Climate migration amplifies demographic change and population aging

被引:15
|
作者
Hauer, Mathew E. [1 ,2 ]
Jacobs, Sunshine A. [1 ,2 ]
Kulp, Scott A. [3 ]
机构
[1] Florida State Univ, Dept Sociol, Tallahassee, FL 32306 USA
[2] Florida State Univ, Ctr Demog & Populat Hlth, Tallahassee, FL 32306 USA
[3] Climate Cent, Princeton, NJ 08542 USA
关键词
climate migration; sea-level rise; multiregional population projections; population aging; demographic amplification; SEA-LEVEL RISE; FUTURE; AGE; MODEL; SCENARIOS; DRIVERS; CITIES; TIDE;
D O I
10.1073/pnas.2206192119
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The warnings of potential climate migration first appeared in the scientific literature in the late 1970s when increased recognition that disintegrating ice sheets could drive people to migrate from coastal cities. Since that time, scientists have modeled potential climate migration without integrating other population processes, potentially obscuring the demographic amplification of this migration. Climate migration could amplify demographic change-enhancing migration to destinations and suppressing migration to origins. Additionally, older populations are the least likely to migrate, and climate migration could accelerate population aging in origin areas. Here, we investigate climate migration under sea-level rise (SLR), a single climatic hazard, and examine both the potential demographic amplification effect and population aging by combining matrix population models, flood hazard models, and a migration model built on 40 y of environmental migration in the United States to project the US population distribution of US counties. We find that the demographic amplification of SLR for all feasible Representative Concentration Pathway-Shared Socioeconomic Pathway (RCP-SSP) scenarios in 2100 ranges between 8.6-28 M [5.7-53 M]-5.3 and 18 times the number of migrants (0.4-10 M). We also project significant aging of coastal areas as youthful populations migrate but older populations remain, accelerating population aging in origin areas. As the percentage of the population lost due to climate migration increases, the median age also increases-up to 10+ y older in some highly impacted coastal counties. Additionally, our population projection approach can be easily adapted to investigate additional or multiple climate hazards.
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页数:8
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