Mars, Materials, and Three Morality Plays: Materials Flows and Environmental Policy

Although industrial ecology represents a captivating metaphor and rich repertoire of analytical tools, its impact on environmental policy has been marginal at best. This article examines the insights provided by the studies of three common materials in the US. economy-lead, arsenic, and silver-and the abilrty of such studies to illuminate some larger and looming challenges for future environmental policy. Three specific challenges are explored: the flow of materials across national borders, the increasing embodiment of emissions in products, and the dangers of unchallenged assumptions about the drivers of material flows. The article argues that industrial ecology can inform public policy but that it is time for the practitioners of industrial ecology, an applied science, to apply it in the often messy world of environmental policymaking.     

Environmental Security as a Case Study in Industrial Ecology

Environmental security is the integration of environmental and national security considerations at a national policy level. It is a relatively new and still somewhat contentious concept, although in some countries, such as the United States, it is increasingly being embedded in traditional security and foreign policy institutions. It is of interest to the industrial ecologist for several reasons. First, from the methodological perspective, environmental security issues are frequently complex, multidisciplinary, and multiscalar in both temporal and geographic dimensions. They are thus good opportunities to apply existing industrial ecology tools such as industrial metabolism stock and flow studies, as well as to support the development of new industrial ecology methods. Second, environmental security offers an important case study of an important fundamental industrial ecology dynamic: the movement of environment from overhead to strategic for society. This process occurs at many different scales, from implementation of design for environment methodologies within firms to integration of environmental and trade considerations in the World Trade Organization; and it is important for the industrial ecologist to begin to understand its underlying dynamics. Finally, national security is the quintessential raison d'etre of the national state. Accordingly, the integration of environmental considerations into national security policies and institutions, using industrial ecology methodologies and patterns of analysis, is a significant validation of the field.     

Exergy Sustainability Indicators as a Tool in Industrial Ecology

Abstract: Life-cycle assessment is an established tool for industrial ecology. An analysis of the energy use in the chemical and other energy-intensive industries is still under discussion in this field. We argue that the concept of exergy can play a role in industrial ecology, using a recent Norwegian power production policy question as illustration. The question is whether to build a standard natural gas- or a hydrogen-fired gas-turbine combined-cycle power plant to meet increased needs for electricity in Norway. Several indicators are relevant for this discussion, and we calculate three based on exergy calculations, as proposed in the literature. The indicators are exergy renewability, exergy efficiency, and environmental compatibility. We show how these indicators can be used to evaluate paths for sustainable power production in two gas-fired combined-cycle power plants. We found that the two plants in question were equivalent, as judged by their exergy renewability and their environmental compatibility, but not by their exergy efficiency. This indicator favored the standard power plant, possibly in combination with carbon dioxide (CO₂) sequestration in a depleted gas reservoir. The analysis suggested that the present situation for power production in gas-fired combined-cycle power plants is such that one may have to choose in general between power production with a high exergy efficiency, but low renewability indicator, or the opposite, low exergy efficiency and high renewability indicator. The general importance of exergy analysis was demonstrated by this example. It enables communication between different professional groups. The technological details, understood by the engineers, can be transposed to meaningful aggregated indicators for decision makers.     

The Green Design Apprenticeship

In order to convey the results of our industrial ecology research to broader audiences, the Green Design Institute research group at Carnegie Mellon University offers the Green Design Apprenticeship for local high school students. The Green Design Apprenticeship introduces participants to industrial ecology concepts and how they intersect with engineering. The content of the program has evolved to include the topics of life cycle assessment, energy and water resources, transportation, and the built environment. The program has resulted in exposing a new generation of scholars to industrial ecology and has also benefited the research of graduate students involved with the program. The process of developing the instructional materials for younger, novice students based on complex industrial ecology research was a challenging task requiring thoughtful and iterative planning. Through the development and delivery of the program, we have experienced awareness of where our own research fits into the larger industrial ecology scope, have improved our communication of complex industrial ecology concepts into simple terms, and have gained valuable insight for engaging students in our teaching.     

An Approach to Integrating Environmental Considerations Within Managerial Decision‐Making

Recent environmental trends, including (1) an expansion of existing command and control directives, (2) the introduction of market‐based policy instruments, and (3) the adoption of extended producer responsibility, have created a need for new tools to help managerial decision‐making. To address this need, we develop a nonlinear mathematical programming model from a profit‐maximizing firm's perspective, which can be tailored as a decision‐support tool for firms facing environmental goals and constraints. We typify our approach using the specific context of diesel engine manufacturing and remanufacturing. Our model constructs are based on detailed interviews with top managers from two leading competitors in the medium and heavy‐duty diesel engine industry. The approach allows the incorporation of traditional operations‐planning considerations—in particular, capacity, production, and inventory—together with environmental considerations that range from product design through production to product end of life. A current hurdle to implementing such a model is the availability of input data. We therefore highlight the need not only to involve all departments within businesses but also for industrial ecologists and business managers to work together to implement meaningful decision models that are based on accurate and timely data and can have positive economic and environmental impact.     

Restoration ecology: the study of applied optimism

As a young trainee in the field of restoration ecology in the modern age, it is difficult to feel optimistic about our future. As many environmental protections are de‐regulated and the climate crisis heightens, I turned to restoration to find hope in a changing world. Restoration ecologists are the optimists of biology. We work every day to make the world a better place and our passion and forward thinking spurred the United Nation's “decade of restoration.” Learning about the successes of the hardworking members of this field gives me hope. As the earth moves toward an unimaginable future, we should continue to try to make the world a better place and encourage those around us to act and restore the environments they value, whether it be large‐scale restoration or preserving garden pollinator habitat. I am forever thankful to restoration ecology and the optimism the field provides.     

Individual‐based ecology of coastal birds

Conservation objectives for non‐breeding coastal birds (shorebirds and wildfowl) are determined from their population size at coastal sites. To advise coastal managers, models must predict quantitatively the effects of environmental change on population size or the demographic rates (mortality and reproduction) that determine it. As habitat association models and depletion models are not able to do this, we developed an approach that has produced such predictions thereby enabling policy makers to make evidence‐based decisions. Our conceptual framework is individual‐based ecology, in which populations are viewed as having properties (e.g. size) that arise from the traits (e.g. behaviour, physiology) and interactions of their constituent individuals. The link between individuals and populations is made through individual‐based models (IBMs) that follow the fitness‐maximising decisions of individuals and predict population‐level consequences (e.g. mortality rate) from the fates of these individuals. Our first IBM was for oystercatchers Haematopus ostralegus and accurately predicted their density‐dependent mortality. Subsequently, IBMs were developed for several shorebird and wildfowl species at several European sites, and were shown to predict accurately overwinter mortality, and the foraging behaviour from which predictions are derived. They have been used to predict the effect on survival in coastal birds of sea level rise, habitat loss, wind farm development, shellfishing and human disturbance. This review emphasises the wider applicability of the approach, and identifies other systems to which it could be applied. We view the IBM approach as a very useful contribution to the general problem of how to advance ecology to the point where we can routinely make meaningful predictions of how populations respond to environmental change.     

A Comprehensive Material Flow Account for Lao PDR to Inform Environmental and Sustainability Policy

Modern environmental and sustainability policy that acknowledges the linkages between socioeconomic processes and environmental pressures and impacts, and designs policies to decouple economic activity from environmental pressures and impacts, requires a sophisticated and comprehensive knowledge base. The concept of industrial metabolism provides a sound conceptual base, and material flow accounting—including primary material inputs and outflows of waste and emissions—provides a well‐accepted operationalization. Studies presenting a comprehensive material flow account for a national economy are rare, especially for developing countries. Countries such as Lao People's Democratic Republic (Lao PDR or Laos) face dual objectives of improving the material standard of living of their people while managing natural resources sustainably and mitigating adverse environmental impacts from growing resource throughput. Our research fills a knowledge gap, presents a comprehensive account of material inputs and outflows of waste and emissions for the Lao PDR national economy, and applies the accounting approach for a low‐income economy in Asia. We present a material balance for the years 2000 and 2015. For this research, we used data from Lao PDR national statistics and the accounting guidelines of the European Statistical Office (Eurostat), which pioneered the use of material flow data as part of its official statistical reporting. We demonstrate the feasibility of the accounting approach and discuss the robustness of results using uncertainty analysis conducted with statistical approaches commonly used in the field of industrial ecology, including Gauss's law of error propagation and Monte Carlo simulation. We find that the fast‐changing scale and composition of Lao PDR material flows, waste, and emissions presents challenges to the existing policy capacity and will require investment into governance of changed patterns of material use, waste disposal, and emissions. We consider the data analysis sufficiently robust to inform such a change in policy direction.     

Learning before Doing

Over the past decade, advances in computing, combined with new techniques for virtual prototyping and simulation, have altered our approach to the areas of training, design, and product and process development. Taken collectively these capabilities represent one of the most significant changes in the production paradigm since the beginning of mass production and one with important implications for the environment. These advances need to be viewed as more than just a new set of tools in the industrial ecology tool box They provide the basis for a fundamental shift in how we learn and solve environmental problems-an opportunity to move from learning too late to learning before doing. Industrial ecology can embrace and articulate this new framework for learning and apply it broadly to the challenge of facilitating social and technological change and innovation in an increasingly complex world.     

Teaching Industrial Ecology to Graduate Students: Experiences at the Norwegian University of Science and Technology

We reflect on our experiences in developing and teaching industrial ecology to interdisciplinary classes of M.Sc. and Ph.D. students. During a three-year period different ways of teaching a course in industrial ecology were tested. We conclude that an industrial ecology course has positive effects on the students' ability to acquire a holistic understanding of life-cycle environmental performance, a skill much in demand by industry. Such a course should be based on problem-oriented learning. We recommend the use of thematically-focused seminars with time for both lectures and workshops. We found that substantial participation by teachers from different disciplines and partners from industry and government is very effective. Such a course also facilitates a broader process of change within the university. Implementing industrial ecology in the university requires a joint effort and collaboration among various faculties and departments, where research activities, student projects, as well as regular student teaching and tutoring, must be complementary elements of a major interdisciplinary strategy. Such a strategy has been employed at the Norwegian University of Science and Technology (NTNU) since the first initiatives in this area were taken in 1993, and this has led to our present more comprehensive Industrial Ecology Programme (IndEcol).     

Supply versus use designs of environmental extensions in input–output analysis: Conceptual and empirical implications for the case of energy

Input–output analysis is one of the central methodological pillars of industrial ecology. However, the literature that discusses different structures of environmental extensions (EEs), that is, the scope of physical flows and their attribution to sectors in the monetary input–output table (MIOT), remains fragmented. This article investigates the conceptual and empirical implications of applying two different but frequently used designs of EEs, using the case of energy accounting, where one represents energy supply while the other energy use in the economy. We derive both extensions from an official energy supply–use dataset and apply them to the same single‐region input–output (SRIO) model of Austria, thereby isolating the effect that stems from the decision for the extension design. We also crosscheck the SRIO results with energy footprints from the global multi‐regional input–output (GMRIO) dataset EXIOBASE. Our results show that the ranking of footprints of final demand categories (e.g., household and export) is sensitive to the extension design and that product‐level results can vary by several orders of magnitude. The GMRIO‐based comparison further reveals that for a few countries the supply‐extension result can be twice the size of the use‐extension footprint (e.g., Australia and Norway). We propose a graph approach to provide a generalized framework to disclosing the design of EEs. We discuss the conceptual differences between the two extension designs by applying analogies to hybrid life‐cycle assessment and conclude that our findings are relevant for monitoring of energy efficiency and emission reduction targets and corporate footprint accounting.     

Maximizing the value of systematic reviews in ecology when data or resources are limited

Systematic reviews provide a rigorous, repeatable and quantitative method for assessing and synthesizing all available empirical evidence to evaluate a specific research, management, or policy question. They are particularly well suited for evaluating the effectiveness of environmental management actions, and thus for underpinning evidence‐based adaptive natural resource management. However, their current utility may be limited in countries like Australia, where both the amount of research relative to land area and of well‐monitored, active land management for environmental purposes are relatively low. Based on our experience conducting two of the first ecological systematic reviews in Australia, we have developed a number of recommendations for conducting systematic reviews in situations where resources and/or primary research data are limited. We discuss potential modification or augmentation of most aspects of the systematic review process including selection of a review team, question formulation, search strategy, data analysis, and the communication of results, as well as the inherent tradeoffs between systematic thoroughness and available resources that are involved in these changes. We hope that our recommendations will encourage more ecologists to undertake systematic reviews even if primary research and resources to conduct the review appear to be limited, as even a modified systematic review can provide more defensible evidence‐based guidelines for management of natural resources.     

Environmental Performance Analysis of Eco‐Industrial Parks in China: A Data Envelopment Analysis Approach

In pursuit of more sustainable development of industry, China has been actively developing eco‐industrial parks (EIPs) for more than a decade. However, the environmental value of these EIPs remains largely unverified. This study aimed to evaluate the environmental performance of national EIPs in China using data envelopment analysis. Eco‐efficiency and environmental performance indices were used to represent the static and dynamic environmental performance of EIPs, respectively. An environmental performance index was formed by combining measures of eco‐efficiency in a dynamic setting with the sequential Malmquist index approach. We obtained three main empirical findings. First, 34 national EIPs exhibited a cumulative environmental performance improvement of 89.4% from 2007 to 2010, which is primarily the result of eco‐efficiency change rather than environmental technical change. Second, compared with the trial EIPs, the demonstration EIPs had a higher average eco‐efficiency (0.611 vs. 0.446 in 2010) and experienced greater average environmental performance improvement (129% vs. 60%). Third, the EIPs retrofitted from high‐tech industrial development zones exhibited much higher average eco‐efficiency (0.798 vs. 0.440 in 2010) than those retrofitted from economic and technical development zones. The key measures supporting the performance improvement and policy implications for the development of EIPs are also discussed.     

Reinterpreting Industrial Ecology

This article argues that industrial ecology has, to date, largely engaged with the ecological sciences at a superficial level, which has both attracted criticism of the field and limited its practical application for sustainable industrial development. On the basis of an analysis of the principle of succession, the role of waste, and the concept of diversity, the article highlights some of the key misconceptions that have resulted from the superficial engagement with the science of ecology. It is argued that industrial ecology should not be seen as a metaphor for industrial development; industrial ecology is the ecology of industry and should be studied as such. There are manifold general principles of ecology that underpin our understanding of the world; however, the physical manifestation and causal effects of these principles are particular to the system and its constituent elements under analysis. It is thus proposed that context‐specific observation and analysis of industry are required before theoretical and practical advancement of the field can be achieved.     

Metacommunity Structure of Stream Insects across Three Hierarchical Spatial scales

A major challenge in community ecology is to understand the underlying factors driving metacommunity (i.e., a set of local communities connected through species dispersal) dynamics. However, little is known about the effects of varying spatial scale on the relative importance of environmental and spatial (i.e., dispersal related) factors in shaping metacommunities and on the relevance of different dispersal pathways. Using a hierarchy of insect metacommunities at three spatial scales (a small, within‐stream scale, intermediate, among‐stream scale, and large, among‐sub‐basin scale), we assessed whether the relative importance of environmental and spatial factors shaping metacommunity structure varies predictably across spatial scales, and tested how the importance of different dispersal routes vary across spatial scales. We also studied if different dispersal ability groups differ in the balance between environmental and spatial control. Variation partitioning showed that environmental factors relative to spatial factors were more important for community composition at the within‐stream scale. In contrast, spatial factors (i.e., eigenvectors from Moran's eigenvector maps) relative to environmental factors were more important at the among‐sub‐basin scale. These results indicate that environmental filtering is likely to be more important at the smallest scale with highest connectivity, while dispersal limitation seems to be more important at the largest scale with lowest connectivity. Community variation at the among‐stream and among‐sub‐basin scales were strongly explained by geographical and topographical distances, indicating that overland pathways might be the main dispersal route at the larger scales among more isolated sites. The relative effect of environmental and spatial factors on insect communities varied between low and high dispersal ability groups; this variation was inconsistent among three hierarchical scales. In sum, our study indicates that spatial scale, connectivity, and dispersal ability jointly shape stream metacommunities.     

Linking reductionist science and holistic policy using systematic reviews: unpacking environmental policy questions to construct an evidence-based framework

1. There is a mismatch between broad holistic questions typically posed in policy formation and narrow reductionist questions that are susceptible to scientific method. This inhibits the two-way flow of information at the science-policy interface and weakens the impact of applied ecology on environmental policy.
2. We investigate the approaches to building policy in the health services as a model to help establish a framework in applied ecology and environmental management by which reductionist science can underpin decision making at the policy level.
3. A comparison of policy documents in the health and environmental sectors reveals many similarities in identifying approaches and specific interventions that might achieve policy objectives. The difference is that in the health services, information on the effectiveness of potential interventions is far more readily available through the collaborative process of systematic review.
4. Synthesis and applications . Decision makers are increasingly looking to produce policies that are shaped by evidence through evidence-based policy making. The approach that we outline here provides a framework for structuring systematic reviews to deliver the evidence on key policy issues in a way that will see a faster return and provide better use of the systematic review methodology in environmental management.     

Why academics should study the supply chains of individual corporations

Although fields such as industrial ecology have advanced our understanding of how cleaner technologies, recycling, and lifestyle changes can reduce the impacts of production and consumption on people and planet, environmental deterioration and social injustices stubbornly persist. New strategies are needed to achieve change in an era of increasing urgency. This paper proposes that academics study the supply chains of individual corporations and link them to environmental and social impacts in geographically specific areas. Nongovernmental organizations (NGOs) have used this approach successfully, issuing reports about corporate activity related to deforestation, sweatshops, and other issues of social concern. But academics, by and large, have studied generic products, industries, and sectors. To verify this, after reviewing approximately 11,000 studies on supply chains, we identified just 27 academic papers that focused on individual corporations. These were primarily by NGOs and social scientists, with no studies by industrial ecologists meeting our review criteria. To uncover corporate supply chains, researchers used two distinct methodological approaches: in situ (interviews, surveys, and surveillance) and ex situ (trade data, document analysis, and maps). In this paper, we explain why and how academics should study the supply chains of individual corporations. This is done by combining approaches from industrial ecology, with those from geography, sociology, and other social sciences to develop a political‐industrial ecology of supply chains. This both physically links actual product flows with their environmental impacts, and explores how they affect justice, equity, and welfare. The work we propose offers clear collaborative linkages with NGOs, industry, and the media.     

Internet-Based Integrated Environmental Assessment Using Ontologies to Share Computational Models

New advances in Internet technologies and computer modeling provide opportunities for collaborative systems to support research and development in the field of industrial ecology. In particular, new information technologies such as semantic search engines based on ontologies could help researchers to link fragments of knowledge generated at research centers from around the world. Using a storyline of four imaginary researchers who hope to find collaborators in order to develop their research findings, we illustrate two levels of a four-level architecture for an Internet-based knowledge integration and collaboration environment for integrated environmental assessment. The foundation of the proposed architecture is a belief that computational models are an effective medium for conveying expert knowledge of various phenomena. Drawing from this premise, the first level of the architecture stands on a base of computational models that in some way represent the expert knowledge of the model builder. At the second level, we provide markup and interface definition tools to describe the type of knowledge contained in each model, together with the types of information services that can be provided.
The results of research at these two levels of an Internet-based knowledge integration environment for integrated environmental assessment in industrial ecology are presented in this article. Our work on the third level of model searching and matching and the fourth level of parametric model integration and solving will be presented in subsequent articles.     

The big ecological questions inhibiting effective environmental management in Australia

The need to improve environmental management in Australia is urgent because human health, well‐being and social stability all depend ultimately on maintenance of life‐supporting ecological processes. Ecological science can inform this effort, but when issues are socially and economically complex the inclination is to wait for science to provide answers before acting. Increasingly, managers and policy‐makers will be called on to use the present state of scientific knowledge to supply reasonable inferences for action based on imperfect knowledge. Hence, one challenge is to use existing ecological knowledge more effectively; a second is to tackle the critical unanswered ecological questions. This paper identifies areas of environmental management that are profoundly hindered by an inability of science to answer basic questions, in contrast to those areas where knowledge is not the major barrier to policy development and management. Of the 22 big questions identified herein, more than half are directly related to climate change. Several of the questions concern our limited understanding of the dynamics of marine systems. There is enough information already available to develop effective policy and management to address several significant ecological issues. We urge ecologists to make better use of existing knowledge in dialogue with policy‐makers and land managers. Because the challenges are enormous, ecologists will increasingly be engaging a wide range of other disciplines to help identify pathways towards a sustainable future.     

环境投入产出分析在产业生态学中的应用

综述了环境投入产出分析的基本知识及其在产业生态学领域的应用。环境投入产出分析的核心是投入产出模型,包括价值型投入产出模型、实物型投入产出模型和混合型投入产出模型。环境投入产出分析在产业生态学领域主要用于环境压力核算、生命周期评估、社会经济因素相对贡献分析、产业链路径分析、风险影响分析和环境网络分析。同时,相关学者进行环境投入产出数据库开发,给环境投入产出分析提供便捷、标准化的数据渠道。讨论了环境投入产出分析的若干发展趋势。