Understanding the global subnational migration patterns driven by hydrological intrusion exposure
Amid the escalating global climatic challenges, hydrological risks significantly influence human settlement patterns, underscoring the imperative for an in-depth comprehension of hydrological change’s ramifications on human migration. However, predominant research has been circumscribed to the natio...
| Päätekijät: | , , , , , , , , , |
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| Aineistotyyppi: | Journal article |
| Kieli: | English |
| Julkaistu: |
Nature Research
2024
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| _version_ | 1826314803648397312 |
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| author | Qiao, R Gao, S Liu, X Xia, L Zhang, G Meng, X Liu, Z Wang, M Zhou, S Wu, Z |
| author_facet | Qiao, R Gao, S Liu, X Xia, L Zhang, G Meng, X Liu, Z Wang, M Zhou, S Wu, Z |
| author_sort | Qiao, R |
| collection | OXFORD |
| description | Amid the escalating global climatic challenges, hydrological risks significantly influence human settlement patterns, underscoring the imperative for an in-depth comprehension of hydrological change’s ramifications on human migration. However, predominant research has been circumscribed to the national level. The study delves into the nonlinear effects of hydrological risks on migration dynamics in 46,776 global subnational units. Meanwhile, leveraging remote sensing, we procured globally consistent metrics of hydrological intrusion exposure, offering a holistic risk assessment encompassing hazard, exposure, and vulnerability dimensions, thus complementing previous work. Here, we show that exposure is the primary migration driver, surpassing socioeconomic factors. Surrounding disparities further intensified exposure’s impact. Vulnerable groups, especially the economically disadvantaged and elderly, tend to remain in high-risk areas, with the former predominantly migrating within proximate vicinities. The nonlinear analysis delineates an S-shaped trajectory for hydrological exposure, transitioning from resistance to migration and culminating in entrapment, revealing dependence on settlement resilience and adaptability. |
| first_indexed | 2024-09-25T04:19:56Z |
| format | Journal article |
| id | oxford-uuid:1a6c15b5-b5de-426e-8dcd-43d33da308bc |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-12-09T03:13:35Z |
| publishDate | 2024 |
| publisher | Nature Research |
| record_format | dspace |
| spelling | oxford-uuid:1a6c15b5-b5de-426e-8dcd-43d33da308bc2024-10-16T09:22:09ZUnderstanding the global subnational migration patterns driven by hydrological intrusion exposureJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1a6c15b5-b5de-426e-8dcd-43d33da308bcEnglishJisc Publications RouterNature Research2024Qiao, RGao, SLiu, XXia, LZhang, GMeng, XLiu, ZWang, MZhou, SWu, ZAmid the escalating global climatic challenges, hydrological risks significantly influence human settlement patterns, underscoring the imperative for an in-depth comprehension of hydrological change’s ramifications on human migration. However, predominant research has been circumscribed to the national level. The study delves into the nonlinear effects of hydrological risks on migration dynamics in 46,776 global subnational units. Meanwhile, leveraging remote sensing, we procured globally consistent metrics of hydrological intrusion exposure, offering a holistic risk assessment encompassing hazard, exposure, and vulnerability dimensions, thus complementing previous work. Here, we show that exposure is the primary migration driver, surpassing socioeconomic factors. Surrounding disparities further intensified exposure’s impact. Vulnerable groups, especially the economically disadvantaged and elderly, tend to remain in high-risk areas, with the former predominantly migrating within proximate vicinities. The nonlinear analysis delineates an S-shaped trajectory for hydrological exposure, transitioning from resistance to migration and culminating in entrapment, revealing dependence on settlement resilience and adaptability. |
| spellingShingle | Qiao, R Gao, S Liu, X Xia, L Zhang, G Meng, X Liu, Z Wang, M Zhou, S Wu, Z Understanding the global subnational migration patterns driven by hydrological intrusion exposure |
| title | Understanding the global subnational migration patterns driven by hydrological intrusion exposure |
| title_full | Understanding the global subnational migration patterns driven by hydrological intrusion exposure |
| title_fullStr | Understanding the global subnational migration patterns driven by hydrological intrusion exposure |
| title_full_unstemmed | Understanding the global subnational migration patterns driven by hydrological intrusion exposure |
| title_short | Understanding the global subnational migration patterns driven by hydrological intrusion exposure |
| title_sort | understanding the global subnational migration patterns driven by hydrological intrusion exposure |
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