Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis
The Arctic environment is experiencing profound and rapid changes that will have far-reaching implications for resilient and sustainable development at the local and global levels. To achieve sustainable Arctic futures, it is critical to equip policymakers and global and regional stake- and rights-h...
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MDPI AG
2022
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Online Access: | https://doi.org/10.3390/su142416493 https://doaj.org/article/162f98613d9249e3acb9cd67b41ac9c0 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:162f98613d9249e3acb9cd67b41ac9c0 2023-05-15T14:32:22+02:00 Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis Xun Zhu Timothy J. Pasch Mohamed Aymane Ahajjam Aaron Bergstrom 2022-12-01 https://doi.org/10.3390/su142416493 https://doaj.org/article/162f98613d9249e3acb9cd67b41ac9c0 en eng MDPI AG doi:10.3390/su142416493 2071-1050 https://doaj.org/article/162f98613d9249e3acb9cd67b41ac9c0 undefined Sustainability, Vol 14, Iss 16493, p 16493 (2022) arctic topic modeling network analysis arctic resiliency sustainable development permafrost envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.3390/su142416493 2023-01-22T18:10:22Z The Arctic environment is experiencing profound and rapid changes that will have far-reaching implications for resilient and sustainable development at the local and global levels. To achieve sustainable Arctic futures, it is critical to equip policymakers and global and regional stake- and rights-holders with knowledge and data regarding the ongoing changes in the Arctic environment. Community monitoring is an important source of environmental data in the Arctic but this research argues that community-generated data are under-utilized in the literature. A key challenge to leveraging community-based Arctic environmental monitoring is that it often takes the form of large, unstructured data consisting of field documents, media reports, and transcripts of oral histories. In this study, we integrated two computational approaches—topic modeling and network analysis—to identify environmental changes and their implications for resilience and sustainability in the Arctic. Using data from community monitoring reports of unusual environmental events in the Arctic that span a decade, we identified clusters of environmental challenges: permafrost thawing, infrastructure degradation, animal populations, and fluctuations in energy supply, among others. Leveraging visualization and analytical techniques from network science, we further identified the evolution of environmental challenges over time and contributing factors to the interconnections between these challenges. The study concludes by discussing practical and methodological contributions to Arctic resiliency and sustainability. Article in Journal/Newspaper Arctic permafrost Unknown Arctic Sustainability 14 24 16493 |
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arctic topic modeling network analysis arctic resiliency sustainable development permafrost envir geo |
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arctic topic modeling network analysis arctic resiliency sustainable development permafrost envir geo Xun Zhu Timothy J. Pasch Mohamed Aymane Ahajjam Aaron Bergstrom Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis |
topic_facet |
arctic topic modeling network analysis arctic resiliency sustainable development permafrost envir geo |
description |
The Arctic environment is experiencing profound and rapid changes that will have far-reaching implications for resilient and sustainable development at the local and global levels. To achieve sustainable Arctic futures, it is critical to equip policymakers and global and regional stake- and rights-holders with knowledge and data regarding the ongoing changes in the Arctic environment. Community monitoring is an important source of environmental data in the Arctic but this research argues that community-generated data are under-utilized in the literature. A key challenge to leveraging community-based Arctic environmental monitoring is that it often takes the form of large, unstructured data consisting of field documents, media reports, and transcripts of oral histories. In this study, we integrated two computational approaches—topic modeling and network analysis—to identify environmental changes and their implications for resilience and sustainability in the Arctic. Using data from community monitoring reports of unusual environmental events in the Arctic that span a decade, we identified clusters of environmental challenges: permafrost thawing, infrastructure degradation, animal populations, and fluctuations in energy supply, among others. Leveraging visualization and analytical techniques from network science, we further identified the evolution of environmental challenges over time and contributing factors to the interconnections between these challenges. The study concludes by discussing practical and methodological contributions to Arctic resiliency and sustainability. |
format |
Article in Journal/Newspaper |
author |
Xun Zhu Timothy J. Pasch Mohamed Aymane Ahajjam Aaron Bergstrom |
author_facet |
Xun Zhu Timothy J. Pasch Mohamed Aymane Ahajjam Aaron Bergstrom |
author_sort |
Xun Zhu |
title |
Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis |
title_short |
Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis |
title_full |
Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis |
title_fullStr |
Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis |
title_full_unstemmed |
Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis |
title_sort |
environmental monitoring for arctic resiliency and sustainability: an integrated approach with topic modeling and network analysis |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/su142416493 https://doaj.org/article/162f98613d9249e3acb9cd67b41ac9c0 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_source |
Sustainability, Vol 14, Iss 16493, p 16493 (2022) |
op_relation |
doi:10.3390/su142416493 2071-1050 https://doaj.org/article/162f98613d9249e3acb9cd67b41ac9c0 |
op_rights |
undefined |
op_doi |
https://doi.org/10.3390/su142416493 |
container_title |
Sustainability |
container_volume |
14 |
container_issue |
24 |
container_start_page |
16493 |
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1766305788477833216 |