Structuring policy problems for plastics,the environment and human health: reflections from the UK

How can we strengthen the science–policy interface for plastics, the environment and human health? In a complex policy area with multiple stakeholders, it is important to clarify the nature of the particular plastics-related issue before trying to understand how to reconcile the supply and demand for evidence in policy. This article proposes a simple problem typology to assess the fundamental characteristics of a policy issue and thus identify appropriate processes for science–policy interactions. This is illustrated with two case studies from one UK Government Department, showing how policy and science meet over the environmental problems of plastics waste in the marine environment and on land. A problem-structuring methodology helps us understand why some policy issues can be addressed through relatively linear flows of science from experts to policymakers but why others demand a more reflexive approach to brokering the knowledge between science and policy. Suggestions are given at the end of the article for practical actions that can be taken on both sides.     

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.     

Experimental strategies to assess the biological ramifications of multiple drivers of global ocean change—A review

Marine life is controlled by multiple physical and chemical drivers and by diverse ecological processes. Many of these oceanic properties are being altered by climate change and other anthropogenic pressures. Hence, identifying the influences of multifaceted ocean change, from local to global scales, is a complex task. To guide policy‐making and make projections of the future of the marine biosphere, it is essential to understand biological responses at physiological, evolutionary and ecological levels. Here, we contrast and compare different approaches to multiple driver experiments that aim to elucidate biological responses to a complex matrix of ocean global change. We present the benefits and the challenges of each approach with a focus on marine research, and guidelines to navigate through these different categories to help identify strategies that might best address research questions in fundamental physiology, experimental evolutionary biology and community ecology. Our review reveals that the field of multiple driver research is being pulled in complementary directions: the need for reductionist approaches to obtain process‐oriented, mechanistic understanding and a requirement to quantify responses to projected future scenarios of ocean change. We conclude the review with recommendations on how best to align different experimental approaches to contribute fundamental information needed for science‐based policy formulation.     

Policy Language in Restoration Ecology

Relating restoration ecology to policy is one of the aims of the Society for Ecological Restoration and its journal Restoration Ecology. As an interdisciplinary team of researchers in both ecological science and political science, we have struggled with how policy‐relevant language is and could be deployed in restoration ecology. Using language in scientific publications that resonates with overarching policy questions may facilitate linkages between researcher investigations and decision‐makers' concerns on all levels. Climate change is the most important environmental problem of our time and to provide policymakers with new relevant knowledge on this problem is of outmost importance. To determine whether or not policy‐specific language was being included in restoration ecology science, we surveyed the field of restoration ecology from 2008 to 2010, identifying 1,029 articles, which we further examined for the inclusion of climate change as a key element of the research. We found that of the 58 articles with “climate change” or “global warming” in the abstract, only 3 identified specific policies relevant to the research results. We believe that restoration ecologists are failing to include themselves in policy formation and implementation of issues such as climate change within journals focused on restoration ecology. We suggest that more explicit reference to policies and terminology recognizable to policymakers might enhance the impact of restoration ecology on decision‐making processes.     

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.     

Identifying the Science and Technology Dimensions of Emerging Public Policy Issues through Horizon Scanning

Public policy requires public support, which in turn implies a need to enable the public not just to understand policy but also to be engaged in its development. Where complex science and technology issues are involved in policy making, this takes time, so it is important to identify emerging issues of this type and prepare engagement plans. In our horizon scanning exercise, we used a modified Delphi technique [1]. A wide group of people with interests in the science and policy interface (drawn from policy makers, policy adviser, practitioners, the private sector and academics) elicited a long list of emergent policy issues in which science and technology would feature strongly and which would also necessitate public engagement as policies are developed. This was then refined to a short list of top priorities for policy makers. Thirty issues were identified within broad areas of business and technology; energy and environment; government, politics and education; health, healthcare, population and aging; information, communication, infrastructure and transport; and public safety and national security.     

Interpreting evidence: why values can matter as much as science

Despite increasing awareness of the ways in which non-epistemic values play roles in science, many scientists remain reluctant to acknowledge values at stake in their own work. Even when research clearly relates to risk assessment and establishing public policy, contexts in which the presence of values is less likely to be contentious, scientists tend to present such research as merely involving empirical questions about what the evidence is. As a result, debates over policy-related science tend to be framed as purely epistemic debates over the state of the evidence. We argue that this neglects the important ways that ethical and social values play legitimate roles in judgments about what we take to be evidence for a particular policy. Using the case of recent disputes about the relative safety of home birth, we argue that although the debate has been framed as a purely scientific one about the empirical evidence for home birth, it actually involves disagreements about underlying value assumptions. If our claims are correct, then in order to move the debate forward, scientists will need to engage in a critical discussion about the values at stake.     

Emerging genomic technologies and the concept of personalized medicine: An overview of ethical,legal and social implications

With the completion of the Human Genome Project in May 2006, genetic testing for every American is rapidly becoming a reality. As the advanced technology fuels the path towards personalized medicine, genetic nondiscrimination legislation follows closely behind. It seems that the 2007 Genetic Information Nondiscrimination Act (GINA) will finally pass through both chambers of Congress and will be signed by the President, but questions remain. On May 1, 2008, the House passed GINA by a vote of 414 to 1. Why is this the year that genetic nondiscrimination legislation could finally become the reality? Is this the beginning of a new relationship between science and policy, where policy is finally catching up? We examine the answers to these questions through a look at the history of genetic nondiscrimination legislation and where it stands today, including arguments for and against the bill. We conclude by discussing how we can achieve a future of safe personalized medicine for the populous, which would require continuous productive interactions between policymakers and scientists.     

Science,Politics and Policy: How Michiganders think about the Risks Facing the Great Lakes

The Great Lakes region is an important ecological asset for the United States, yet studies show that several environmental risks threaten its viability. As a result, it is important to respond to these risks with effective policies. When and how policy is implemented often depends on public opinion and perceptions; yet, we understand little about how individuals from the Great Lakes region construct opinions about the threats facing the lakes. We seek to understand how individuals from the state of Michigan form opinions on three risks to the lakes: invasive Asian carp, climate change, and offshore drilling. To do this, we evaluate the utility of two dominant models of environmental opinion formation: trust and deference to scientific authority, and partisan bias and motivated reasoning. We find that when issues have been politicized, opinion is greatly influenced by political factors like partisanship but that trust and deference as well as underlying environmental attitudes play a more important role for issues that have not been politicized. We discuss the implications of these findings in terms of policy and communication in Michigan, arguing that if we want Michiganders to support policy consistent with science, they must view risk in ways that are consistent with scientific consensus. For that to happen, advocates and policy makers must focus on reducing the political rhetoric around these threats, developing communication that taps into underlying trust and deference to science, and using underlying attitudes about the role of government in environmental protection to promote environmental policy.     

Size constraints and the evolution of display complexity: why do large lizards have simple displays?

Social, environmental, and perceptual factors have been suggested to account for the evolution of visual signal diversity in lizards. Previous investigations have inferred that signal complexity may also be related to body size. In this study, we use three complementary comparative analyses to investigate whether body size has influenced macro-evolutionary trends in display modifier repertoire size for 110 species of iguanian lizards. We found evidence that signal complexity, as measured by repertoire size, is negatively associated with body size. However, this relationship was not strictly linear. Rather, body size seems to impose a threshold on signal evolution. Specifically, the evolution of large repertoire size appears to be less likely above a particular size threshold, which results in large-bodied lizards having a significantly lower probability of evolving elaborate displays. This relationship may reflect the influence of body size on resource use and the emergent social dynamics it promotes. Large lizards tend to be herbivorous and typically do not defend foraging patches. Consistent with this hypothesis is the previously reported finding of a similar size threshold dividing herbivorous from insectivorous lizards. We suggest to fully understand the evolutionary processes acting on communicative systems, it is important that we identify both the selective forces involved and the nature of their influence. © 2002 The Linnean Society of London, Biological Journal of the Linnean Society , 2002, 76 , 145–161.     

Developing a simplified consent form for biobanking

Background

Consent forms have lengthened over time and become harder for participants to understand. We sought to demonstrate the feasibility of creating a simplified consent form for biobanking that comprises the minimum information necessary to meet ethical and regulatory requirements. We then gathered preliminary data concerning its content from hypothetical biobank participants.

Methodology/Principal Findings

We followed basic principles of plain-language writing and incorporated into a 2-page form (not including the signature page) those elements of information required by federal regulations and recommended by best practice guidelines for biobanking. We then recruited diabetes patients from community-based practices and randomized half (n = 56) to read the 2-page form, first on paper and then a second time on a tablet computer. Participants were encouraged to use “More information” buttons on the electronic version whenever they had questions or desired further information. These buttons led to a series of “Frequently Asked Questions” (FAQs) that contained additional detailed information. Participants were asked to identify specific sentences in the FAQs they thought would be important if they were considering taking part in a biorepository. On average, participants identified 7 FAQ sentences as important (mean 6.6, SD 14.7, range: 0–71). No one sentence was highlighted by a majority of participants; further, 34 (60.7%) participants did not highlight any FAQ sentences.

Conclusions

Our preliminary findings suggest that our 2-page form contains the information that most prospective participants identify as important. Combining simplified forms with supplemental material for those participants who desire more information could help minimize consent form length and complexity, allowing the most substantively material information to be better highlighted and enabling potential participants to read the form and ask questions more effectively.     

The doctor and the "delta factor": Walker Percy and the dilemma of modern medicine

As medical science progresses, a tension has developed between the art of medicine, which deals with patients as individual persons, and the science itself, which focuses on the objective pathology.This tension is furthered as medicine identifies itself increasingly with science. To explore the consequences of this unbalanced identification, and the strain it places on the physician-patient relationship, this article examines the thought of Walker Percy, and in particular his novel The Second Coming. In this novel, Percy, a physician by training, presents a case of a patient suffering at the hands of medicine-turned-reductionist. The novel highlights the breakdown of communication between physician and patient within modern medicine, and raises important questions about how to best understand, and thereby preserve, medicine's true art.     

Still More “Fancy” and “Myth” than “Fact” in Students’ Conceptions of Evolution

College students do not come to biological sciences classes, including biological anthropology, as “blank slates.” Rather, these students have complex and strongly held scientific misconceptions that often interfere with their ability to understand accurate explanations that are presented in class. Research indicates that a scientific misconception cannot be corrected by simply presenting accurate information; the misconception must be made explicit, and the student must decide for him or herself that it is inaccurate. The first step in helping to facilitate such conceptual change among college students is to understand the nature of the scientific misconceptions. We surveyed 547 undergraduate students at the University of Missouri-Columbia on their understanding of the nature and language of science, the mechanisms of evolution, and their support for both Lamarckian inheritance and teleological evolution. We found few significant sex differences among the respondents and identified some common themes in the students’ misconceptions. Our survey results show that student understanding of evolutionary processes is limited, even among students who accept the validity of biological evolution. We also found that confidence in one’s knowledge of science is not related to actual understanding. We advise instructors in biological anthropology courses to survey their students in order to identify the class-specific scientific misconceptions, and we urge faculty members to incorporate active learning strategies in their courses in order to facilitate conceptual change among the students.     

A framework for the practical science necessary to restore sustainable,resilient, and biodiverse ecosystems

Demand for restoration of resilient, self‐sustaining, and biodiverse natural ecosystems as a conservation measure is increasing globally; however, restoration efforts frequently fail to meet standards appropriate for this objective. Achieving these standards requires management underpinned by input from diverse scientific disciplines including ecology, biotechnology, engineering, soil science, ecophysiology, and genetics. Despite increasing restoration research activity, a gap between the immediate needs of restoration practitioners and the outputs of restoration science often limits the effectiveness of restoration programs. Regrettably, studies often fail to identify the practical issues most critical for restoration success. We propose that part of this oversight may result from the absence of a considered statement of the necessary practical restoration science questions. Here we develop a comprehensive framework of the research required to bridge this gap and guide effective restoration. We structure questions in five themes: (1) setting targets and planning for success, (2) sourcing biological material, (3) optimizing establishment, (4) facilitating growth and survival, and (5) restoring resilience, sustainability, and landscape integration. This framework will assist restoration practitioners and scientists to identify knowledge gaps and develop strategic research focused on applied outcomes. The breadth of questions highlights the importance of cross‐discipline collaboration among restoration scientists, and while the program is broad, successful restoration projects have typically invested in many or most of these themes. Achieving restoration ecology's goal of averting biodiversity losses is a vast challenge: investment in appropriate science is urgently needed for ecological restoration to fulfill its potential and meet demand as a conservation tool.     

Connecting ecology to daily life: how students and teachers relate food webs to the food they eat

This study used sociocultural learning theory to better understand how middle and high school environmental science and biology students and pre- and in-service science teachers connect the daily life activity of eating to the food web model learned in school. We sought to understand how student and teacher perceptions of the environment and their experiences influenced their responses to interview questions regarding this topic. Findings, based on transcribed interviews with 54 study participants, indicate that three quarters of teachers and students were unable to connect the food they eat with ecosystem food webs. Even so, many respondents particularly those from elite public schools, did not demonstrate common food web misconceptions identified by other researchers, instead showing a sophisticated understanding of food web interactions. These findings indicate that even though participants were proficient in their school science understanding of food web interactions, they did not readily think about how their everyday out of school activities, like eating, relate to those interactions. This may be representative of a more general disconnect between formal ecology instruction and daily life activities. We provide several recommendations for how this disconnect can be remedied in our classrooms.     

Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models

Ecosystem processes are important determinants of the biogeochemistry of the ocean, and they can be profoundly affected by changes in climate. Ocean models currently express ecosystem processes through empirically derived parameterizations that tightly link key geochemical tracers to ocean physics. The explicit inclusion of ecosystem processes in models will permit ecological changes to be taken into account, and will allow us to address several important questions, including the causes of observed glacial–interglacial changes in atmospheric trace gases and aerosols, and how the oceanic uptake of CO₂ is likely to change in the future. There is an urgent need to assess our mechanistic understanding of the environmental factors that exert control over marine ecosystems, and to represent their natural complexity based on theoretical understanding. We present a prototype design for a Dynamic Green Ocean Model (DGOM) based on the identification of (a) key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean; (b) key processes controlling the growth and mortality of these functional types and hence their interactions; and (c) sources of information necessary to parameterize each of these processes within a modeling framework. We also develop a strategy for model evaluation, based on simulation of both past and present mean state and variability, and identify potential sources of validation data for each. Finally, we present a DGOM-based strategy for addressing key questions in ocean biogeochemistry. This paper thus presents ongoing work in ocean biogeochemical modeling, which, it is hoped will motivate international collaborations to improve our understanding of the role of the ocean in the climate system.     

Forecasting the limits of resilience: integrating empirical research with theory

Despite the increasing evidence of drastic and profound changes in many ecosystems, often referred to as regime shifts, we have little ability to understand the processes that provide insurance against such change (resilience). Modelling studies have suggested that increased variance may foreshadow a regime shift, but this requires long-term data and knowledge of the functional links between key processes. Field-based research and ground-truthing is an essential part of the heuristic that marries theoretical and empirical research, but experimental studies of resilience are lagging behind theory, management and policy requirements. Empirically, ecological resilience must be understood in terms of community dynamics and the potential for small shifts in environmental forcing to break the feedbacks that support resilience. Here, we integrate recent theory and empirical data to identify ways we might define and understand potential thresholds in the resilience of nature, and thus the potential for regime shifts, by focusing on the roles of strong and weak interactions, linkages in meta-communities, and positive feedbacks between these and environmental drivers. The challenge to theoretical and field ecologists is to make the shift from hindsight to a more predictive science that is able to assist in the implementation of ecosystem-based management.     

Non-native species in urban environments: patterns,processes, impacts and challenges

Although urban ecosystems are hotspots for biological invasions, the field of invasion science has given scant attention to invasion dynamics and the challenges facing managers in towns and cities. This paper provides an introduction to the growing challenges of understanding and managing invasive species in urban systems, and the context for a special issue of Biological Invasions, comprising 17 papers, that arose from a workshop on “Non-native species in urban environments: patterns, processes, impacts and challenges” held in Stellenbosch, South Africa, in November 2016. Contributions explore the following key questions: Are patterns and processes of urban invasions different from invasions in other contexts? Why is it important to manage non-native species in urban ecosystems? What are the special management needs in an urban context? How can we bridge the gaps between science, management, and policy with regards to biological invasions in urban ecosystems? The papers in this special issue show that patterns and processes of urban invasions differ in many ways from invasions in other contexts, and that managing invasive species in cities poses unique and increasingly complex challenges. Progress in urban invasion science requires further work to: (1) address key limitations that hinder our understanding of invasion dynamics in cities; (2) clarify whether fundamental concepts in the field of invasion science are appropriate for urban ecosystems; (3) integrate insights from invasion science with those from the burgeoning literature on the “Anthropocene biosphere”, novel ecosystems, social–ecological systems, human–wildlife conflicts, urban green infrastructure, urban planning and design, and ecosystem services/disservices.     

Some use—Little influence? On the roles of indicators in European sustainable transport policy

The paper focuses on the use and influence of indicators in European sustainable transport policy from a ‘knowledge utilization’ research point of view. The starting point is the contrast between the widely held idea that indicators are important tools for sustainable transport policy making, versus ‘knowledge utilization’ oriented research, which has often demonstrated that formal technical knowledge is used much less, or at least differently, than expected in policy and decision making.The paper looks at two cases of indicators applied for strategic policy making within the sustainable transport agenda. The first case concerns indicators tracking the fulfillment of national transport policy objectives in Sweden. The case explores the use and influence of an annual monitoring and evaluation report produced for this purpose, within a general ‘Management-by-Objectives’ regime. The second case deals with indicators applied for the Mid-Term Review of the European Commission's transport policy White Paper ‘Time to Decide’ (issued in 2001). The focus in this case is on a particular indicator based study conducted in 2005 by a group of consultants in close collaboration with European Commission staff.It is found that several indicators in both cases are actually used in policy processes, with evidence of use found in documents as well as interviews. However, ‘use’ does not automatically mean ‘influence’ on policies or processes in more than a superficial manner. Indicators seem to play a very limited direct instrumental role, while some signs of symbolic, conceptual and process roles are found. In the EU case we identify what is called a rationalization role of indicators, meaning that indicators inform and help to rationalize a change in the position towards key objectives. Several factors that characterize the indicators, the users, and policy context are found to contribute to understand the type of use and influence observed in both cases.     

Voting Intention and Choices: Are Voters Always Rational and Deliberative?

Human rationality–the ability to behave in order to maximize the achievement of their presumed goals (i.e., their optimal choices)–is the foundation for democracy. Research evidence has suggested that voters may not make decisions after exhaustively processing relevant information; instead, our decision-making capacity may be restricted by our own biases and the environment. In this paper, we investigate the extent to which humans in a democratic society can be rational when making decisions in a serious, complex situation–voting in a local political election. We believe examining human rationality in a political election is important, because a well-functioning democracy rests largely upon the rational choices of individual voters. Previous research has shown that explicit political attitudes predict voting intention and choices (i.e., actual votes) in democratic societies, indicating that people are able to reason comprehensively when making voting decisions. Other work, though, has demonstrated that the attitudes of which we may not be aware, such as our implicit (e.g., subconscious) preferences, can predict voting choices, which may question the well-functioning democracy. In this study, we systematically examined predictors on voting intention and choices in the 2014 mayoral election in Taipei, Taiwan. Results indicate that explicit political party preferences had the largest impact on voting intention and choices. Moreover, implicit political party preferences interacted with explicit political party preferences in accounting for voting intention, and in turn predicted voting choices. Ethnic identity and perceived voting intention of significant others were found to predict voting choices, but not voting intention. In sum, to the comfort of democracy, voters appeared to engage mainly explicit, controlled processes in making their decisions; but findings on ethnic identity and perceived voting intention of significant others may suggest otherwise.