Climatic Change最新文献

In response to the catastrophic flooding that occurred in British Columbia, Canada in November 2021, the City of Merritt is facing a difficult decision about whether to rebuild or not. The developing situation in Merritt provided a unique opportunity to explore the different types of adaptations (i.e., investments in climate resilient infrastructure, rebuilding, construction of structural mitigation, zoning, and buyouts) considered by policymakers in advance of official municipal decisions. Through qualitative mixed methods (e.g., interviews, open houses, town council meetings), the study explored preliminary discussions among decision makers surrounding long term risk reduction options including rebuild and retreat strategies, perceptions of flood risk, recovery challenges faced by small-scale municipalities, the development of the community’s flood mitigation plan, and recommendations for post-disaster transitional supports. The results indicated that communities in the post-disaster recovery phase are considering the use of buyouts as a risk reduction tool amongst broader flood mitigation strategies, however policy constraints and a lack of funding are impeding the implementation of a flood mitigation plan that includes buyouts. The findings suggest that decisions about post disaster recovery are often independent of broader municipal climate change adaptation plans instead focusing on short-term risk reduction mechanisms. Additionally, transitional supports including interim housing need to be accounted for in recovery planning. Governments in Canada can capitalize on the policy windows during the post-disaster recovery stage and learn from municipalities about the challenges and opportunities in the design and implementation of flood mitigation plans that can help to improve disaster policy.

Abstract

Climate change is contributing to the rapid warming of mountain environments, resulting in glacial retreat, diminished snowpacks, and permafrost thaw. Such rapid changes have transformed the riskscape of mountaineering routes, altering climbing conditions and increasing objective hazards. In response, this study used a mixed methods approach that combines statistical climatological analysis with archival content analysis and semi-structured interviews with mountain guides to explore the relationship between climate change, route conditions, hazards, and adaptations in the Abbot Pass area of Banff National Park (Canada). Results revealed that long-term climatic shifts contributed to change in climbing conditions and objective hazards across all routes, creating a typology of climate-driven route evolution based on the original route characteristics. Mountaineers adapted to such change by employing spatial/activity and temporal substitutions to mitigate risks and exploit emergent opportunities. However, the use of such strategies was influenced by demographic (i.e., age, years of experience) and socio-cultural factors (i.e., place attachment, risk tolerance) and limited by hard limits to adaptation. Given the projected trajectory of climate change, our findings highlight the potential inevitability of mountaineers encountering such limits, resulting in forced transformations and significant loss and damages. Therefore, it is imperative to examine both the economic and non-economic consequences of these shifts and evaluate the ability of mountaineers and tourism providers to navigate a significantly transformed climate future in mountainous areas. While focused on a Canadian context, the findings and methodologies developed herein are relevant to other mountain geographies, where climate change is rapidly transforming environments frequented by mountaineers and represents a call to action for more research in field of climate change, adaptation, and mountaineering.

How will the increased frequency of coastal inundation events induced by sea level rise impact residential insurance premiums, and when would insurance contracts be withdrawn? We model the contribution of localised sea level rise to the increased frequency of coastal inundation events. Examining four Aotearoa New Zealand cities, we combine historical tide-gauge extremes with geo-located property data to estimate the annual expected loss from this hazard, for each property, in order to establish when insurance retreat is likely to occur. We find that as sea level rise changes the frequency of inundation events, 99% of properties currently within 1% AEP coastal inundation zones can expect at least partial insurance retreat within a decade (with less than 10 cm of sea level rise). Our modelling predicts that full insurance retreat is likely within 20–25 years, with timing dependent on the property’s elevation and distance from the coast, and less intuitively, on the tidal range in each location.

The Nile basin is the second largest basin in Africa and one of the regions experiencing high climatic diversity with variability of precipitation and deteriorating water resources. As climate change is affecting most of the hydroclimatic variables across the world, this study assesses whether historical changes in river flow and sediment loads at selected gauges in the Nile basin can be attributed to climate change. An impact attribution approach is employed by constraining a process-based model with a set of factual and counterfactual climate forcing data for 69 years (1951–2019), from the impact attribution setup of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a). To quantify the role of climate change, we use the non-parametric Mann-Kendall test to identify trends and calculate the differences in long-term mean annual river flow and sediment load simulations between a model setup using factual and counterfactual climate forcing data. Results for selected river stations in the Lake Victoria basin show reasonable evidence of a long-term historical increase in river flows (two stations) and sediment load (one station), largely attributed to changes in climate. In contrast, within the Blue Nile and Main Nile basins, there is a slight decrease of river flows at four selected stations under factual climate, which can be attributed to climate change, but no significant changes in sediment load (one station). These findings show spatial differences in the impacts of climate change on river flows and sediment load in the study area for the historical period.

Abstract

The 2006 United Nations report “Livestock’s Long Shadow” provided the first global estimate of the livestock sector’s contribution to anthropogenic climate change and warned of dire environmental consequences if business as usual continued. In the subsequent 17 years, numerous studies have attributed significant climate change impacts to livestock. In the USA, one of the largest consumers and producers of meat and dairy products, livestock greenhouse gas emissions remain effectively unregulated. What might explain this? Similar to fossil fuel companies, US animal agriculture companies responded to evidence that their products cause climate change by minimizing their role in the climate crisis and shaping policymaking in their favor. Here, we show that the industry has done so with the help of university experts. The beef industry awarded funding to Dr. Frank Mitloehner from the University of California, Davis, to assess “Livestock’s Long Shadow,” and his work was used to claim that cows should not be blamed for climate change. The animal agriculture industry is now involved in multiple multi-million-dollar efforts with universities to obstruct unfavorable policies as well as influence climate change policy and discourse. Here, we traced how these efforts have downplayed the livestock sector’s contributions to the climate crisis, minimized the need for emission regulations and other policies aimed at internalizing the costs of the industry’s emissions, and promoted industry-led climate “solutions” that maintain production. We studied this phenomenon by examining the origins, funding sources, activities, and political significance of two prominent academic centers, the CLEAR Center at UC Davis, established in 2018, and AgNext at Colorado State University, established in 2020, as well as the influence and industry ties of the programs’ directors, Dr. Mitloehner and Dr. Kimberly Stackhouse-Lawson. We developed 20 questions to evaluate the nature, extent, and societal impacts of the relationship between individual researchers and industry groups. Using publicly available evidence, we documented how the ties between these professors, centers, and the animal agriculture industry have helped maintain the livestock industry’s social license to operate not only by generating industry-supported research, but also by supporting public relations and policy advocacy.

We propose a comprehensive methodological approach to address uncertainties in building energy simulation (BES) studies within a climate change context. Drawing upon expertise from the climate community, our approach aims to improve the reliability of climate-dependent BES for sustainable building design studies. The methodology focuses on creating weather files that accurately retain the climate variability from CORDEX high-frequency climate data, and performing multiple BES (conducted with climatologies from various climate models and emissions scenarios) while removing the climate models biases. The robustness of the results is assessed through statistical analysis, and an uncertainty range is attributed to future energy demand estimations. This approach is illustrated using a representative prototype of a social house located in central-eastern Argentina. The evaluation specifically focuses on assessing the influence of climate change projections on cooling and heating energy demand. We systematically assessed uncertainties related to climate scenarios, seasonality, and building design sensitivity. Our exercise highlight that uncertainty levels rise with higher emissions scenarios. Within our case study, the cooling (heating) energy demand exhibits substantial variations, ranging from 27-37 (303-330) MJ/m² in a moderate emissions context to 51-70 (266-326) MJ/m² in a high emissions scenario. Notably, improvements in building efficiency correlate with reduced uncertainty and, in the context of higher emissions, the projected energy demand can range between 24-37 (201-243) MJ/m². Finally, a discussion is provided on the added value of the proposed methodology compared to solely utilizing a single climate projection file in BES, when uncertainties within climate projections remain unassessed.

Higher education institutions have a mandate to serve the public good, yet in many cases fail to adequately respond to the global climate crisis. The inability of academic institutions to commit to purposeful climate action through targeted research, education, outreach, and policy is due in large part to “capture” by special interests. Capture involves powerful minority interests that exert influence and derive benefits at the expense of a larger group or purpose. This paper makes a conceptual contribution to advance a framework of “academic capture” applied to the climate crisis in higher education institutions. Academic capture is the result of the three contributing factors of increasing financialization issues, influence of the fossil fuel industry, and reticence of university employees to challenge the status quo. The framework guides an empirical assessment evaluating eight activities and related indices of transparency and participation based on principles of climate justice and the growing democracy-climate nexus. The framework can be a helpful tool for citizens and academics to assess the potential for academic capture and capacity for more just and democratic methods of climate action in higher education. We conclude with a series of recommendations on how to refine and apply our framework and assessment in academic settings. Our goal is to further the discussion on academic capture and continue to develop tools that transform higher education institutions to places of deep democracy and innovative climate education, research, and outreach to meet the challenges of the Anthropocene.

Abstract

In the context of river basins, the threat of climate change has been extensively studied. However, many of these studies centred on hazard analysis while neglecting the need for comprehensive risk assessments that account for exposure and vulnerability. Hazard analysis alone is not adequate for making adaptive decisions. Thus, to effectively manage flood risk, it is essential to understand the elements that contribute to vulnerability and exposure in addition to hazard analysis. This study aims to assess flood risk (in space and time until the year 2100) for the agricultural system, in the White Volta Basin in northern Ghana. Employing the impact chain methodology, a mix of quantitative and qualitative data and techniques were used to assess hazard, exposure, and vulnerability. Multi-model climate change data (RCP 8.5) from CORDEX and observation data from the Ghana Meteorological Agency were used for hazard analysis. Data on exposure, vulnerability, and adaptation were collected through structured interviews. Results indicate that flood hazard will increase by 79.1% with high spatial variability of wet periods but the flood risk of the catchment will increase by 19.3% by the end of the twenty-first century. The highest flood risk is found in the Upper East region, followed by North East, Northern, Savannah, and Upper West for all four analysed periods. Adaptive capacity, sensitivity, and exposure factors are driven by poverty, ineffective institutional governance, and a lack of livelihood alternatives. We conclude that the region is highly susceptible and vulnerable to floods, and that shifting from isolated hazard analysis to a comprehensive assessment that considers exposure and vulnerability reveals the underlying root causes of the risk. Also, the impact chain is useful in generating insight into flood risk for policymakers and researchers. We recommend the need to enhance local capacity and foster social transformation in the region.

Abstract

Can moral appeals motivate individuals to choose less carbon-intensive diets? In a survey-embedded forced-choice conjoint experiment involving 1520 US respondents, we asked participants to compare two menus across six dimensions: (1) burger/sandwich patty type and its corresponding carbon footprint value, (2) calories, (3) protein, (4) price, (5) ingredient origin, and (6) farming method. Within each menu, the values for these dimensions varied randomly. Further, respondents were randomly assigned to three frames: a reference frame that highlighted the scientific rationale for pro-climate action, and treatment frames with a moral-secular and a moral-religious framing of pro-climate action. We found that moral appeals did not influence individuals to make low-carbon food choices. Across the entire sample, respondents tended to favor non-vegetarian options with higher carbon footprints. Those who prioritized taste were less inclined to choose the vegetarian menu. However, some subgroups did show a preference for the vegetarian menu, including women, those with pro-climate attitudes and prior exposure to a vegetarian diet, and those who considered the health impact of their food choices. In conclusion, it appears that moral appeals are unlikely to drive significant changes in individual food choices toward a more climate-friendly food system. Instead, dietary preferences are primarily shaped by individuals’ pre-existing climate attitudes and demographics.

The growing public awareness of climate risks and increased investments in climate adaptation may trigger resettlements, redistributing climate risks among population groups, and resulting in social consequences like segregation and gentrification. Previous studies have empirically examined the influences of climate risks on migrants’ destination choices, however, few have conducted research at the intra-municipal level, and even fewer have considered the associated social impacts. The research supplements empirical evidence on climate migration by examining the influence of climate risks on migrants’ destination choices within vulnerable municipalities. Specifically, we calibrated place-specific Bayesian Networks with migration data collected from four U.S. metropolitans with known climate risks. We then explained how climate risks influence migrants’ destination choices for the four study cases referring to the developed models. The modeling results reveal distinct main drivers influencing migrants’ choices of move-in neighborhoods across the study cases. In New Orleans, Louisana, high-elevation neighborhoods may experience gentrification due to the influx of educated migrants. In the other cases, the heterogeneous socio-demographic flows influenced by climate risks are likely to compound pre-existing injustices including social segregation and economic divide. The study contributes to the needing empirical evidence regarding the impact of climate risks on migration, which may exacerbate or raise social issues over the long term. The research findings also inform future climate adaptation efforts for building more inclusive receiving communities.