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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Published in:Sustainability
Main Authors: Xun Zhu, Timothy J. Pasch, Mohamed Aymane Ahajjam, Aaron Bergstrom
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/su142416493
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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
collection MDPI Open Access Publishing
container_issue 24
container_start_page 16493
container_title Sustainability
container_volume 14
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.
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op_doi https://doi.org/10.3390/su142416493
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spelling ftmdpi:oai:mdpi.com:/2071-1050/14/24/16493/ 2025-01-16T20:02:00+00:00 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 agris 2022-12-09 application/pdf https://doi.org/10.3390/su142416493 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/su142416493 https://creativecommons.org/licenses/by/4.0/ Sustainability; Volume 14; Issue 24; Pages: 16493 arctic topic modeling network analysis arctic resiliency sustainable development permafrost degrading infrastructure arctic data visualization Text 2022 ftmdpi https://doi.org/10.3390/su142416493 2023-08-01T07:43:31Z 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. Text Arctic permafrost MDPI Open Access Publishing Arctic Sustainability 14 24 16493
spellingShingle arctic
topic modeling
network analysis
arctic resiliency
sustainable development
permafrost
degrading infrastructure
arctic data visualization
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
title 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_short 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
topic arctic
topic modeling
network analysis
arctic resiliency
sustainable development
permafrost
degrading infrastructure
arctic data visualization
topic_facet arctic
topic modeling
network analysis
arctic resiliency
sustainable development
permafrost
degrading infrastructure
arctic data visualization
url https://doi.org/10.3390/su142416493