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This paper presents a methodology for developing a social Cumulative Effects Assessment (CEA) which analyses the impacts of climate change on maritime crime and maritime insecurities. The use of a CEA methodology, including the use of the Effect to Impact Pathway will enable mapping the relationships between certain ‘Activities’ (e.g. human-induced emissions of greenhouse gasses), the ‘Pressure’ engendered (e.g. warming sea temperatures) and their ‘Impacts’ (e.g. food shortages) via ‘Receptors’ (e.g. fishing communities) on specific sectors of society (in this case maritime migration and maritime crime, e.g. illegal fishing). This paper provides a Proof of Concept (PoC) for using such a methodology and shows the applicability of a multidisciplinary approach in understanding causal chains. In this PoC, the authors are generating a Non-Geographic Assessment Map that investigates the ‘Impacts’ that the human-induced greenhouse gas emissions have on maritime security. The proposed analytical tool can then be applied in further studies to assess the dependencies and synergies between climate change and the occurrence of maritime insecurity. [ABSTRACT FROM AUTHOR]

The Paris Agreement created an institutionalized role for non-state actors through voluntary cooperation. Many international NGOs (INGOs) are particularly active in these "Paris partnerships," often working with multinational corporations to reduce emissions and promote decarbonization. Though there is ample work on both the effectiveness of the Paris partnerships and on the role of INGOs in the global climate regime, much of this work focuses "outward" – on how INGOs contribute to climate mitigation and adaptation, or influence norms, discourse and policy. Yet, there is considerably less work that focuses "inward" – examining who INGOs work with in order to achieve their policy goals. This paper provides a descriptive analysis of key INGOs in the United Nations Framework Convention on Climate Change (UNFCCC) process, as a first step in a larger research agenda to understand the incentives and opportunities that drive INGO behavior. Specifically, it uses network analysis to identify the "climate establishment" – which I define as the insider INGOs working within the multilateral process and with large corporations to influence rulemaking, soft law and firm behavior. Measures of network centrality demonstrate that two INGOs – WWF and the World Resources Institute – are by far, the most authoritative members of the climate establishment. They participate in the largest number of partnerships, and have "important" friends, as measured by eigenvector centrality. The data also indicate that the climate establishment sees carbon pricing as a key strategy, and it often cooperates with banks that are large funders of fossil fuel projects. The descriptive analysis of the climate establishment and its partners raises important questions for future research about why INGOs choose to partner with F100 companies, and how such cooperation might influence INGO behavior. [ABSTRACT FROM AUTHOR]

Graduate students can face difficulties collaborating across disciplines and outside of academia. Stakeholder-engaged research (i.e., research involving partners outside of academia) presents challenges for developing a project, finding collaborators, and co-creating knowledge. Past reflections on how to navigate stakeholder-engaged research assume a faculty member leads the project and do not often address implementation from a student-led approach. In this paper, we provide insight on our team science process from an applied, graduate student perspective. We reflect on the formation of our student team and the implementation of a tourism planning research project with community partners. We discuss challenges and focus on practical tips to overcome these challenges. Specifically, we include reflections on co-developing a research project, building authentic partnerships, negotiating power dynamics, and the role of institutional support. Lessons learned from this project can guide other graduate student teams working with stakeholders, as well as faculty seeking to train graduate students in stakeholder-engaged research. [ABSTRACT FROM AUTHOR]

Evidence of the health impact of climate change has been extensively documented in recent scholarly literature. In order to mitigate the adverse health effects induced by climate change, the need for conducting vulnerability assessments (VAs) has been emphasised. A higher vulnerability to climate change is often linked with substantial risks to human lives and built environment. Despite the potential of VAs in alleviating risks posed by climate change, only a limited amount of scholarly work in this domain has been conducted in the Indian context. The present research addresses this lacuna and contributes to the limited scholarship on climate change and health VAs in India. Drawing on the VA framework introduced by the fourth assessment report (AR4) of the Intergovernmental Panel on Climate Change (IPCC), this paper estimates district-level health vulnerabilities caused by climate change using multi-dimensional indices. The indices are multi-dimensional since they integrate 50 district-level indicators from 8 data sources for all 640 Census 2011 districts. The statistical technique of Principal Component Analysis (PCA) has been used for integrating the indicators. The findings of this paper indicate that nearly 56% of India’s population in 344 districts is highly vulnerable to the health impact of climate change. The results show that high vulnerability in certain districts is mediated by high adaptive capacity (AC). Since climate exposure varies across districts, the paper highlights the need for local-level responses and Complex Adaptive System (CAS) thinking to understand the implications of climate change and human health. [ABSTRACT FROM AUTHOR]

This paper explores the operationalization of climate-related indicators in violent conflict research. The climate-conflict narrative gained traction in recent decades and climate change is often referred to as a 'threat multiplier' by both policy makers and scholars. Yet, the relationships between climate-related phenomena and violent conflict are complex and context-specific. However, limited attention has been given to the climatic indicators applied in climate-conflict research. This paper addresses that gap by analyzing 32 studies published from 2004 to 2020 on the operationalization of climatic indicators and their relationship with violent conflict. It first categorizes climate indicators operationalization into five clusters: natural disasters, basic climate variability, advanced climate variability, freshwater availability, and the ENSO. The study evaluates the climate indicators for each cluster and shows that at an aggregate level these clusters examine 68 different climate representations. When paired with their respective conflict types, it finds a total of 113 climate-conflict combinations. Most operationalizations represent various forms of climate-related phenomena and variability rather than climate change. Some indicators are advancements over time, for example moving from changes in average rainfall to standardized precipitation indices. However, other indicators refer to various natural processes, making it challenging to determine whether climatic variability impacts conflict. The paper then demonstrates a discrepancy between the pathways through which climate may affect violent conflict and the representation of these pathways in the selected climate indicators. It discusses how the selection and operationalization of climate indicators requires careful consideration, and the phenomena researched should be well-specified in research findings. [ABSTRACT FROM AUTHOR]

This paper examines various studies on weather and climate extreme events (WCEE) to identify thematic trends and research gaps and suggest directions for further studies. The review identifies 14 subthemes and 23 research focuses, that address impacts and issues in the pre-, during-, and post-disaster phases. Using a matrix of WCEE dimensionality and content matrix analysis, we analyze the distribution and research focus of these studies, revealing areas with both extensive and limited research. While significant literature exists on certain WCEE subthemes, with a strong focus on damage assessment, spatial extent, losses, and disaster management approaches, only a limited number of studies have explored crucial areas such as risk prediction, urban planning, water quality, urban resilience, and public health dimensions. These areas are vital for effective disaster risk reduction. To bridge the knowledge gaps in these areas and other areas with multi-dimensional outlooks within the context of WCEE, we recommend prioritizing research in these subthemes. Our findings underscore the importance of interdisciplinary collaboration and the need for additional research to enhance our understanding of WCEE. Through evidence-based strategies, policymakers and practitioners can develop measures to enhance resilience and mitigate the impacts of WCEE. [ABSTRACT FROM AUTHOR]

The widespread demand for animal-sourced foods poses challenges in addressing climate change due to their significant greenhouse gas emissions. Alternative proteins like cultured meat show promise with lower greenhouse gas emissions, but have faced public resistance, posing substantial barriers to their broad development and adoption. This paper reports a survey that examined the perceived naturalness of protein sources as an important factor that predicts perceived risks, benefits, and support for consumption. A diverse sample from the United States considered six different protein technologies, including three newer alternative proteins such as cultured meat and three more conventional proteins. Newer alternative proteins were perceived as less natural and were less supported than conventional proteins. Additionally, the more participants perceived protein sources as natural, the less risky and more beneficial they perceived them to be, contributing to their support. These results suggest that perceived naturalness, and associated risks and benefits, could be an important factor in shaping public support for or opposition to new proteins. These findings have theoretical and broader implications for the development and adoption of sustainability technologies. [ABSTRACT FROM AUTHOR]

The purpose of the present paper is to examine a selection of macro- and micro-linguistic features (at text and sentence/word level respectively) of the South-African Green Paper 'National Climate Change Response' from 2010. Our overarching assumption is that the Green Paper needs to handle competing interests, beliefs and voices in a narrative structure favouring specific courses of action. How does the government portray the complex natural and societal phenomenon of climate change, and how does it take into account the many and often competing national and international views and interests which come into play? Our hypothesis is that the Green Paper constructs a narrative and that it relates to a number of voices other than that of the authors, through linguistic markers of polyphony, such as negation, sentence connectives, adverbs and reported speech. Thus we propose a narrative and polyphonic analysis of the Green Paper, at the level of the text as a whole (macro-level) but also with attention to linguistic constructions of polyphony or 'multi-voicedness' (micro-level). We find that the narrative-polyphonic properties of the Green Paper contribute to a strategy for building consensus on climate change policy. The South African government assumes the role of main hero in its own climate change 'story', and there are subtle forms of interaction with different and typically non-identified voices, such as concessive constructions and presuppositions. These results support our overarching interpretation of the whole document as striving to impose a South African consensus on the issue of climate change. [ABSTRACT FROM AUTHOR]

This paper presents the results of a detailed review of the research literature on how nomadic pastoralists are being affected by climate change, how they are adapting, and challenges with using traditional knowledge in adaptation. It focuses on research that investigates local, and particularly traditional, knowledge of water, pasture, their variability, and livestock. This knowledge underpins nomadic livelihoods, so is a foundation for effective adaptation. Changes in the total amount of precipitation, and particularly shifts in its timing, and increases in the frequency and intensity of extreme events, are having the greatest impacts on herding livelihoods. Herders in drylands worldwide face common adaptation challenges: declining traditional water sources and pasture degradation. Herders' adaptation strategies fall into five major categories: movement to areas with better water and pasture, improving seasonal access to water, improving seasonal access to feed, shifts in herd composition, and livelihood diversification. Movement is central to nomads' adaptation, yet, as climate change takes hold, restrictions on movement are increasing for both socio-economic reasons and climate reasons. Many papers emphasised the importance of combining traditional knowledge and current science to guide adaptation decision-making at household, locality, and national levels. There is widespread concern about the decline in traditional knowledge. All the papers reviewed emphasised the need to support passing on traditional know-how. Herder women's know-how, in particular, is marginalised in the research literature, so their traditional knowledge should be a focus in further research. Herders' adaptations are mostly localised, incremental, and have a relatively short-term focus. As nomadic pastoralism moves further outside the range of historical experience, the possibility of more profound transformations looms. [ABSTRACT FROM AUTHOR]

Climate action-based assumptions and tradable characteristics underpinned the development of climate change futures contracts, which are related to carbon and climate markets. Therefore, this paper examines return and volatility spillover between climate change futures and carbon allowance futures using dynamic conditional correlation (DCC) and asymmetric dynamic conditional correlation (ADCC) models with daily and weekly frequency data. Considering the emergence of US market-based carbon futures and climate futures, this study explores bivariate optimal hedging strategies and optimal portfolio strategies. Using daily data, this study discovers unidirectional and positive return and volatility spillover from the carbon futures market to the climate change futures market, implying opportunities for diversification and hedging. The weekly analysis shows bidirectional and negative return spillover between the carbon futures market and the climate change futures market, implying opportunities for risk hedging. In addition, it also reveals unidirectional and positive volatility spillovers from the carbon futures market to the climate change futures market. The carbon market dominates the climate change futures market. The study also reveals that optimal portfolio strategies will be preferred over optimal hedging strategies. Therefore, this study offers practical implications for investors and portfolio managers. [ABSTRACT FROM AUTHOR]

Critical scholars on power relations and climate change adaptation have highlighted the lack of community participation as a consequence of unbalanced power operations. Evidence about how unequal power relations and subject formation constrain public participation, however, is under-studied. In this paper, we utilised the intersection between community participation and the subjectivities lens to examine how a hierarchical political structure systematically operates to influence community engagement in adaptation and how and why local communities are included or excluded from adaptation as a result of subject-making, using Vietnam as a case study. Using 66 semi-structured interviews and ten focus group discussions involving policymakers, practitioners, local authorities, and communities, we examined how the key respondents stereotyped local roles and capacity in agricultural adaptation activities. Applying content analysis, we found that the general population in Vietnam is often framed as lacking knowledge and capacity to respond to climate impacts. Reflected through a traditional government-led model in two agricultural adaptation projects, the study showed that subtle but pervasive subjectivities and subject-making processes constrain community participation by affecting perceptions and, subsequently, actions of key stakeholders, undermining local roles and capacity in undertaking adaptation. These perpetuate the power imbalance between local communities and government entities. The findings contribute to the prevailing scholarship of climate change adaptation that, under an authoritarian regime, local capacity is undermined not only by powerholders but also by community members as they consent to government decisions. [ABSTRACT FROM AUTHOR]

Does land security matter in climate change adaptation strategies choice? To provide answers to this, the paper used a survey data collected from a random sample of 341 agricultural households in 2020 in Benin. Descriptive statistics and multivariate probit model were used to analyze the data. The main adaptations strategies identified are adjustment in sowing time, tree planting, crop and livestock integration, use of irrigation, use of improved variety, and endogenous beliefs, while family land, own land and rented land are the types of land tenure arrangements. Results from a multivariate probit model show that the use of family land increases the likelihood of planting tree, crop and livestock integration, use of improved variety, and endogenous beliefs. Farmers using own land are more likely to adopt tree planting and endogenous beliefs as adaptation strategies, while they are less likely to adopt irrigation. The use of rented land increases the likelihood of adjusting the sowing time, crop and livestock integration, use of irrigation, use of improved variety, and use of endogenous beliefs. These findings suggest that the choice of adaptation strategies to cope with climate change depends on the type of land tenure arrangements. [ABSTRACT FROM AUTHOR]

Existing studies have shown that climate change has important implications for residential electricity consumption, yet how responses to climate vary between rural and urban residents, and more importantly, the roles of electricity pricing regimes in determining such responses remain largely unknown. In this paper, we explore these issues using monthly data in Anhui province in China. Our results suggest that on average rural residents are more sensitive to cooling degree days (CDD) than urban counterparts (0.19% vs 0.08% increase in electricity consumption per unit increase in CDD). Additionally, households who adopt the time of use (TOU) pricing regime tend to be less responsive to temperatures than households choosing tiered pricing regimes (TPHE). Substantial increases in electricity demand induced by climate change are expected in the future. With the pessimistic RCP8.5 scenario, our results suggest an increase of 35.5% and 77.1% in electricity demand respectively for the urban and rural residents in the 2080s relative to 2017. [ABSTRACT FROM AUTHOR]

Human health in Odisha is directly vulnerable to climate change in the form of mortality as a result of climate-induced natural disasters (CINDs) and heatwaves. More frequent and intensified CIND has become an inevitable part of the state and its impact on human health has been detrimental. The magnitude of the impact of climate change on human health depends on the vulnerability and adaptation approaches of the state. The objectives of the paper are to study the changing pattern of climatic variability over 20 years in the state and to analyze the direct impact of climate change on human health in Odisha. Linear trend analysis is performed for annual average, pre-monsoon, monsoon, and post-monsoon rainfall as well as annual maximum and minimum temperature and for the heatwave period to show the changing pattern of climate in the state over 20 years. Regression analysis is performed between the indexed value of vulnerability and adaptation coefficients considered in the study as independent variables and mortality due to CIND as the dependent variable to analyze the impact of climate change on human health in the state. Also, correlation analysis is conducted to show the association between heatwave mortality and the maximum temperature of the heatwave period. The rainfall trend of the state for 20 years from 2000 to 2020 is found to increase in pre-monsoon and post-monsoon periods, while the annual average rainfall of the state for 20 years is slightly increasing and the monsoon period rainfall has remained consistent throughout the years. The annual maximum and minimum temperature and the heatwave period are found to be increasing. The regression analysis has shown a significant positive relationship between vulnerability coefficients and mortality as a direct impact of CIND on human health, whereas adaptation coefficients exhibit negative relation with it. Also, there is a moderate but significant association between the maximum temperature of the heatwave period with heatwave mortality. Odisha has been vulnerable to climate change during 2000–2020 as indicated by the high vulnerability score compared to the adaptation score for each year. However, years with better adaptive approaches, having high adaptive index scores, experienced less human mortality even with high vulnerability scores. [ABSTRACT FROM AUTHOR]

The Central American Dry Corridor (CADC) is among the most climate-vulnerable regions worldwide. Climate change, commonly referred to as a “threat multiplier” of pre-existing socioeconomic issues, already undermines rural livelihoods by reducing agricultural yields and income opportunities. This paper provides a review of climate-related migration in the CADC region while identifying the specific pathways by which climate change manifests itself as a threat multiplier to migration. Different forms of human mobility (seasonal/temporal/permanent and internal/international migration) are increasingly attempted as adaptation strategies by affected households to diversify incomes and offset climate impacts. Preferred intra-regional migrant destinations tend to be less climate-vulnerable and also less violent. Notably, climate change is not isolated from socioeconomic and political migration drivers. Erosion of rural livelihoods reduces the costs of engaging in illicit coping strategies (e.g., illegal crop production) and simultaneously favours rapid urbanisation, which is linked to (forced) gang recruitment, primarily affecting the youth. These processes contribute to extraordinarily high violence levels, which are a major push factor for migration on their own, ultimately challenging state authority. Moreover, as outmigration from the region is projected to increase, the observed securitisation of borders, particularly along the USA-Mexico border and the Mexico-Guatemala border, while unfit to limit migration attempts, make migration more desperate and dangerous, allowing organised crime to step in and exploit migration as an economic undertaking. Thus, for the CADC, the depoliticised and simplistic narrative of migration serving as adaptation must be questioned. Policy coherence and state capacity for addressing climate-security-migration nexus challenges are critical needs. [ABSTRACT FROM AUTHOR]

In this paper, we study centennial trends of climate and snow cover within the Ossola valley, in the Western Italian Alps. We pursue different tests (Mann Kendall MK, bulk, and sequential/progressive MKprog, Linear Regression, also with change point detection, and moving window average MW) on two datasets, namely (i) dataset1, daily temperature, precipitation, snow depth for 9 stations in the area, during 1930–2018, and (ii) dataset2, snow depth and density, measured twice a month (from February 1st to June 1st) for 47 stations during 2007–2023. We also verify correlation with glacier retreat nearby. In dataset1, we highlight a positive trend for minimum temperature with MK, and Linear Regression. Using MKprog/MW, a negative change of snow cover depth, and duration starting from the late 1980s is found. In dataset2, despite the annual variability in snow cover and 2022–2023 winter drought, we assess the maximum snow water equivalent (SWE) to be delayed with respect to maximum snow depth at high altitude (over a month above 2.700 m a.s.l.), highlighting the effect of settling in decreasing snow depth during spring. We also present a formula linking through Linear Regression the Day of the Year of SWE peak to altitude, relevant to assess the onset of thaw season. Due to the high altitude of the stations, and the paradigmatic nature of the Ossola Valley, hosting Toce River, a main contributor to the Lake Maggiore of Italy, our results are of interest, and can be used as a benchmark for the Italian Alps. [ABSTRACT FROM AUTHOR]

Rapid adaptation is necessary to maintain, let alone expand, access to reliable, safe drinking water in the face of climate change. Existing research focuses largely on the role, priorities, and incentives of local managers to pursue adaptation strategies while mostly neglecting the role of the broader public, despite the strong public support required to fund and implement many climate adaptation plans. In this paper, we interrogate the relationship between personal experiences of household water supply impacts from extreme weather events and hazard exposure with individual concern about future supply reliability among a statewide representative sample of California households. We find that more than one-third of Californians report experiencing impacts of climate change on their household water supplies and show that these reported impacts differently influence residents’ concern about future water supply reliability, depending on the type of event experienced. In contrast, residents’ concern about future water supplies is not significantly associated with hazard exposure. These findings emphasize the importance of local managers’ attending to not only how climate change is projected to affect their water resources, but how, and whether, residents perceive these risks. The critical role of personal experience in increasing concern highlights that post-extreme events with water supply impacts may offer a critical window to advance solutions. Managers should not assume, however, that all extreme events will promote concern in the same way or to the same degree. [ABSTRACT FROM AUTHOR]

Climate change is likely to have significant impacts on the forestry sector in New Zealand. However, an understanding of how forest growers are reducing their risks from climate change impacts is still in its infancy. This paper applies the protection motivation theory to identify socio-psychological factors influencing forest growers' adaptation to climate change. This study presents the survey results from 60 forest growers who have the combined responsibility for managing more than 70% of New Zealand's plantation forests. We investigated whether their perceived response efficacy, self-efficacy and their understanding of response costs are predictors of their protective or adaptive measures. Based on our survey, risk reduction and risk spreading are the two types of protective measure frequently reported by the respondents to deal with climate risks. Consistent with the protection motivation theory, our findings show that respondents who are more likely to implement protective or adaptive measures if they perceive the threat severity to be high have high self-efficacy and resource efficacy, and exhibit low maladaptive responses such as evading and postponing behaviours. Furthermore, our findings also suggest that there is a low self-efficacy belief with strong maladaptive behaviour among the respondents that negatively influence their motivation to implement adaptation measures. This result provides guidance to policy makers, researchers and forest companies on how to make climate change adaptation efforts effective by considering the forest growers motivation to adapt to climate change. [ABSTRACT FROM AUTHOR]

Climate change impacts and their consequences are determined not only by the intensity and frequency of different climatic hazards but also by the vulnerability of the system, society or community exposed. While general agreement exists about the importance of assessing vulnerability to understand climate risks, there is still a tendency to neglect global and regional vulnerability patterns because they are hard to quantify, despite their value in informing adaptation, disaster risk and development policies. Several approaches to quantifying global vulnerability exist. These differ in terms of the indicators they use and how they classify countries or regions into vulnerability classes. The paper presents the structure of selected approaches and explores two indices in depth. The aim of this paper is to assess the level of agreement between selected international indicator-based assessments of vulnerability, at the level of climate regions. Results suggest that the two major global vulnerability assessments analysed largely agree on the location of the most and least vulnerable regions when these assessments are aggregated to a regional scale using the IPCC’s climate regions. The paper then discusses the robustness of the information derived and its usefulness for adaptation, disaster risk and development policies. Measuring progress towards reducing vulnerability to climate change and hazards is key for various agencies and actors in order to be able to develop informed policies and strategies for managing climate risks and to promote enabling conditions for achieving the SDGs and building resilience. [ABSTRACT FROM AUTHOR]

An integral part of the communications strategy for Working Group I (WGI) of the Intergovernmental Panel on Climate Change (IPCC) is to support its authors, in all geographical regions, to engage a diverse range of audiences with climate change. Building upon a Communications Handbook for IPCC authors and a bespoke photo library, both produced by Climate Outreach for WGI in 2018 ahead of the Special Report on Global Warming of 1.5C, this paper describes the findings of a global survey that gathered practical examples of efforts by WGI authors to engage non-specialist audiences around the world with climate change. A total of 107 survey responses from 44 countries were evaluated against a theoretical framework outlining key principles of effective public engagement drawn from the social science literature. Ideas for how climate scientists can enhance their communication efforts are discussed, illustrated with case studies drawn from the survey responses showing WGI authors using creative techniques to engage people with climate change, including in Senegal, Argentina, India, the Bahamas and Indonesia. This is followed by guidance for the IPCC on developing communications strategies in a way that gives climate scientists confidence to communicate their work and promotes evidence-based techniques. By critically reflecting on the communication practices within the IPCC’s global author network, the paper provides insights and recommendations on how to continue to strengthen the connection between the theory and practice of climate science communication. [ABSTRACT FROM AUTHOR]

Climate change is increasingly acknowledged as a fundamental risk to the stability of the financial system. The linkage between residential mortgage lending and local heatwave projections has hitherto received little attention in the climate finance discourse despite recognition of the detrimental effects of extreme heat on economic output measures. Through economic, demographic and other channels, future climate conditions can affect the housing market and, thus, the residential mortgage market. Moreover, the potential for contagion is high considering US residential mortgages’ key role in financial cycles and cross-border effects. First, our paper furthers conceptual and empirical understandings of the nexus between future extreme heat and lenders’ credit risk. Second, for the contiguous US states, we show that interest rates are higher and loan terms are shorter in areas forecast to experience a larger increase in the number of hot days over the coming decades after controlling for a range of factors. Rate spreads are higher still in areas where the number of hot days is projected to be extreme. It is lending from non-banks, rather than banks, that appears sensitive to the changing climate. [ABSTRACT FROM AUTHOR]

Climate models, by accurately forecasting future weather events, can be a critical tool in developing countermeasures to reduce crop loss and decrease adverse effects on animal husbandry and fishing. In this paper, we investigate the efficacy of various regional versions of the climate models, RCMs, and the commonly available weather datasets in Kenya in predicting extreme weather patterns in northern and western Kenya. We identified two models that may be used to predict flood risks and potential drought events in these regions. The combination of artificial neural networks (ANNs) and weather station data was the most effective in predicting future drought occurrences in Turkana and Wajir with accuracies ranging from 78 to 90%. In the case of flood forecasting, isolation forests models using weather station data had the best overall performance. The above models and datasets may form the basis of an early warning system for use in Kenya’s agricultural sector. [ABSTRACT FROM AUTHOR]

The last few years have seen an explosion of interest in extreme event attribution, the science of estimating the influence of human activities or other factors on the probability and other characteristics of an observed extreme weather or climate event. This is driven by public interest, but also has practical applications in decision-making after the event and for raising awareness of current and future climate change impacts. The World Weather Attribution (WWA) collaboration has over the last 5 years developed a methodology to answer these questions in a scientifically rigorous way in the immediate wake of the event when the information is most in demand. This methodology has been developed in the practice of investigating the role of climate change in two dozen extreme events world-wide. In this paper, we highlight the lessons learned through this experience. The methodology itself is documented in a more extensive companion paper. It covers all steps in the attribution process: the event choice and definition, collecting and assessing observations and estimating probability and trends from these, climate model evaluation, estimating modelled hazard trends and their significance, synthesis of the attribution of the hazard, assessment of trends in vulnerability and exposure, and communication. Here, we discuss how each of these steps entails choices that may affect the results, the common problems that can occur and how robust conclusions can (or cannot) be derived from the analysis. Some of these developments also apply to other attribution methodologies and indeed to other problems in climate science. [ABSTRACT FROM AUTHOR]

Climate change is widely recognized as a major risk to societies and natural ecosystems but the high end of the risk, i.e., where risks become existential, is poorly framed, defined, and analyzed in the scientific literature. This gap is at odds with the fundamental relevance of existential risks for humanity, and it also limits the ability of scientific communities to engage with emerging debates and narratives about the existential dimension of climate change that have recently gained considerable traction. This paper intends to address this gap by scoping and defining existential risks related to climate change. We first review the context of existential risks and climate change, drawing on research in fields on global catastrophic risks, and on key risks and the so-called Reasons for Concern in the reports of the Intergovernmental Panel on Climate Change. We also consider how existential risks are framed in the civil society climate movement as well as what can be learned in this respect from the COVID-19 crisis. To better frame existential risks in the context of climate change, we propose to define them as those risks that threaten the existence of a subject, where this subject can be an individual person, a community, or nation state or humanity. The threat to their existence is defined by two levels of severity: conditions that threaten (1) survival and (2) basic human needs. A third level, well-being, is commonly not part of the space of existential risks. Our definition covers a range of different scales, which leads us into further defining six analytical dimensions: physical and social processes involved, systems affected, magnitude, spatial scale, timing, and probability of occurrence. In conclusion, we suggest that a clearer and more precise definition and framing of existential risks of climate change such as we offer here facilitates scientific analysis as well societal and political discourse and action. [ABSTRACT FROM AUTHOR]

The objective of this paper is to analyze the impact of climate change adaptation strategies on maize productivity of farms focusing on gender differences. To do so, a selection model generalizing the Heckman (1979) approach and the Oaxaca and Blinder decomposition procedure are specified and estimated. The empirical analysis is based on intra-agricultural household data from the 2018 Harmonized Household Living Conditions Survey (EHCVM) of Togo with a total sample of 8622 maize plots disaggregated by seasonThe results reveal that the average maize productivity of men is about 23.5% higher than that of women. Similarly, the average maize productivity of married women is about 28.5% higher than that of unmarried women. This suggests that married men and women have greater adaptive capacity than their counterparts and are also more likely to improve their productivity. The factors that contribute to the performance of married men and women at the expense of their counterparts are secondary education, producer assets, and climate information. We also find that the use of improved seeds, off-season cropping, and a combination of both strategies are the types of coping strategies adopted by men and married women to increase their productivity. These results have implications for the direction of development policies. These development policies can be more targeted at unmarried women. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In this paper, we consider climate scepticism in the Russian context. We are interested in whether this has been discussed within the social scientific literature and ask first whether there is a discernible climate sceptical discourse in Russia. We find that there is very little literature directly on this topic in either English or Russian and we seek to synthesise related literature to fill the gap. Secondly, we consider whether Russian climate scepticism has been shaped by the same factors as in the USA, exploring how scientists, the media, public opinion, the government and business shaped climate scepticism in Russia. Climate scepticism in the USA is understood as a ‘conservative countermovement’ that seeks to react against the perceived gains of the progressive environmental movement, but we argue that this is not an appropriate framework for understanding Russian climate scepticism. Articulated within a less agonistic environment and situated within an authoritarian regime, Russian expressions of climate scepticism balance the environmental, political and economic needs of the regime under the constraints of a strong ‘carbon culture’ and closed public debate. [ABSTRACT FROM AUTHOR]

In this paper, U.S. landfalling tropical cyclone (TC) activity is projected for the late twenty-first century using a two-step dynamical downscaling framework. A regional atmospheric model, is run for 27 seasons, to generate tropical storm cases. Each storm case is -resimulated (up to 15 days) using the higher-resolution Geophysical Fluid Dynamics Laboratory hurricane model. Thirteen CMIP3 or CMIP5 climate change scenarios are explored. Robustness of projections is assessed using statistical significance tests and comparing changes across models. The proportion of TCs making U.S. landfall increases for the warming scenarios, due, in part, to an increases in the percentage of TC genesis near the U.S. coast and a change in climatological steering flows favoring more U.S. landfall events. The increases in U.S. landfall proportion leads to an increase in U.S. landfalling category 4–5 hurricane frequency, averaging about + 400% across the models; 10 of 13 models/ensembles project an increase (which is statistically significant in three of 13 models). We have only tentative confidence in this latter increase, which occurs despite a robust decrease in Atlantic basin category 1–5 hurricane frequency, no robust change in Atlantic basin category 4–5 and U.S. landfalling category 1–5 hurricane frequency, and no robust change in U.S. landfalling hurricane intensities. Rainfall rates, averaged within a 100-km radius of the storms, are projected to increase by about 18% for U.S. landfalling TCs. Important caveats to the study include low correlation (skill) for interannual variability of modeled vs. observed U.S. TC landfall frequency and model bias of excessive TC genesis near and east of the U.S. east coast in present-day simulations. [ABSTRACT FROM AUTHOR]

Cities in the USA and around the world have begun to take an active role in responding to climate change. A central requirement for effective urban climate strategies is the capacity to understand and measure how the climate is changing, the physical, environmental, and social impacts of the changes, and whether adaptation and resiliency policies and programs put in place in response are working. The objective of this paper is to review and assess how urban climate change and resiliency efforts can be measured and to define what might serve as meaningful indicator and monitoring protocols. The New York City Panel on Climate Change (NPCC) is used as a case study along with a reviews of the emerging literature of urban climate change indicators to analyze the requirements and processes needed for a successful urban climate resiliency indicator and monitoring (I and M) system. In the paper, the basic requirements of a proposed Urban Climate Resilience Indicators and Monitoring System are presented. A specific illustration of an I and M system for tracking the urban heat island highlights challenges as well as potential solutions embedded within such systems. Discussions how these protocols can be translated to other locales and settings, as well as the relationship to the US National Climate Assessment indicator process, are presented. [ABSTRACT FROM AUTHOR]

This article is part of a Special Issue on "National Indicators of Climate Changes, Impacts, and Vulnerability" edited by Anthony C. Janetos and Melissa A. Kenney Introduction Climate assessment efforts in the USA are a legally required and important process to share the state of knowledge about status and projected trends of climate changes and impacts and are used to support risk management decisions and policies (Jacobs et al. [11]). Contributions to this special issue The first paper in this special issue is I A framework for national climate indicators i (Kenney et al. [19]). In the first topical paper, I Toward an integrated system of climate change and human health indicators: a conceptual framework i (Liu et al. in preparation), the human health implications of climate change were explored to identify indicators. In I Indicators of climate change in agricultural systems i (Hatfield et al. [10]), the authors develop a conceptual framework that links the climate system to crop and livestock productivity as well as the impacts of land on other grassland and forest systems. [Extracted from the article]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Adaptation needs in high mountain communities are increasingly well documented, yet most efforts to address these needs continue to befall mountain people who have contributed little to the problem of climate change. This situation represents a contravention of accepted norms of climate justice and calls attention to the need for better understanding of prospects for externally resourced adaptation initiatives in high mountain areas. In response, this paper examines the architecture of formal adaptation support mechanisms organized through the United Nations Framework Convention on Climate Change (UNFCCC) and how such mechanisms might help to meet adaptation needs in high mountain communities. It outlines key global adaptation initiatives organized through the UNFCCC, clarifies idealized linkages between these global adaptation initiatives and meeting local adaptation needs, and evaluates actual progress in connecting such support with discrete adaptation needs in the upper Manaslu region of Nepal. The paper then critically examines observed shortcomings in matching adaptation support organized through the UNFCCC with local adaptation needs, including complications stemming from the bureaucratic nature of formal adaptation support mechanisms, the intervening role of the state in delivering aid, and the ways in which these complexities intersect with the specific socio-cultural contexts of mountain communities. It concludes by highlighting several prospects for increasing the quantity and quality of adaptation support to mountain communities. These opportunities are considered alongside several salient concerns about formal adaptation support mechanisms in an effort to provide a well-rounded assessment of the prospects for planned adaptations in high mountain communities. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In 2013, the Arctic Athabaskan Council representing the Arctic Athabaskan peoples filed a petition to the Inter-American Commission on Human Rights. The Council sought relief for violations of their rights resulting from rapid Arctic warming and melting caused by emissions of black carbon by Canada. The aim of the paper is to show legal complaints and arguments of a particular indigenous people, Arctic Athabaskans—arguments intended to enforce Canada's obligation to reduce or eliminate black carbon emissions, which negatively affect numerous rights of indigenous Athabaskans. Additionally, the article will point to the new legal developments and potential success of those arguments and litigation itself. The article analyses issues at the intersection of human rights, indigenous peoples and climate change. The concluding remarks attempt to answer the research questions and offer some reflections on the potential to protect indigenous peoples' rights offered by this type of advocacy strategy and, more specifically, the petition in particular. The research method adopted is that of legal-institutional analysis as well as content analysis of relevant literature (analysis of the discourse). This paper moves forward existing climate litigation literature which focuses on human rights. As Osofsky and Peel (2018) highlight, human rights-based climate litigation is a new development in the field, and this paper expands it further. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Effective strategies to learn about and engage with climate change play an important role in addressing this challenge. There is a growing recognition that education needs to change in order to address climate change, yet the question remains "how?" How does one engage young people with a topic that is perceived as abstract, distant, and complex, and which at the same time is contributing to growing feelings of sadness, hopelessness, and anxiety among them? In this paper, I argue that although the important contributions that the arts and humanities can make to this challenge are widely discussed, they remain an untapped or underutilized potential. I then present a novel framework and demonstrate its use in schools. Findings from a high school in Portugal point to the central place that art can play in climate change education and engagement more general, with avenues for greater depth of learning and transformative potential. The paper provides guidance for involvement in, with, and through art and makes suggestions to create links between disciplines to support meaning-making, create new images, and metaphors and bring in a wider solution space for climate change. Going beyond the stereotypes of art as communication and mainstream climate change education, it offers teachers, facilitators, and researchers a wider portfolio for climate change engagement that makes use of the multiple potentials of the arts. [ABSTRACT FROM AUTHOR]

This paper deals with the earliest meteorological observations in Florence after the Medici Network (1654–1670), i.e., from mid-seventeenth to mid-eighteenth century, and puts them in the context of the history of meteorology in Florence. After the gap caused by the Inquisition, observations started again in the eighteenth century, made by Cipriano Antonino Targioni (1728–1748), Giovanni Targioni-Tozzetti (1737–1740), Pietro Gaetano Grifoni (1751–1766), Leonardo Ximenes (1752), and Luca Martini (1756–1772). The first two records were lost, and this paper considers those by Grifoni and Ximenes. The latter is affected by severe bias; the former is of good quality and has been recovered and analyzed. Both the observers made only one reading a day and the metadata are scarce. The paper discusses several issues: the conversion from the apparent solar time to the Central Europe Time; the transformation from a single reading to a daily average; the identification of the thermometric liquid and the scale; the test made with the snow benchmark; the comparison with the contemporary series in Bologna. The comparison of the reconstructed series with other periods, i.e., 1654–1670, 1881–1910, 1961–1990, and 1991–2017, reveals that in mid-eighteenth century the temperature reached the lowest levels, especially in summer, and showed a sudden warming in the most recent decades. [ABSTRACT FROM AUTHOR]

An important and under-quantified facet of the risks associated with human-induced climate change emerges through extreme weather. In this paper, we present an initial attempt to quantify recent costs related to extreme weather due to human interference in the climate system, focusing on economic costs arising from droughts and floods in New Zealand during the decade 2007–2017. We calculate these using previously collected information about the damages and losses associated with past floods and droughts, and estimates of the "fraction of attributable risk" that characterizes each event. The estimates we obtain are not comprehensive, and almost certainly represent an underestimate of the full economic costs of climate change, notably chronic costs associated with long-term trends. However, the paper shows the potential for developing a new stream of information that is relevant to a range of stakeholders and research communities, especially those with an interest in the aggregation of the costs of climate change or the identification of specific costs associated with potential liability. [ABSTRACT FROM AUTHOR]

Long instrumental records are fundamental to study climate changes, but their reliability and quality have to be checked before any statistical research. Moreover, when metadata are used to solve some problems, data interpretation may change and require further work to refine the series. A thorough revision of the three-century precipitation series in Padua (1713–2018) shows that the results of previous analyses were affected by serious biases. This paper clarifies key features concerning early instruments, exposure, relocation and observational protocols. The daily analysis pointed out a number of problems, bias, irregular sampling and underestimations that have passed unobserved so far. A comparison with the parallel series of Bologna and Venice made it possible to distinguish bias from the climate signal or to reconstruct missing data. The instrumental threshold was recognized to be fundamental to determine the frequency of precipitation, but less important with respect to its amount. This paper provides a methodological example to test the goodness of long instrumental series, in particular to identify problems related to metadata and observations, which is the preliminary step to perform a sound correction and obtain a reliable series. It also includes the set of original raw data, transformed into modern units. [ABSTRACT FROM AUTHOR]

The present study contributes to the literature on labour reallocation and adaptation in response to weather anomalies. Existing literature on labour mobility and weather shocks primarily focus on migration to the neglect of worker commuting as a potential adaptation strategy. Utilizing individual-level panel data from the Village Dynamics in South Asia (VDSA) dataset for the year 2010–2014, the present study explores the impact of weather anomalies on migration and commuting as well as participation and earnings in the non-agricultural sector. The fixed effects regression results show that negative temperature shocks induce a flow of labour outside the village through labour out-migration and longer-distance commutes. Temperature stress also negatively impacts non-agricultural earnings. The effects of temperature shocks are heterogeneous across the baseline climate of the villages suggesting evidence of adaptation to weather shocks. The study emphasizes the crucial role of labour mobility and adaptation in coping with weather shocks. The paper concludes with some policy suggestions. [ABSTRACT FROM AUTHOR]

Island communities are among the first and most adversely affected by the impacts of global climate change. Islands are vulnerable to climate change because of their isolated geography, large coastal areas, and low economic diversification. This paper presents a model-based evaluation of the macroeconomic impacts of climate change on the Blue Economy of southern European islands. We consider climate change impact chains on tourism, maritime transport, and electricity demand in a downscaled modeling framework for different climatic scenarios to the end of the century. Our findings show important economic losses in all climatic scenarios, yet economic damages under an RCP8.5 scenario more than doubled compared to a RCP2.6 pathway. Magnitudes of impacts vary across islands, depending on the level of economic diversification and geographic remoteness. The effects of climate change on the tourism sector are detrimental to the islandic economies, given the sector’s complex value chain and dominant position in value added. Similarly, increasing electricity demand for cooling and water desalination puts additional stress on the economy of the islands. [ABSTRACT FROM AUTHOR]

This paper examines how climate change adaptation impacts on farm productivity and the ability of households to accumulate assets in the context of a developing economy. We apply an endogenous switching regression to data obtained from 1440 farmers in Ghana. Our model, which accounts for endogeneity and selection bias, allows us to simultaneously determine the factors that influence maize farmers’ decision to adapt to climate change and the productivity and household assets that result from both adaptation and otherwise. We estimate an inverse relationship between rainfall and the decision to adapt to climate change. As expected, we find that access to information has a positive effect on the decision to adapt. Farms that benefit from adaptation do not become less productive with increases in temperature or rainfall. Overall, we find that farmers who adapt to climate change are more productive and have more household assets than their counterfactual. Farmers who do not adapt obtain less yield and have less household assets than their counterfactual. These findings have important implications for policy. [ABSTRACT FROM AUTHOR]

As the world's largest fossil fuels exporter, Russia is one of the key countries for addressing global climate change. However, it has never demonstrated any significant ambitions to reduce greenhouse gas (GHG) emissions. This paper applies ideational research methodology to identify the structural differences in economic, political, and social normative contexts between industrialized fossil fuel importing economies and Russia that lead to the fundamental gap in motivations driving decarbonization efforts. Russia is unlikely to replicate the approach to the green transition and climate policy instruments of energy-importing countries. In order to launch decarbonization in Russia, interested stakeholders need to frame climate policies in Russia differently. Specifically, the framing must address the priority of diversification as a means to adapting the national economy to a new green landscape, the combination of diverse channels for decarbonization, the promotion of energy-efficiency, closer attention to climate-related forest projects, and linkage of climate change with other environmental problems. Moreover, considering Russia's emissions as a part of the global economic system and shifting from a simplistic national focus on GHG emissions reduction would help coordinate policies through dialogue between exporters and importers of fossil fuel energy-intensive goods, which is essential for the global movement towards a net-zero future. [ABSTRACT FROM AUTHOR]

Attempts to clear the misinterpretation on the study done by Kirshen and Fennessey (KF) devoted to Climatic Change and Water Resources Planning Criteria. Water supply system of the Massachusetts Water Resources Authority; Total system demand of the KF study; Description on the KF scenario.

Despite the economic importance of the tourism sector and its close relationship to the environment and climate, substantial gaps remain in the investigation of climate change (CC) impacts on tourism. Unlike the increasing body of literature focusing on the variation in the climatic suitability of tourism destinations, this paper focuses on the impacts of CC on the provision of natural resources affecting the attractiveness of destinations. More specifically, the paper provides an economic measurement of climate-induced environmental changes on the coast of Mallorca (Spain), one of the Mediterranean's leading sun-and-beach destinations. A choice experiment is used to elicit the willingness to pay (WTP) of tourists for the introduction of policies aimed at reducing three climate-induced environmental changes. The estimated results show the positive WTP of tourists to reduce CC impacts and provide evidence of preference heterogeneity among individuals with different socioeconomic and travel characteristics. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Investments in climate-change adaptation will have to be made while the extent of climate change is uncertain. However, some important sources of uncertainty will fall over time as more climate data become available. This paper investigates the effect on optimal investment decision-making of learning that reduces uncertainty. It develops a simple real options method to value options that are found in many climate-change adaptation contexts. This method modifies a binomial tree model frequently applied to climate-change adaptation problems, incorporating gradual learning using a Bayesian updating process driven by new observations of extreme events. It is used to investigate the timing, scale, or upgradable design of an adaptation project. Recognition that we might have more or different information in the future makes flexibility valuable. The amount of value added by flexibility and the ways in which flexibility should be exploited depend on how fast we learn about climate change. When learning will occur quickly, the value of the option to delay investment is high. When learning will occur slowly, the value of the option to build a small low-risk project instead of a large high-risk one is high. For intermediate cases, the option to build a small project that can be expanded in the future is high. The approach in this paper can support efficient decision-making on adaptation projects by anticipating that we gradually learn about climate change by the recurrence of extreme events. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]