Sufficiency has gained prominence as a framework for designing mobility systems that respect planetary boundaries while ensuring wellbeing for all. Yet research on mobility sufficiency remains highly fragmented across disciplines and terminologies. This study provides the first large-scale, evidence-based mapping of mobility sufficiency policies by combining machine-learning techniques with qualitative, in-depth policy analysis. Using active learning screening across Scopus and Web of Science, we identify 18,138 publications engaging with ecological and social dimensions of mobility. A large language model extracts 71 policy measures from abstracts, along with their reported impacts on resource demand, emissions, accessibility, and equity. These quantitative patterns are complemented with a qualitative assessment of 483 representative papers selected through a cross-encoder relevance model, ensuring contextual depth and capturing heterogeneity in policy effects. Policies are classified into three categories - Sufficiency, Potential Sufficiency, and Not Sufficiency - based on their alignment with both limits of the sufficiency corridor: planetary boundaries and wellbeing for all. Seventeen policies, primarily related to spatial planning, active mobility, and public space reallocation, consistently avoid resource demand while improving accessibility and safety. Thirty-nine policies qualify as potential sufficiency but require equity safeguards, redistribution mechanisms, or structural adjustments to mitigate rebound effects, particularly in the case of economic incentives and technology-driven solutions. Fifteen policies do not meet sufficiency criteria, often increasing mobility demand or reinforcing inequalities. Overall, the findings underscore that sufficiency transitions depend primarily on structural transformations in urban form and accessibility rather than behavioural or technological fixes alone. Methodologically, this study demonstrates how machine learning and qualitative analysis can be integrated to systematically map sufficiency across large research corpora. The resulting policy catalogue provides a robust evidence base for scenario development and sufficiency modelling.
Abstract While social inequality limits the less affluent’s ability to support climate action, we develop a theoretical framework that analyzes how disadvantageous inequality aversion diminishes motivation for climate cooperation among the broader population. By clarifying how perceptions of disadvantage or social injustice can harm climate cooperation or produce backlash, we derive tailored countermeasures to enhance climate cooperation.
This article examines the choice between renovation and demolition and new building construction approaches for addressing aging school and preschool buildings in Sweden. This study aims to identify common reasons for implementing measures and to analyze the effectiveness and limitations of renovation to address these problems. This study identifies essential factors relevant to the management of these buildings that contribute to the benefits from a management perspective and assesses the extent to which these benefits are realized through renovation. Data were collected through qualitative interviews and questionnaires with municipal managers overseeing school and preschool buildings. The findings show that renovation is the most common approach, however, limitations exist in increasing capacity, achieving economies of scale, and fully improving poor indoor environments caused by structural issues. The results also showed that smaller municipalities struggle with a lack of economic resources to address problems in school and preschool buildings. Despite the higher costs per square meter, demolition and new construction are sometimes viewed as cost-effective alternatives, contributing to many of the identified benefits from a management perspective. This study provides valuable insights into the decision-making process between renovation and new construction, balancing building functionality with management needs.
The satellite remote sensing of Aerosol Optical Depth (AOD) products is crucial in environmental monitoring and atmospheric pollution research. However, data gaps in AOD products from satellites like Fengyun significantly hinder continuous, seamless environmental monitoring capabilities, posing challenges for the long-term analysis of atmospheric pollution trends, responses to sudden ecological events, and disaster management. This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. A comparison of five machine learning models showed that the random forest model performed optimally in AOD inversion, achieving a root mean square error (RMSE) of 0.11 and a coefficient of determination (R<sup>2</sup>) of 0.93. Seasonal evaluation further indicated that the model’s simulation was best in winter. Variable importance analysis identified relative humidity (RH) as the most critical factor influencing model results. The reconstructed full-coverage AOD product exhibited a spatial distribution trend of significantly higher values in the southern plain areas compared to mountainous regions, consistent with the actual aerosol distribution patterns in the Beijing–Tianjin–Hebei area. Moreover, the product demonstrated overall smoothness and high accuracy. This research lays the foundation for establishing a long-term, 1 km resolution, daily spatially continuous AOD product for the Beijing–Tianjin–Hebei region and beyond, providing more robust data support for addressing regional and larger-scale environmental challenges.
Laura H Schapiro, Mark A McShane, Harleen K Marwah
et al.
Introduction: Due to climate change, the frequency of heatwaves and extreme heat events (EHE) has increased over the last five decades and is expected to continue increasing. Methods: In this scoping review, we searched the literature for how EHEs and heatwaves impact pediatric health and how children can adapt to these threats. We used the PRISMA Extension for Scoping Reviews framework and searched several databases for studies pertaining to pediatric health, heatwaves, and EHEs. Results: The search generated 1719 studies that were screened by the authors. Ultimately, 113 studies were included in this review. We found that extreme heat exposure leads to a variety of adverse health outcomes in pediatric patients; some of the most notable are increased risks of adverse birth outcomes, including preterm birth and low birth weight. Extreme heat exposure was also associated with increased rates among children of emergency department visits, asthma exacerbations, heat illness, and impaired school performance. Conclusion: Children will continue to face the repercussions of extreme heat as global temperatures continue to rise. It is imperative that future research includes adaptation measures to help keep children healthy and safe during periods of extreme heat.
Public aspects of medicine, Meteorology. Climatology
Xiaoxuan Jiang, Neil J. Holbrook, Andrew G. Marshall
et al.
Abstract The variability and distribution of Australia’s summer rainfall are influenced by modes of climate variability on multi-week to multi-year time scales. Here, we investigate the role of the stratospheric quasi-biennial oscillation (QBO) and demonstrate that the QBO influences rainfall variations and extremes’ responses across large regions of Australia. We find the QBO modulates convective heating to the east of the Maritime Continent and over the central South Atlantic Ocean in the austral summer. The baroclinic response and barotropic structure of the extra-tropical Rossby wave train induces anomalous circulation that affects the distribution and amount of rainfall over Australia. Our analysis and findings of QBO teleconnections with the dynamics that drive Australia’s rainfall variability and extremes represents a pathway to improve our understanding of rainfall potential predictability and scope to extend Australia’s rainfall prediction lead times.
Abstract Coral reconstruction often serves as a major proxy of high-resolution sea surface temperature (SST) variability beyond the instrumental era. However, coral reconstructions are sparse and are usually studied for interannual variability, with few studies on the monthly features. In this study, we reconstruct the monthly SST spatial field by applying the paleoclimate data assimilation method to the coral records of the latest CoralHydro2k data set for the instrument period of 1880–2000. A comparison with observed SST variability shows that our assimilated tropical SST variability performs reasonably well for the seasonal cycle and monthly ENSO characteristics, notably the phase-locking and onset timing, and more realistic spatial fields relative to the model simulations. This study suggests the feasibility of applying paleoclimate data assimilation to reconstruct the monthly SST in the historical period.
The Qinghai-Tibetan Plateau (QTP) is the largest permafrost-covered area in the world, and it is critical to understand accurately and dynamically the cyclical changes in atmospheric aerosols in the region. However, due to the scarcity of researchers in this field and the complexity of analyzing the spatial and temporal dynamics of aerosols, there is a gap in research in this area, which we hope to fill. In this study, we constructed a new fusion algorithm based on the V5.2 algorithm and the second-generation deep blue algorithm through the introduced weight factor of light and dark image elements. We used the algorithm to analyze the spatial and temporal changes in aerosols from 2009–2019. Seasonal changes and the spatial distribution of aerosol optical depth (AOD) were analyzed in comparison with the trend of weight factor, which proved the stability of the fusion algorithm. Spatially, the AOD values in the northeastern bare lands and southeastern woodland decreased most significantly, and combined with the seasonal pattern of change, the AOD values in this region were higher in the spring and fall. In these 11 years, the AOD values in the spring and fall decreased the most, and the aerosol in which the AOD decreases occurred should be the cooling-type sulfate aerosol. In order to verify the accuracy of the algorithm, we compared the AOD values obtained by the algorithm at different time intervals with the measured AOD values of several AERONET stations, in which the MAE, RMSE, and R between the AOD values obtained by the algorithm and the measured averages of the 12 nearest AERONET stations in the QTP area were 0.309, 0.094, and 0.910, respectively. In addition, this study also compares the AOD results obtained from the fusion algorithm when dynamically weighted and mean-weighted, and the results show that the error value is smaller in the dynamic weighting approach in this study.
Emissions from wood-burning stoves contribute to local air pollution. However, it is difficult to determine the real emissions from such stoves, especially due to unknown user behaviour, which can have a large impact on emissions. In this study, the low-cost emission reduction measure “user training” was evaluated to determine its emission reduction potential on firewood stoves. Two sets of tests were carried out. First, a field measurement campaign was conducted in Styria (Austria) with four wood stoves, where gaseous and particulate emissions were measured before and after a user training on optimised heating behaviour (e.g. ignition mode, fuel properties and placement in the combustion chamber, air supply). Gaseous emissions (carbon monoxide – CO, organic gaseous compounds – OGC) were measured continuously, while particulates were measured in batches, in undiluted and hot as well as in diluted and cooled flue gas in parallel with a specific field measurement setup. In addition, particle filters were analysed to quantify the concentration of the carcinogenic compound benzo(a)pyrene (BaP). Second, user training workshops were conducted. These tests had a simple measurement setup in order to increase the number of tests. Thus, only CO emissions were evaluated.The results show that real life emissions in the field are high and have a high variability compared to laboratory tests and official type test results. However, user training showed a significant reduction of CO, OGC, TSP and BaP emissions of 42%, 57%, 45% and 76% (median), respectively. In addition, TSPsum (sum of hot and cooled particle emission samples) emissions decreased by 39% (median) after user training. The relative reduction rates of all batches show that the highest emission reduction potential was identified for BaP, with a reduction rate of up to 97%. The results of the workshop tests confirmed the high variability in user behavior and the range for the emission reduction potentials, with a median CO reduction of 41%.The emission reduction potential of the user training measure is comparable to state-of-the-art technological measures such as electrostatic precipitators and catalysts. However, these measures are costly and require a high level of technical sophistication. User training, on the other hand, is relatively cheap, easy to implement and suitable for all users. Of course, there is some risk that trained end-users will revert to their old habits, leading to higher emissions again. Therefore, regular training may be necessary to maintain the higher level of performance. As we did not assess this aspect in our work, further research would be needed to prove this theory.
Jerome Faure, Lauriane Mouysset, Fabrice Allier
et al.
There is limited knowledge on why farmers adopt pollinator-supporting practices, which is crucial to stimulate their adoption. The dependence of farmers on pollination may influence their perception of pollinators and their willingness to adopt these practices. We addressed why farmers adopt pollinator-supporting practices using a 2011 survey conducted within a cereal plain in western France, where farmers were moderately dependent on pollination for crops like oilseed rape and sunflower. We assessed the factors influencing the adoption of practices to promote pollination, including pollination dependence. We found no effect for pollination dependence. Conversely, we found that farm size, pesticide use, advisory services and the perception of costs decreased the willingness to adopt, while older farmers were more incline to adopt. We also evaluated perceptions related to pollinators: more than 85% of farmers considered bees important for crop production and recognized pesticides as a major cause of decline. We found no effect of pollination dependence on farmers’ perceptions. Compared to similar studies over the past decade, we found similarities, particularly regarding pollinator-related perceptions. Finally, we compared the willingness to adopt in 2011 with the actual adoption in 2024, showing that there has been little change. This raises questions on the pathways to promote the adoption of pollinator-supporting practices to ensure for the future of pollinator conservation.
In the current study, cryoconite samples were collected from six glaciers on the Tibetan Plateau to analyze n-alkanes and n-alkenes. The findings revealed that the concentrations of n-alkanes and n-alkenes varied from 40.1 to 496.1 μg g−1 and from 4.6 to 13.8 μg g−1, respectively. The carbon preference index of the long-chain n-alkanes ranged from 3.3 to 8.4, and the average chain length ranged from 28.7 to 29.3. Moreover, the δ13C of the n-alkanes in cryoconites were within the range of C3 plants, demonstrating that the n-alkanes in cryoconites were only derived from vascular plants. However, the δDmean were more negative than that of C3 plants, which could be caused by dry and humid conditions of glaciers. Unlike n-alkanes, n-alkenes ranged from C17:1 to C30:1 and showed a weak even-over-odd carbon number preference in the Dongkemadi, Yuzhufeng, Laohugou and Tianshan glacier, but a weak odd carbon preference in the Qiyi glacier. The n-alkenes in the YL Snow Mountains showed an obvious odd-over-even carbon number predominance from C17:1 to C22:1 with Cmax at C19:1, and the even-over-odd carbon number preference from C23:1 to C30:1 with Cmax at C28:1. This demonstrated that the n-alkenes of cryoconites may be mainly derived from in situ production in glaciers.
As an important weather extreme, gales greatly impact the air quality, agriculture, aviation, and renewable energy in North China. However, the spatial–temporal changes in gale events remain unknown in North China. In this study, using the ERA5 reanalysis with high spatiotemporal resolution and multi-model simulations from the Coupled Model Intercomparison Project Phase Six (CMIP6), we investigate the temporal changes, including daily, seasonal and decadal variations in gale events in North China between 1980 and 2021, and we project the changes in gale events in the mid and late 21st century under two shared socio-economic pathways (SSPs). The gale events show large spatial heterogeneity in frequency, with a high frequency of >25 days/year in central Inner Mongolia province, northern Hebei province, and northwestern Beijing. Over the past four decades, the gale events in North China have shown a decadal reversal, with a decrease between 1980 and 2006 and an increase between 2007 and 2014. Furthermore, the gale events show strong temporal variations in North China. For seasonal variation, the gale events exhibit double peaks, with the largest peak in April and the smallest peak in October. For daily variation, the gale events show a single peak, with the maximum from 10:00 to 16:00 local time in North China. Multi-model simulations from CMIP6 reveal a continuous decreasing trend of gale events in North China by the end of the 21st century under both SSP1-2.6 and SSP2-4.5 scenarios relative to the historical period. Our results provide comprehensive support for planning aviation, renewable energy, and agriculture in the future.
Intermediate cities in Asia and Africa house more than 60% of the world’s urban population. More than 54% of the people here face high levels of water stress and are increasingly vulnerable to water-related risks such as floods, limited access to safe drinking water and water pollution. These urban water risks are complex outcomes of climate change, land use changes, governance failures, and social inequities. This study examines the co-evolution of three water risks and governance responses through the case of Guwahati, India. Guwahati, on the Brahmaputra River in the Northeast of India, serves as a case of an intermediate city to demonstrate changes in water risk governance trends. We focus on studying the connected governance responses to changes in three interrelated water risks, i.e., domestic water supply, urban floods, and river pollution. The shifts in the socio-political structures for these risks are assessed by combining historical institutionalism with multi-level perspective theory. The results show that despite the growing diversity of actors and devolution of responsibilities in cities to mitigate water risks, there is an ongoing tug-of-war between centralized and decentralized modes of decision-making. Contrary to the recommendations for decentralized urban governance, the trend is currently tugging towards a centralized decision-making mode. However, when differences arise between the local and national, local actors within their limited frames of action manage to circumnavigate nationally dictated mandates to fit local needs.
Mark Stafford-Smith, David Rissik, Roger Street
et al.
As the world recognises the need to adapt to unavoidable climate change, diverse adaptation planning and risk assessment guides have emerged, with the legitimate intent of providing context- or sector-specific guidance. Despite this, adaptation seems challenged to move to action, and users of guides often report being overwhelmed or confused. New guides seem to continually re-invent the details of the adaptation cycle of planning and implementation, whereas it may be better to focus more on making these details salient to users at different stages of their adaptation journey, in terms of levels of experience or organisational process. We review 39 guides to identify leading practice around a basic set of six core steps in an adaptation cycle, which could be the starting point for any new guide. We then argue that it should be standard to provide guidance about different modes of applying an adaptation cycle in practice, which can help practitioners with different types of use and as they evolve their understanding of their adaptation needs. We show how defining three archetypal modes of adaptation cycle – Scan, Portfolio and Project – helps to sharpen the advice about the approaches to apply in each of the steps within each mode, and particularly to simplify the journey to action for practitioners considering climate adaptation for the first time. We discuss what response users have had to some applications of this approach. We conclude that it is time for adaptation researchers and practitioners to move on from putting energy into re-inventing the adaptation cycle, and instead provide more differentiated guidance for how the cycle can be applied as the user’s context changes through their adaptation journey.
Karly Hampshire, Allan Ndovu, Hriday Bhambhvani
et al.
Introduction: Although climate change has been identified as one of the greatest threats to health, medical school curricula have very little coverage of its health consequences. While students are key stakeholders in medical school curricula, their perspectives on the inclusion of this content are largely unknown. This study sought to evaluate medical student perceptions on the intersection of climate change and health in medical education. Materials and methods: Authors surveyed students at select U.S. medical schools from April–July 2020 using Likert-scale items, multiple choice questions, and free text responses. Data was analyzed using descriptive statistics, and a regression analysis was performed to assess student characteristics predictive of stronger beliefs in climate health education. Results: Of 600 student respondents at 12 medical schools, 83.9% (n=503) believed that climate change and its health effects should be included in the core medical school curriculum, but just 13.0% (n=78) believed that their school currently provides adequate education. Only 6.3% of students (n=38) felt they would be “very prepared” to discuss the question, “How can climate change affect my health?” with a patient. There was no significant association between student beliefs regarding climate change in medical education and age, medical school region or rank, or stage of training, though students with no or low past or present engagement with climate change had significantly lower scores in a composite score assessing belief in climate change's health effects and place in medical education. Discussion: The majority of medical students believe that climate change should be a core topic in medical school curricula and current coverage is inadequate. By demonstrating student demand to fill this educational gap, this study functions as a needs assessment in the development of climate health curricula moving forward.
Public aspects of medicine, Meteorology. Climatology
Abstract We present a machine‐learning‐based model of relativistic electron fluxes >1.8 MeV using a neural network approach in the Earth's outer radiation belt. The Outer RadIation belt Electron Neural net model for Relativistic electrons (ORIENT‐R) uses only solar wind conditions and geomagnetic indices as input. For the first time, we show that the state of the outer radiation belt can be determined using only solar wind conditions and geomagnetic indices, without any initial and boundary conditions. The most important features for determining outer radiation belt dynamics are found to be AL, solar wind flow speed and density, and SYM‐H indices. ORIENT‐R reproduces out‐of‐sample relativistic electron fluxes with a correlation coefficient of 0.95 and an uncertainty factor of ∼2. ORIENT‐R reproduces radiation belt dynamics during an out‐of‐sample geomagnetic storm with good agreement to the observations. In addition, ORIENT‐R was run for a completely out‐of‐sample period between March 2018 and October 2019 when the AL index ended and was replaced with the predicted AL index (lasp.colorado.edu/home/personnel/xinlin.li). It reproduces electron fluxes with a correlation coefficient of 0.92 and an out‐of‐sample uncertainty factor of ∼3. Furthermore, ORIENT‐R captured the trend in the electron fluxes from low‐earth‐orbit (LEO) SAMPEX, which is a completely out‐of‐sample data set both temporally and spatially. In sum, the ORIENT‐R model can reproduce transport, acceleration, decay, and dropouts of the outer radiation belt anywhere from short timescales (i.e., geomagnetic storms) and very long timescales (i.e., solar cycle) variations.
<p>In this paper, the macroseismic effects of the subcrustal earthquake in Vrancea (Romania) that occurred on March 4, 1977, have been re-evaluated. This was the second strongest seismic event that occurred in this area during the twentieth century, following the event that happened on November 10, 1940. It is thus of importance for our understanding of the seismicity of the Vrancea zone. The earthquake was felt over a large area, which included the territories of the neighboring states, and it produced major damage. Due to its effects, macroseismic studies were developed by Romanian researchers soon after its occurrence, with foreign scientists also involved, such as Medvedev, the founder of the Medvedev-Sponheuer-Karnik (MSK) seismic intensity scale. The original macroseismic questionnaires were re-examined, to take into account the recommendations for intensity assessments according to the MSK-64 macroseismic scale used in Romania. After the re-evaluation of the macroseismic field of this earthquake, the intensity dataset was obtained for 1,620 sites in Romanian territory. The re-evaluation was necessary as it has confirmed that the previous macroseismic map was underestimated. On this new map, only the intensity data points are plotted, without tracing the isoseismals.</p>