Knowledge exchange and policy influence in a marine resource governance network

Few case studies have considered the impact of network structure on the resilience of complex resource management systems that operate over large spatial scales. To help fill this knowledge gap our study examined two types of relational ties—knowledge exchange and policy influence—within a marine wildlife co-management network in Northern Australia. We conducted interviews and follow-up surveys with key-informant stakeholders in dugong and marine turtle management and used these data to perform social network analysis for the dugong and turtle co-management network. The network structure of this marine governance system supports extensive cross-scale information flow, but with a disproportionate amount of top-down policy influence compared with knowledge accumulation, an arrangement that may hinder evidence-based decision making. We developed a typological ‘map’ of stakeholder roles in the network to characterize each stakeholder's contribution of knowledge and ability to influence policy, helping to identify gaps or overlaps in network linkages. Improving communication links between knowledge producers and policy makers is important for evidence based decision making throughout the management network, while addressing overlapping management roles and functions should help decrease conflict in the system. These improvements would increase social-ecological resilience in the management network by providing better protection for marine species while meeting the needs of diverse stakeholders.     

A scale-based framework to understand the promises,pitfalls and paradoxes of irrigation efficiency to meet major water challenges

An effective placement of irrigation efficiency in water management will contribute towards meeting the pre-eminent global water challenges of our time such as addressing water scarcity, boosting crop water productivity and reconciling competing water needs between sectors. However, although irrigation efficiency may appear to be a simple measure of performance and imply dramatic positive benefits, it is not straightforward to understand, measure or apply. For example, hydrological understanding that irrigation losses recycle back to surface and groundwater in river basins attempts to account for scale, but this generalisation cannot be readily translated from one location to another or be considered neutral for farmers sharing local irrigation networks. Because irrigation efficiency (IE) motives, measures, effects and technologies play out at different scales for different people, organisations and purposes, and losses differ from place to place and over time, IE is a contested term, highly changeable and subjective. This makes generalisations for science, management and policy difficult. Accordingly, we propose new definitions for IE and irrigation hydrology and introduce a framework, termed an ‘irrigation efficiency matrix’, comprising five spatial scales and ten dimensions to understand and critique the promises, pitfalls and paradoxes of IE and to unlock its utility for addressing contemporary water challenges.     

Governing epidemics in an age of complexity: Narratives,politics and pathways to sustainability

This paper elaborates a ‘pathways approach’ to addressing the governance challenges posed by the dynamics of complex, coupled, multi-scale systems, while incorporating explicit concern for equity, social justice and the wellbeing of poor and marginalised groups. It illustrates the approach in relation to current policy challenges of dealing with epidemics and so-called ‘emerging infectious diseases’ such as avian influenza and haemorrhagic fevers, which involve highly dynamic, cross-scale, often-surprising viral–social–political–ecological interactions. Amidst complexity, we show how different actors in the epidemics field produce particular narratives which frame systems and their dynamics in different ways, promote particular goals and values, and justify particular pathways of disease response. These range from ‘outbreak narratives’ emphasising threat to global populations, to alternative but often marginalised narratives variously emphasising long-term structural, land use and environmental change, local knowledge and livelihood goals. We highlight tendencies – supported by cognitive, institutional and political pressures – for powerful actors and institutions to ‘close down’ around narratives that emphasise stability, underplaying longer term, less controllable dynamics. Arguing that governance approaches need to ‘open up’ to embrace strategies for resilience and robustness in relation to epidemics, we outline what some of the routes towards this might involve, and what the resulting governance models might look like. Key are practices and arrangements that involve flexibility, diversity, adaptation, learning and reflexivity, as well as highlighting and supporting alternative pathways within a progressive politics of sustainability.     

Dependable dynamism: lessons for designing scientific assessment processes in consensus negotiations

Negotiations that involve the use and interpretation of scientific information and assessment are often particularly difficult, especially when the scientific input is uncertain or contested. Parties can exploit this uncertainty in order to stall progress, where they might prefer a very different policy outcome. In addition, scientific input often changes as new research is done and disseminated. In order to facilitate decision-making where science is involved, a number of international environmental agreements have established regimes, as well as assessment processes, that are designed to incorporate new information, review decisions, and modify judgments—that is, they are dynamic or adaptable. However, there is little systematic evaluation by policymakers or academic analysts of the type and qualities of such dynamism that might contribute to effective assessment and regulatory processes, or of whether this lesson is truly applicable across very different environmental issues. Examination of the recent protocol on persistent organic pollutants to the Convention on Long-Range Transboundary Air Pollution (LRTAP), in comparison to LRTAPs two previous protocols on sulfur emissions, offers a way to compare across different types of issues whether and how “adaptable” assessment processes influence consensus negotiations. The results of this comparison indicate that a type of adaptability likely to facilitate decision-making is “dependable dynamism”—the quality of assessment and decision-making processes that allows policymakers with ease to put off particular decisions for addressing in the future, with confidence that issues so put off will indeed be addressed later. The ability to modify such conclusions at a later time facilitates decision-making processes by offering a new dimension of compromise on both scientific assessment and policy decisions, and lowering the threshold of credibility necessary for decision-making.     

Scale sensitivity of drivers of environmental change across Europe

The development of effective environmental management plans and policies requires a sound understanding of the driving forces involved in shaping and altering the structure and function of ecosystems. However, driving forces, especially anthropogenic ones, are defined and operate at multiple administrative levels, which do not always match ecological scales. This paper presents an innovative methodology of analysing drivers of change by developing a typology of scale sensitivity of drivers that classifies and describes the way they operate across multiple administrative levels. Scale sensitivity varies considerably among drivers, which can be classified into five broad categories depending on the response of ‘evenness’ and ‘intensity change’ when moving across administrative levels. Indirect drivers tend to show low scale sensitivity, whereas direct drivers show high scale sensitivity, as they operate in a non-linear way across the administrative scale. Thus policies addressing direct drivers of change, in particular, need to take scale into consideration during their formulation. Moreover, such policies must have a strong spatial focus, which can be achieved either by encouraging local–regional policy making or by introducing high flexibility in (inter)national policies to accommodate increased differentiation at lower administrative levels. High quality data is available for several drivers, however, the availability of consistent data at all levels for non-anthropogenic drivers is a major constraint to mapping and assessing their scale sensitivity. This lack of data may hinder effective policy making for environmental management, since it restricts the ability to fully account for scale sensitivity of natural drivers in policy design.     

Global social and environmental change drives the management and delivery of ecosystem services from urban gardens: A case study from Central Coast,California

Urban community gardens are vital green spaces threatened by global social and environmental change factors. Population growth has reduced the amount of space available in cities, and climate change challenges plant growth thresholds. Urban community gardens provide dynamic socio-ecological systems to study how such social and environmental change factors affect the management and delivery of ecosystem services. They provide spaces where urban citizens purposefully interact with nature and receive multiple benefits. In this paper, we synthesize the results of three years of research in a case study of urban community gardens across the Central Coast of California and present a framework showing how both social and environmental change factors at the regional scale affect the ecological make-up of urban community gardens, which in turn affect the ecosystem services coming from such systems. Our study reveals that global environmental change felt at the regional level (e.g., increased built environment, climate change) interact with social change and policy (e.g., population growth, urbanization, water use policy), thus affecting regulations over garden resources (e.g., water availability) and management decisions by gardeners (e.g., soil management, crop planting decisions). These management decisions at the plot-scale, determine the ecological complexity and quality of the gardens and affect the resulting ecosystem services that come from these systems, such as food provision for both humans and urban animals. A greater understanding of how environmental and social change factors drive the management processes of urban community gardens is necessary to design policy support systems that encourage the continued use and benefits arising from such green spaces. Policies that can support urban community gardens to maintain ecological complexity and increase biodiversity through active management of soil quality and plant diversity have the potential to increase social and environmental outcomes that feedback to the larger environmental and social system.     

The whole systems energy injustice of four European low-carbon transitions

The need for multi-scalar analysis of energy and low-carbon systems is becoming more apparent as a way to assess the holistic socioeconomic and environmental impacts of energy transitions across a variety of scales and lifecycle stages. This paper conducts a whole systems energy justice analysis of four European low-carbon transitions—nuclear power in France, smart meters in Great Britain, electric vehicles in Norway, and solar photovoltaic panels in Germany. It asks: in what ways may each of these transitions result in injustices that extend beyond communities and countries, i.e., across the whole system? It utilizes a mixed-methods research design based on 64 semi-structured research interviews with experts across all four transitions, five public focus groups, and the collection of 58 comments from twelve public internet forums to answer this question. Drawing inductively from these data, the paper identifies and analyzes 44 injustices spread across three spatial scales. Micro scale injustices concern immediate local impacts on family livelihood, community health and the environment. Meso scale injustices include national-scale issues such as rising prices for electricity and gas or unequal access to low-carbon technology. Macro scale injustices include global issues such as the extraction of minerals and metals and the circulation of waste flows. The paper then discusses these collective injustices in terms of their spatiality and temporality, before offering conclusions for energy and climate research and policy.     

Bio-cultural refugia—Safeguarding diversity of practices for food security and biodiversity

Food security for a growing world population is high on the list of grand sustainability challenges, as is reducing the pace of biodiversity loss in landscapes of food production. Here we shed new insights on areas that harbor place specific social memories related to food security and stewardship of biodiversity. We call them bio-cultural refugia. Our goals are to illuminate how bio-cultural refugia store, revive and transmit memory of agricultural biodiversity and ecosystem services, and how such social memories are carried forward between people and across cohorts. We discuss the functions of such refugia for addressing the twin goals of food security and biodiversity conservation in landscapes of food production. The methodological approach is first of its kind in combining the discourses on food security, social memory and biodiversity management. We find that the rich biodiversity of many regionally distinct cultural landscapes has been maintained through a mosaic of management practices that have co-evolved in relation to local environmental fluctuations, and that such practices are carried forward by both biophysical and social features in bio-cultural refugia including; genotypes, artifacts, written accounts, as well as embodied rituals, art, oral traditions and self-organized systems of rules. Combined these structure a diverse portfolio of practices that result in genetic reservoirs—source areas—for the wide array of species, which in interplay produce vital ecosystem services, needed for future food security related to environmental uncertainties, volatile financial markets and large scale conflicts. In Europe, processes related to the large-scale industrialization of agriculture threaten such bio-cultural refugia. The paper highlights that the dual goals to reduce pressures from modern agriculture on biodiversity, while maintaining food security, entails more extensive collaboration with farmers oriented toward ecologically sound practices.     

Multiple scales and regulatory gaps in environmental change: the case of salmon aquaculture

The significance of multiple scales within processes of global environmental change has attracted increasing attention. Yet the fundamental tasks of linking multiple levels at which regulatory decisions are required to multiple scales of impacts have only recently been identified. This paper addresses the importance of attention to multiple scales in regulatory decisions, how those decisions should link together across scales of governance or decision-making, and how mismatches among scales of impact and scales of regulation can lead to regulatory gaps and breakdowns. This paper begins by presenting a definition of a cross-scale regulatory problem, building on the concept of an externality. It argues that virtually all-significant environmental regulatory problems involve multiple scales at which decisions are required, and that coordination of these decisions is one of the major issues in regulatory design. The paper provides a generalization of what is needed for effective cross-scale regulation, and then discusses the example of salmon aquaculture in British Columbia to illustrate these points. In our view, gaps and mismatches in the regulatory framework across institutional scales appear to contribute to social controversy over salmon aquaculture. These gaps include (i) the site-by-site orientation of the current regulatory process, even though the major impacts are cumulative, and regional in significance, and (ii) the degree to which limitations on the extent of salmon aquaculture are implemented by local governments, even though provincial and federal governments have the mandate and expertise to address these questions.     

Learning about ozone depletion

Stratospheric ozone depletion has been much studied as a case history in the interaction between environmental science and environmental policy. The positive influence of science on policy is often underscored, but here we review the photochemistry of ozone in order to illustrate how scientific learning has the potential to mislead policy makers. The latter may occur particularly in circumstances where limited observations are combined with simplified models of a complex system, such as may generally occur in the global change arena. Even for the well-studied case of ozone depletion, further research is needed on the dynamics of scientific learning, particularly the scientific assessment process, and how assessments influence the development of public policy.     

Overcoming cross-scale challenges to climate change adaptation for local government: a focus on Australia

This paper aims to identify key cross-scale challenges to planned adaptation within the context of local government in Australia, and suggest enabling actions to overcome such challenges. Many of the impacts of climate change and variability have or will be experienced at the local level. Local governments are embedded in a larger governance context that has the potential to limit the effectiveness of planned adaptation initiatives on the ground. This study argues that research on constraints and barriers to adaptation must place greater attention to understanding the broader multi-governance system and cross-scale constraints that shape adaptation at the local government scale. The study identified seven key enabling actions for overcoming cross-scale challenges faced by local governments in Australia when undertaking climate change adaptation planning and implementation. A central conclusion of this study is that a cooperative and collaborative approach is needed where joint recognition of the scale of the issue and its inherent cross-scale complexities are realised. Many of the barriers or constraints to adaptation planning are interlinked, requiring a whole government approach to adaptation planning. The research suggests a stronger role at the state and national level is required for adaptation to be facilitated and supported at the local level.     

Modelling food security: Bridging the gap between the micro and the macro scale

Achieving food and nutrition security for all in a changing and globalized world remains a critical challenge of utmost importance. The development of solutions benefits from insights derived from modelling and simulating the complex interactions of the agri-food system, which range from global to household scales and transcend disciplinary boundaries. A wide range of models based on various methodologies (from food trade equilibrium to agent-based) seek to integrate direct and indirect drivers of change in land use, environment and socio-economic conditions at different scales. However, modelling such interaction poses fundamental challenges, especially for representing non-linear dynamics and adaptive behaviours.We identify key pieces of the fragmented landscape of food security modelling, and organize achievements and gaps into different contextual domains of food security (production, trade, and consumption) at different spatial scales. Building on in-depth reflection on three core issues of food security – volatility, technology, and transformation – we identify methodological challenges and promising strategies for advancement.We emphasize particular requirements related to the multifaceted and multiscale nature of food security. They include the explicit representation of transient dynamics to allow for path dependency and irreversible consequences, and of household heterogeneity to incorporate inequality issues. To illustrate ways forward we provide good practice examples using meta-modelling techniques, non-equilibrium approaches and behavioural-based modelling endeavours. We argue that further integration of different model types is required to better account for both multi-level agency and cross-scale feedbacks within the food system.     

Mapping global land system archetypes

Land use is a key driver of global environmental change. Unless major shifts in consumptive behaviours occur, land-based production will have to increase drastically to meet future demands for food and other commodities. One approach to better understand the drivers and impacts of agricultural intensification is the identification of global, archetypical patterns of land systems. Current approaches focus on broad-scale representations of dominant land cover with limited consideration of land-use intensity. In this study, we derived a new global representation of land systems based on more than 30 high-resolution datasets on land-use intensity, environmental conditions and socioeconomic indicators. Using a self-organizing map algorithm, we identified and mapped twelve archetypes of land systems for the year 2005. Our analysis reveals similarities in land systems across the globe but the diverse pattern at sub-national scales implies that there are no ‘one-size-fits-all’ solutions to sustainable land management. Our results help to identify generic patterns of land pressures and environmental threats and provide means to target regionalized strategies to cope with the challenges of global change. Mapping global archetypes of land systems represents a first step towards better understanding the global patterns of human–environment interactions and the environmental and social outcomes of land system dynamics.     

The economics of climate change impacts and policy benefits at city scale: a conceptual framework

Cities are particularly vulnerable to climate change and climate extremes in part because they concentrate many activities, people and wealth in limited areas. As a result they represent an important scale for assessment and understanding of climate change impacts. This paper provides a conceptual and methodological framework for urban economic impact assessment of climate change. The focus of the paper is on model-based analysis of future scenarios, including a framing of uncertainty for these projections, as one valuable input into the decision-making process. The paper highlights the main assessment difficulties, methods and tools, and selected examples across these areas. A number of challenges are unique to climate change impact assessment and others are unique to the problem of working at local scales. The paper also identifies the need for additional research, including the need for more integrated and systemic approaches to address climate change as a part of the urban development challenge as well as the need to assess the economic impacts of climate change and response policy at local scale.     

Nitrogen pollution: a key building block for addressing climate change

The current national commitments under the Paris Climate Agreement fall short of what is needed to stay below a 2 °C increase in global average temperature. One approach that has been proposed to close this ambition gap is the building blocks strategy, which aims to encourage initiatives focused on non-climate actions that can deliver a climate benefit. A key option under this framework is reducing global nitrogen pollution. Nitrogen pollution—driven largely by the inefficient use of synthetic fertilizer and manure—is one of the most important environmental issues of the twenty-first century, not least because of its climate impacts. Ambitiously mitigating nitrogen pollution could avoid greenhouse gas emissions equivalent to 5–10% of the remaining allowable emissions consistent with the 2 °C target. However, the climate benefits would be a minor component of the overall environmental benefits of reducing nitrogen pollution, which would come mainly from avoided water and air pollution. The fact that these benefits would accrue mostly at local scales is especially important for countries like the United States, marked by a shift toward “economic nationalism.” In these countries, the most politically viable climate actions will likely be ones that produce local benefits as great, if not greater, than those achieved internationally. This is also likely to be true in countries like China, where local nitrogen-related issues such as air and water pollution remain major national priorities. Nevertheless, there are several challenges that could stand in the way of improved nitrogen management being a successful building block: integrated nitrogen management solutions that reduce the risk of pollution swapping need to be developed, the policy challenges related to changing and monitoring farmer behavior need to be addressed, and nitrogen’s role as an essential agricultural input needs to be respected. A better understanding of these challenges could also help policy-makers develop viable climate mitigation strategies across the entire agricultural sector.     

Mediating science and action across multiple boundaries in the Coral Triangle

This study seeks to refine literature on boundary work by exploring how stakeholders in the Coral Triangle Initiative, an international agreement between six countries in Southeast Asia and the Pacific, are forging relations across various domains and governance levels, and the outcomes of this process. We do this in an effort to increase its relevance to multi-level environmental governance, and understand the challenges that face such governance. We are also interested in the pathways leading to policy outcomes that are perceived as salient, credible, and legitimate to all stakeholders involved in governance. The study shows that boundary work is challenged by resource inequalities resulting in limited knowledge diversity, blurred boundaries between science and politics, and misaligned scales. We conclude that boundary work has an important temporal dimension that has often been neglected, and that literature on boundary work must provide a conceptual guide to understand tradeoffs arising as a result of stakeholders’ various strategies to engage in boundary work.     

Collective action for changing forests: A spatial,social-ecological approach to assessing participation in invasive plant management

Environmental governance research has discovered much about what drives collective action to address human-environment issues, including factors such as risk perceptions and self-efficacy. Yet the design of many studies limits our ability to draw conclusions about collective action under conditions of environmental change, especially across spatial or temporal scales. In this study, we integrate social and biophysical data—assessing data over time and examining the influence of space—to analyze efforts by community members to manage rapid environmental change in the form of an invasive plant (Mikania micrantha) in community forests in Chitwan, Nepal. Invasive species are an increasingly complex ethical, cultural, and ecological issue that is becoming more pressing with global environmental and social changes. We combine household surveys, ecological surveys, and spatial data in Bayesian hierarchical linear models to explore changes in the drivers of collective action since initial household surveys in 2014. We find that risk perceptions, reliance on forest resources, perceptions of forest safety, and M. micrantha abundance were the most influential factors in our models. Additionally, our findings suggest that the influence of M. micrantha abundance on collective action varies across spatial scales, indicating important interactions between social and biophysical drivers of collective action. Ultimately, our results highlight the importance of considering social and biophysical factors across space and time to inform the design of institutions that will be effective in addressing collection action problems tied to environmental change.     

Time series data for Canadian arctic vertebrates: IPY contributions to science, management, and policy

Long-term data are critically important to science, management, and policy formation. Here we describe a number of data collections from arctic Canada that monitor vertebrate population trends of freshwater and marine fish, marine birds, marine and terrestrial mammals. These time series data cover the last ca. 30?years and capture a period from the onset of global changes affecting the Arctic up to recent years with a rapid increase in temperature. While many of these data collections were initiated through a variety of government and university programs, they also include a surge in polar research launched with the recent International Polar Year (2007?C2008). We estimated the long-term vertebrate index from our data that summarizes various taxa abundance trends within a global context and observed a continuous decline of about 30?% in population abundance since the 1990s. Though most data collections are biased towards few taxa, we conduct time-series analyses to show that the potential value of long-term data emerges as individual monitoring sites can be spread across space and time scales. Despite covering a handful of populations, the different time series data covered a large spectrum of dynamics, cyclic to non-cyclic, including coherence with the North Atlantic Oscillation, lag effects, and density dependence. We describe a synthesis framework to integrate ecological time-series research and thereby derive additional benefits to management, science, and policy. Future requirements include: (1) continuation of current observation systems; (2) expansion of current monitoring sites to include additional trophic links and taxonomic indicators; (3) expansion beyond the existing program to include greater spatial coverage into less-sampled ecosystems and key representative locations; and (4) integration of circumpolar observations and comprehensive analyses. Development of a circumpolar observation system is necessary for innovative science, large-scale adaptive management, and policy revision essential to respond to rapid global change.