International Journal of Biometeorology最新文献

{"title":"Climate change and chronic kidney disease (CKD) among outdoor workers: a systematic review.","authors":"Peymaneh Habibi, Jaleh Razmjouei, Abdollah Badzohreh, Ahad Heydari","doi":"10.1007/s00484-025-02896-6","DOIUrl":"10.1007/s00484-025-02896-6","url":null,"abstract":"<p><p>Global warming was positively related to chronic kidney disease (CKD) among outdoor workers. Based on the present systematic review, we gathered the risk factors (individual, environmental, and occupational) for climate change-induced CKD among outdoor workers up to 2023. There has been a rapid increase of CKD in tropical and subtropical countries with low and middle income. Among the risk factors air temperature, diabetes, hypertension, physically demanding job tasks, age, sex, dehydration, working and living in a hot environment, and body mass index (BMI) were the main contributors to CKD-related. Although the high hot-wet and hot-dry climate conditions related to CKD were high, this trend increased in developing countries. Climate change will adversely impact global kidney health over the century through its effects on temperature and the risk of endemic infections. Outdoor workers may face an elevated risk of CKD, with the male population being more vulnerable. Implementing preventive strategies (cooling techniques, acclimation, work/rest cycles, and appropriate clothing) against heat stress due to global warming is crucial.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1207-1236"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring heat risk in pregnant women: do environmental and social inequalities amplify heat exposure?","authors":"Lucie Adélaïde, Aurélie Nakamura, Ariane Guilbert, Stéphanie Vandentorren, Morgane Stempfelet, Ian Hough, Emie Seyve, Guy Launoy, Ludivine Launay, Marie-Aline Charles, Cécile Chevrier, Christine Monfort, Barbara Heude, Muriel Tafflet, Sam Bayat, Itai Kloog, Johanna Lepeule, Mathilde Pascal","doi":"10.1007/s00484-025-02895-7","DOIUrl":"10.1007/s00484-025-02895-7","url":null,"abstract":"<p><p>Heat exposure in pregnancy has been associated with mother-child health. However, characterization of exposure to heat in pregnant women and its associated factors, such as air pollution, vegetation or social stressors, is lacking. We aimed to describe heat exposure according to air pollution and vegetation co-exposures, individual social position and socio-economic context of residence among French pregnant women. We studied 12,235 pregnant women from four mother-child cohorts. Exposure to heat (intensity, duration, severity), particulate matter, nitrogen dioxide (NO₂), ozone (O₃), and vegetation during summer were estimated at the women's residences. Socio-economic context of residence was assessed using the European Deprivation Index (EDI). Cumulative overexposure to heat, air pollution and vegetation were estimated according to reference values. Three profiles of heat exposure, multi-exposure and individual social position, were created using multivariate analysis and unsupervised clustering. Associations of the profiles of heat exposure and multi-exposure with air pollution, vegetation, individual social position and EDI were described using Wilcoxon tests and polytomous regressions. About one-third of pregnant women had a high heat exposure profile combining intense, severe and durable exposure. Depending on the location and year of pregnancy, 27-88% of women were overexposed to heat, air pollution and lack of vegetation. The relationships between profiles of heat and multi-exposure with air pollution, vegetation and individual social position and socioeconomic context of residence depended on the geographical and temporal context. No clear differential exposure pattern across social strata was found. Co-exposure to heat, air pollution and lack of vegetation is common among French pregnant women. Protective measures against summer heat would apply to all pregnant women, as heat exposure represents a universal risk, regardless of socioeconomic status. This research supports future epidemiological studies on combined effects of heat and co-exposures on pregnancy outcomes.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1347-1362"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Projected climate suitability for Hungarian tourism in the 21st century: application of the Holiday Climate Index and modified Tourism Climate Index.","authors":"Attila Kovács, Gergely Molnár, Otília A Megyeri-Korotaj","doi":"10.1007/s00484-025-02901-y","DOIUrl":"10.1007/s00484-025-02901-y","url":null,"abstract":"<p><p>Climatic factors significantly influence travellers' destination selection and demand for tourism products. To maintain sustainable tourism development, it is essential to monitor how tourist destinations will be affected by the projected future changes in the climate system. This study aims to reveal the future impact of climate change for tourism sector in Hungary using the Holiday Climate Index specified for urban tourism (HCI-Urban) and a modified version of Tourism Climate Index (mTCI). The paper employs an ensemble of multiple climate models (ALADIN5.2 and REMO2015) and emission scenarios (RCP4.5 and RCP8.5) to determine the future evolution of indices. Initially, the reference climatic conditions derived from the observational dataset CarpatClim-HU are presented. Then, the climate model results are validated against the observational database for both indices. Afterwards, bias-corrected model outputs are analysed for the periods 2041-2070 and 2071-2100 based on the ensemble of models and scenarios. The spatial distributions of indices are depicted on a monthly level and at a Hungarian district spatial scale. Both the observational and model results highlight that the climatic conditions are more favourable in spring and autumn compared to the summer months. It is also demonstrated that the climatic conditions in Hungary are expected to be more favourable or unchanged from autumn until spring, while there is a general worsening in summer. In terms of the future directions, larger uncertainties are found in May and September. Based on the anticipated trends, the paper pinpoints sector-specific recommendations for adapting tourism services to the altered climatic conditions.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1429-1442"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141134/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143957601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dietary habit helps improve people's adaptability to hot climates: a case study of hotpot in Chongqing, China.","authors":"Hongqiao Qin, Jianghua Chen, Jiaqi Niu, Jingeng Huo, Xuelin Wei, Jie Yan, Guifeng Han","doi":"10.1007/s00484-025-02893-9","DOIUrl":"10.1007/s00484-025-02893-9","url":null,"abstract":"<p><p>Global warming has raised significant concerns about mitigation and adaptation strategies in recent years. This study investigated if consuming spicy food can help improve people's adaptability to hot environment. Onsite measurement and thermal questionnaires were conducted at Chongqing university in summer and winter aged 18 ∼ 30 years old. Participants were categorized into two groups, including frequently eating hotpot (Group-yes) and not (Group-no), and there were respectively 590 and 570 surveys. The results indicated that: (1) Eating hotpot could lower expectations of meteorological conditions. (2) It can decrease thermal sensitivity and expand neutral physiologically equivalent temperature (PET) range (14.89 ∼ 24.74 ℃ in Group-yes and 16.66 ∼ 23.98 ℃ in Group-no). (3) The acceptable PET range in Group-yes was 5.46 ℃ wider than Group-no with a higher preferred PET in Group-yes (24.04 ℃) compared to Group-no (22.63 ℃). (4) Respondents' thermal perception in Group-yes demonstrated a less susceptibility to meteorological variations compared to Group-no, and respondents in Group-no were more influenced by RH in summer. These findings suggest that consuming hotpot can improve thermal adaptation, thereby underscoring the significant influence of dietary habits on thermal adaptability.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1311-1324"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of spring freeze events on a perennial tree fruit crop across the central and eastern USA.","authors":"Ting Wang, Shiyuan Zhong, Jeffrey Andresen","doi":"10.1007/s00484-025-02887-7","DOIUrl":"10.1007/s00484-025-02887-7","url":null,"abstract":"<p><p>This study uses a crop simulation model driven by 40 years (1981-2020) of daily gridded meteorological data from PRISM to assess the impacts of spring freeze events on cherry trees, a representative temperate perennial tree-fruit crop, across six regions of the central and eastern USA: the Northern and Southern Great Plains (NGP, SGP), Upper Midwest (UMW), Ohio Valley (OHV), New York-Pennsylvania (NY-PA), and Virginia-North Carolina (VA-NC). Freeze damage exhibits a clear latitudinal gradient, with damage frequency and severity decreasing from south to north. The most frequent and severe damage occurs in the SGP, followed by VA-NC, while the least is observed in the UMW and NY-PA. Damage frequency decreases as phenological stage advances, with the first two vegetative stages being the most affected. False spring events, defined as early side-green onset followed by freeze damage, mirror this spatial pattern and are more closely linked to the timing of side-green dates than to freeze-damage frequency. Trends in damage day frequency and severity show notable longitudinal variability, with decreasing trends in the lower OHV flanked by increasing trends in the SGP and VA-NC. Decreasing trends are also observed in northern parts of the UMW and NGP, though significant trends are limited to small areas. These patterns reflect the interplay between spring warm-up timing, phenological development, and seasonal vulnerability, modulated by sub-freezing temperature frequency and severity. The findings highlight the complexity of overwintering crops' responses to climate variability and the need for caution in assessing cold injury risks under future climate scenarios.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1237-1252"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-stakeholder perspectives on urban regeneration: a spatial gradient analysis of heat and pollution effects.","authors":"Jingqi Zhang, Xinyue Gu","doi":"10.1007/s00484-025-02894-8","DOIUrl":"10.1007/s00484-025-02894-8","url":null,"abstract":"<p><p>The acceleration of urbanization has caused severe environmental problems for cities, making the implementation of sustainable urban regeneration projects an important part of urban construction. Previous studies have shown that different actions taken by various stakeholder groups at different stages of urban regeneration can affect the outcomes of urban regeneration. However, few studies have investigated the environmental impacts on the urban regeneration plots and their surroundings during the urban regeneration implementation stage under the leadership of different stakeholders. Therefore, this study selected 12 plots under three urban regeneration models-government-led, government-enterprise cooperation-led, and multi-stakeholder cooperation-led-and examined the median or mean values of land surface temperature, air temperature, carbon monoxide concentration, nitrogen dioxide concentration, and sulfur dioxide concentration for each season over four years, from pre-regeneration to the implementation stage. It analyzed the urban heat and pollution effects within the plots and in multiple ring buffer zones of 50 m, 150 m, and 350 m outside the plots. The results indicated that: (1) The land surface temperature within the plots was significantly influenced by urban regeneration, while the impact on air quality was not as noticeable; (2) During winter, the urban heat and pollution within the plots were least affected by the implementation of urban regeneration; (3) Urban regeneration models with government involvement as the leading party were more likely to mitigate the impact of urban regeneration project implementation on urban heat and pollution. These findings are of significant importance for furthering the sustainability of urban regeneration.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1325-1345"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141161/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling microclimatic variability in Andean forests of northern Patagonia.","authors":"Jonas Fierke, Birgitta Putzenlechner, Alois Simon, Juan Haridis Gowda, Ernesto Juan Reiter, Helge Walentowski, Martin Kappas","doi":"10.1007/s00484-025-02891-x","DOIUrl":"10.1007/s00484-025-02891-x","url":null,"abstract":"<p><p>Information on microclimatic conditions beneath canopies is key to understanding small-scale ecological processes, especially concerning the response of biodiversity to climate change. In north-western Patagonia, where data on climate-driven species distribution are scarce, our study provides valuable insights by providing microclimatic models covering spatiotemporal dynamics at 30 × 30 m resolution. Applying in-situ data from 2022 to 2024, we employed a random forest-based regression to assess the impact of several biophysical predictor variables describing terrain and vegetation properties on four microclimatic response variables at three vertical levels within forests. We also interpolated this data spatiotemporally, using statistical downscaling of ERA5 data. Our analysis reveals that the influence of the predictor variables varies strongly by month and response variable. Moreover, significant variability was observed between the models and months regarding their explanatory power and error range. For instance, the model predicting maximum air temperature at a 2 m height achieved an R² of 0.88 and an RMSE of 1.5 °C, while the model for minimum air temperature resulted in an R² of 0.73 and an RMSE of 1.8 °C. Our model approach provides a benchmark for spatiotemporal projections in this data-scarce region, aligned with the climate normal from 1981 to 2010. Future refinement could benefit from data on snow cover, land use and land cover, soil, as well as structural information on vegetation over an extended period, to enhance the dynamical aspects of microclimatic modelling. We are confident that our present model will substantially enhance possibilities to analyse species distribution across vegetation types and terrain-related features within the area.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1279-1295"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of biotropic weather on the incidence and severity of aneurysmal subarachnoid hemorrhage: a single-center observational explorative study.","authors":"Carolin Albrecht, Kathrin Graw, Victoria Kehl, Isabel Hostettler, Bernhard Meyer, Andreas Matzarakis, Maria Wostrack","doi":"10.1007/s00484-025-02890-y","DOIUrl":"10.1007/s00484-025-02890-y","url":null,"abstract":"<p><p>Controversy surrounds seasonal variations in aneurysmal subarachnoid hemorrhage (aSAH) incidence and course. Investigating weather effects associated with weather fronts may provide more insights. Meteorological parameters are grouped into classes describing biotropic weather conditions influencing human health. Known as bio-synop classes, they impact human health by influencing biological processes. Our study explores the relationship between these classes and aSAH occurrence and severity using data from our neurovascular center and the German national weather registry. Data from 605 aSAH patients treated between 2006 and 2021 was analyzed. The Kruskal-Wallis Test was used to assess the incidence and severity of aSAH, classified by Hunt&Hess (HH) grades across bio-synop classes. Additionally, we explored seasonal clustering of aSAH events. While no significant difference in ASAH incidence across specific bio-synop classes was observed (p = 0.165), class 4 \"Low-pressure with cold air advection\" was significantly associated with a higher incidence of poorer HH grades (p = 0.022). Further, we observed a decrease in aSAH cases in June in month-to-month comparisons (May vs. June p < 0.001). Although bio-synop classes may not directly affect aSAH incidence, they appear linked to aSAH severity. The reduction in June aSAH cases suggests a potential seasonal influence, indicating a complex interplay of environmental factors warranting further investigation.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1267-1277"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141114/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forewarning the seasonal dynamics of corn leafhopper and mollicutes through neural networks.","authors":"Ademar Novais Istchuk, Elizeu Sá Farias, Josemar Foresti, Paulo Antônio Santana Júnior, Renata Ramos Pereira, Tamylin Kaori Ishizuka, Paulo Roberto da Silva, Matheus Henrique Schwertner, Vanda Pietrowski","doi":"10.1007/s00484-025-02898-4","DOIUrl":"10.1007/s00484-025-02898-4","url":null,"abstract":"<p><p>The corn leafhopper (CL), Dalbulus maidis (DeLong & Wolcott) (Hemiptera: Cicadellidae), has become the most important corn pest in Brazil and other corn-producing countries. This highly efficient insect vector transmits corn stunting pathogens resulting in significant yield losses in corn fields. This study aimed to investigate the relationship between CL abundance and pathogen infection in adult CL with weather variables, day of the year (DOY), and corn season in four Brazilian corn-producing areas using artificial neural networks (ANN). We developed three ANN models, using monitoring data from 2019 to 2023, for year-round forewarning of CL populations and infection of corn stunt spiroplasma (CSS) and maize bushy stunt phytoplasma (MBSP) in CL adults. The best-fit models demonstrated strong correlations in the validation set for CL abundance (0.71), and substantial classification agreement for both CSS (0.81) and MBSP (0.81). The final inputs for the models included relative humidity, air temperature, wind speed, DOY, corn season, and CL abundance. The presence of corn plants and DOY are manageable factors for achieving CL and mollicute control. This can be made by eliminating volunteer plants, reducing planting windows, and avoiding late-plantings. Our results are suitable for further predictions and offer essential guidance to be incorporated into the IPM of D. maidis and to better understand CSS and MBSP infection on a large-scale. Lastly, ANN is a reliable machine-learning algorithm to predict vector population dynamics and the infection of phytopathogens in D. maidis.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1383-1394"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Forewarning the seasonal dynamics of corn leafhopper and mollicutes through neural networks.","authors":"Ademar Novais Istchuk, Elizeu Sá Farias, Josemar Foresti, Paulo Antônio Santana Júnior, Renata Ramos Pereira, Tamylin Kaori Ishizuka, Paulo Roberto da Silva, Matheus Henrique Schwertner, Vanda Pietrowski","doi":"10.1007/s00484-025-02905-8","DOIUrl":"10.1007/s00484-025-02905-8","url":null,"abstract":"","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":"1395"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143957094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}