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Understanding the global subnational migration patterns driven by hydrological intrusion exposure

Environmental Studies and Forestry

Understanding the global subnational migration patterns driven by hydrological intrusion exposure

R. Qiao, S. Gao, et al.

This groundbreaking research, conducted by a team of experts, delves into the nonlinear effects of hydrological risks on migration dynamics across 46,776 subnational units globally. It uncovers that hydrological exposure surpasses socioeconomic factors as the primary driver of migration, especially among vulnerable populations, illuminating the intricate relationship between settlement resilience and adaptability.... show more
Abstract
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.
Publisher
Nature Communications
Published On
Jul 26, 2024
Authors
Renlu Qiao, Shuo Gao, Xiaochang Liu, Li Xia, Guobin Zhang, Xi Meng, Zhiyu Liu, Mo Wang, Shiqi Zhou, Zhiqiang Wu
Tags
hydrological risks
migration dynamics
exposure
vulnerability
nonlinear analysis
economic disadvantage
resilience
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