Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security
There has been a growth in the number of composite indicator tools used to assess community risk, vulnerability, and resilience, to assist study and policy planning. However, existing research shows that these composite indicators vary extensively in method, selected variables, aggregation methods,...
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ftdoajarticles:oai:doaj.org/article:3a412efc57a149098a3a1bd2e2bf92a3 2023-10-29T02:34:21+01:00 Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security Lilian Alessa James Valentine Sean Moon Chris McComb Sierra Hicks Vladimir Romanovsky Ming Xiao Andrew Kliskey 2023-08-01T00:00:00Z https://doi.org/10.3390/geographies3030027 https://doaj.org/article/3a412efc57a149098a3a1bd2e2bf92a3 EN eng MDPI AG https://www.mdpi.com/2673-7086/3/3/27 https://doaj.org/toc/2673-7086 doi:10.3390/geographies3030027 2673-7086 https://doaj.org/article/3a412efc57a149098a3a1bd2e2bf92a3 Geographies, Vol 3, Iss 27, Pp 522-542 (2023) arctic infrastructure national security permafrost resilience permafrost vulnerability index Geography (General) G1-922 article 2023 ftdoajarticles https://doi.org/10.3390/geographies3030027 2023-10-01T00:38:14Z There has been a growth in the number of composite indicator tools used to assess community risk, vulnerability, and resilience, to assist study and policy planning. However, existing research shows that these composite indicators vary extensively in method, selected variables, aggregation methods, and sample size. The result is a plethora of qualitative and quantitative composite indices to choose from. Despite each providing valuable location-based information about specific communities and their qualities, the results of studies, each using disparate methods, cannot easily be integrated for use in decision making, given the different index attributes and study locations. Like many regions in the world, the Arctic is experiencing increased variability in temperatures as a direct consequence of a changing planetary climate. Cascading effects of changes in permafrost are poorly characterized, thus limiting response at multiple scales. We offer that by considering the spatial interaction between the effects of permafrost, infrastructure, and diverse patterns of community characteristics, existing research using different composite indices and frameworks can be augmented. We used a system-science and place-based knowledge approach that accounts for sub-system and cascade impacts through a proximity model of spatial interaction. An estimated ‘permafrost vulnerability surface’ was calculated across Alaska using two existing indices: relevant infrastructure and permafrost extent. The value of this surface in 186 communities and 30 military facilities was extracted and ordered to match the numerical rankings of the Denali Commission in their assessment of permafrost threat, allowing accurate comparison between the permafrost threat ranks and the PVI rankings. The methods behind the PVI provide a tool that can incorporate multiple risk, resilience, and vulnerability indices to aid adaptation planning, especially where large-scale studies with good geographic sample distribution using the same criteria and methods do ... Article in Journal/Newspaper Arctic permafrost Alaska Directory of Open Access Journals: DOAJ Articles Geographies 3 3 522 542 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
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arctic infrastructure national security permafrost resilience permafrost vulnerability index Geography (General) G1-922 |
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arctic infrastructure national security permafrost resilience permafrost vulnerability index Geography (General) G1-922 Lilian Alessa James Valentine Sean Moon Chris McComb Sierra Hicks Vladimir Romanovsky Ming Xiao Andrew Kliskey Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security |
topic_facet |
arctic infrastructure national security permafrost resilience permafrost vulnerability index Geography (General) G1-922 |
description |
There has been a growth in the number of composite indicator tools used to assess community risk, vulnerability, and resilience, to assist study and policy planning. However, existing research shows that these composite indicators vary extensively in method, selected variables, aggregation methods, and sample size. The result is a plethora of qualitative and quantitative composite indices to choose from. Despite each providing valuable location-based information about specific communities and their qualities, the results of studies, each using disparate methods, cannot easily be integrated for use in decision making, given the different index attributes and study locations. Like many regions in the world, the Arctic is experiencing increased variability in temperatures as a direct consequence of a changing planetary climate. Cascading effects of changes in permafrost are poorly characterized, thus limiting response at multiple scales. We offer that by considering the spatial interaction between the effects of permafrost, infrastructure, and diverse patterns of community characteristics, existing research using different composite indices and frameworks can be augmented. We used a system-science and place-based knowledge approach that accounts for sub-system and cascade impacts through a proximity model of spatial interaction. An estimated ‘permafrost vulnerability surface’ was calculated across Alaska using two existing indices: relevant infrastructure and permafrost extent. The value of this surface in 186 communities and 30 military facilities was extracted and ordered to match the numerical rankings of the Denali Commission in their assessment of permafrost threat, allowing accurate comparison between the permafrost threat ranks and the PVI rankings. The methods behind the PVI provide a tool that can incorporate multiple risk, resilience, and vulnerability indices to aid adaptation planning, especially where large-scale studies with good geographic sample distribution using the same criteria and methods do ... |
format |
Article in Journal/Newspaper |
author |
Lilian Alessa James Valentine Sean Moon Chris McComb Sierra Hicks Vladimir Romanovsky Ming Xiao Andrew Kliskey |
author_facet |
Lilian Alessa James Valentine Sean Moon Chris McComb Sierra Hicks Vladimir Romanovsky Ming Xiao Andrew Kliskey |
author_sort |
Lilian Alessa |
title |
Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security |
title_short |
Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security |
title_full |
Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security |
title_fullStr |
Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security |
title_full_unstemmed |
Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security |
title_sort |
toward a permafrost vulnerability index for critical infrastructure, community resilience and national security |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/geographies3030027 https://doaj.org/article/3a412efc57a149098a3a1bd2e2bf92a3 |
genre |
Arctic permafrost Alaska |
genre_facet |
Arctic permafrost Alaska |
op_source |
Geographies, Vol 3, Iss 27, Pp 522-542 (2023) |
op_relation |
https://www.mdpi.com/2673-7086/3/3/27 https://doaj.org/toc/2673-7086 doi:10.3390/geographies3030027 2673-7086 https://doaj.org/article/3a412efc57a149098a3a1bd2e2bf92a3 |
op_doi |
https://doi.org/10.3390/geographies3030027 |
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Geographies |
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3 |
container_issue |
3 |
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522 |
op_container_end_page |
542 |
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