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The discussion reviews the prevailing pattern of energy demand and supply in the MINK states, speculates on the region's long-term energy future in the absence and presence of greenhouse warming, and, in the latter case, considers energy sector adaptation to such a prospect. Climate-sensitive energydemand is dominated by heating and cooling in various sectors of the regional economy (around 20% of regional energy consumption) and by such agricultural applications as irrigation pumping and crop drying (around 5%). A climate-sensitive energysupply issue of some importance is the region's partial dependence on hydroelectric capacity in the upper Missouri river basin. The analysis finds that, unlike the rather significant impacts likely to be experienced by other sectors of the regional economy, the hypothesized warming trend will translate into only small net increases in energy demand; and that technological possibilities and policy measures are available to mute any serious climatic effects on the energy sector.

The impacts of climate change on the agricultural, energy, forestry, and water sectors of MINK would reverberate negatively throughout the regional economy. Allowing for sectoral adjustments to the new climate, however, the decline in regional income and production would not likely exceed 1–2%. The largest economy-wide impacts would be by way of the agricultural and water sectors. The impacts by way of forestry and energy would be negligible, unless the nation adopts a program of massive reforestation to capture CO2, which would positively affect the regional economy.

A four step methodology has been developed for study of the regional impacts of climate change and the possible responses thereto. First the region's climate sensitive sectors and total economy are described (Task A, current baseline). Next a scenario of climate change is imposed on the current baseline (Task B, current baseline with climate change). A new baseline describing the climate sensitive sectors and total regional economy is projected for some time in the future (Task C, future baseline, year 2030) in the absence of climate change. Finally, the climate change scenario is reimposed on the future baseline (Task D, future baseline with climate change). Impacts of the climate change scenario on the current and future regional economies are determined by means of simulation models and other appropriate techniques. These techniques are also used to assess the impacts of an elevated CO2 concentration (450 ppm) and of various forms of adjustments and adaptations.

The climate of the 1930s was used as an analog of the climate that might occur in Missouri, Iowa, Nebraska and Kansas (the MINK region) as a consequence of global warming. The analog climate was imposed on the agriculture of the region under technological and economic conditions prevailing in 1984/87 and again under a scenario of conditions that might prevail in 2030. The EPIC model of Williamset al. (1984), modified to allow consideration of the yield enhancing effects of CO2 enrichment, was used to evaluate the impacts of the analog climate on the productivity and water use of some 50 representative farm enterprises. Before farm level adjustments and adaptations to the changed climate, and absent CO2 enrichment (from 350 to 450 ppm), production of corn, sorghum and soybeans was depressed by the analog climate in about the same percent under both current and 2030 conditions. Production of dryland wheat was unaffected. Irrigated wheat production actually increased. Farm level adjustments using low-cost currently available technologies, combined with CO2 enrichment, eliminated about 80% of the negative impact of the analog climate on 1984/87 baseline crop production. The same farm level adjustments, plus new technologies developed in response to the analog climate, when combined with CO2 enrichment, converted the negative impact on 2030 crop production to a small increase. The analog climate would have little direct effect on animal production in MINK. The effect, if any, would be by way of the impact on production of feed-grains and soybeans. Since this impact would be small after on-farm adjustments and CO2 enrichment, animal production in MINK would be little affected by the analog climate.

Wood continues to be a major fuel source for vast numbers of the world's people. Even in the highly industrialized countries, use of wood and wood wastes as fuel produces a small (in comparison to fossil fuels) but non-negligible amount of CO2. Although information on the worldwide harvest and use of wood is not as complete or as reliable as fossil fuel data, this paper uses what is available and develops annual estimates of CO2 emissions for the period 1968–1983. Woods are separated into two types, coniferous and non-coniferous, and average content and carbon amounts are estimated for each type. Wood utilization is divided into several categories, e.g., fuelwood, lumber, poles, and use of wood wastes as fuels in the lumber and paper industries is included. Results are given for major world regions. In recent years the worldwide CO2 emissions from wood used as fuels is estimated to be about one-tenth as much as CO2 emissions from fossil fuels. This does not include fires in the forests, either associated with forest clearing or those from natural causes.

Previous studies have projected a significant role for bioenergy in decarbonizing the global economy and helping realize international climate goals such as limiting global average warming to 2 ˚C or 1.5 ˚C. However, with substantial variability in bioenergy results and significant concerns about potential environmental and social implications, greater transparency and dedicated assessment of the underlying modeling and results and more detailed understanding of the potential role of bioenergy are needed. Stanford University’s Energy Modeling Forum (EMF) initiated a 33rd study (EMF-33) to explore the viability of large-scale bioenergy as part of a comprehensive climate management strategy. This special issue presents the papers of the EMF-33 study—a multi-year inter-model comparison project designed to understand and assess global, long-run biomass supply and bioenergy deployment potentials and related uncertainties. Using a novel scenario design with independent biomass supply and bioenergy demand protocols, EMF-33 separately elucidates and explores the modeling of biomass feedstock supplies and bioenergy technologies and their deployment—revealing, comparing, and assessing the modeling that is suggesting that bioenergy could be a key climate containment strategy. This introduction provides an overview of the EMF-33 study design and the overview, thematic, and individual modeling team papers and types of insights that make up this special issue. By providing enhanced transparency and new detailed insights, we hope to inform policy dialogue about the potential role of bioenergy and facilitate new research.

This paper explores stakeholder perspectives on the drought discourse in the UK, where climate change is predicted to increase drought risk. This study took a co-productive, mixed-methods approach to investigate drought risk communication issues through repeated engagements with local advisory groups in seven catchments across Britain and a national stakeholder competency group. These data were enriched by in-depth interviews with 17 statutory and non-statutory stakeholders working in a variety of capacities from water supply to habitat management. Codes were divided into contextual factors (cultural or drought specific factors) and individual factors (individual attributes relating to the person receiving the communication or factors within the control of communicators). The paper considers the implications of these contextual and personal factors for approaches to, and the framing of, drought risk communication (DRC). We conclude by proposing a framework for thinking about DRC in maritime climates where drought risk may not be readily perceived by some publics. This framework explores the role of heuristics in risk perception, and proposes a way of conceptualising publics that may more readily engage with DRC. In proposing the framework, we seek to stimulate new ways of thinking about DRC.

This paper assesses the options that developing countries have in ensuring food security in an environment where key climate parameters are changing rapidly. Based on a case study of Lesotho, the paper utilizes the Global Climate Model ensemble to determine future precipitation and temperature projections using data from Climate Explorer. The results indicate that in Lesotho, maximum temperature is likely to continue to increase. Coupled with a significant increase in precipitation under both Representative Concentration Pathway (RCP) 4.5 (p = 0.0008) and RCP 8.5 (p = 0.0001) scenarios and a significant increase of evaporation under the two scenarios for RCP 4.5 (p = 0.0008) and RCP 8.5 (p = 0.0103), the country’s preparedness for hazards arising from climate change is rendered uncertain. Despite this reality, we suggest that uncertainty could be reduced by reinforcing existing innovative measures that could improve the productive capacity of subsistence farmers, so that they meet their own food requirements, while preventing further environmental deterioration. While some measures will be based on the intensification of government-led social support mechanisms, others will depend on the support rendered to “tried and tested” traditional practices such as machobane and fato-fato, which have a long tradition in the country. However, on their own, these measures are insufficient to cope with rapidly changing climatic conditions, unless they are coupled with national research development initiatives, improved early warning systems, and enhancement of environmental monitoring capabilities, the implementation of which requires careful land use planning.

In this paper, a systematic literature review was conducted to synthesize understanding on farmers’ perception on climate change. Farmers’ perception of climate change is conceptualized as comprising of three dimensions—first, as farmers’ “awareness”; second, “conceptual understanding”; and third, the “experience” of climate change. The review included 162 papers published during the period January 2000 to July 2019. The highest number of studies was conducted in Africa, followed by Asia. A large majority of farmers report being aware of climate change. However, only a few studies elicit the difference between climate variability and climate change from farmers. A negligible number of studies attempt to identify the role of agricultural activities in greenhouse gas emissions and climate change. Furthermore, authors compare farmers’ perception with meteorological evidence, which is more aligned in terms of change in “temperature” rather than “precipitation.” The insights from the review provide guidance on conceptualization and operationalization of the variable “farmers’ perception of climate change” for future studies.

The cranberry, a commodity of social, cultural, and economic importance to New England, is under threat due to climatic change in this region of the United States. Yet, previous research reveals that cranberry growers have mixed attitudes about the anthropogenic roots of climate change, with many being skeptical. Building on the researchers’ analysis of the personal and ecological conditions that affect climate change attitudes among cranberry growers, this paper examines the effect that key actors in the growers’ social networks have on those attitudes. Through statistical analysis of survey data and content analysis of two important cranberry newsletters, the paper finds that cranberry growers’ perceived importance of two key cranberry growing institutions, the “sociopolitically focused” Cape Cod Cranberry Growers’ Association and the “technically focused” University of Massachusetts Cranberry Station, as well as connections to other cranberry growers, is associated in nuanced ways with growers’ climate change attitudes. Drawing on the sociological theory of “social capital,” the paper examines how these social ties to key actors/institutions may result in greater threat perception or worry about climate change. It then considers how “green ties,” if harnessed and supported by these important actors in the cranberry grower network, might significantly mitigate climate change in the future. Electronic supplementary material The online version of this article (10.1007/s10584-020-02808-0) contains supplementary material, which is available to authorized users.

The tangible progress to address climatic change remains painfully slow. As a result, practices to deliberately manipulate the Earth’s carbon and energy cycles to counteract climate change have gained traction and they are increasingly incorporated into mainstream debate. This paper examines one of the less documented examples of climate geoengineering, namely the creation of ‘super low carbon cows’. Driven by the public’s desire for a low carbon pint of milk or beef burger, I show how a combination of bioengineering, technological fixes and management practices have resulted in, and are informing, everyday changes to the way in which animals are bred, cared for and eaten—and in turn, how it affects the food that we consume. Thus, the role of the cow within the Anthropocene now extends from meat machine and sentient being to climate change saviour. I seek to show that super low carbon cows represent part of a wider climate ‘responsibilisation’ in which business interests and corporate storytelling are governing and enacting everyday mundane practices of climate engineering as part of the corporate carbon economy. Yet, as with other climate ‘fixes’, this paper shows that the super low carbon cow provides, at best, an imperfect correction. Critical gaps in the evidence of the efficiency of the solutions being advanced remain whilst manipulating an animal to be more climate friendly evokes unease when considering the wider sustainability and ethical impacts. Perhaps most critically, reliance on climate engineering to provide cheap and easy ways to control our climate fails to question, far less address, the ever-increasing demand, production and wastage of food. It also potentially undermines the already weak political will for other essential and more radical responses to climate change. In doing so, I contrast the extensive efforts to change the everyday behaviours of a cow with the limited attempts to meaningfully challenge the everyday practices, consumption lifestyles and dietary choices of the general public.

Developing country case studies have thus far been under-represented in conceptual models attempting to theorize energy transitions. This paper explores the role of climate finance in the process of Madagascar’s planned transition to renewable energy sources as envisioned in the country’s New Energy Policy in order to demonstrate the different experience in developing countries when compared to hegemonic transition narratives. Drawing upon qualitative interviews with energy finance providers and focus groups in recently electrified rural communities, this paper reveals that Madagascar’s transition is dependent on the financial resources mobilized by the government’s technical and financial partners. Climate finance emerges as a critical lever to implement environmental legislation. The interview findings were correlated with census data to evaluate how current financing strategies are directly connected to energy justice issues, namely the equality in access to affordable and clean energy. Through an analysis of projected energy finance flows and key financiers’ financing strategies, this paper exposes a shift from grant-based climate finance to financial instruments with clear return profiles, such as concessional loans and private capital, and finds that the choice of financial instrument impacts the provision of complementary social services in rural electrification schemes. Grants are linked to higher investments into complementary social services, while private financiers focus on innovation and scale. Purely private financed electrification projects were found to negatively impact social cohesion by increasing the inequality in access to energy. This study concludes that if only commercially viable energy projects were to be financed going forward, up to 19 million Madagascans might be excluded from future electrification efforts. Consequently, this paper urges researchers to consider social justice implications when evaluating climate finance strategies.

This paper assesses the potential role of the implementation of the best available technologies to reduce the economic consequences of outdoor air pollution in the coming decades. The paper focuses on market impacts related with additional health expenditures, changes in labour productivity and crop yield losses and also presents results on non-market costs, i.e. welfare losses from avoided premature deaths. The results show that technological improvements can potentially reduce concentrations of air pollutants to levels compatible with the WHO guidelines in most countries. However, technology measures can only reduce part of the economic costs relative with the market impacts. While those are efficient in reducing the direct costs of air pollution, there are still large indirect costs associated with current and remaining pollution levels. Policies that aim directly at avoiding economic impacts need to be implemented to further reduce air pollution damages, especially in the regions where technologies are not sufficient to reduce concentrations or where economic consequences persist despite reduced concentration levels.

This paper proposes an assessment of long-term climate strategies for oil- and gas-producing countries—in particular, the Gulf Cooperation Council (GCC) member states—as regards the Paris Agreement goal of limiting the increase of surface air temperature to 2°C by the end of the twenty-first century. The study evaluates the possible role of carbon dioxide removal (CDR) technologies under an international emissions trading market as a way to mitigate welfare losses. To model the strategic context, one assumes that a global cumulative emissions budget will have been allocated among different coalitions of countries—the GCC being one of them—and the existence of an international emissions trading market. A meta-game model is proposed in which deployment of CDR technologies as well as supply of emission rights are strategic variables and the payoffs are obtained from simulations of a general equilibrium model. The results of the simulations indicate that oil and gas producing countries and especially the GCC countries face a significant welfare loss risk, due to “unburnable oil” if a worldwide climate regime as recommended by the Paris Agreement is put in place. The development of CDR technologies, in particular direct air capture (DAC) alleviates somewhat this risk and offers these countries a new opportunity for exploiting their gas reserves and the carbon storage capacity offered by depleted oil and gas reservoirs. This paper was made possible by NPRP grant number 10-0212-170447 from the Qatar National Research Fund (a member of Qatar Foundation). The first author acknowledges support provided by FONDECYT 1190325 and by ANILLO ACT192094, Chile. The fourth author also received support provided by the IFP School Chair on Carbon Management (CARMA). The last author also received support provided by the H2020 European Commission Project “PARIS REINFORCE” under grant agreement no. 820846.

Climate information and agro-advisory services are crucial in helping smallholder farmers and pastoralists in East Africa manage climate-related risks and adapt to climate change. However, significant gaps exist in provision of climate information that effectively addresses the needs of farmers and pastoralists. Most farmers and pastoralists, therefore, rely on indigenous knowledge (IK), where local indicators and experiences are used to observe and forecast weather conditions. While IK-based forecasting is inbuilt and established in many communities in East Africa, coordinated research and systematic documentation of IK for weather forecasting, including accuracy and reliability of IK is largely lacking. This paper documents and synthesizes existing IK for weather forecasting in East Africa using case studies from Ethiopia, Tanzania, and Uganda. The results show that farmers and pastoralists use a combination of meteorological, biological, and astrological indicators to forecast local weather conditions. IK weather forecasting is, therefore, crucial in supporting efforts to improve access to climate information in East Africa, especially in resource-poor and vulnerable communities. The paper draws valuable lessons on how farmers and pastoralists in East Africa use IK weather forecasts for making crop and livestock production decisions and demonstrates that the trust and willingness to apply scientific forecasts by farmers and pastoralists is likely to increase when integrated with IK. Therefore, a systematic documentation of IK, and a framework for integrating IK and scientific weather forecasting from national meteorological agencies can improve accuracy, uptake, and use of weather forecasts.

The assessment of the impacts of climate change at different levels of global warming helps inform national and international policy discussion around mitigation targets. This paper provides consistent estimates of global and regional impacts and risks at increases in global mean temperature up to 5 °C above pre-industrial levels, for over 30 indicators representing temperature extremes and heatwaves, hydrological change, floods and droughts and proxies for impacts on crop yields. At the global scale, all the impacts that could plausibly be either adverse or beneficial are adverse, and impacts and risks increase with temperature change. For example, the global average chance of a major heatwave increases from 5% in 1981–2010 to 28% at 1.5 °C and 92% at 4 °C, of an agricultural drought increases from 9 to 24% at 1.5 °C and 61% at 4 °C, and of the 50-year return period river flood increases from 2 to 2.4% at 1.5 °C and 5.4% at 4 °C. The chance of a damaging hot spell for maize increases from 5 to 50% at 4 °C, whilst the chance for rice rises from 27 to 46%. There is considerable uncertainty around these central estimates, and impacts and risks vary between regions. Some impacts—for example heatwaves—increase rapidly as temperature increases, whilst others show more linear responses. The paper presents estimates of the risk of impacts exceeding specific targets and demonstrates that these estimates are sensitive to the thresholds used.

In this final paper, the guest editors identify and discuss ten guidelines emerging from the papers in this Special Issue on Decision-Support Tools for Climate Change Adaptation. The guidelines are arranged under three headings: foundational, design and construction, and supporting sustainability in the long term. Under foundational, we address the need for co-operation with end users of decision-support resources, the contribution these resources can make to the formation of thriving communities of practice, and the match between the different types of decision support and user needs. Under design and construction, we point to the risk that policy settings will change over the multiple years required to build and publish complex decision-support resources, reducing the relevance of the final product. We discuss the need for innovative approaches to ensure visibility, credibility and hence uptake. Developers should be mindful of the requirements, resources and capabilities of potential users at all points in the design and build. We also suggest that decision-support resources may be transferable between sectors and locations, but the motivation should be around achieving excellence, and not just cost savings. Under supporting sustainability in the long term, we stress the need for evaluation and comparative studies of performance, leading to carefully documented updating and improvement of decision-support resources. Finally, in the conclusions, we look to the future. Can decision-support resources evolve successfully to meet the information and guidance requirements of the increasingly sophisticated adaptation practitioner community?

There has been a global trend away from delivering ‘climate information’ towards producing ‘climate services’ for decision-makers. The rationale for this shift is said to be the demand for timely and actionable climate knowledge, whilst the means of its delivery involves a shift from public good to more privatised forms of climate science. This paper identifies important implications of this shift to climate services by examining the role of consultants, drawing on an in-depth study of adaptation consultants in Australia. The role of consultants is instructive, not just because these private sector experts are engaged in climate services, but also because publicly funded climate science agencies are increasingly encouraged to behave as consulting firms do. Four imperatives of knowledge businesses—to be client-focussed, solutions-oriented, resource-efficient and self-replicating—are described. The paper argues that an emphasis on climate services shifts the incentives for climate science away from the public interest towards the ongoing pursuit of profit. There is a subsequent diversion of effort away from publicly accessible and transparent climate information to private knowledge for discrete clients. Climate services also emphasise knowledge for climate solutions as opposed to the politically charged identification of climate risks. The paper concludes with a warning that the trend towards climate services undermines the knowledge required for societies to adequately respond to the scale, speed and severity of climate change. At the heart of this issue is a climate services paradox: how to achieve customisation without exclusion.

Formal structures for evaluating climate change risk are important components of adaptation decision-making. In this paper, we present an accessible, cost-effective and user-tested climate change risk assessment framework which allows organisations to systematically apply a risk management process aligned with international standards to identify and manage their climate change risks. It is delivered through ‘CoastAdapt’, a resource supporting climate change adaptation in Australia. This three-tier framework offers four benefits to the adaptation process. First, it allows organisations to identify climate change risks and integrate them with their mainstream risk management process. Second, it makes optimal use of an organisation’s limited adaptation resources by taking a tiered approach, so allowing an organisation to start from a low knowledge base using minimal resources and, only if required, then move to more complex and resource-intensive risk assessment processes. Third, it introduces a time-dependent vulnerability rating which recognises the particular characteristics of climate change risks—that they are long term and associated with a considerable degree of uncertainty. Finally, it takes into account business inter-dependencies that can exacerbate impacts but be overlooked in a sector-based impacts evaluation. In this paper, we highlight the appropriate context in which to use each risk assessment tier, explore key technical differences among the three tiers, describe performance testing and present one case study of application. We discuss the benefits of this tiered risk assessment approach in the context of broader adaptation planning.

There is increasing concern that climate change poses an existential risk to humanity. Understanding these worst-case scenarios is essential for good risk management. However, our knowledge of the causal pathways through which climate change could cause societal collapse is underdeveloped. This paper aims to identify and structure an empirical evidence base of the climate change, food insecurity and societal collapse pathway. We first review the societal collapse and existential risk literature and define a set of determinants of societal collapse. We develop an original methodology, using these determinants as societal collapse proxies, to identify an empirical evidence base of climate change, food insecurity and societal collapse in contemporary society and then structure it using a novel-format causal loop diagram (CLD) defined at global scale and national granularity. The resulting evidence base varies in temporal and spatial distribution of study and in the type of data-driven methods used. The resulting CLD documents the spread of the evidence base, using line thickness and colour to depict density and type of data-driven method respectively. It enables exploration of how the effects of climate change may undermine agricultural systems and disrupt food supply, which can lead to economic shocks, socio-political instability as well as starvation, migration and conflict. Suggestions are made for future work that could build on this paper to further develop our qualitative understanding of, and quantitative complex systems modelling capabilities for analysing, the causal pathways between climate change and societal collapse.

Research on using climate information has often focused on the interaction between users and producers and the technical fit of information for real decision-making. However, due to resource and capacity constraints within both user and producer communities, this approach will not always be feasible or indeed necessary depending on the decisions at hand. These contexts have been relatively under-explored by scholars, and this paper provides an original empirical contribution using three case studies of sub-national governments in India, Kenya and Uganda. In the paper, we analyse how social learning supports changing the usability of climate information and the role of intermediary organisations in these processes. Firstly, the paper shows that intermediaries often choose to build the commitment to project aims rather than using climate information as an entry point to working on climate change, and this allows them to instigate challenging learning processes. Secondly, there are barriers to iterative processes and critical reflection with government stakeholders but these processes can gain traction when built into institutional practices such as formal M&E processes. Lastly, social learning can broaden the framing of climate change from a single sector issue to a multi-sectoral one. We conclude by arguing that bringing together scholarship on social learning with that on the usability of climate information can deepen understanding of the dynamic context in which the information becomes usable. The evidence from the case studies shows that learning processes can alter this context across scales.

The potential for transferring and translating existing adaptation to climate change decision-support tools for use in different settings provides both opportunities and challenges to those wanting to support such decisions in or for the targeted community/organisation. The opportunities are related to being able to build on an existing credible and tested tool and its supportive resources and foregoing the costs associated with developing such themselves. The challenges relate to taking advantages of the strengths of an existing tool whilst adapting it and its supportive resources such that they are fit for purpose and accepted within the targeted community/organisation. This paper identifies and explores these opportunities and challenges through those revealed as a result of transferring and translating the UKCIP Adaptation Wizard for use within other parts of the world and in different communities and organisations. Whilst drawing on a number of different examples of where the Wizard has been translated, this paper particularly focuses on the transfer and translation for use in Portugal and in Brazil. General lessons learnt related to transferring adaptation decision-support tools are identified and used to develop a practical framework. The intention is to provide insights that have broader implications for those considering transferring similar adaptation decision-support tools, but also for tool developers who want to see their tools being used more broadly.

To meet the growing demand for climate change information to guide national and local adaptation decision-making in the Philippines, the climate science and services community is producing an increasing volume of future climate data using a range of modelling approaches. However, there is a significant methodological challenge in how to best compare and combine information produced using different models and methods. In this paper, we present the landscape of climate model data available in the Philippines and show how multi-model, multi-method climate projections are being used and communicated to inform climate change policy and planning, focusing on the agriculture sector. We highlight the importance of examining and communicating methodological strengths and weaknesses as well as understanding the needs and capabilities of different user communities. We discuss the assessment of projections from different methods, including global and regional downscaled simulations, and discuss ways to summarise and communicate this information to stakeholders using co-production approaches. The paper concludes with perspectives on how to best use an “ensemble of opportunity” to construct defensible, plausible and usable climate projections.

Since its release in 2014, the Knowledge Portal for Spatial Adaptation has evolved into the central web portal for climate adaptation in the Netherlands, supporting regional and local adaptation efforts. This paper reflects on how co-production shaped the development of the portal and evaluates its use and the usability of the most frequently accessed tool, the ‘Climate Adaptation Atlas’. Analysis of evaluation reports and web-statistics revealed a substantial, diverse and regularly returning group of visitors to the portal. For example, municipalities use the atlas to understand how their municipality can be impacted by climate change to support spatial planning. Using the usability criteria of fit, interplay and interaction, the analysis showed that the atlas fits the needs of creating awareness and integrating climate information with other spatial information. However, the interplay of new climate information with other currently used information varies amongst municipalities. Interactions between scientists and users were found at different stages involving different actors. Based on the development and use of the portal, seven lessons have been derived emphasising the importance of a continuous co-production process with users; a modular setup to acknowledge the diversity in approaches; encouraging users by providing showcases of adaptation initiatives and enabling exchange of information amongst users; the need for political support; the ability and will to act even in case of uncertainty; flexibility in project design to incorporate changes in user needs and the beneficial role of boundary organisations in improving mutual understanding. Through this paper, contributions to the understanding of how adaptation web portals can be developed and improved are made.

This paper distinguishes between bridging and bonding social capital to assess their roles for individual farmers’ adaptation strategies taken through technology adoption. Based on primary data collected in Langcang River (LCR) basin area in southwestern China, the paper finds: (1) adaptation measures have been widely taken by surveyed households, but non-infrastructure-based measures are more prevalent than infrastructure-based measures and (2) surveyed households have strong social capital while having weak bridging social capital. Their bonding social capital has significantly positive relationship with their adaptation decisions, but bridging social capital does not have such statistically significant relationship. It recommends that the governments contemplate carefully how to help the poor to get a good combination of bonding and bridging social capital when designing policies to help the rural poor to improve their long-term adaptive capacity and achieve sustainable rural development.

Exposure to heightened intensity and frequency of extreme climatic events coupled with higher vulnerability of population has pushed up the disaster risk graph in developing nations. The area under study, India’s eastern coast, is particularly susceptible to cyclones originating in the Bay of Bengal. This paper is aimed at identifying perceptions of impacts and preparedness levels of coastal and inland fishermen, the inhabitants of the Ganjam and Puri districts in the eastern coast of India with the aid of fuzzy cognitive maps. Based on communities’ perceptions, we have attempted to capture both the economic impacts (losses and damages) wreaked by cyclones as well as the ecological and social impacts in a bid to unearth options for policy makers and planners to be used for bolstering disaster preparedness. The paper also aims at evaluating the effectiveness of current preparedness measures in the context of climate change by deploying various fuzzy cognitive mapping simulation-based preparedness pathways. On the methodological front, our findings confirm that FCM simulations developed through modified activation rule with a hyperbolic transformation function give better results compared to other methods. The findings reveal that none of the preparedness pathways with current preparedness measures is adequate in terms of providing resilience against cyclonic risks. Hence, in order to increase communities’ resilience against cyclones, there is a need for new sets of impact-specific preparedness measures.

In this paper, we argue that important questions of the intergenerational distribution of the costs of climate change remain even if a temperature target 2 °C is assumed because the target can be pursued in ways that assign costs differently across generations. Moreover, the discounted utilitarian approach that is standard in the economics literature is suspect in light of an a priori argument about its fairness. We also compare the results of modeling Nordhaus’s version of discounted utilitarianism, constrained by a 2-degree warming parameter, with a similarly constrained version of a principle that requires minimizing the accumalted differences in the burdens of climate change costs across generations. The model comparison demonstrates that the a priori worry about discounted utilitarianism is largely born out. Nordhaus’s version of discounted utilitarianism assigns poorer generations a heavier burden because it is optimific to do so. These arguments call into question the tremendous credibility that discounted utilitarianism enjoys in climate policy. The most important policy implication of the paper is that in order to pursue a fair path towards limiting warming to 2 °C, policy should be directed to increasing the price of carbon over the short term significantly more than what is called for by Nordhaus’s model.

Seasonal climate forecasts (SCF) provide information about future climate variability that has the potential to benefit organisations and their decision-making. However, the production and availability of SCF does not guarantee its use in decision-making per se as a range of factors and conditions influence its use in different decision-making contexts. The aim of this paper is to identify the barriers and enablers to the use of SCF across organisations in Europe. To achieve that, we conducted 75 in-depth interviews with organisations working across eight sectors (including energy, transport, water and agriculture) and 16 countries. The majority of the organisations interviewed do not currently use SCF. This was due to the low reliability and skill of SCF in Europe but also with other non-technical aspects such as the lack of relevance and awareness of SCF in the organisations. Conversely, the main enabler to the use of SCF was the interactions with the providers of SCF. In addition, the level of organisational resources, capacity and expertise were also significant enablers to the use of SCF in organisations. This paper provides the first empirical assessment of the use of SCF in Europe. Such insights provide not only an overview of the existing barriers and enablers to the use of SCF in Europe and how these can be overcome and negotiated to enhance the usability of SCF, but can also help inform the broader and emerging context of climate services development in Europe. Electronic supplementary material The online version of this article (doi:10.1007/s10584-016-1671-8) contains supplementary material, which is available to authorized users.

Mainstreaming climate change adaptation (CCA) links adaptation and sustainable development goals by integrating climate change information, concerns, and considerations into existing development planning, policy- and decision-making processes. It is gaining popularity in developing countries, but its operationalization has been slow because of the challenges that hinder its on-ground application. To understand the nature of these challenges, this paper developed a four-stage mixed methodology that examined mainstreaming of CCA into local land use planning in Albay, Philippines. The methodology includes a modified Institutional Analysis and Development framework for the qualitative analysis, and 20 mainstreaming indicators for the quantitative assessment. The data used in the analysis were collected from a survey and the interviews conducted among the key players in local land use planning in Albay. The correlation analysis showed that the challenges related to knowledge and awareness, local government prioritization, institutional incentives, availability of funds, access to funds, and stability of funds had the highest frequency of interconnections with the other challenges. Also, a strong tripartite relationship among local leadership, local government prioritization, and local government’s commitment to CCA was observed. The paper suggests that mainstreaming challenges are interconnected at varying degrees. It presents analytical tools and quantifiable measures that can be used to develop a reliable basis for the qualitative assessments of adaptation needs and effectiveness. These sets of information can help analyst and practitioners make informed decisions regarding the operationalization of mainstreaming CCA.

One of the most important interactions between humans and climate is in the demand and supply of water. Humans withdraw, use, and consume water and return waste water to the environment for a variety of socioeconomic purposes, including domestic, commercial, and industrial use, production of energy resources and cooling thermal-electric power plants, and growing food, fiber, and chemical feed stocks for human consumption. Uncertainties in the future human demand for water interact with future impacts of climatic change on water supplies to impinge on water management decisions at the international, national, regional, and local level, but until recently tools were not available to assess the uncertainties surrounding these decisions. This paper demonstrates the use of a multi-model framework in a structured sensitivity analysis to project and quantify the sensitivity of future deficits in surface water in the context of climate and socioeconomic change for all U.S. states and sub-basins. The framework treats all sources of water demand and supply consistently from the world to local level. The paper illustrates the capabilities of the framework with sample results for a river sub-basin in the U.S. state of Georgia.

This paper introduces the special issue of Climatic Change on the QUEST-GSI project, a global-scale multi-sectoral assessment of the impacts of climate change. The project used multiple climate models to characterise plausible climate futures with consistent baseline climate and socio-economic data and consistent assumptions, together with a suite of global-scale sectoral impacts models. It estimated impacts across sectors under specific SRES emissions scenarios, and also constructed functions relating impact to change in global mean surface temperature. This paper summarises the objectives of the project and its overall methodology, outlines how the project approach has been used in subsequent policy-relevant assessments of future climate change under different emissions futures, and summarises the general lessons learnt in the project about model validation and the presentation of multi-sector, multi-region impact assessments and their associated uncertainties to different audiences.

“Societal teleconnections” – analogous to physical teleconnections such as El Niño – are human-created linkages that link activities, trends, and disruptions across large distances, such that locations spatially separated from the locus of an event can experience a variety of impacts from it nevertheless. In the climate change context, such societal teleconnections add a layer of risk that is currently neither fully appreciated in most impacts or vulnerability assessments nor in on-the-ground adaptation planning. Conceptually, societal teleconnections arise from the interactions among actors, and the institutions that guide their actions, affecting the movement of various substances through different structures and processes. Empirically, they arise out of societal interactions, including globalization, to create, amplify, and sometimes attenuate climate change vulnerabilities and impacts in regions far from those where a climatic extreme or change occurs. This paper introduces a simple but systematic way to conceptualize societal teleconnections and then highlights and explores eight unique but interrelated types of societal teleconnections with selected examples: (1) trade and economic exchange, (2) insurance and reinsurance, (3) energy systems, (4) food systems; (5) human health, (6) population migration, (7) communication, and (8) strategic alliances and military interactions. The paper encourages further research to better understand the causal chains behind socially teleconnected impacts, and to identify ways to routinely integrate their consideration in impacts/vulnerability assessment and adaptation planning to limit the risk of costly impacts. Electronic supplementary material The online version of this article (doi:10.1007/s10584-015-1328-z) contains supplementary material, which is available to authorized users.

There is a growing focus on the economics of adaptation as policy moves from theory to practice. However, the techniques commonly used in economic appraisal have limitations in coping with climate change uncertainty. While decision making under uncertainty has gained prominence, economic appraisal of adaptation still uses approaches such as deterministic cost-benefit analysis. Against this background, this paper provides a critical review and assessment of existing economic decision support tools (cost-benefit analysis and cost-effectiveness analysis) an uncertainty framework (iterative risk management) and alternative tools that more fully incorporate uncertainty (real options analysis, robust decision making and portfolio analysis). The paper summarises each method, provides examples, and assesses their strengths and weaknesses for adaptation. The tools are then compared to identify key differences, and to identify when these approaches might be appropriate for specific applications in adaptation decision making.

The Climate Change Impacts and Risk Analysis (CIRA) modeling exercise is a unique contribution to the scientific literature on climate change impacts, economic damages, and risk analysis that brings together multiple, national-scale models of impacts and damages in an integrated and consistent fashion to estimate climate change impacts, damages, and the benefits of greenhouse gas (GHG) mitigation actions in the United States. The CIRA project uses three consistent socioeconomic, emissions, and climate scenarios across all models to estimate the benefits of GHG mitigation policies: a Business As Usual (BAU) and two policy scenarios with radiative forcing (RF) stabilization targets of 4.5 W/m2 and 3.7 W/m2 in 2100. CIRA was also designed to specifically examine the sensitivity of results to uncertainties around climate sensitivity and differences in model structure. The goals of CIRA project are to 1) build a multi-model framework to produce estimates of multiple risks and impacts in the U.S., 2) determine to what degree risks and damages across sectors may be lowered from a BAU to policy scenarios, 3) evaluate key sources of uncertainty along the causal chain, and 4) provide information for multiple audiences and clearly communicate the risks and damages of climate change and the potentialmore » benefits of mitigation. This paper describes the motivations, goals, and design of the CIRA modeling exercise and introduces the subsequent papers in this special issue.« less

Climate change impacts are already happening through the world, and it is now clear that there is the need for an adaptive response from global institutions down to the local level. Reducing vulnerability to cope with climate variability might be more challenging in tropical countries than in North America or Europe. The ten papers of this special issue were presented during the Adaptclim conference that was held by the Sinergia Project, the CLARIS LPB project, and the GeoData Institute in Asuncion, Paraguay, in 2010. All papers, except one regarding the Brahmaputra Basin in South Asia, present studies from South America. These studies are first contextualized geographically and then are related one to another by a simplified vulnerability concept linking climate stress to sensitivity and adaptive capacity of natural and human systems. One half of the papers focus on actual or future climate change and the present-day causes of the vulnerability of natural and agrosystems. Droughts are and will be the main source of stress for agriculture in South America. Increasing fragmentation of forest of the center of this continent is aggravating their vulnerability to dry spells. Another half of the studies of this special issue deal with the adaptive capacity human populations to system perturbations produced or enhanced by climate change. The studies point out inclusion of traditional knowledge and involvement of local actors in their own vulnerability assessment to increase adaptive capacity. These elements of climate justice, giving voice to those less responsible for carbon emissions but bearing their most severe consequences, allow the particular needs of a community to be considered and can direct adaptation policy toward preserving or rebuilding their specific capabilities under threat from climate change. The special issue also made clear that a basin analysis of the climate change problem could provide information, results, and methods more readily of use for the local population and decision makers.

In addition to carbon dioxide, it is becoming increasingly clear that there are numerous other potent agents of anthropogenic forcing (e.g. methane, ozone, black carbon) at work in the climate system today. The typical ethical framing of climate change has not yet accommodated this complexity. In addition, geoengineering has often been presented as a Plan B that would simply counter unintentional (and positive) anthropogenic forcing with intentional (and negative) anthropogenic forcing. This paper attempts to better address the complexity by outlining an ethical framework for reducing all anthropogenic forcing, a position it labels the 'climate imperative.' The paper considers geoengineering alongside various other anthropogenic forcing activities and discusses what the climate imperative would say about each of them. On this analysis, GHG and black carbon reductions remain a priority. At the same time, the framing reveals a significant ethical difference between geoengineering through solar radiation management and through carbon dioxide removal.

Using case study analysis across three sectors in China (cement, electric vehicles and coal fired electricity generation) and theoretical insights from the innovation studies literature, this paper analyses the development of China’s technological capabilities in low carbon technologies and the ways in which public policies have contributed to developing these capabilities. It finds that China has developed significant capabilities via a strategic approach. The paper’s findings have significant implications for international policies designed to support low carbon technology transfer to developing countries and broader processes of low carbon technological change and development. Such policies should go beyond the traditional focus on the transfer of technology hardware to focus on the development of low carbon technological capabilities in developing country firms.

The paper discusses the development of economic techniques for dealing with uncertainties in economic analysis of planting trees to mitigate climatic change. In consideration of uncertainty, time preference and intergenerational equity, the traditional cost-benefit analysis framework is challenged with regard to the discounting/non-discounting of carbon uptake benefits, and because it usually uses a constant and positive discount rate. We investigate the influence of various discounting protocols on the outputs of economic analysis. The idea of using the declining discount rate is also considered. Several numerical examples dealing with the analysis of afforestation for carbon sequestration in Scotland and Ukraine are provided. We show that the choice of discounting protocols have a considerable influence on the results of economic analysis, and therefore, on the decision-making processes related to climate change mitigation strategies. The paper concludes with some innovative insights on accounting for uncertainties and time preference in tackling climate change through forestry, several climate policy implications of dealing with uncertainties, and a brief discussion of what the use of different discounting protocols might imply for decision making.

This paper investigates the potential impacts of alternative international climate change scenarios based on different policies and technological circumstances on future emission pathways and abatement costs. It also examines if these hypothetical scenarios could result in significant emission reductions required to control the global temperature from rising to no more than 2.5 °C above preindustrial level. Using an integrated assessment model, this paper examines these issues under 12 scenarios derived from four policy perspectives and three technology dimensions. Results show that the no-policy-change baseline scenarios lead to high global average temperatures in the future. To control the temperature efficiently, every global region will be required to undertake considerable abatement efforts. Current country pledges alone, even if fully implemented, cannot control the global temperature in the future to within a comfortable zone. There will still be large gap between the reductions needed to meet the 2.5 degree objective, associated with 550 ppm and the reductions associated with existing abatement efforts. Further stringent policies together with favourable technological conditions may lead to the desired level of temperature control. Participation by only a subset of nations not only makes achieving the temperature goal difficult but also costly. To achieve temperature control efficiently, global coordination and full participation by all regions are necessary and global participation may reduce global abatement costs. It is worth noting that abatement costs vary widely across regions under different policy and technology scenarios.

This paper discusses the role and relevance of the shared socioeconomic pathways (SSPs) and the new scenarios that combine SSPs with representative concentration pathways (RCPs) for climate change impacts, adaptation, and vulnerability (IAV) research. It first provides an overview of uses of social-environmental scenarios in IAV studies and identifies the main shortcomings of earlier such scenarios. Second, the paper elaborates on two aspects of the SSPs and new scenarios that would improve their usefulness for IAV studies compared to earlier scenario sets: (i) enhancing their applicability while retaining coherence across spatial scales, and (ii) adding indicators of importance for projecting vulnerability. The paper therefore presents an agenda for future research, recommending that SSPs incorporate not only the standard variables of population and gross domestic product, but also indicators such as income distribution, spatial population, human health and governance. © Springer Science+Business Media Dordrecht 2013.

Energy security is one of the main drivers of energy policies. Understanding energy security implications of long-term scenarios is crucial for informed policy making, especially with respect to transformations of energy systems required to stabilize climate change. This paper evaluates energy security under several global energy scenarios, modeled in the REMIND and WITCH integrated assessment models. The paper examines the effects of long-term climate policies on energy security under different assumptions about GDP growth and fossil fuel availability. It uses a systematic energy security assessment framework and a set of global and regional indicators for risks associated with energy trade and resilience associated with diversity of energy options. The analysis shows that climate policies significantly reduce the risks and increase the resilience of energy systems in the first half of the century. Climate policies also make energy supply, energy mix, and energy trade less dependent upon assumptions of fossil resource availability and GDP growth, and thus more predictable than in the baseline scenarios.

Many papers have shown that bioenergy and land-use are potentially important elements in a strategy to limit anthropogenic climate change. But, significant expansion of bioenergy production can have a large terrestrial footprint. In this paper, we test the implications for land use, the global energy system, emissions and mitigation costs of meeting a specific climate target, using a single fossil fuel and industrial sector policy instrument, but with five alternative bioenergy and land-use policy architectures. These scenarios are illustrative in nature, and designed to explore trade-offs. We find that the policies we examined have differing effects on the different segments of the economy. Comprehensive land policies can reduce land-use change emissions, increasing allowable emissions in the energy system, but have implications for the cost of food. Bioenergy penalties and constraints, on the other hand, have little effect on food prices, but result in less bioenergy and thus can increase mitigation costs and energy prices.

Peacebuilding countries are concentrated in areas of heightened vulnerability to climate change impacts, and almost certainly lack the capacity to manage these impacts. In spite of this overlap, climate change adaptation and mitigation projects are typically excluded from peacebuilding activities. This is particularly alarming given that many analysts believe climate change will trigger, amplify or perpetuate humanitarian crises, population displacement, political extremism and violent conflict in the regions in which most peacebuilding operations take place. This paper investigates opportunities for integrating climate change into peacebuilding. It identifies three obstacles to this integration—the lack of climate change tools and policies that can be easily introduced into typical peacebuilding programming; the skepticism and complacency of the donor community; and tensions between the objectives and timeframes of peacebuilding and those of climate change response. The paper then examines opportunities to integrate climate change into four principal programmatic areas of peacebuilding—socio-economic recovery, politics and governance, security and rule of law, and human rights—and concludes that more attention needs to be given to these opportunities in order to build resilience and reduce the likelihood of more daunting and costly challenges in the future.

Addressing the challenges of global warming requires interventions on both the energy supply and demand side. With the supply side responses being thoroughly discussed in the literature, our paper focuses on analyzing the role of end use efficiency improvements for Indian climate change mitigation policy and the associated co-benefits, within the integrated assessment modeling framework of Global Change Assessment Model (GCAM). Six scenarios are analyzed here in total- one no climate policy and two climate policy cases, and within each of these one scenario with reference end use energy technology assumptions and another with advance end use energy technology assumptions has been analyzed. The paper has some important insights. Final energy demand and emissions in India are significantly reduced with energy efficiency improvements, and the role of this policy is important especially for the building and transportation sector under both reference and climate policy scenarios. Though energy efficiency policy should be an integral part of climate policy, by itself it is not sufficient for achieving mitigation targets, and a climate policy is necessary for achieving mitigation goals. There are significant co-benefits of energy efficiency improvements. Energy security for India is improved with reduced oil, coal and gas imports. Significant reduction in local pollutant gases is found which is important for local health concerns. Capital investment requirement for Indian electricity generation is reduced, more so for the climate policy scenarios, and finally there are significant savings in terms of reduced abatement cost for meeting climate change mitigation goals.

There is a growing concern that countries should reduce their dependence on fossil fuels for electricity generation and look to other cleaner technologies. Hydroelectricity is one such option. However, given that hydropower is dependent on rainfall and associated runoff for power generation, it is susceptible to both the positive and negative impacts of climate change, such as increases in temperature and changes in precipitation and runoff. In this paper, impacts on hydropower generation have been organised as either changes in long-term trends or short-term variability and shocks. These impacts could either manifest themselves as direct impacts on hydropower generation potential or as indirect impacts (or ancillary impacts) such as increased competition for water. Citing examples from around the world, this paper investigates the scale of these projected impacts, and the potential cost implication of inaction. It concludes by making recommendations for possible adaptive options to build resilience in response to local impacts. © 2013 Springer Science+Business Media Dordrecht.

This paper provides an overview of climate change impacts on tribal water resources and the subsequent cascading effects on the livelihoods and cultures of American Indians and Alaska Natives living on tribal lands in the U.S. A hazards and vulnerability framework for understanding these impacts is first presented followed by context on the framework components, including climate, hydrologic, and ecosystem changes (i.e. hazards) and tribe-specific vulnerability factors (socioeconomic, political, infrastructural, environmental, spiritual and cultural), which when combined with hazards lead to impacts. Next regional summaries of impacts around the U.S. are discussed. Although each tribal community experiences unique sets of impacts because of their individual history, culture, and geographic setting, many of the observed impacts are common among different groups and can be categorized as impacts on—1) water supply and management (including water sources and infrastructure), 2) aquatic species important for culture and subsistence, 3) ranching and agriculture particularly from climate extremes (e.g., droughts, floods), 4) tribal sovereignty and rights associated with water resources, fishing, hunting, and gathering, and 5) soil quality (e.g., from coastal and riverine erosion prompting tribal relocation or from drought-related land degradation). The paper finishes by highlighting potentially relevant research questions based on the five impact categories.

The freight and logistics sector is of significant importance as an enabler and driver of the global economy, but it is also inherently vulnerable to hazardous weather. Despite this, there is currently no quantitative assessment of how climate change may affect the sector. This paper applies multidisciplinary climate change impact assessment tools and conceptual frameworks to the road freight sector of Great Britain in order to identify potential future weather-related safety issues. Relationships between weather and freight accidents are determined using road accident data and meteorological observations, which are then used with climate change scenarios to arrive at projections of possible impacts across the regions of Great Britain. Included in the study are industry perceptions of future trends within the sector and wider economy which many affect freight’s exposure and sensitivity to weather. These are elicited through interviews and an iterative expert Delphi study. Hence, unlike many other climate change impact assessments, this innovative study takes into account the potentially significant impact of socio-economic change (including institutional and operational). The results show that summer precipitation and winter ice-related accidents are likely to decrease across most of the country, whereas winter rain-related accidents are projected to increase. However, it is postulated that some of the impacts of climate change will be modified by reflexive behavioural change on the part of the driver and either institutional adaptation or complacency on the part of the road authorities. The paper concludes by framing the study in a range of future scenarios outlining how the socio-economic environment could influence the road transport network and how it is used, modifying the impact of climate change.

This paper assesses three key energy sustainability objectives: energy security improvement, climate change mitigation, and the reduction of air pollution and its human health impacts. We explain how the common practice of narrowly focusing on singular issues ignores potentially enormous synergies, highlighting the need for a paradigm shift toward more holistic policy approaches. Our analysis of a large ensemble of alternate energy-climate futures, developed using MESSAGE, an integrated assessment model, shows that stringent climate change policy offers a strategic entry point along the path to energy sustainability in several dimensions. Concerted decarbonization efforts can lead to improved air quality, thereby reducing energy-related health impacts worldwide: upwards of 2–32 million fewer disability-adjusted life years in 2030, depending on the aggressiveness of the air pollution policies foreseen in the baseline. At the same time, low-carbon technologies and energy-efficiency improvements can help to further the energy security goals of individual countries and regions by promoting a more dependable, resilient, and diversified energy portfolio. The cost savings of these climate policy synergies are potentially enormous: $100–600 billion annually by 2030 in reduced pollution control and energy security expenditures (0.1–0.7 % of GDP). Novel aspects of this paper include an explicit quantification of the health-related co-benefits of present and future air pollution control policies; an analysis of how future constraints on regional trade could influence energy security; a detailed assessment of energy expenditures showing where financing needs to flow in order to achieve the multiple energy sustainability objectives; and a quantification of the relationships between different fulfillment levels for energy security and air pollution goals and the probability of reaching the 2 °C climate target.

Policy makers are still struggling to find a rational and effective way to handle adaptation to climate change. This paper discusses a more strategic, economic approach to public adaptation and compares it with adaptation practice in Europe. An economic approach to adaptation involves setting priorities, both spatially (where to adapt) and inter-temporally (when to adapt). The paper reviews what we know about Europe's geographic adaptation priorities. On inter-temporal priorities, it recommends fast-tracking two types of action: Win-win measures that yield an immediate return, such as water efficiency, and strategic decisions on infrastructure and spatial planning that have long-term consequences for Europe's vulnerability profile. An economic approach to adaptation involves careful project design to ensure adaptation measures are cost-effective and flexible in the light of climate uncertainty (how to adapt). The final element of an economic approach to adaptation is the division of labour between the state and private actors (who should adapt). The paper argues that the traditional functions of the state-the provision of public goods, creation of an enabling environment and protection of the vulnerable-also apply to adaptation.

This paper offers a critical review of modeling practice in the field of integrated assessment of climate change and ways forward. Past efforts in integrated assessment have concentrated on developing baseline trajectories of emissions and mitigation scenario analyses. A key missing component in Integrated Assessment Models (IAMs) is the representation of climate impacts and adaptation responses. In this paper, we identify key biases that are introduced when climate impacts and adaptation responses are omitted from the analysis and review the state of modeling studies that attempt to capture these feedbacks. A common problem in these IAM studies is the lack of connection with empirical studies. We therefore also review the state of the empirical work on climate impacts and identify ways that this connection could be improved.