Population aging across the U.S. could lead to pockets of vulnerability to climate change

NewsGuard 100/100 Score

Population aging projections across the US show a divide between cities and rural areas, which could lead to pockets of vulnerability to climate change.

Rural parts of the US are aging more rapidly than urban areas, which could lead to greater vulnerability to climate change in those areas, according to new IIASA research.

The study, published in the journal Environmental Research Letters, provides new spatially explicit projections of the US population age structure over the 21st century under five socioeconomic scenarios developed for climate change research - the Shared Socioeconomic Pathways.

The question we were trying to answer in this research, was whether by simply assuming the same age distribution for all of the US would be sort of 'good enough' or if that would get the picture quite wrong because counties across the country do indeed vary a lot by their age structure and are therefore exposed to climate risks to different degrees. Once that question was answered, we could go on to look into what past spatial shifts in age-structure would imply for the future distribution of aging and thus climate vulnerability across the US."

Erich Striessnig, IIASA researcher

The study, which drew on 40 years of previous demographic data to build a model for future population aging, finds the most drastic population aging in thinly-populated counties in the Midwest and the Rocky Mountains. Meanwhile, cities and surrounding counties, especially in California, the Northeast, and mid-Atlantic, maintain a younger population age structure with a lower proportion in the most vulnerable 70+ age group.

This is a shift compared to historical trends, the researchers say. Until recently, aging in the US was relatively similar across neighboring counties, with the major differences in population structure between the South and Northeast. During the second half of the 20th century, however, the US population became much more mobile, which has led to an increased migration of young people out of rural areas and into cities.

The researchers say that this analysis is important for understanding climate change vulnerability. US climate change impacts will also vary regionally, with northern regions of the US expected to see the largest increases in the intensity of heatwaves, while chronic, long-duration drought will become increasingly likely in the Southwest. Combining societal projections with projections of environmental hazards such as heat waves, droughts, or floods can yield improved estimates of potential impacts on the most vulnerable segments of society with the potential for improving the rigor of intervention efforts and lowering their cost.

"The subnational breakdown of future assessments is becoming increasingly important, particularly in trying to predict future vulnerability to climate change," says Striessnig.

Source:
Journal reference:

Striessnig, E., et al. (2019) Empirically-based spatial projections of U.S. population age structure consistent with the shared socioeconomic pathways. Environmental Research Letters. doi.org/10.1088/1748-9326/ab4a3a.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Aging affects immune response and virus dynamics in COVID-19 patients, study finds