experiences that bring together decision makers and scholars from different disciplines. This paper draws lessons from a self-reflective study of the collaborative process in two interdisciplinary, multi-institutional, multinational research teams addressing linkages between climate variability, human decisions and agricultural ecosystems in the Argentine Pampas. During project design, attention must be placed on team composition, ensuring not only that the needed talents are included, but also recruiting investigators with an open attitude toward interdisciplinary interaction. As the project begins, considerable effort must be dedicated to shared problem definition and development of a common language. Simple conceptual models and considerable redundancy in communication are helpful. As a project evolves, diverging institutional incentives, tensions between academic publication and outreach or policy-relevant outputs, disciplinary biases, and personality issues play increasingly important roles. Finally, toward a project's end the challenge arises of assessing interdisciplinary, integrative work. The lack of consensus on criteria for assessment of results is often ranked as a major practical difficulty of this kind of research. Despite many efforts to describe and characterize collaborative research on complex problems, conditions for success (including the very definition of “success”) remain to be rigorously grounded on actual cases. Toward this goal, we argue that a self-reflective process to identify and intervene on factors that foster or impede cooperative production of knowledge should be an essential component of integrated assessments involving scientists, practitioners and stakeholders.     

Corporate social responsibility in the mining industry: Exploring trends in social and environmental disclosure

In recent years, concerns about the sustainability and social responsibility (CSR) of businesses have become an increasingly high profile issue in many countries and industries, none more so than the mining industry. For mining, one outcome of the CSR agenda is the increasing need for individual companies to justify their existence and document their performance through the disclosure of social and environmental information. This paper explores recent trends in the reporting of such impacts and issues in the global mining industry. It offers a detailed review of the development of the media of social and environmental disclosure in the mining industry, and of the factors that drive the development of such disclosure. A temporal analysis of the recent trends in disclosure using a case study of the world's 10 largest mining companies is presented. Whilst there is evidence of increasing sophistication in the development of social and environmental disclosure, there is considerable variation in the maturity of reporting content and styles of these companies. The paper offers a simple classification of reporting companies, from ‘leaders’ to ‘laggards’. Stronger leadership and co-operation from the top reporting companies is necessary to support the laggards of the industry.     

Response of red deer stags (Cervus elaphus) to playback of harsh versus common roars

Red deer stags (Cervus elaphus) give two distinct types of roars during the breeding season, the “common roar” and the “harsh roar.” Harsh roars are more frequent during contexts of intense competition, and characterized by a set of features that increase their perceptual salience, suggesting that they signal heightened arousal. While common roars have been shown to encode size information and mediate both male competition and female choice, to our knowledge, the specific function of harsh roars during male competition has not yet been studied. Here, we investigate the hypothesis that the specific structure of male harsh roars signals high arousal to competitors. We contrast the behavioral responses of free ranging, harem-holding stags to the playback of harsh roars from an unfamiliar competitor with their response to the playback of common roars from the same animal. We show that males react less strongly to sequences of harsh roars than to sequences of common roars, possibly because they are reluctant to escalate conflicts with highly motivated and threatening unfamiliar males in the absence of visual information. While future work should investigate the response of stags to harsh roars from familiar opponents, our observations remain consistent with the hypothesis that harsh roars may signal motivation during male competition, and illustrate how intrasexual selection can contribute to the diversification of male vocal signals.     

Which “fairness”, for whom,and why? An empirical analysis of plural notions of fairness in Fairtrade Carbon Projects,using Q methodology

Fairness is a relative concept with multiple, subjective and competing notions of what it is, how to achieve it, and for which beneficiaries. Fairtrade International's collaborative efforts to develop a standard to certify Fairtrade Carbon Credits (FCCs) brought together multiple stakeholders in a deliberative context. This paper uses Q methodology to empirically assess the notions of fairness this wider consultation group held. Three distinct ‘factors’ (or perspectives) are identified, and discussed in relation to a multi-dimensional framework for exploring fairness. The first factor prioritises development delivered through organisations, participation in decision-making and use of minimum prices to adjust trade imbalances. The second factor conceptualises a non-exclusive approach maximising generation and sales of FCCs, involving a commodity chain where everyone performs their optimum function with financial transparency and information-sharing to facilitate negotiations. The third factor involves minimising intervention, allowing carbon commodity chains and project set-ups to function efficiently, and make their own adjustments to enhance benefits access and quality received by beneficiaries. The three factors reflect debates within carbon and fair trade spheres about who should be playing which roles, who should be accessing which benefits, and how people should be supported to interact on an uneven playing field. Communicating findings to standards organisations enables a more open and inclusive policy process. Our research provides a critical reflection on these plural notions of fairness, identifying areas of (dis)agreement within the FCC dialogue, and provides a wider, yet manageable, set of inputs for supporting the FCC process during its inception and subsequent implementation. Clearer definitions of “fairness” are also useful for standards organisations in reviewing ex post whether “fairness” goals have been met.     

Typologies of crop-drought vulnerability: an empirical analysis of the socio-economic factors that influence the sensitivity and resilience to drought of three major food crops in China (1961–2001)

Why is it that sometimes small droughts trigger serious crop losses while in other cases even large droughts do not have such a major effect? In this paper, we identify socio-economic indicators associated with sensitivity and resilience to drought for each of China's main grain crops (rice, wheat and corn). Provincial harvest and rainfall data (1961–2001) are used to calculate an annual “crop-drought vulnerability index”. We separate “sensitive cases” (where significant harvest losses occurred in years with only minor droughts) and “resilient cases” (where harvest losses were minimal despite there being a major drought) and explore the socio-economic characteristics of these different situations. Results show that sensitive cases were particularly common in economically poor landlocked provinces and in wealthy coastal areas that have a limited land base. In such “sensitive cases”, the size of the rural population and the quantity of agricultural inputs were negatively correlated with drought vulnerability, while for resilient cases, vulnerability was negatively correlated with the abundance of land. This leads us to propose a series of drought-vulnerability typologies based on the extent to which land, labour, capital, agricultural technology, and infrastructure buffer or exacerbate the effect of a drought event.     

Measurement of green productivity and its improvement

The measurement framework of the green productivity (GP) of a product system, or process, and its improvement are discussed. Two types of GP indicators are developed to help understand the practical concept and executive approaches of GP, using environmental management tools such as life cycle assessment (LCA) and total cost assessment (TCA). GP index is defined as the ratio of productivity of a system to its environmental impacts. This index is intended for estimating the GP performance of an existing product or process and comparing it with other equivalents. Specifically, the GP index is a measure of the GP performance of a product system throughout its entire life cycle. The “overall” GP index can be divided into a “direct” GP index and an “indirect” GP index which are intended to analyze the GP performances of direct production processes and indirect upstream processes, respectively. For internal managerial decision, GP ratio is developed to select one alternative out of a list of contenders in order to improve the GP performance of an existing system. In addition, GP portfolio is drawn up to check the strengths and weaknesses of alternatives. A case study of a petrochemical company in Korea is provided as an example for illustrating the feasibility of the indicators developed here (GP index and GP ratio) for the measurement of GP and its improvement.     

流域水质目标管理的AIZ量化分配技术

“分配影响区”（AIZ）概念是对传统混合区概念及其应用的一次重要补充和修正.它以保持水生态完整性为目的,将分配的概念引入对混合区的管理.AIZ过程涉及的“相对环境价值”、“保护水平”和“毒性质量”等重要概念需要多学科共同研究确定,也是分配过程的关键.在详细介绍了AIZ制定过程的基础上,以大宁河为例说明分配计算过程.采用基于毒性质量的分配方法,结合相关文献资料确定水体用途区和有关参数,计算出各用途区内AIZ的允许面积,该面积即为水体中各排放允许的影响区域.最后给出计算结果说明和管理应用,认为该分配结果要严于一般的“混合区”规定.同时认为该方法是对水体进行综合、量化管理的一个有效手段.