An integrative assessment of water vulnerability in First Nation communities in Southern Ontario,Canada

Assessing vulnerability related to water is a global concern and especially important to populations experiencing multiple exposures and sensitivities. Approaches are required that span social and physical concerns, and that bridge multiple types and forms of knowledge. This research investigates the water vulnerability of three First Nation communities in Ontario, Canada. A collaborative process was used to build an integrative understanding of water vulnerability, develop an associated instrument, and undertake the community scale assessments. Results from the assessment provided communities with a comprehensive overview of water vulnerability, and pointed to gaps in knowledge and specific areas where attention was needed. Conducting assessments at a community scale following the methodology employed in this research responds to the need for integration and context sensitivity when engaging in water vulnerability assessments and introduces innovations to existing assessment tools. A holistic approach to water vulnerability assessment provided decision-makers with the context-specific details and empirical insights they require to prioritize issues and allocate resources.     

Data and processes linking vulnerability assessment to adaptation decision-making on climate change in Norway

The article focuses on the use of climate change vulnerability assessments in a local decision-making context, with particular reference to recent studies in Norway. We focus on two aspects of vulnerability assessments that we see as key to local decision-making: first, the information generated through the assessments themselves, and second, the institutional linkages to local level decision-making processes. Different research approaches generate different types of data. This is rarely made explicit, yet it has important implications for decision-making. In addressing these challenges we propose a dialectic approach based on exchange, rather than integration of data from different approaches. The focus is on process over product, and on the need for anchoring vulnerability assessments in local decision-making processes. In conclusion, we argue that there is unlikely to be one single ‘correct’ assessment tool or indicator model to make vulnerability assessments matter at a local level.     

Big science, small impacts—in the South? The influence of global environmental assessments on expert communities in India

To help decision-makers cope with the uncertainty of global environmental change, transnational networks of experts have offered numerous assessments of the state of knowledge, often advertised as consensus of “international science”. Substantial social science research has already analysed the effects of such global environmental assessments on industrialized countries; this study explores their influence in India as a pivotal developing country. It appears that although global environmental assessments did not remain without any influence in India, their effect is still small. These limitations could be addressed, it is argued, by increasing the usefulness and legitimacy of global environmental assessments in the South through stronger consideration of the socio-economic context of developing countries and other Southern concerns and interests, by raising the participation of Southern experts, by enhancing research capacities in and communication links to the South, and by ensuring that global environmental assessments are organized as self-adaptive processes, such as IPCC, and not as one-shot effort, such as the Global Biodiversity Assessment.     

Linking global and local scales: designing dynamic assessment and management processes

This paper identifies challenges inherent in addressing multi-scale environmental problems, and outlines tentative guidelines for addressing such challenges and linking science and policy across scales. The study and practice of environmental assessment and management increasingly recognize the importance of scale and cross-scale dynamics in understanding and addressing global environmental change. These ongoing efforts, however, lack a systematic way of thinking about and addressing the challenges involved in integrating science and policy across multiple scales, for example, in the design of policy-relevant, scientific assessments of problems such as climate change. These challenges include matching scales of biogeophysical systems with scales of management systems, avoiding scale discordance (matching the scale of the assessment with the scale of management), and accounting for cross-scale dynamics. In this paper we propose tentative guidelines for meeting such challenges for both assessors and decision-makers: (1) utilize boundary organizations — institutions which serve to mediate between scientists and decision-makers, and between these actors at different scales; (2) utilize scale-dependent comparative advantages — coordinating the allocation of resources, technical expertise, and decision-making authority to best capitalize on scale-specific capabilities; and (3) employ adaptive assessment and management strategies — constructing long-term, iterative, experiment-based processes of integrated assessment and management.     

Role of renewable energy in climate mitigation: a synthesis of recent scenarios

The role of renewable energy in climate change mitigation is explored through a review of 162 recent medium- to long-term scenarios from 15 large-scale, energy-economic and integrated assessment models. The current state of knowledge from this community is assessed and its implications drawn for the strategic context in which policymakers and other decision-makers might consider renewable energy. The scenario set is distinguished from previous ones in that it contains more detailed information on renewable deployment levels. All the scenarios in this study were published during or after 2006. Within the context of a large-scale assessment, the analysis is guided primarily by four questions. What sorts of future levels of renewable energy deployment are consistent with different CO₂ concentration goals? Which classes of renewable energy will be the most prominent energy producers and how quickly might they expand production? Where might an expansion in renewable energy occur? What is the linkage between the costs of mitigation and an expansion of renewable energy?     

Impacts

Participatory Integrated Assessement (IA) methods complement analytical methods like IA-modeling in their explicit inclusion of stakeholders and decision-makers in the assessment. Integrated Assessment is perceived as a process of social learning involving scientists, stakeholders, policymakers and the society at large. We introduce a new approach to provide expert knowledge for participatory integrated assessments of regional climate change: `Interactive Citizen's Information Tools' (ICITs). ICITs provide citizens with expert knowledge about causes of climate change, potential impacts, and policy options to address anthropogenic climate change. In this paper we discuss the development and application of IMPACTS in IA-focus groups in Switzerland. IMPACTS is based on user-friendly hypermedia technologies and allows citizens to get informed on a broad range of potential climate change impacts – with an emphasison prevailing uncertainties. IA-focus groups are deliberative group discussions that make use of computer tools to support the discussion and assessment. The goal of IA-focus groups is to elicit how informed citizens judge the risks of anthropogenic climate change. Experiences with IMPACTS showed that the combination of focus groups with ICITs is a feasible and promising approach for a participatory IA of regional climate change, in particular, and of complex environmental issues, in general.     

Climate Change Vulnerability Assessments: An Evolution of Conceptual Thinking

Vulnerability is an emerging concept for climate science and policy. Over the past decade, efforts to assess vulnerability to climate change triggered a process of theory development and assessment practice, which is reflected in the reports of the Intergovernmental Panel on Climate Change (IPCC). This paper reviews the historical development of the conceptual ideas underpinning assessments of vulnerability to climate change. We distinguish climate impact assessment, first- and second-generation vulnerability assessment, and adaptation policy assessment. The different generations of assessments are described by means of a conceptual framework that defines key concepts of the assessment and their analytical relationships. The purpose of this conceptual framework is two-fold: first, to present a consistent visual glossary of the main concepts underlying the IPCC approach to vulnerability and its assessment; second, to show the evolution of vulnerability assessments. This evolution is characterized by the progressive inclusion of non-climatic determinants of vulnerability to climate change, including adaptive capacity, and the shift from estimating expected damages to attempting to reduce them. We hope that this paper improves the understanding of the main approaches to climate change vulnerability assessment and their evolution, not only within the climate change community but also among researchers from other scientific communities, who are sometimes puzzled by the unfamiliar use of technical terms in the context of climate change.     

Danger is all around: Eliciting expert perceptions for managing climate change through a mental models approach

It has long been acknowledged that understandings of risk are influenced by external or ‘objective’ assessments, and by internal or ‘subjective’ value judgements. In-depth research has been undertaken on how lay people perceive climate change and related risks, whereas work on expert opinions is more limited. This paper reports on 22 ‘expert’ interpretations elicited through a mental models approach, and encapsulated in a ‘meta’-influence diagram, denoting three conceptualisations of danger in relation to climate change: (i) human influence upon the climate system; (ii) impacts upon natural and human communities; and (iii) threat to the status quo, especially in the form of mitigation measures and related costs. These conceptualisations raise questions about how experts bring to bear their knowledge, values and understanding of climatic and social systems in articulating such discourses. This paper also discusses the implications of such diverse perspectives on managing climate change.     

Evaluating the benefits of national adaptation to reduce climate risks and contribute to the Sustainable Development Goals

Scaling up national climate adaptation under the Paris Agreement is critical not only to reduce risk, but also to contribute to a nation’s development. Traditional adaptation assessments are aimed at evaluating adaptation to cost-effectively reduce risk and do not capture the far-reaching benefits of adaptation in the context of development and the global Sustainable Development Goals (SDGs). By grounding adaptation planning in an SDG vision, we propose and demonstrate a methodological process that for the first time allows national decision-makers to: i) quantify the adaptation that is needed to safeguard SDG target progress, and ii) evaluate strategies of stakeholder-driven adaptation options to meet those needs whilst delivering additional SDG target co-benefits. This methodological process is spatially applied to a national adaptation assessment in Ghana. In the face of the country’s risk from floods and landslides, this analysis identifies which energy and transport assets to prioritise in order to make the greatest contribution to safeguarding development progress. Three strategies (‘built’, ‘nature-based’, ‘combined SDG strategy’) were formulated through a multi-stakeholder partnership involving government, the private sector, and academia as a means to protect Ghana’s prioritised assets against climate risk. Evaluating these adaptation strategies in terms of their ability to deliver on SDG targets, we find that the combined SDG strategy maximises SDG co-benefits across 116 targets. The proposed methodological process for integrating SDG targets in adaptation assessments is transferable to other climate-vulnerable nations, and can provide decision-makers with spatially-explicit evidence for implementing sustainable adaptation in alignment with the global agendas.     

Differentiating theory from evidence in determining confidence in an assessment finding

The Guidance Notes for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties describes a process for consistently evaluating and communicating levels of certainty in findings. The process begins with an assessment of the scientific evidence and agreement supporting a finding, where evidence is defined as including mechanistic understanding, theory, data, models, and expert judgment. The appropriateness of categorizing theory as one line of evidence varies by scientific discipline; for the natural and social sciences, developing theory and collecting data are different steps in the scientific method. Further, decision-makers often find it valuable for scientists to differentiate situations where a theory is generally agreed but for which supporting data are limited, from situations where empirical data lack an explanatory theory. The paper describes the approach used by the International Agency for Research on Cancer (IARC) for assessing the relative robustness of a theory separately from the strength and quality of its supporting evidence, and then developing consensus statements of whether an agent is a human carcinogenic. Although the IARC and IPCC processes are very similar, the IARC process also differs by combining theory, evidence, and agreement as equal partners in a limited set of standardized categories of confidence. Incorporating aspects of the IARC approach into the IPCC guidance could improve the evaluation and communication of theory, evidence, and agreement in future versions of the uncertainty guidance.     

The Effects of Spatial Scale of Climate Scenarios on Economic Assessments: An Example from U.S. Agriculture

The appropriate level of spatial resolution for climate scenarios is a key uncertainty in climate impact studies and regional integrated assessments. To the extent that such uncertainty may affect the magnitude of economic estimates of climate change, it has implications for the public policy debates concerning the efficiency of CO₂ control options. In this article, we investigate the effects that different climate scenario resolutions have on economic estimates of the impacts of future climate changeon agriculture in the United States. These results are derived via a set of procedures and an analytical model that has been used previously in climate change assessments. The results demonstrate that the spatial scale of climate scenarios affects the estimates of both regional changes in crop yields and the economic impact on the agricultural sector as a whole. An assessment based on the finer scale climatological information consistently yielded a less favorable assessment of the implications of climate change. Regional indicators of economic activity were of opposite sign in some regions, based on the scenario scale. Such differences in economic magnitudes or signs are potentially important in examining whether past climate change assessments may misstate the economic consequences of such changes. The results reported here suggest that refinement of the spatial scale of scenarios should be carefully considered in future impacts research.     

Reconceptualising adaptation to climate change as part of pathways of change and response

The need to adapt to climate change is now widely recognised as evidence of its impacts on social and natural systems grows and greenhouse gas emissions continue unabated. Yet efforts to adapt to climate change, as reported in the literature over the last decade and in selected case studies, have not led to substantial rates of implementation of adaptation actions despite substantial investments in adaptation science. Moreover, implemented actions have been mostly incremental and focused on proximate causes; there are far fewer reports of more systemic or transformative actions. We found that the nature and effectiveness of responses was strongly influenced by framing. Recent decision-oriented approaches that aim to overcome this situation are framed within a “pathways” metaphor to emphasise the need for robust decision making within adaptive processes in the face of uncertainty and inter-temporal complexity. However, to date, such “adaptation pathways” approaches have mostly focused on contexts with clearly identified decision-makers and unambiguous goals; as a result, they generally assume prevailing governance regimes are conducive for adaptation and hence constrain responses to proximate causes of vulnerability. In this paper, we explore a broader conceptualisation of “adaptation pathways” that draws on ‘pathways thinking’ in the sustainable development domain to consider the implications of path dependency, interactions between adaptation plans, vested interests and global change, and situations where values, interests, or institutions constrain societal responses to change. This re-conceptualisation of adaptation pathways aims to inform decision makers about integrating incremental actions on proximate causes with the transformative aspects of societal change. Case studies illustrate what this might entail. The paper ends with a call for further exploration of theory, methods and procedures to operationalise this broader conceptualisation of adaptation.     

National assessments of forest fragmentation in the US

Because of the linkages among ecological pattern, function and process, policy makers and land managers have increasingly sought measures of landscape pattern that may be used to quantify and monitor changes in forest cover associated with forest fragmentation at national or multinational scales. In this paper, I provide a brief overview of the processes and initiatives driving interest in national assessments of forest fragmentation (e.g., the Montréal Process) and review the results of recent assessments of landscape pattern (and by proxy, fragmentation) conducted at the US national level. Despite widespread recognition that spatial pattern and continuity of forests is important for biodiversity conservation, many international processes and conventions as well as most national forest assessments still focus solely on the extent of forest loss without concern for its spatial pattern, likely due to greater uncertainty over the ecological effects of fragmentation, questions associated with indicator selection, the ill-defined nature of “fragmentation” as an indicator, and confusion over scale and data issues. I thus conclude with a discussion of how experiences gained from recent US assessments may provide insights useful for addressing most or all of these issues when conducting similar assessments in other countries or globally.     

Carbon forestry in West Africa: The politics of models,measures and verification processes

In a context of neo-liberal environmental governance, imperatives for global climate change mitigation are motivating a new round of policy initiatives and projects aimed at carbon forestry: conserving and enhancing forest carbon stocks, and trading these values in emerging carbon markets. In this context modelling and measurement, always significant in framing and justifying forest policy initiatives, are of renewed importance, with a growing array of protocols focused on counting and accounting for forest carbon as a commodity. This article draws on perspectives from science and technology studies and environmental discourse analysis to explore how these modelling and measurement processes are being co-constructed with forest carbon policies and political economies, and applied in project design in local settings. Document analysis and key informant interviews are used to track and illustrate these processes in a pair of case studies of forest carbon projects in Sierra Leone and Ghana. These are chosen to highlight different project types – focused respectively on forest reserve and farm-forestry – in settings with multi-layered histories of people-forest relations, landscape change and prior project intervention. The analysis shows how longer established framings and assessments of deforestation are being re-invoked and re-worked amidst current carbon concerns. We demonstrate that measurement processes are not just technical but social and political, carrying and thus cementing particular views of landscape and social relations that in turn make likely particular kinds of intervention pathway, with fortress style conservation or plantations becoming the dominant approach. In the process, other possibilities – including alternative pathways that might treat and value carbon as part of complex, lived-in landscapes, or respond more adaptively to less equilibrial people–forest relations, are occluded.     

Successful adaptation to climate change across scales

Climate change impacts and responses are presently observed in physical and ecological systems. Adaptation to these impacts is increasingly being observed in both physical and ecological systems as well as in human adjustments to resource availability and risk at different spatial and societal scales. We review the nature of adaptation and the implications of different spatial scales for these processes. We outline a set of normative evaluative criteria for judging the success of adaptations at different scales. We argue that elements of effectiveness, efficiency, equity and legitimacy are important in judging success in terms of the sustainability of development pathways into an uncertain future. We further argue that each of these elements of decision-making is implicit within presently formulated scenarios of socio-economic futures of both emission trajectories and adaptation, though with different weighting. The process by which adaptations are to be judged at different scales will involve new and challenging institutional processes.     

The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates

The majority of climate change impacts assessments account for climate change uncertainty by adopting the scenario-based approach. This typically involves assessing the impacts for a small number of emissions scenarios but neglecting the role of climate model physics uncertainty. Perturbed physics ensemble (PPE) climate simulations offer a unique opportunity to explore this uncertainty. Furthermore, PPEs mean it is now possible to make risk-based impacts estimates because they allow for a range of estimates to be presented to decision-makers, which spans the range of climate model physics uncertainty inherent from a given climate model and emissions scenario, due to uncertainty associated with the understanding of physical processes in the climate model. This is generally not possible with the scenario-based approach. Here, we present the first application of a PPE to estimate the impact of climate change on heat-related mortality. By using the estimated impacts of climate change on heat-related mortality in six cities, we demonstrate the benefits of quantifying climate model physics uncertainty in climate change impacts assessment over the more common scenario-based approach. We also show that the impacts are more sensitive to climate model physics uncertainty than they are to emissions scenario uncertainty, and least sensitive to whether the climate change projections are from a global climate model or a regional climate model. The results demonstrate the importance of presenting model uncertainties in climate change impacts assessments if the impacts are to be placed within a climate risk management framework.     

Scenarios in Global Environmental Assessments: Key characteristics and lessons for future use

Over the last 10 years a large set of global environmental assessment studies has been published that include scenario projections. Comparison of these studies shows that there is actually a limited set of scenario families that form the basis of many scenarios used in different environmental assessments. Mapping these scenario families allow a simpler comparison across the different assessments. The fact that many assessments can be positioned within these families gives some confidence of their relevance. It is also noticeable that several recent assessments have been focusing on more focussed policy-scenarios as variant to a single baseline. This is partly a response to a different stage in the policy-making process. While there are clear advantages of both categories of scenarios (explorative scenarios and baseline/policy variants), it might be important to test the robustness of scenario outcomes of the policy-scenario approach against the different storyline scenario-families identified in this paper.     

Bridging the gap: empowering decision-making for adaptation through the UK Climate Impacts Programme

Abstract

The methods, tools and outputs of the UK Climate Impacts Programme (UKCIP) show how building adaptive capacity to climate change can be embedded within a wide range of organizations. UKCIP has been operating since 1997 to support decision-makers' assessments of their vulnerability to climate change so that they can plan how to adapt. Whilst stakeholder engagement is now generally regarded as vital to ensure that research meets the needs of decision-makers for information, this usually means that stakeholders are positioned in a ‘consultative’ role in research. In contrast, the UKCIP aims to bridge the gap between research and policy so that decision-makers take control to produce research in ways that are useful to them. The Programme has been flexible and was developed incrementally, with increased scientific understanding, taking advantage of collaborative funding and facilitating long-standing partnerships. Whilst the core framework of scenarios and tools has been developed centrally, most studies have been stakeholder-funded and led. The Programme's results suggest that if decision-makers are supported, capacity is built for assessments, and crucially, research outputs are directly applicable to their ongoing work and strategic planning. This capacity-building has worked across scales and sectors and is an effective route to mainstreaming climate change adaptation. The implication, therefore, is that more support should be given by funding agencies to develop institutional capacity to support adaptation to climate change in both the private and public sectors.     

Patience,persistence and pre-signals: Policy dynamics of planned relocation in Austria

Within the wide array of adaptive responses to flood hazards, planned relocation of residents at risk is usually only taken into account if other responses are ineffective or unavailable. Residents targeted by planned relocation are confronted with radical changes in their livelihood; therefore, relocation is highly contested within public risk discourse. The present paper assesses dynamic processes in the design and implementation of voluntary planned relocation in the Austrian Danube catchment over five decades. Using the Multiple Streams Approach, the emergence of policy windows is mapped to developments in the problem, political, policy and population streams. A mixed-methods design combines semi-structured interviews of 88 affected households and 21 decision-makers with archival research. Repeated flood events underscored that standard protection did not suffice for all riverside communities. In consequence, national authorities acted as policy entrepreneurs to advocate planned relocation and direct the discourse; by contrast, local stakeholders and residents played a mostly passive role. The relocation policy developed from ad-hoc informal arrangements towards a formalised procedure. Relocation governance evolved as incremental change over a long time span instead of immediate, radical disruption. Policy acceptance by residents depended crucially on social learning and on coincidence with personal circumstances and biographical stages. Policy windows opened for several years, when pre-signals from ongoing public debate accumulated and the different timescales in the decision-making of public administrators, elected representatives and residents aligned. Key factors were long-term perspective, flexibility, engagement and social capacity at a local level to deal with and manage planned relocation.     

The social and political complexities of learning in carbon capture and storage demonstration projects

Demonstration of a fully integrated power plant with carbon capture and storage (CCS) at scale has not yet been achieved, despite growing international political interest in the potential of the technology to contribute to climate change mitigation and calls from multiple constituents for more demonstration projects. Acknowledging the scale of learning that still must occur for the technology to advance towards deployment, multiple CCS demonstration projects of various scales are emerging globally. Current plans for learning and knowledge sharing associated with demonstration projects, however, seem to be limited and narrowly conceived, raising questions about whether the projects will deliver on the expectations raised. Through a comparison of the structure, framing and socio-political context of three very different CCS demonstration projects in different places and contexts, this paper explores the complexity of social learning associated with demonstration projects. Variety in expectations of the demonstration projects’ objectives, learning processes, information sharing mechanisms, public engagement initiatives, financing and collaborative partnerships are highlighted. The comparison shows that multiple factors including the process of building support for the project, the governance context and the framing of the project matter for the learning in demonstration projects. This analysis supports a broader conceptualization of learning than that currently found in CCS demonstration plans - a result with implications for both future research and practice.