{"title":"Intersections of climate and society: cold stress vulnerability in Northern Norway","authors":"Elena Grigorieva, John Walsh, Vladimir Alexeev","doi":"10.1007/s00484-026-03335-w","DOIUrl":null,"url":null,"abstract":"<div><p>Extreme cold profoundly shapes health, livelihoods, and social well-being in northern communities, yet research on social vulnerability to such conditions remains limited. This study provides a framework for integrating social, demographic, infrastructural, and institutional dimensions into an assessment of vulnerability to extreme cold in northern Norway. It utilizes the Extremely Cold Social Vulnerability Index (ECSVI, ranging from 0 to 1) derived from the Universal Thermal Climate Index (UTCI), and indices of social sensitivity and social adaptivity for 83 communities across Nordland, Troms, and Finnmark in Northern Norway during 2000–2019. Finnmark experienced substantially greater cold exposure than Nordland and Troms, although annual exposure to UTCI < − 27 °C declined from 1011 to 883 h between 2000 and 2009 and 2010–2019. ECSVI showed marked regional differences, with Finnmark remaining the most vulnerable county (0.69 and 0.67 in two decades), compared with substantially lower values in Troms and Nordland. At the community level, Social Sensitivity ranged from 0.27 to 0.61 and Social Adaptivity from 0.39 to 0.64. Low-income households (<i>r</i> = 0.64), foreign-born population (<i>r</i> = 0.62), and income inequality (<i>r</i> = 0.60) showed the strongest positive associations with Social Sensitivity. Infrastructure metrics such as connectivity to the municipal water supply (<i>r</i> = 0.61) and roads with street lighting (<i>r</i> = 0.46) were the highest correlators with Social Adaptivity. Overall, the results demonstrate that vulnerability to extreme cold reflects the combined effects of climatic exposure and socioeconomic conditions, while stronger adaptive capacity can reduce vulnerability. By quantifying vulnerability across and within regions, this study offers actionable insights for targeted adaptation and resilience planning.</p></div>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":"70 10","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00484-026-03335-w.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biometeorology","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s00484-026-03335-w","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Extreme cold profoundly shapes health, livelihoods, and social well-being in northern communities, yet research on social vulnerability to such conditions remains limited. This study provides a framework for integrating social, demographic, infrastructural, and institutional dimensions into an assessment of vulnerability to extreme cold in northern Norway. It utilizes the Extremely Cold Social Vulnerability Index (ECSVI, ranging from 0 to 1) derived from the Universal Thermal Climate Index (UTCI), and indices of social sensitivity and social adaptivity for 83 communities across Nordland, Troms, and Finnmark in Northern Norway during 2000–2019. Finnmark experienced substantially greater cold exposure than Nordland and Troms, although annual exposure to UTCI < − 27 °C declined from 1011 to 883 h between 2000 and 2009 and 2010–2019. ECSVI showed marked regional differences, with Finnmark remaining the most vulnerable county (0.69 and 0.67 in two decades), compared with substantially lower values in Troms and Nordland. At the community level, Social Sensitivity ranged from 0.27 to 0.61 and Social Adaptivity from 0.39 to 0.64. Low-income households (r = 0.64), foreign-born population (r = 0.62), and income inequality (r = 0.60) showed the strongest positive associations with Social Sensitivity. Infrastructure metrics such as connectivity to the municipal water supply (r = 0.61) and roads with street lighting (r = 0.46) were the highest correlators with Social Adaptivity. Overall, the results demonstrate that vulnerability to extreme cold reflects the combined effects of climatic exposure and socioeconomic conditions, while stronger adaptive capacity can reduce vulnerability. By quantifying vulnerability across and within regions, this study offers actionable insights for targeted adaptation and resilience planning.
期刊介绍:
The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment.
Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health.
The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.