Abstract
Permafrost thaw poses diverse risks to Arctic environments and livelihoods. Understanding the effects of permafrost thaw is vital for informed policymaking and adaptation efforts. Here, we present the consolidated findings of a risk analysis spanning four study regions: Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada) and the Bulunskiy District of the Sakha Republic (Russia). Local stakeholders’ and scientists’ perceptions shaped our understanding of the risks as dynamic, socionatural phenomena involving physical processes, key hazards, and societal consequences. Through an inter- and transdisciplinary risk analysis based on multidirectional knowledge exchanges and thematic network analysis, we identified five key hazards of permafrost thaw. These include infrastructure failure, disruption of mobility and supplies, decreased water quality, challenges for food security, and exposure to diseases and contaminants. The study’s novelty resides in the comparative approach spanning different disciplines, environmental and societal contexts, and the transdisciplinary synthesis considering various risk perceptions.
Similar content being viewed by others
Introduction
The Arctic permafrost, home to more than three million people1, forms the foundation of human life and is a crucial component of coupled socioecological systems2. Arctic permafrost is, however, warming and thawing3,4,5, and projections indicate that most of it will degrade and disappear by 20501. Driven by climatic and environmental changes, as well as human disturbances, permafrost thaw poses considerable risks with far-reaching implications for the global climate system and local Arctic communities. These risks, in conjunction with rapid socioenvironmental transformations6,7,8,9 and competing geopolitical interests10, necessitate urgent understanding and action. At the global scale, the release of greenhouse gases from thawing permafrost creates a feedback loop that exacerbates climate warming and perpetuates permafrost degradation11,12,13,14. Regionally and locally, permafrost thaw leads to physical, chemical, and biological shifts and landscape and ecosystem alterations6,7,15, which often result in hazards. These hazards, defined as harmful phenomena with adverse impacts, significantly affect Arctic communities’ livelihoods16,17,18,19 and nearly all aspects of human life, including the economy20, infrastructure21,22,23, culture and heritage24,25,26,27, fisheries28,29, food and water security17,30,31 and health32,33,34,35,36. Such complex interrelations and sequences of events constitute risks that are perceived differently among (i) individuals (e.g., scientists, local stakeholders) on the basis of their worldviews, needs, and concerns37, as well as (ii) Arctic communities due to their differences in historical, cultural, environmental, and socioeconomic settings19,38. Risk perceptions ultimately influence decision-making and the implementation of the mitigation and adaptation strategies needed for local risk management. In this context, comprehensive assessments that consider the multifaceted aspects of permafrost thaw risk and diverse perceptions are essential tools for informing policymaking.
Risk assessment is the process of systematically identifying, analyzing, and evaluating (qualitatively or quantitatively) risks. In the scientific literature, risk definitions and assessment methods differ greatly, focusing either on the physical or social dimensions of risk and rarely considering its subjective nature through perceptions39. In addition, the growing body of knowledge on climate-related hazards and risk assessments in the Arctic thus far consists mostly of sectoral studies40,41,42,43,44,45, which lack a comparative approach. The risks and impacts of permafrost thaw on coupled socioecological systems46 remain understudied from an inter- and transdisciplinary perspective47,48,49. The fact that risks are not perceived or understood uniformly, neither by local stakeholders nor across scientific disciplines, underscores the importance of developing a comprehensive and transdisciplinary understanding of both the environmental and societal implications of permafrost thaw. This understanding is crucial for addressing the challenges posed by permafrost degradation while considering both the unique and shared challenges faced by Arctic communities in the context of climate change.
To bridge these gaps and answer our main research question—what are the local risks from Arctic permafrost thaw?—we present a holistic, comparative, inter-, and transdisciplinary47,48 framework and analyze permafrost thaw risks. In our framework, we consider risks holistically as a dynamic and evolving socionatural phenomenon shaped by perceptions. Risk is specifically defined as the potential occurrence of a hazard resulting from physical processes, the severity of its consequences for humans and ecosystems, and the associated perceptions, that is, the importance assigned to the said risk by stakeholders. Permafrost thaw risks are thus characterized by the relationships among the three components described as follows: (i) physical processes, i.e., climatic, environmental, and anthropogenic processes contributing to or resulting from permafrost thaw; (ii) hazards, i.e., dangers set at the intersection of the natural and societal realms; and (iii) societal consequences, i.e., perceived effects or outcomes resulting from a hazard and impacting various life domains such as health, recreation, the economy and ecosystems. The importance of physical processes in triggering hazards and the importance of hazards in impacting life domains is assessed by integrating scientific and nonscientific perceptions39.
Our risk assessment framework was implemented in four Arctic regions: Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada), and the Bulunskiy District of the Sakha Republic (Yakutiya, Russia) (Fig. 1). All the study areas are characterized by particular geopolitical, cultural, and socioeconomic contexts19 as well as permafrost conditions50,51,52,53 and are thus confronted with distinct permafrost thaw-related risks. We investigated the coupled socionatural dynamics of risks and their implications in each study area with the objective of informing local communities about prominent key hazards and consequences in their respective regions. We further identified and descriptively compared similarities and disparities across study areas and consolidated our findings to provide a composite overview of the permafrost thaw risks from all case studies. Through our comparative approach and composite overview, we ultimately aimed to generalize and increase the transferability of our findings to other regions, thereby supporting the development of overarching strategies for risk adaptation and mitigation.
Credits: Map by Sebastian Laboor. Arctic settlements are from the dataset Total Arctic population on settlemental level in 2017 (500+ inhab) by Nordregio122, which is used and licensed under CC-BY-SA-4.0, and available at https://doi.org/10.1594/PANGAEA.895745. The spellings of some settlement names were edited. The submarine permafrost extent is from the Submarine Permafrost Map (SuPerMAP), which was modeled with CryoGrid 2, Circum-Arctic by Overduin et al.123, and is used and licensed under CC-BY-4.0 and available at https://doi.org/10.1594/PANGAEA.910540. Trends in permafrost temperature were retrieved via the Center for Environmental Data Analysis from the ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v3.0, 25 June 2021, by Obu, Westermann et al.121, which is used and licensed under https://artefacts.ceda.ac.uk/licenses/specific_licences/esacci_permafrost_terms_and_conditions.pdf and available at https://doi.org/10.5285/b25d4a6174de4ac78000d034f500a268. The country borders are from the dataset TM_WORLD_BORDERS by http://thematicmapping.org, which is used and licensed under CC-BY-SA-3.0. The administrative borders are from OpenStreetMap124, and are available and licensed under the Open Data Commons Open Database License (ODbL) (openstreetmap.org/copyright) by the OpenStreetMap Foundation (OSMF).
Throughout our risk analysis, knowledge was combined and synthesized through inter- and transdisciplinary collaboration and multidirectional knowledge exchanges54,55 involving a large variety of stakeholders, including local stakeholders38 (local land users, Indigenous knowledge and rightsholders, administrative authorities, civic leaders, technical staff, and other experts39) and scientists from multiple disciplines. The risk analysis drew on primary data collection undertaken by the consortium scientists through a series of intensive fieldwork campaigns. We then gathered all available information on risks from the study areas through workshops and multiple exchanges held between 2019 and 2023, which included the participation and inputs from local Indigenous representatives in addition to over one hundred scientists from all fields within the project consortium. This information was then categorized via thematic network analysis56, and an iterative process was adopted to rank the identified permafrost thaw risks with the consortium scientists, study region inhabitants, and (other) local experts39. Finally, a series of workshops and consultation meetings facilitated the risk evaluation by local experts, where the results were shared and verified together with close to one hundred stakeholders in the study areas57. By synthesizing information from multiple stakeholders, scientific disciplines, and four case studies from across the Arctic, we contribute to a more comprehensive understanding of the complex and interconnected factors of risk across permafrost regions and provide a knowledge basis for informed adaptation strategies and policymaking.
Results
Local risks of Arctic permafrost thaw: a composite overview
The composite overview in Fig. 2 presents the main findings of the risk assessment for the Arctic permafrost region, which is based on synthesized information from Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada), and the Bulunskiy District (Russia) (for more information on the study areas, see section “Description of the study areas” in Methods). The figure highlights the complex interconnectedness of physical processes, hazards, and societal consequences for life domains related to permafrost thaw. The thematic network analysis revealed five key hazards, namely, (1) infrastructure failure, (2) disruption of mobility and supplies, (3) decrease in water quality, (4) challenges for food security, and (5) increased risk of exposure to infectious diseases and contaminants. The overview we present here focuses on these five key hazards resulting from permafrost degradation, which have far-reaching consequences for ecosystems, sociocultural dynamics, economies, governance, and the health and well-being of people in Arctic communities. The data presented in the graphic align with the temporal and spatial scales relevant to the affected communities.
Credits: adapted from The Big Picture—It’s All Connected by Westerveld et al.125 by Johanna Scheer with the support of Levi Westerveld. The symbols to the left of the graphic represent different groups of climatic, environmental, and anthropogenic drivers of and processes resulting from permafrost thaw, which contribute to triggering harmful phenomena or events, referred to as key hazards. These key hazards, illustrated by the symbols at the center of the figure, in turn have adverse consequences for different life domains, represented by the symbols to the right of the figure. The thickness of the lines represents the rankings obtained from scientific and nonscientific perceptions integrated into our analysis (i.e., the connections between the groups of physical processes and key hazards were derived from the consortium rankings, whereas the connections between the key hazards and the groups of societal consequences were calculated by averaging the consortium and local expert rankings). The thicker the lines are, the more prominent or likely these physical processes are in triggering the hazards, and the more severe the impacts from the key hazards are for the life domains. Detailed examples of physical processes, hazards, and consequences and working definitions of these concepts are provided for each of the represented groups in Table 2.
Figure 2 illustrates that ground instabilities and erosion are the prevailing processes leading to infrastructure failures, disruptions of mobility and supplies, decreases in water quality, and, to a lesser extent, challenges for food security. Infrastructure failure and disruptions of mobility and supplies have the greatest impacts on costs and the economy and are generally perceived as important permafrost-related challenges in all study areas (Fig. 3). Food security is affected mostly by changes in flora and fauna, which, together with changes in climate and weather conditions and hydrological changes, also contribute to exposure to infectious diseases and contaminants. Compared with other major risks, assessing the impact of exposure to infectious diseases and contaminants has proven more challenging because of a local shortfall in expertise and information. Depending on factors such as livelihood strategies, sociocultural background, governance structures, existing infrastructure facilities, and permafrost conditions, the perception of permafrost thaw risks involves important place- and context-specific complexities19.
The graphic depicts the importance of permafrost hazards in causing societal consequences, as perceived and ranked by the consortium and local rightsholders and stakeholders (c.f. Methods) and represented per study area. The thickness of the lines was calculated per study area by summing the scores between a given hazard and the six groups of societal consequences.
The cumulative importance of permafrost hazards in causing societal consequences, as perceived and ranked by scientists and local rightsholders and stakeholders, is compared per region in Fig. 3. The figure demonstrates that there is substantial variation not only among individuals and within communities but also between regions. For example, challenges for food security (including impacts on subsistence activities) were seen as considerable permafrost thaw-related hazards with many consequences for life in the Beaufort Sea region and the Mackenzie River Delta. However, such concerns were not as prominent in Svalbard or Greenland, where infrastructure failure was perceived as the most critical hazard. In the following sections, which are ordered according to the key hazards, we further elaborate on the similarities and differences in permafrost thaw risks and their consequences across localities.
Infrastructure failure
Arctic communities rely heavily on the services provided by their housing, communication, transportation, and energy infrastructures21. However, the integrity of the built environment is jeopardized by permafrost thaw and construction practices that are not adapted to the current climate. Infrastructure failures, which impact all aspects of life, were indeed a primary concern across all the study areas (Fig. 3). The significant costs incurred by repairs, the implementation of adaptation measures, and the decommissioning or relocation of infrastructures were concerning for local experts and governmental entities. For example, in Longyearbyen (Svalbard, Norway), which is located between steep mountainsides, landslides, rockfalls and ground surface deformations considerably impact buildings and infrastructure. Much of the former mining town’s built environment was constructed for temporary use, resulting in a need for costly adaptation measures. In Ilulissat (Avannaata municipality, Greenland), where permafrost is relatively ice-rich and close to its thawing point, ground surface deformations and associated infrastructure damages occur seasonally. The demand for construction and maintenance operations has increased in recent years, thereby exerting pressure on the local private sector and already limited municipal budgets.
Damages to the built environment and associated adverse effects have also impacted the health and well-being of local residents in all the study areas. However, recognizing hazards has equipped individuals and communities with the ability to confront and manage them proactively, fostering a sense of control and preparedness that underpins overall well-being35,36. Hazardous slope-related processes, including rockfalls and landslides, notably represented a major safety concern in Longyearbyen. Similarly, landslides and tsunamis have become a growing source of concern in the Avannaata municipality, particularly following the 2017 Nuugaatsiaq disaster, which resulted in the destruction of eleven houses and claimed four lives58. In the Beaufort Sea region and the Mackenzie River Delta (Canada), Bulunskiy District (Russia), and Longyearbyen, erosion (fluvial or coastal) was a major concern with respect to infrastructure failure, impacts on recreational activities, and the need for protective measures. In the Beaufort Sea/Delta region, accelerating erosion rates are leading to the complete destruction of infrastructure (Fig. 4) and contributing to the need for ongoing and planned relocation of homes, particularly in Tuktoyaktuk59. Coastal erosion is also threatening the cultural identity and heritage of communities in several regions, resulting in damage to remnants from the coal mining industry in Longyearbyen60, cultural heritage sites in the Beaufort Sea/Delta region24,61, and cemeteries in Bykovskiy (Bulunskiy District, Russia).
Given the wide range of consequences resulting from infrastructure failures, urban planning was often perceived as challenging, particularly due to the uncertainties associated with permafrost thaw. In Longyearbyen, confined development areas due to natural hazard risk zones, cultural heritage, and a state incentive to halt urban expansion represent considerable constraints for infrastructural development. In addition, turnover of staff, resulting in knowledge loss and adaptation challenges, was a shared concern across the four study areas. The multitude of tasks, difficulties in recruiting and retaining an experienced workforce, resource allocation, and prioritizing were perceived as challenging for proactive planning. In Ilulissat, local stakeholders raised concerns about sustaining the town’s expansion strategies given financial and logistical constraints. Adaptation planning was generally perceived as necessary at all the study sites, but the rapidity of on-going changes challenged people’s sense of fate control. In Tiksi and Bykovskiy (Bulunskiy District, Russia), the issues and concerns related to failing or potentially endangered infrastructure were not publicly discussed, and the funds to mitigate the progressing coastal erosion were lacking.
Disruption of mobility and supplies
Thawing permafrost damages transportation infrastructure, as well as food and water supply facilities. Extreme weather events and increased erosion further disrupt navigation, limiting access to resources18,24. Disruption of mobility and supplies was of great concern across the study areas. In Longyearbyen, this hazard was mainly considered to be a function of infrastructure failure. Coastal erosion has damaged roads, and as the town is located in a valley with steep hillsides, permafrost thaw causes landslides and rockfalls, which have resulted in temporary road closures and disruptions of hiking paths. Furthermore, roads and the airport runway are at risk from ground surface deformations induced by permafrost thawing and ground ice melting. The likelihood of supplies being disrupted was nonetheless considered low in this study area. In the Avannaata municipality, the deterioration of roads (Fig. 5) was also a concern, primarily due to the need for frequent repairs, associated economic consequences (Fig. 6), and a lack of alternative routes to critical facilities in the case of disruption (e.g., a unique road to the airport in Ilulissat).
In comparison, disruptions of mobility and supplies occurring within the Beaufort Sea/Delta Region were perceived as having important impacts on all life domains, such as being in nature, ecosystem health, and subsistence practices, which in turn affect culture, language, and identity. Permafrost thaw results in changes in trails and river channels, complicating access to camps and creating safety challenges. Another main concern in this region was the increased costs due to road damage. In northern Sakha (Yakutiya), the degradation and destruction of winter roads, tundra trails and water pipelines and their impacts on transportation were perceived as major risks. Related delays and irregular provisioning of groceries, traditional food, and other goods challenge local food security. In addition, the formation of thermokarst wetlands or depressions (irregular topography resulting from the thawing of ice-rich permafrost and subsequent ground surface deformations62) in the Sakha tundra increased the number of accidents, changed the mobility patterns of local residents, and altered the migrations of reindeer and hunting game. Changing seawater turbidity and salinity drove fish resources and harvesters farther away from the coast. These new mobility patterns challenge subsistence and commercial practices, making them less safe and less productive.
Challenges to food security
Biodiversity loss, habitat destruction, and declining animal populations pose challenges for food security in the Arctic17. Permafrost thaw leads to reduced travel safety, compromised trails, and the changing availability of wildlife63. Landscape transformations can further result in the release of contaminants, impacting subsistence and compromising food quality and supply64. Permafrost thaw thus constitutes a considerable risk for food security in Arctic regions, depending, however, on the particular place-specific context. In Longyearbyen, where people rely on food imported from the mainland via air and maritime transportation, challenges for food security were not considered relevant. The study participants in Greenland considered such challenges to be unrelated to permafrost thaw. In contrast, food security was one of the main concerns related to permafrost thaw in the Beaufort Sea Region and the Mackenzie River Delta19,65. In this region, food security relies largely on subsistence harvesting, which is also a crucial element of cultural identity66. Challenges for food security were thus considered to heavily impact culture and language, as well as the economy (Fig. 7).
Similarly, in the northern Bulunskiy District (Sakha Republic), landscape transformations induced by permafrost thaw also impact traditional subsistence activities such as fishing, reindeer herding, and hunting, and associated spiritual beliefs. Furthermore, delays and irregular provisioning of groceries, traditional food, and other goods threaten local food security. Notably, a clear adverse impact of permafrost thaw is notably the loss of ice cellars (subterranean storage spaces carved into permafrost used to preserve food by maintaining low temperatures), increasing the risk of exposure to diseases through food consumption and handling of meat or fish, as well as the general loss of food stored in ice cellars and caches (especially in Bykovskiy). In both the Beaufort Sea region and the Mackenzie River Delta and in the Bulunskiy district, permafrost thaw generally had multiple indirect impacts on culture, identity, and overall community well-being, for example, through undermining traditional food production, storage, and distribution practices, and networks. In both study areas, subsistence activities shape cultural identity and contribute to health and financial independence. Additionally, economic hardship (e.g., higher costs of store-bought food) may arise from permafrost thaw impacts on food security. In the Greenlandic study area, some concerns were notably expressed regarding possibly reduced benefits from subsistence and (commercial) hunting and fishing.
Decrease in water quality
Permafrost thaw may lead to shifts in hydrology and ground instabilities, leading to the mobilization of sediment, nutrients, and contaminants in Arctic aquatic ecosystems28,67. These processes affect ecosystem functions, subsistence, and access to clean water64,68. In Longyearbyen, a major concern related to permafrost thaw was access to clean drinking water. The main local freshwater source, Isdammen, is contained by a dam held together by permafrost that could possibly thaw. Therefore, people were worried about the potentially severe consequences, particularly for health and well-being (Fig. 8). In contrast, in the Avannaata municipality, decreased water quality was not perceived as a very pressing concern. Although the transport of sediments and pollutants into the drinking water reservoir in Ilulissat primarily posed technical challenges attributed to the necessity of enhancing water filtration systems, adverse impacts on health were seen as a more dominant concern. Furthermore, general concerns were raised about potential water shortages in the summer. In the Beaufort Sea region and the Mackenzie River Delta, decreased water quality was also not considered a major hazard, but local experts did voice concerns about the water supply and adverse effects of permafrost thaw on aquatic ecosystems, such as changes in the quality of sea and river waters, loss of biodiversity, increased sedimentation and contamination. These effects, in turn, impact recreational and subsistence fishing and whaling. Similar perceptions were gathered in northern Sakha (Yakutiya), where decreased drinking water quality was generally not a concern, with the exception of Bykovskiy, where the eroding coastal cemetery was perceived as the main source of organic pollution both for food and water.
Exposure to infectious diseases and contaminants
Thawing permafrost and erosion mobilize legacy contaminants and mercury (toxic metals that can harm fish, other food sources, and humans through their consumption) and may result in the spread of infectious diseases, including dormant diseases69,70,71,72. For example, unsecured hazardous waste can cause exposure to contaminants73, whereas harmful algal blooms can endanger aquatic organisms74. In our study areas, the safety of activities such as harvesting, being in nature, engaging in outdoor recreational activities, and consuming country food was perceived to be potentially compromised. In Bykovskiy, coastal erosion severely affects cemeteries along the coastline and was therefore associated with exposure to diseases and contaminants (Fig. 9). On Svalbard, exposure to infectious diseases and contaminants due to permafrost thaw was considered low, although some experts expressed concerns regarding old landfills that might thaw and release contaminants. Exposure to infectious diseases and contaminants was ranked among the least concern in the Beaufort Sea region and the Mackenzie River Delta region. However, the study participants were worried about the uncertainty regarding (future) impacts on the ecosystem, water quality, health and well-being75, financial security, and the economy. Overall, we encountered at least some concern that, in all the study areas, humans and animals may be exposed directly or indirectly to infectious diseases and contaminants through food and water sources (e.g., mercury in marine ecosystems in Greenland). The release of contaminants from old oil and gas infrastructure (e.g., near Tuktoyaktuk) or from waste dumps into ecosystems was, in that respect, preoccupying. Concerns about the bioaccumulation (increase in concentrations as one moves up the food chain) of contaminants such as mercury were also raised33. In the Avannaata municipality and in the Beaufort Sea region and the Mackenzie River Delta, challenges related to the education, recruitment, and retention of qualified health professionals, coupled with the need to secure safe sources of food and water, were intertwined with uncertainties regarding heightened exposure to contaminants and infectious diseases.
Conclusions
This transdisciplinary risk analysis conducted in four Arctic regions revealed the substantial impacts of permafrost thaw on the environment and livelihoods of communities. This study underscores the vital role of permafrost within Arctic ecosystems and highlights the main risks associated with its vulnerability to climate change. We assessed permafrost thaw risks by characterizing the relationships between the physical processes, key hazards, and societal consequences on life domains via thematic network analysis and how each of these relationships was perceived across the four case studies. To be considered a main risk, the connections between the physical processes and key hazards with a minimum ranking score of 1.3 (c.f. section “Step 3: Risk ranking”) and the corresponding two most impacted life domains were selected. The main risks from permafrost thaw across the four regions are thus described as follows. First, infrastructure failure is a hazard caused by permafrost-related ground instabilities and erosion, human influences, and changes in climate and weather conditions, resulting in adverse consequences for costs and economy, planning and fate control, and health and well-being. Second, disruptions of mobility and supplies, often created by ground instabilities and erosion, impact costs and the economy, as well as recreation and being in nature. Third, a decrease in water quality, caused by ground instabilities, erosion, and changes in biogeochemical cycles, affects health and well-being as well as costs and the economy. Fourth, challenges for food security are created by changes in flora and fauna, hydrological changes, changes in biogeochemical cycles, and human influences, which have consequences for local costs and the economy as well as culture and language. Finally, exposure to infectious diseases and contaminants is a hazard driven by changes in climate and weather conditions, human influences, changes in flora, fauna and hydrology, which creates concerns for human and ecosystem health and well-being.
The novelty of this study is, first, its comparative approach, which spans different environmental and societal contexts, and second, its transdisciplinary synthesis, which involves identifying risks while taking into account a large variety of stakeholders’ risk perceptions. By synthesizing insights from diverse case studies and disciplines, and through continuous learning from local rightsholders and stakeholders, this study enhances our understanding of the complex and place-based factors driving risks in these landscapes. While all the study areas are characterized by continuous permafrost, they exhibit substantial place-based variations both socially (e.g., population composition, economic prosperity, and political and governance systems) and environmentally (e.g., permafrost and weather conditions, ocean proximity, topography, and vegetation). These variations contribute to the complexities in perceived risks related to permafrost thaw. Thus, while the physical processes of permafrost degradation are generally consistent across the study areas, societal consequences and concerns vary significantly due to differing environmental conditions, cultural contexts, and historical legacies. Since our study areas represent perspectives from a range of human and natural Arctic permafrost settings, the framework and risk assessment we present here are applicable to other (continuous) permafrost regions experiencing similar hazards and impacts, thereby supporting the development of overarching adaptation and mitigation strategies. The site-specific risk analyses, in turn, inform local communities about the hazards and consequences of permafrost thaw in their respective regions (Figs. 6 to 9). In addition, integrating a more extensive and diverse database in our risk analysis allowed us to improve the accuracy and reliability of our findings. However, local concerns related to permafrost thaw are deeply entangled with other issues and processes, both those that are climate-related and those that are not, and any attempt to single out permafrost thaw-related risks necessarily involves an analytical reduction.
Arctic peoples demonstrate remarkable resilience and adaptability. Adaptation is an ongoing process, as humanity has continuously evolved to meet changing conditions. The inter- and transdisciplinary composite risk analysis presented here provides important insights into the main risks associated with permafrost thaw in Arctic coastal regions and highlights the need for proactive measures to support these adaptation and resilience efforts. By emphasizing the interconnectedness of physical processes, societal concerns, and perceptions, this research can aid policymakers, rightsholders, and stakeholders in decision-making for safer Arctic futures. This research is an example of tackling problems holistically instead of compartmentalizing interconnected issues. Accordingly, permafrost thaw risks can best be addressed by employing integrated, holistic approaches for adaptation and mitigation planning. Our research further provides a framework for future studies, which are necessary to address the inherent complexities and context-dependent nature of permafrost thaw risks and for communities to address local challenges. By knowing the key risks and hazards associated with permafrost thaw, Arctic permafrost communities everywhere can take informed actions to prevent unnecessary harm.
Methods
Description of the study areas
The Western Arctic Canadian case study includes four communities: Inuvik, Aklavik, Tuktoyaktuk, and Fort McPherson. Inuvik (or Inuuvik, meaning “living place”), sitting on the eastern edge of the delta, serves as an administrative and transportation hub with a population of approximately 340076. The town was established in 1953 as a planned community to replace Aklavik, which was prone to flooding. Aklavik (or Aklarvik, meaning “grizzly bear place”77), however, persisted and is now home to approximately 700 residents76. Originally settled by the Inuvialuit and Gwich’in people, it became a key ___location for the Hudson’s Bay Company in the early 20th century. It is located in the Mackenzie Delta along the Peel Channel, approximately one hundred kilometers south of the Beaufort Sea. Most inhabitants are Inuvialuit Inuit or Gwich’in First Nation citizens, and the community has a mixed economy of wage employment and subsistence harvesting78, similar to Fort McPherson and Tuktoyaktuk. Tuktoyaktuk (Tuktuuyaqtuuq means “resembling a caribou” in Inuvialuktun79) is an Inuvialuit settlement located on the shore of the Arctic Ocean. It has been a traditional hunting and fishing ___location for centuries and became a key point of interest during the 20th century because of its strategic ___location for Arctic exploration and resource extraction. Often referred to as “Tuk”, the community is the terminus of the Inuvik-Tuktoyaktuk Highway and is currently home to approximately 900 residents76. Fort McPherson (or Tetl’it Zheh: “Town at the Head Waters”) is a Gwich’in community located on the Peel River on the southern side of the Mackenzie River Delta. Established as a Hudson’s Bay Company trading post in 1849, it became an essential center for fur trade. It is home to more than 700 people76 who are predominantly Teetl’it Gwich’in First Nation citizens80.
Inuvik and Tuktoyaktuk had mean annual air temperatures of −7.1 and −8.9 °C during the period of 1990–202081, respectively. Air temperatures increased at a rate of approximately 0.77 °C/decade in the region from 1981 to 201082. All four communities are underlain by continuous permafrost52; however, the mean annual ground temperatures at a two-meter depth ranged from −1.4 °C in Aklavik to −4.3 °C in Tuktoyaktuk in 2019 (Table 1). Between 2000 and 2019, permafrost has been warming at rates reaching 0.14°C/yr in Tuktuktoyak (Table 1) and continues to warm and deteriorate in the region51,82,83. Along with increasing air temperatures82,84 and permafrost thaw, more rain, flooding, and storms85,86, lower snow and ice levels87, melting glaciers88, and changing winds89 are occurring. The region is particularly vulnerable to coastal and riverbank erosion86,89, subsidence, and slumping24,90,91 caused by permafrost thaw, which affects the Inuvialuit Inuit, Gwich’in the First Nation, and non-Indigenous populations. While long-term average coastal erosion rates in the region approach 0.5 m/yr92, erosion rates of more than 10 m/yr are also reported episodically93.
Tiksi and Bykovskiy are both located in the Bulunskiy District (ulus) of the Sakha Republic (Yakutiya). Tiksi, nestled in the Lena River delta, presently accommodates approximately 4,600 inhabitants, consisting of Indigenous groups (such as the Sakha, Evenki and Eveny) and Russian settlers. Tiksi was established in 1932 as a port city along the Northern Sea Route during the zenith of Soviet Arctic exploration, urbanization, and industrialization. Previously serving as a bustling urban settlement, transshipment node, and later, a military base, since the post-Soviet era, Tiksi has confronted population decline and infrastructural and socioeconomic quandaries. Currently, the main sectors of activity revolve around the local fishing industry, small-scale trade, and public services94. In contrast, Bykovskiy is a rural community with slightly more than 500 residents, situated on the Bykovskiy Peninsula, located 40 km away from Tiksi by sea. It was founded in 1940 during Soviet collectivization, leading to the sedentarization of the nomadic population. This community has evolved into the largest Indigenous (primarily Evenki) fishing community in the Bulunskiy District. Forced relocations and deportation of political prisoners in the mid-20th century added not only to ethnic diversity but also to the dark past of the community. Post-Soviet socioeconomic transformations have brought about changes in the fishing economy and intensified competition for marine resources. Nevertheless, the local fishing enterprise currently remains central to the livelihoods of the residents, offering not only employment but also basic social security and access to subsistence resources, including fish95.
Tiksi had a mean annual air temperature of −12 °C96 and experienced an increase in air temperature of 0.11 °C/decade during the period of 1991–202097. Tiksi and Bykovskiy are both underlain by continuous permafrost with mean annual ground temperatures at a two-meter depth of −7.5 and −7.3 °C in 2019 (Table 1). While Tiksi benefits from the natural protection provided by the Bykovskiy Peninsula to the west and the coastal Kharaulakh Ridge, Bykovskiy, characterized by backshore coastal landforms such as cliffs and low-lying topographic depressions, is particularly vulnerable to erosion. Cliff morphology ranges from relatively stable vegetated slopes to nearly vertical cliffs, often exposing complexed ice and sediments or ice wedges98. The coastline has retreated at a mean rate of 0.59 m/yr between 1951 and 200698, whereas at some locations, the annual rates reached more than 10 m/yr99. Low-lying depressions are thermokarst basins formed by the thawing of ice-rich permafrost and subsequent surface subsidence98.
Longyearbyen, with approximately 2600 residents, is the largest settlement on Svalbard, an archipelago under Norwegian jurisdiction, and serves as its administrative hub. Svalbard never had an Indigenous population, and Longyearbyen is today characterized by its transience, young age, and growing international diversity, with approximately 35% hailing from outside Norway. The town underwent considerable socioeconomic transformations, as tourism, the service sector, research, and higher education replaced coal mining as the primary economic sector100. Despite its geographical isolation, Longyearbyen boasts modern urban amenities and easy accessibility via its airport.
Longyearbyen had a mean annual air temperature of −3.8 °C during the period of 1990–2018101. Alarming climatic shifts have occurred in recent years, with temperatures rising almost 4 °C since meteorological records began in 1899, approximately 3.5 times greater than the global average during the same period101. Longyearbyen’s permafrost is continuous and warm and was characterized by a mean annual ground temperature at a two-meter depth of −1.4 °C in 2019 (Table 1). Between 2000 and 2019, the permafrost warmed at a rate of 0.12 °C/yr (Table 1). Projections under high emission scenarios suggest that near-surface permafrost in coastal and low-lying areas could thaw before the century’s end (Table 1). The town’s vulnerability to natural hazards is heightened because of its proximity to steep permafrost slopes. Permafrost thaw could contribute to unstable slopes and an elevated risk of landslides and debris flows, exacerbated by more frequent heavy precipitation events and an increase in winter rainfall102,103. Projected increases in temperature and annual precipitation103 are also expected to cause increased flooding, river and coastal erosion, and a surge in snow and slush avalanches in the coming years.
The Avannaata municipality, created in 2018, encompasses the northwestern regions of Greenland, including four towns and 23 villages with a total of approximately 11,000 residents. Ilulissat, located in the south of the municipality, is the municipal administrative center with approximately 5000 inhabitants104, whereas Qaanaaq, located in the north, has more than 600 inhabitants104. The population is predominantly Indigenous (Kalaallit, Inughuit, and mixed Inuit-Danish) but includes many Danish Greenlanders and international residents, most of whom are transient. Greenland was a Danish colony until 1953 and progressively gained political and economic autonomy with the Home Rule in 1979 before being granted self-government and autonomy in all social spheres in 2009. Ilulissat was originally established in 1741 by a Danish missionary as a trading station under the colonial name Jakobshavn105. Currently, the mainstay of its economy is commercial fisheries and tourism, which, together with public services and construction, provide the most employment. Qaanaaq was founded more recently in 1953 as a relocation of Thule, where the United States Air Force constructed an air base106. Today, subsistence hunting and fishing, as well as the public and service sectors, are crucial for Qaanaaq’s economy. Ilulissat, its adjacent UNESCO World Heritage ice fjord, and the Qaanaaq area are also important hubs for climate and permafrost research.
Ilulissat and Qaanaaq had mean annual air temperatures of −3.7 and −8.9 °C during the periods of 1991–2020 and 1995–2020, respectively107. Air temperatures have increased globally at a rate of 0.37 °C/decade over Greenland from 1961 to 2015108. Both settlements are underlain by continuous permafrost, yet the mean annual ground temperatures at a two-meter depth ranged from −2.5 °C in Ilulissat to −7.5 °C in Qaanaaq in 2019 (Table 1). Between 2000 and 2019, the permafrost warmed at a slightly faster rate of 0.08 °C/yr in Ilulissat than in Qaanaaq at 0.06 °C/yr (Table 1). Most of the deglaciated terrains within the municipality are characterized by the presence of bedrock, limiting the threat of coastal erosion. However, owing to the often frost-susceptible nature of the sedimentary deposits in the region109,110, ground surface deformations induced by permafrost thaw are the most concerning hazardous process, especially because of their impacts on infrastructure and the resulting need for frequent repairs110. Although Qaanaaq residents currently experience more serious permafrost-related issues111, Ilulissat is facing increasing challenges linked to the need for town expansion due to growth in economic activities and a predicted increase in the number of residents, tourists, and foreign employees.
Main differences between and within communities/study areas
The study regions exhibit large disparities in societal and environmental factors. Societal differences encompass demographic characteristics, economic inequalities, and governance. Longyearbyen stands out as an international university and tourist settler community with strategic Arctic importance. In contrast, Greenland, Canada, and Russia are home to Indigenous communities that are deeply rooted in their cultural traditions. Within the Canadian study area, Inuvik differs greatly from Tuktoyaktuk, Fort McPherson, and Aklavik in terms of infrastructure, Indigenous population proportions, and various economic and societal factors. Inuvik’s history is tied to the relocation of residents from Aklavik, whereas Tuktoyaktuk faces coastal erosion challenges and a history closely intertwined with oil and gas extraction. Longyearbyen operates under a Western democratic system, whereas Greenland is moving toward greater self-determination and land ownership. The Canadian study area is characterized by Indigenous self-governance and comanagement systems within a Western nation-state framework. Finally, the Sakha Republic (Yakutiya) operates within yet another distinct regulatory context influenced by Russia’s centralized governance and lack of recognition of Indigenous land rightsholders.
All the study regions are underlain by continuous permafrost, but the surface characteristics and subsurface conditions vary. The ground temperatures of Longyearbyen and Greenland are higher but change more slowly than those of Canada and Russia, where temperatures are increasing rapidly (Table 1). Bykovskiy and Tiksi are situated on colder permafrost but experience the highest ground temperature increase rates observable across the Arctic (Table 1). Our study regions consist of coastal and inland communities, each facing unique challenges related to permafrost thaw. Their geological and permafrost characteristics (specific features of frozen ground and ice formations) vary considerably, impacting their susceptibility to erosion and ground instabilities. The topography ranges from mountainous to flat delta landscapes, influencing accessibility, and vulnerability to natural disasters. Distinct landforms and vegetation patterns, such as treeline presence or absence, contribute to the diverse ecological makeup of each region. In summary, our study areas encompass a rich diversity of characteristics, both in terms of human societies and the natural environment, thus representing a wide variety of Arctic contexts.
Primary data collection
The Nunataryuk project consisted of a consortium of twenty-six research institutes that carried out a comprehensive six-year investigation into rapidly changing permafrost regions in the Northern Hemisphere. The project aimed to answer pressing questions about the role of permafrost thaw in the global climate system and the consequences for ecosystems, the economy, the built environment, and the health of people living in Arctic (near-) coastal regions. Between 2017 and 2023, engineering, physical, environmental, social, and health scientists investigated permafrost thaw-related risks in the study areas (Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada), and the Bulunskiy District in the Sakha Republic (Russia)) (c.f. Fig. 1 and section “Description of the study areas”), which are characterized by the presence of continuous permafrost. The study areas, facing both shared and unique challenges associated with permafrost thaw, were mostly chosen on the basis of long-standing established research relationships. Our transdisciplinary methodological approach47,48 entailed combining diverse perspectives to ensure that scientific, Indigenous, and other local views were valued and integrated in the sense of a two-eyed seeing approach and multidirectional knowledge exchange18,112. This included capacity sharing, cross-cultural collaboration, and knowledge transfer at the policy and science interface113.
Throughout the study period, from 2017 to 2023, the scientists involved in the project conducted manifold investigations in the four study areas to improve their understanding of the causal relationships among the physical drivers, permafrost thaw hazards, and their societal consequences. In large-scale interdisciplinary projects such as Nunataryuk, quantifying the total volume of data retrieved by various researchers and describing all methods adopted in different study regions pose considerable difficulties. However, an overview of the carried out investigations is provided as follows. Within the physical, environmental and engineering sciences, specific attention was given to permafrost regimes and environmental changes. Geotechnical and geophysical investigations were performed and accompanied by hydrological surveys114, soil sampling115, and remote sensing studies116, which were combined with modeling117 and mapping53,118,119. Within health, social, and engineering sciences, workshops, public meetings, focus groups, a survey19,35,36, interviews, and informal conversations were held in the different regions to engage in knowledge exchanges with local rightsholders and stakeholders113. A detailed overview of these investigations can be found in Supplementary Table 1. Using this mixed methods approach, both researchers’ and locals’ observations and perceptions were gathered and integrated to obtain a comprehensive and inclusive representation of permafrost thaw risks impacting the different study areas. This information was gathered during the stage of primary data collection in a variety of disciplines, as described above, and provided the qualitative inputs for the risk analysis. The following section delves into the 3-step process of the risk analysis (Fig. 10 and Supplementary Table 2 for additional details), including data collection on risks within the consortium, thematic network analysis (permafrost thaw risk and hazard identification), and the risk ranking process, i.e., consortium ranking and local expert evaluation of framework and risks.
The diagram depicts the inputs, data collection, analysis steps, and outputs of both the primary data collection and risk analysis. RW and FW stand for risk workshop and framework workshop, respectively. IE refers to internal exchanges, whereas PP and TNA refer to physical processes and thematic network analysis, respectively. O1 stands for Output1, etc. The orange hexagon represents local rightsholders’ and stakeholders’ knowledge. The purple, yellow, petrol blue, green, and light blue hexagons symbolize health, social, engineering, environmental, and physical sciences, respectively.
Risk analysis (Steps 1 to 3)
A wide range of participants provided us with qualitative inputs from the early stages of the project (Primary data collection and Step 1 in Fig. 10), including community residents, hunters, Elders, land users, council members, scientists, Indigenous knowledge and rightsholders, municipal government administrators, urban planners, civic leaders, representatives from various professional sectors (construction, services, energy suppliers, fishing industry, etc.) and other local experts. During this process and until the end of the project, the consortium members maintained a continuous dialog and regularly consulted local stakeholders. Workshops (LEE, local expert evaluation, in Fig. 10) were finally held in Ilulissat (Greenland), Aklavik, Inuvik (Canada), and Longyearbyen (Svalbard, Norway) to present the findings from the risk analysis and gather local expert feedback and evaluations. This community-based participatory research approach18 was characterized by its responsiveness to local research needs and stakeholder engagement, achieved by collaborating intensely with community members.
Step 1: Data gathering within the consortium
Between 2018 and 2021, we collaborated with the consortium scientists to consolidate knowledge regarding permafrost thaw risks obtained from their primary data collection in the study areas (c.f. section “Primary data collection” and Supplementary Table 1). Qualitative data pertaining to the physical processes linked to permafrost thaw, associated hazards, and resulting societal consequences for local communities were synthesized through a series of workshops and discussions (Step 1 in Fig. 10). One workshop (FW in Fig. 10), conducted in 2019, was focused on developing a comprehensive framework39 and defining the nature of risk as encompassing multiple dimensions (e.g., physical and social) and perceptions (O4 in Fig. 10). Two risk workshops (RW1 and RW2 in Fig. 10) were conducted during the general assemblies of the Nunataryuk project. During the first workshop held in 2019, participants were organized into regional break-out groups according to their specialization and tasked with defining risks and associated uncertainties, as well as identifying permafrost thaw-related concerns for humans (O1 in Fig. 10). The insights provided were then discussed in groups corresponding to the different study areas and within a panel discussion involving scientists and local (Indigenous) stakeholders. The second risk workshop was conducted online in 2021, where once again, participants were grouped according to their specialization. At this stage, the consortium scientists further refined and expanded upon the compiled examples to enumerate additional (direct and indirect) risks, physical processes, and consequences associated with permafrost thaw (O2 and O3 in Fig. 10). This two-year process resulted in the creation of a comprehensive inventory (O3 in Fig. 10), which was used as input in our risk analysis. On the basis of this inventory, we identified and ranked key risks from permafrost thaw in further collaboration with project scientists and local experts.
Step 2: Thematic network analysis—permafrost thaw risks and hazard identification
The data collected in Step 1 were analyzed through a thematic network approach and thus categorized on the basis of different risk components (Step 2 in Fig. 10). Thematic network analysis is a systematic method for organizing qualitative data, aiming to uncover underlying structures and to depict different orders of themes. Following Attride-Stirling56, the method consisted of systematically extracting the following:
-
lowest-order premises evident in texts (or basic themes), which in our case corresponded to the examples of permafrost thaw-related physical processes, hazardous events, and consequences provided by the scientists and local stakeholders in Step 1;
-
the categories of basic themes grouped together, which in our case were groups of physical processes, key hazards, and groups of societal consequences (life domains); and
-
the superordinate or global themes, which in our case were finally identified as the main components of risk, namely, the permafrost thaw-related physical processes, hazards, and societal consequences.
These global themes (O5 in Fig. 10) were collaboratively determined during a third risk workshop involving social, health, and engineering scientists (RW3 in Fig. 10). Through a series of internal exchanges (IE TNA in Fig. 10), the thematic network analysis then led to the identification of categories of basic themes, including the formulation of the key hazards and categorization of the inputs gathered in Step 1 per group of physical processes and societal consequences (O6 in Fig. 10 and Table 2). The thematic network analysis finally underwent validation within the consortium through a last risk workshop (RW4 resulting in O7 in Fig. 10) and other internal exchanges. This systematic and iterative process engaged the consortium scientists in scrutinizing the results by examining and refining the groups of physical processes, the key hazards, and the groups of consequences, their definitions and basic themes.
Step 3: Risk ranking
Following the validation of the thematic network analysis, we ranked the importance of (i) the groups of physical processes triggering the occurrence of the key hazards and (ii) the occurrence of the key hazards causing consequences for life domains (CR, consortium ranking, in Fig. 10). Subsequently, the outcomes of these deliberations were returned to the collaborating Arctic communities, who were invited to provide their own rankings of the key hazards and consequences, thus enabling a reciprocal interpretation of the results (LEE, local expert evaluation, in Fig. 10).
First, the relationships between the groups of physical processes and key hazards were ranked by physical, environmental and engineering scientists as a synthesized perspective across all study areas (i.e., same score for all study areas). Intradisciplinary expertise was specifically sought to verify the individual rankings of the physical processes (i.e., hydrologists verifying the weights given to hydrological cycles on given key hazards, etc.). Second, the expertise of social, health, and engineering scientists was used to rank the relationships between the key hazards and impacted life domains. In contrast with the physical processes, the importance of the consequences for life domains was assessed per study area by deliberating with scientists who had conducted studies in the respective communities. Values ranging from 0 to 2 were used as integer scores to rank the relationships between the groups of physical processes, key hazards, and groups of societal consequences. A value of 0 was given to the relationships assessed as irrelevant or least relevant, whereas a value of 2 was attributed to the most relevant relationships (O8 in Fig. 10).
The results of the risk analysis undertaken by the consortium were then shared with Arctic communities in early 2023. In particular, four workshops were organized in Ilulissat (Greenland), Aklavik, Inuvik (Canada), and Longyearbyen (Svalbard, Norway), during which local rightsholders and stakeholders were given the opportunity to rank the importance of the identified hazards and consequences for life domains within their community57. Approximately forty participants took part in the local expert evaluation workshop in Ilulissat, forty-two in Inuvik and Aklavik, and eleven in Longyearbyen57. To this end, the participants first evaluated the relevance of each key hazard as low or high by using green (low relevance) and red stickers (high relevance). Second, the consequences of the hazards on life domains, which were highlighted as pertinent, were evaluated as slightly, moderately, or very relevant using an unlimited number of corresponding green, yellow, and red stickers. Open discussions subsequently enabled the participants to express their perceptions of the local impacts of permafrost thaw and the challenges in managing permafrost thaw risks. Owing to the war between Russia and Ukraine, it was not possible to plan local expert evaluation workshops in the Bulunskiy District. This gap was partially mitigated through collaboration with outside researchers who had extensive prior experience working with Russian permafrost communities, thereby enhancing the robustness of our evaluation.
The risk workshop in Greenland took place in Ilulissat in January 2023 and consisted of individual meetings with stakeholders from different professional and ethnic backgrounds and an open community meeting. The workshop specifically focused on validating the identified key risks within the Avannaata municipality and gathering further local perceptions of risks. This first workshop enabled us to test and adapt the methodology in the other study areas. Within the Beaufort Sea region and the Mackenzie River Delta, several workshops and individual meetings were held in January and February 2023. A risk workshop was conducted in Inuvik with professionals representing Indigenous governments, local permafrost researchers, and local and regional organizations. A similar approach to the Ilulissat workshop was adopted to enable the participants to rank key hazards and consequences with stickers of different colors on the basis of their relevance. A workshop was then held in Aklavik, involving primarily members of the Aklavik Hunters and Trappers Committee. The Aklavik workshop group expressed greater concerns regarding all key hazards. For this reason, we adapted the methodology and distributed an unlimited number of green and red stickers to rank the importance of the key hazards. Thereafter, the number of green, yellow, and red stickers remained unlimited to assess the importance of the consequences for life domains. On Svalbard, the risk workshop was held in Longyearbyen in March 2023, again bringing together early career and senior researchers from diverse disciplines, including environmental, engineering, health, and social sciences, working on various permafrost projects and representatives from local authorities. During the risk workshops, key permafrost thaw hazards and their consequences for life domains were discussed and ranked. In addition, at all three study sites, the state of permafrost research, indicators of permafrost thaw impacts120, and ways forward were addressed in dedicated sessions.
The rankings derived during each of the community risk workshops with colored stickers (referred to as local expert rankings) were translated to integer scores via a scale similar to that of the consortium (O9 in Fig. 10). The green, yellow, and red stickers were assigned values of 0 for irrelevance or lowest relevance, 1 for moderate relevance, and 2 for highest relevance, respectively. Therefore, key hazards that had received only green stickers from participants were considered irrelevant in the study area in question. The relationships between these hazards and the six groups of consequences (life domains) were accordingly given scores of 0. For the key hazards that received red stickers (signifying their importance in the study area), local rankings of the consequences were then computed by summing the integer scores associated with the sticker colors and dividing the sum by the total number of stickers. For example, if the consequences of infrastructure failure on the life ___domain costs and economy received two yellow and three red stickers within a study area, the final ranking of the relationship between infrastructure failure and costs and economy would be equal to 1.6 (i.e., (2 * 1 + 3 * 2)/5).
To obtain the final rankings representing the importance of the relationships between the key hazards and impacted life domains, the local expert rankings were then averaged together with the consortium rankings for each hazard-life ___domain connection and per study area. By averaging the rankings, we gave equal weight to both scientific and local perceptions, thereby considering them as a spectrum rather than as entirely distinct viewpoints. In the case of the Beaufort Sea/Delta region specifically, the scores gathered during both the Inuvik and Aklavik workshops were averaged together with the consortium rankings. In the case of the Bulunskiy District, only the consortium rankings were available to characterize the severity of permafrost thaw consequences.
The permafrost thaw risk levels resulting from our analysis were represented as risk graphics (O10 in Fig. 10). Local risk graphics (Figs. 6 to 9) were generated per region, allowing us to compare the study areas. In addition, a risk graphic (Fig. 2) providing a composite overview across the four study areas was produced by averaging the rankings of all the sites. This synthesis of the different study areas is where the novelty of our research resides, identifying key risks of permafrost thaw, not only in sectoral case studies but also across disciplines, stakeholder perceptions, and permafrost localities. The connections between the groups of physical processes and key hazards represented on the composite risk graphic were derived from the consortium rankings. In contrast, the connections between the key hazards and the groups of consequences (life domains) represented in the local and composite risk graphics were calculated by averaging the consortium and local expert rankings, as explained previously. The connections were finally visualized as follows in all the risk graphics: ranking <0.5: not represented, [0.5–1]: least relevant, [1–1.5]: somewhat relevant, [1.5–2]: very relevant.
Methodological challenges
The iterative methodological process we have described underscores the collaborative approach to risk analysis and the integration of a wide range of knowledge sources. Moreover, during our study, we encountered several limitations and challenges that influenced the organization and outcomes of our risk analysis, and that will necessitate careful consideration in future research efforts. External factors, such as the Russian war on Ukraine and the global COVID-19 pandemic, introduced additional complexities to our research environment. Notable challenges also arose from the need to integrate different scientific disciplines and their methodologies, as well as the diverse perceptions of risk among various stakeholders. Importantly, risk definitions and perceptions can vary significantly among scientific disciplines, individuals, and communities. These variations are influenced by a wide array of factors, including the level of transience, place attachment, cultural background, livelihood, occupation, educational level, socioeconomic status, governance structure, and personal beliefs (including religious and political views). Furthermore, value systems, the knowledge base, knowledge sharing, and the degree to which different types of knowledge are integrated influence risk perception. Within the scientific community, for example, risk perception is also influenced by individuals’ scientific backgrounds and areas of specialization. Locally, it is often challenging to single out permafrost thaw-induced challenges from broader issues associated with climate change within community perceptions. Similarly, isolating the impacts of permafrost thaw from other anthropogenic and environmental factors remains difficult. Permafrost risks result from multidirectional and multifactorial relationships, and local observers often do not distinguish between different causes and impacts of changes. These diverse elements, coupled with local complexities in permafrost and geological characteristics, play pivotal roles in shaping how risks are perceived and how communities respond to them. Finally, although we addressed some of the main factors, we did not conduct an in-depth analytical comparison identifying what causes the differences between the case studies. This is a possible next step to be taken in future research.
Data availability
The results of the thematic network analysis and risk ranking are openly available on Zenodo.org at https://doi.org/10.5281/zenodo.14173601.
Change history
25 March 2025
A Correction to this paper has been published: https://doi.org/10.1038/s43247-025-02204-5
References
Ramage, J. et al. Population living on permafrost in the Arctic. Popul. Environ. 43, 1–17 (2021).
Ran, Y. et al. Biophysical permafrost map indicates ecosystem processes dominate permafrost stability in the northern hemisphere. Environ. Res. Lett. 16, 095010 (2021).
Biskaborn, B. K. et al. Permafrost is warming at a global scale. Nat. Commun. 10, 264 (2019).
Li, G. et al. Changes in permafrost extent and active layer thickness in the northern hemisphere from 1969 to 2018. Sci. Total Environ. 804, 150182 (2022).
Smith, S. L., O’Neill, H. B., Isaksen, K., Noetzli, J. & Romanovsky, V. E. The changing thermal state of permafrost. Nat. Rev. Earth Environ. 3, 10–23 (2022).
Rowland, J. et al. Arctic landscapes in transition: responses to thawing permafrost. EOS Trans. Am. Geophys. Union 91, 229–230 (2010).
Vincent, W. F., Lemay, M. & Allard, M. Arctic permafrost landscapes in transition: towards an integrated earth system approach. Arct. Sci. 3, 39–64 (2017).
Stephen, K. Societal impacts of a rapidly changing Arctic. Curr. Clim. Change Rep. 4, 223–237 (2018).
Da Cunha, C. et al. Adaptive capacity for climate change: Local initiatives and federal planning. the case of Tiksi, Sakha republic, Russia. Polar Sci. 31, 100761 (2022).
Østhagen, A. in Global Development in the Arctic: International Cooperation for the Future 6 (Routledge, 2022).
Koven, C. D. et al. Permafrost carbon-climate feedbacks accelerate global warming. Proc. Natl Acad. Sci. USA 108, 14769–14774 (2011).
Schaefer, K., Lantuit, H., Romanovsky, V. E., Schuur, E. A. & Witt, R. The impact of the permafrost carbon feedback on global climate. Environ. Res. Lett. 9, 085003 (2014).
Schuur, E. A. et al. Climate change and the permafrost carbon feedback. Nature 520, 171–179 (2015).
Natali, S. M. et al. Permafrost carbon feedbacks threaten global climate goals. Proc. Natl Acad. Sci. USA 118, e2100163118 (2021).
Frey, K. E. & McClelland, J. W. Impacts of permafrost degradation on arctic river biogeochemistry. Hydrol. Process. Int. J. 23, 169–182 (2009).
Crate, S. et al. Permafrost livelihoods: a transdisciplinary review and analysis of thermokarst-based systems of indigenous land use. Anthropocene 18, 89–104 (2017).
Ford, J. D., Pearce, T., Canosa, I. V. & Harper, S. The rapidly changing Arctic and its societal implications. Wiley Interdiscip. Rev. Clim. Change 12, e735 (2021).
Gibson, C. M., Brinkman, T., Cold, H., Brown, D. & Turetsky, M. Identifying increasing risks of hazards for northern land-users caused by permafrost thaw: integrating scientific and community-based research approaches. Environ. Res. Lett. 16, 064047 (2021).
Ramage, J., Jungsberg, L., Meyer, A. & Gartler, S. ‘No longer solid’: perceived impacts of permafrost thaw in three arctic communities. Polar Geogr. 45, 226–239 (2022).
Streletskiy, D. A., Suter, L. J., Shiklomanov, N. I., Porfiriev, B. N. & Eliseev, D. O. Assessment of climate change impacts on buildings, structures and infrastructure in the Russian regions on permafrost. Environ. Res. Lett. 14, 025003 (2019).
Ingeman-Nielsen, T. et al. Built Infrastructure, 261–306 (Arctic Monitoring and Assessment Programme (AMAP), 2018).
Doré, G., Stephani, E. & Lepage, J. M. An overview of major engineering challenges for developing transportation infrastructure in northern Canada. School Public Policy Publ. 15, 14 (2022).
Hjort, J. et al. Impacts of permafrost degradation on infrastructure. Nat. Rev. Earth Environ. 3, 24–38 (2022).
Irrgang, A. M., Lantuit, H., Gordon, R. R., Piskor, A. & Manson, G. K. Impacts of past and future coastal changes on the Yukon coast-threats for cultural sites, infrastructure, and travel routes. Arct. Sci. 5, 107–126 (2019).
Doloisio, N. & Vanderlinden, J.-P. The perception of permafrost thaw in the Sakha republic (Russia): Narratives, culture and risk in the face of climate change. Polar Sci. 26, 100589 (2020).
Nicu, I. C., Lombardo, L. & Rubensdotter, L. Preliminary assessment of thaw slump hazard to arctic cultural heritage in Nordenskiöld land, Svalbard. Landslides 18, 2935–2947 (2021).
Crate, S. A. Once upon the permafrost: Knowing Culture and Climate Change in Siberia (University of Arizona Press, 2022).
Vonk, J. E. et al. Reviews and syntheses: effects of permafrost thaw on arctic aquatic ecosystems. Biogeosciences 12, 7129–7167 (2015).
Vucic, J. M. et al. Changes in water quality related to permafrost thaw may significantly impact zooplankton in small Arctic lakes. Ecol. Appl. 30, e02186 (2020).
White, D. M., Gerlach, S. C., Loring, P., Tidwell, A. C. & Chambers, M. C. Food and water security in a changing Arctic climate. Environ. Res. Lett. 2, 045018 (2007).
Maslakov, A. A. et al. Community ice cellars in Eastern Chukotka: climatic and anthropogenic influences on structural stability. Geogr. Environ. Sustain. 13, 49–56 (2020).
Stella, E., Mari, L., Gabrieli, J., Barbante, C. & Bertuzzo, E. Permafrost dynamics and the risk of Anthrax transmission: a modelling study. Sci. Rep. 10, 16460 (2020).
Basu, N. et al. The impact of mercury contamination on human health in the Arctic: a state of the science review. Sci. Total Environ. 831, 154793 (2022).
Hung, H. et al. Climate change influence on the levels and trends of persistent organic pollutants (pops) and chemicals of emerging Arctic concern (Ceacs) in the Arctic physical environment–a review. Environ. Sci. Process. Impacts 24, 1577–1615 (2022).
Timlin, U., Ramage, J., Gartler, S., Nordström, T. & Rautio, A. Self-rated health, life balance and feeling of empowerment when facing impacts of permafrost thaw-a case study from northern Canada. Atmosphere 13, 789 (2022).
Timlin, U., Meyer, A., Nordström, T. & Rautio, A. Permafrost thaw challenges and life in svalbard. Curr. Res. Environ. Sustain. 4, 100122 (2022).
McNeeley, S. M. & Lazrus, H. The cultural theory of risk for climate change adaptation. Weather Clim. Soc. 6, 506–519 (2014).
Yua, E., Raymond-Yakoubian, J., Daniel, R. A. & Behe, C. A framework for co-production of knowledge in the context of arctic research. Ecol. Soc. 27, 34 (2022).
Larsen, J. N. et al. Thawing permafrost in arctic coastal communities: a framework for studying risks from climate change. Sustainability 13, 2651 (2021).
Nelson, F. E., Anisimov, O. A. & Shiklomanov, N. I. Climate change and hazard zonation in the circum-arctic permafrost regions. Nat. Hazards 26, 203–225 (2002).
Hong, E., Perkins, R. & Trainor, S. Thaw settlement hazard of permafrost related to climate warming in Alaska. Arctic 67, 93–103 (2014).
Hjort, J. et al. Degrading permafrost puts Arctic infrastructure at risk by mid-century. Nat. Commun. 9, 5147 (2018).
Patton, A. I., Rathburn, S. L. & Capps, D. M. Landslide response to climate change in permafrost regions. Geomorphology 340, 116–128 (2019).
Haeberli, W., Whiteman, C. A. & Shroder, J. F. Snow and Ice-related Hazards, Risks, and Disasters, Vol. 10 (Elsevier Amsterdam, The Netherlands, 2021).
Allard, M. et al. Facing the challenge of permafrost thaw in Nunavik communities: innovative integrated methodology, lessons learnt, and recommendations to stakeholders. Arctic Sci. 9, 3 (2023).
Liu, J. et al. Complexity of coupled human and natural systems. Science 317, 1513–1516 (2007).
Holzer, J. M., Carmon, N. & Orenstein, D. E. A methodology for evaluating transdisciplinary research on coupled socio-ecological systems. Ecol. Indic. 85, 808–819 (2018).
Rigolot, C. Transdisciplinarity as a discipline and a way of being: complementarities and creative tensions. Humanit. Soc. Sci. Commun. 7, 1–5 (2020).
Sjöberg, Y., Bouchard, F., Gartler, S., Bartsch, A. & Zona, D. Focus on arctic change: transdisciplinary research and communication. Environ. Res. Lett. 18, 010201–010201 (2023).
Brown, J., Sidlauskas, F. J. & Delinski, G. Circum-Arctic Map of Permafrost and Ground Ice Conditions. (US Geological Survey Reston, VA, 1997).
Lantuit, H. et al. The Arctic coastal dynamics database: a new classification scheme and statistics on arctic permafrost coastlines. Estuar. Coasts 35, 383–400 (2012).
Obu, J. et al. Northern hemisphere permafrost map based on ttop modelling for 2000–2016 at 1 km2 scale. Earth-Sci. Rev. 193, 299–316 (2019).
Irrgang, A. M. et al. Drivers, dynamics and impacts of changing arctic coasts. Nat. Rev. Earth Environ. 3, 39–54 (2022).
Doering, N. N. et al. Improving the relationships between indigenous rights holders and researchers in the Arctic: an invitation for change in funding and collaboration. Environ. Res. Lett. 17, 065014 (2022).
Mercer, L., Whalen, D., Pokiak, D.-L., Lim, M. & Mann, P. J. Ensuring continuity and impact in arctic monitoring: a solution-orientated model for community-based environmental research. Environ. Res. Ecol. 2, 045001 (2023).
Attride-Stirling, J. Thematic networks: an analytic tool for qualitative research. Qual. Res. 1, 385–405 (2001).
Ingeman-Nielsen, T. et al. Multidisciplinary workshops for early career researchers in Arctic social sciences and engineering. https://doi.org/10.5281/zenodo.10556213 (2024).
Strzelecki, M. C. & Jaskólski, M. W. Arctic tsunamis threaten coastal landscapes and communities–survey of karrat isfjord 2017 tsunami effects in Nuugaatsiaq, Western Greenland. Nat. Hazards Earth Syst. Sci. 20, 2521–2534 (2020).
Whalen, D. et al. Mechanisms, volumetric assessment, and prognosis for rapid coastal erosion of Tuktoyaktuk island, an important natural barrier for the harbour and community. Can. J. Earth Sci. 59, 945–960 (2022).
Nicu, I. C., Stalsberg, K., Rubensdotter, L., Martens, V. V. & Flyen, A.-C. Coastal erosion affecting cultural heritage in Svalbard. A case study in Hiorthhamn (Adventfjorden)-An abandoned mining settlement. Sustainability 12, 2306 (2020).
Radosavljevic, B. et al. Erosion and flooding-threats to coastal infrastructure in the Arctic: a case study from Herschel island, Yukon territory, Canada. Estuar. Coasts 39, 900–915 (2016).
Permafrost Subcommittee. Glossary of Permafrost and Related Ground-Ice Terms (Associate Committee on Geotechnical Research, National Research Council of Canada, Ottawa, 1988).
Pearce, T., Ford, J., Willox, A. C. & Smit, B. Inuit traditional ecological knowledge (tek), subsistence hunting and adaptation to climate change in the Canadian Arctic. Arctic 68, 233–245 (2015).
Evengard, B., Berner, J., Brubaker, M., Mulvad, G. & Revich, B. Climate change and water security with a focus on the Arctic. Glob. Health Action 4, 8449 (2011).
Andrachuk, M. & Smit, B. Community-based vulnerability assessment of Tuktoyaktuk, NWT, Canada to environmental and socio-economic changes. Region. Environ. Change 12, 867–885 (2012).
Andrachuk, M. & Pearce, T. Community Adaptation and Vulnerability in Arctic Regions. 63–81 (Springer, 2010).
Schindler, D. W. & Smol, J. P. Cumulative effects of climate warming and other human activities on freshwaters of arctic and subarctic North America. AMBIO J. Hum. Environ. 35, 160–168 (2006).
Alessa, L. et al. The Arctic water resource vulnerability index: an integrated assessment tool for community resilience and vulnerability with respect to freshwater. Environ. Manag. 42, 523–541 (2008).
AMAP. Biological Effects of Contaminants on Arctic Wildlife and Fish. (Arctic Monitoring and Assessment Programme (AMAP) Tromsø, Norway, 2018).
Cabrerizo, A. et al. Legacy and emerging persistent organic pollutants (pops) in terrestrial compartments in the high arctic: Sorption and secondary sources. Environ. Sci. Technol. 52, 14187–14197 (2018).
AMAP. Pops and Chemicals of Emerging Arctic Concern: Influence of Climate Change. (Arctic Monitoring and Assessment Programme (AMAP) Tromsø, Norway, 2021).
AMAP. Mercury in the Arctic. (Arctic Monitoring and Assessment Programme (AMAP) Tromsø, Norway, 2021).
Langer, M. et al. Thawing permafrost poses environmental threat to thousands of sites with legacy industrial contamination. Nat. Commun. 14, 1721 (2023).
McKenzie, C. H. et al. Three decades of Canadian marine harmful algal events: Phytoplankton and phycotoxins of concern to human and ecosystem health. Harmful Algae 102, 101852 (2021).
Inuvialuit Regional Corporation. Inuvialuit Settlement Region Climate Change Strategy. https://changingclimate.ca/map/inuvialuit-regional-corporation-climate-change-strategy/. Accessed 25 July 2024.
NWT Bureau of Statistics. Population Estimates by Community. https://www.statsnwt.ca/population/population-estimates/bycommunity.php. Accessed 25 July 2024.
Inuvialuit Regional Corporation. Aklavik. https://irc.inuvialuit.com/about-irc/community/aklavik/. Accessed 25 July 2024.
Krause, F. The tempo of solid fluids: On river ice, permafrost, and other melting matter in the Mackenzie delta. Theory Cult. Soc. 39, 31–52 (2022).
Hamlet of Tuktoyaktuk. Welcome to the Hamlet of Tuktoyaktuk website. https://tuktoyaktuk.ca/. Accessed 25 July 2024.
Hamlet of Fort McPherson. Fort Mcpherson—A Brief History. http://www.fortmcpherson.ca/AboutUs. Accessed 25 July 2024.
Hammar, J., Grünberg, I., Kokelj, S. V., van der Sluijs, J. & Boike, J. Snow accumulation, albedo and melt patterns following road contruction on permafrost, Inuvik-tuktoyaktuk highway, Canada. Cryosphere Discuss. 2023, 1–22 (2023).
Burn, C. R. & Kokelj, S. V. The environment and permafrost of the Mackenzie delta area. Permafr. Periglac. Process. 20, 83–105 (2009).
Andrews, T. D. et al. Permafrost thaw and aboriginal cultural landscapes in the Gwich’in region, Canada. APT Bull. J. Preserv. Technol. 47, 15–22 (2016).
Bush, E. & Lemmen, D. S. Canada’s Changing Climate Report (Government of Canada, 2019).
Ford, J. D., Couture, N., Bell, T. & Clark, D. G. Climate change and Canada’s north coast: Research trends, progress, and future directions. Environ. Rev. 26, 82–92 (2018).
Worden, E. et al. Social-ecological changes and implications for understanding the declining beluga whale (Delphinapterus leucas) harvest in Aklavik, northwest territories. Arct. Sci. 6, 229–246 (2020).
Box, J. E. et al. Key indicators of arctic climate change: 1971–2017. Environ. Res. Lett. 14, 045010 (2019).
Asong, Z. E. et al. High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie river basin. Earth Syst. Sci. Data 12, 629–645 (2020).
Wesche, S. D. & Chan, H. M. Adapting to the impacts of climate change on food security among Inuit in the western Canadian Arctic. EcoHealth 7, 361–373 (2010).
Lantz, T. C. & Kokelj, S. V. Increasing rates of retrogressive thaw slump activity in the Mackenzie delta region, NWT, Canada. Geophys. Res. Lett. 35, L06502 (2008).
Lantz, T. & Turner, K. Changes in lake area in response to thermokarst processes and climate in old Crow Flats, Yukon. J. Geophys. Res. Biogeosci. 120, 513–524 (2015).
Lantuit, H. & Pollard, W. Fifty years of coastal erosion and retrogressive thaw slump activity on Herschel Island, southern Beaufort sea, Yukon Territory, Canada. Geomorphology 95, 84–102 (2008).
Cunliffe, A. M. et al. Rapid retreat of permafrost coastline observed with aerial drone photogrammetry. Cryosphere 13, 1513–1528 (2019).
Schweitzer, P. & Povoroznyuk, O. Infrastructural legacies and post-soviet transformations in northern Sakha (Yakutiya), Russia. J. Environ. Policy Plan. 24, 297–308 (2022).
Povoroznyuk, O. & Schweitzer, P. Ignoring environmental change? On fishing quotas and collapsing coastlines in Bykovskiy, Northern Sakha (Yakutiya). Ambio 52, 1211–1220 (2023).
Tarbeeva, A., Tikhonravova, Y., Lebedeva, L., Kut, A. & Shamov, V. Causes and processes of thermo-erosional gully initiation near Tiksi settlement, Arctic Eastern Siberia. Permafrost Periglac. Process. 35, 357–372 (2024).
Konstantinov, P. et al. Impact of climate change on the ground thermal regime in the lower Lena region, Arctic central Siberia. Land 12, 19 (2022).
Lantuit, H. et al. Coastal erosion dynamics on the permafrost-dominated Bykovsky peninsula, north Siberia, 1951–2006. Polar Res. 30, 7341 (2011).
Nielsen, D. M., Dobrynin, M., Baehr, J., Razumov, S. & Grigoriev, M. Coastal erosion variability at the southern Laptev sea linked to winter sea ice and the Arctic oscillation. Geophys. Res. Lett. 47, e2019GL086876 (2020).
Sokolíčková, Z., Meyer, A. & Vlakhov, A. V. Changing Svalbard: Tracing interrelated socio-economic and environmental change in remote arctic settlements. Polar Record 58, 1–12 (2022).
Nordli, Ø. et al. Revisiting the extended Svalbard airport monthly temperature series, and the compiled corresponding daily series 1898–2018. Polar Res. 39, 3614 (2020).
Hanssen-Bauer, I. et al. Climate in svalbard 2100. A knowledge base for climate adaptation (2019).
Norsk Klimaservicesenter. Klimaprofil Longyearbyen. et Kunnskapsgrunnlag for Klimatilpasning (2019). https://klimaservicesenter.no/kss/klimaprofiler/longyearbyen. Accessed 25 July 2024.
Statistics Greenland. Average Monthly Air Temperature [ene1mid]. https://bank.stat.gl/pxweb/en/Greenland/Greenland__EN__EN30/ENX1MID.px/. Accessed 25 July 2024.
Avannaata Kommunia. Ilulissat—History of the Town. https://kommuneplania.avannaata.gl/en/towns-and-settlements/ilulissat/. Accessed 25 July 2024.
Avannaata Kommunia. Qaanaaq—History of the Town. https://kommuneplania.avannaata.gl/en/towns-and-settlements/qaanaaq/. Accessed 14 July 2024.
Cappelen, J. & Drost Jensen, C. Climatological standard normals 1991–2020—greenland the climate of greenland—with climatological standard normals 1991-2020. Tech. Rep. 21–12 (Danish Meteorological Institute, 2021).
Zastruzny, S. F., Ingeman-Nielsen, T., Zhang, W. & Elberling, B. Accelerated permafrost thaw and increased drainage in the active layer: responses from experimental surface alteration. Cold Reg. Sci. Technol. 212, 103899 (2023).
Rasch, M. Holocene relative sea level changes in disko bugt, west greenland. J. Coast. Res. 16, 306–315 (2000).
Scheer, J., Tomaškovičová, S. & Ingeman-Nielsen, T. Thaw settlement susceptibility mapping for roads on permafrost-towards climate-resilient and cost-efficient infrastructure in the arctic. Cold Reg. Sci. Technol. 220, 104136 (2024).
Jungsberg, L. et al. Adaptive capacity to manage permafrost degradation in northwest Greenland. Polar Geogr. 45, 58–76 (2022).
Abu, R., Reed, M. G. & Jardine, T. D. Using two-eyed seeing to bridge Western science and indigenous knowledge systems and understand long-term change in the Saskatchewan river delta, Canada. Int. J. Water Resour. Dev. 36, 757–776 (2019).
Larsen, J. N. et al. Risk model, with identified key risks. https://doi.org/10.5281/zenodo.7569426 (2023).
Tanski, G. et al. Rapid Co2 release from eroding permafrost in seawater. Geophys. Res. Lett. 46, 11244–11252 (2019).
Schuster, P. F. et al. Permafrost stores a globally significant amount of mercury. Geophys. Res. Lett. 45, 1463–1471 (2018).
Bartsch, A. et al. Expanding infrastructure and growing anthropogenic impacts along arctic coasts. Environ. Res. Lett. 16, 115013 (2021).
Miesner, F. et al. Subsea permafrost organic carbon stocks are large and of dominantly low reactivity. Sci. Rep. 13, 9425 (2023).
Nielsen, D. M. et al. Increase in arctic coastal erosion and its sensitivity to warming in the twenty-first century. Nat. Clim. Change 12, 263–270 (2022).
Vonk, J., Speetjens, N. & Poste, A. Small watersheds may play a disproportionate role in arctic land-ocean fluxes. Nat. Commun. 14, 3442 (2023).
Schweitzer, P. et al. Indicators of permafrost thaw impacts and of adaptation effectiveness in Arctic coastal communities. https://doi.org/10.5281/zenodo.10891316 (2024).
Obu, J. et al. Esa permafrost climate change initiative (permafrost_cci): Permafrost ground temperature for the northern hemisphere, v3.0. Dataset available online at: https://doi.org/10.5285/b25d4a6174de4ac78000d034f500a268 (2021).
Nordregio. Total Arctic Population on Settlemental Level in 2017 (500+ inhab). Dataset available online at: https://doi.org/10.1594/PANGAEA.895745 (2018).
Overduin, P. P. et al. Submarine Permafrost Map (SuPerMAP), modeled with CryoGrid 2, Circum-Arctic. Dataset available online at: https://doi.org/10.1594/PANGAEA.910540 (2020). Supplement to: Overduin, P. P., Schneider von Deimling, T., Miesner, F., Grigoriev, M. N., Ruppel, C. D., Vasiliev, A. A, Lantuit, H., Juhls, B., Westermann, S. Submarine permafrost map in the Arctic modeled using 1-D transient heat flux (SuPerMAP). J. Geophys. Res. Oceans 124 https://doi.org/10.1029/2018JC014675 3490–3507 (2019).
OpenStreetMap Contributors. Geographical Administrative Boundaries. Dataset available online at: https://www.openstreetmap.org and licensed under the Open Data Commons Open Database License (https://www.openstreetmap.org/copyright) by the OpenStreetMap Foundation (2024).
Westerveld, L. et al. Arctic Permafrost Atlas (Grid-Arendal, 2023). https://www.grida.no/publications/998. Accessed 6 December 2024.
Acknowledgements
This research has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 773421 (Nunataryuk) and from the EU Horizon Europe, grant agreement No. 101133587 (ILLUQ). Parts of the research were conducted under UArctic funding from the Ministry of Higher Education and Science in Denmark and supported by InfraNorth (European Research Council Advanced Grant project, grant agreement No. 8856646) and the Academy of Finland (grant No. 356604). We would like to extend our deepest gratitude to all the contributors to this work over the years, including local communities, experts, knowledge holders, our Nunataryuk colleagues, and affiliated researchers. Special thanks to the Aklavik Hunters’ and Trappers Association, the Gwich’in Tribal Council, the Aurora Research Institute, Avannaata municipality, Nukissiorfiit, Longyearbyen Lokalstyre, the University Center in Svalbard, as well as the North-Eastern Federal University in Yakutsk, the Institute for Humanities Research and Indigenous Issues, and the Permafrost Institute n.a. Melnikov of the Russian Academy of Sciences. We would also like to express our appreciation to Grid Arendal, as well as Sebastian Laboor (Alfred Wegener Institute) for his valuable assistance in mapping the study areas, and to our reviewers for their insightful feedback and suggestions.
Funding
Open access funding provided by Umea University.
Author information
Authors and Affiliations
Contributions
Susanna Gartler, Johanna Scheer, and Alexandra Meyer organized and supervised the data collection for the risk analysis through internal consortium workshops and follow-up meetings. Susanna Gartler, Johanna Scheer, Alexandra Meyer, Khaled Abass, Annett Bartsch, Natalia Doloisio, Jade Falardeau, Gustaf Hugelius, Anna Irrgang, Jón Haukur Ingimundarson, Leneisja Jungsberg, Hugues Lantuit, Joan Nymand Larsen, Rachele Lodi, Victoria Sophie Martin, Louise Mercer, David Nielsen, Paul Overduin, Olga Povoroznyuk, Arja Rautio, Peter Schweitzer, Niek Jesse Speetjen, Soňa Tomaškovičová, Ulla Timlin, Jean-Paul Vanderlinden, Jorien Vonk, Levi Westerveld, Thomas Ingeman-Nielsen, as well as other members of the Nunataryuk consortium, contributed with their data and knowledge throughout this process. Susanna Gartler, Johanna Scheer, Alexandra Meyer, Leneisja Jungsberg, Joan Nymand Larsen, Arja Rautio, Peter Schweitzer, Ulla Timlin, and Thomas Ingeman-Nielsen acquired the funding for the risk workshops. Susanna Gartler, Alexandra Meyer, Jón Haukur Ingimundarson, Leneisja Jungsberg, Joan Nymand Larsen, Paul Overduin, Arja Rautio, Peter Schweitzer, Ulla Timlin, Thomas Ingeman-Nielsen, and others organized the workshops in the study areas. Susanna Gartler, Johanna Scheer, and Alexandra Meyer performed the data processing and risk analysis and computed the risk rankings. Levi Westerveld designed the risk graphics, which were adapted to the data by Johanna Scheer. Susanna Gartler and Johanna Scheer produced the other figures. Susanna Gartler, Johanna Scheer, and Alexandra Meyer wrote the initial manuscript draft and the final manuscript and were primarily responsible for writing, editing, and revising. Susanna Gartler, Johanna Scheer, Alexandra Meyer, Khaled Abass, Annett Bartsch, Natalia Doloisio, Jade Falardeau, Gustaf Hugelius, Anna Irrgang, Jón Haukur Ingimundarson, Leneisja Jungsberg, Hugues Lantuit, Joan Nymand Larsen, Rachele Lodi, Victoria Sophie Martin, Louise Mercer, David Nielsen, Paul Overduin, Olga Povoroznyuk, Arja Rautio, Peter Schweitzer, Niek Jesse Speetjen, Soňa Tomaškovičová, Ulla Timlin, Jean-Paul Vanderlinden, Jorien Vonk, Levi Westerveld, Thomas Ingeman-Nielsen supported the writing, editing and revision process.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Communications Earth & Environment thanks Chantel Nixon and Jennifer M. Holzer for their contribution to the peer review of this work. Primary handling editors: Martina Grecequet. A peer review file is available
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Gartler, S., Scheer, J., Meyer, A. et al. A transdisciplinary, comparative analysis reveals key risks from Arctic permafrost thaw. Commun Earth Environ 6, 21 (2025). https://doi.org/10.1038/s43247-024-01883-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s43247-024-01883-w