Avoiding population exposure to heat-related extremes: demographic change vs climate change

2018 ◽  
Vol 146 (3-4) ◽  
pp. 423-437 ◽  
Author(s):  
Bryan Jones ◽  
Claudia Tebaldi ◽  
Brian C. O’Neill ◽  
Keith Oleson ◽  
Jing Gao
2019 ◽  
Author(s):  
Guillaume Rohat ◽  
Andrew Monaghan ◽  
Mary H. Hayden ◽  
Sadie J. Ryan ◽  
Olga Wilhelmi

AbstractUnderstanding how climate change and demographic factors may shape future population exposure to viruses such as Zika, dengue, or chikungunya, transmitted by Aedes mosquitoes is essential to improving public health preparedness. In this study, we combine projections of cumulative monthly Aedes-borne virus transmission risk with spatially explicit population projections for vulnerable demographic groups (age and economic factors) to explore future county-level population exposure across the conterminous United States. We employ a scenario matrix – combinations of climate and socioeconomic scenarios (Representative Concentration Pathways and Shared Socioeconomic Pathways) – to assess the full range of uncertainty in emissions, socioeconomic development, and demographic change. Human exposure is projected to increase under most scenarios, up to +177% at the national scale in 2080 relative to 2010. Projected exposure changes are predominantly driven by population changes in vulnerable demographic groups, although climate change is also important, particularly in the western region where future exposure may decrease by >30% under the strongest climate change mitigation scenario. The results emphasize the crucial role that socioeconomic and demographic change play in shaping future population vulnerability and exposure to Aedes-borne virus transmission risk in the United States, and underscore the importance of including socioeconomic scenarios in projections of climate-related vector-borne disease impacts.


2018 ◽  
Vol 9 (3) ◽  
pp. 1097-1106 ◽  
Author(s):  
Jie Chen ◽  
Yujie Liu ◽  
Tao Pan ◽  
Yanhua Liu ◽  
Fubao Sun ◽  
...  

Abstract. The Paris Agreement proposes a 1.5 ∘C target to limit the increase in global mean temperature (GMT). Studying the population exposure to droughts under this 1.5 ∘C target will be helpful in guiding new policies that mitigate and adapt to disaster risks under climate change. Based on simulations from the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), the Standardized Precipitation Evapotranspiration Index (SPEI) was used to calculate drought frequencies in the reference period (1986–2005) and 1.5 ∘C global warming scenario (2020–2039 in RCP2.6). Then population exposure was evaluated by combining drought frequency with simulated population data from shared socioeconomic pathways (SSPs). In addition, the relative importance of climate and demographic change and the cumulative probability of exposure change were analyzed. Results revealed that population exposure to droughts in the east of China is higher than that in the west; exposure in the middle and lower reaches of the Yangtze River region is the highest, and it is lowest in the Qinghai-Tibet region. An additional 12.89 million people will be exposed to droughts under the 1.5 ∘C global warming scenario relative to the reference period. Demographic change is the primary contributor to exposure (79.95 %) in the 1.5 ∘C global warming scenario, more than climate change (29.93 %) or the interaction effect (−9.88 %). Of the three drought intensities – mild, moderate, and extreme – moderate droughts contribute the most to exposure (63.59 %). Probabilities of increasing or decreasing total drought frequency are roughly equal (49.86 % and 49.66 %, respectively), while the frequency of extreme drought is likely to decrease (71.83 % probability) in the 1.5 ∘C global warming scenario. The study suggested that reaching the 1.5 ∘C target is a potential way for mitigating the impact of climate change on both drought hazard and population exposure.


2017 ◽  
Author(s):  
Jie Chen ◽  
Yujie Liu ◽  
Tao Pan ◽  
Yanhua Liu ◽  
Fubao Sun ◽  
...  

Abstract. The Paris Agreement proposes a 1.5 °C target to limit the increase in global mean temperature (GMT). Studying the population exposure to droughts under this 1.5 °C target will be helpful in guiding new policies that mitigate and adapt to disaster risks under climate change. Based on simulations from the inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), the standardized precipitation evapotranspiration index (SPEI) was used to calculate drought frequencies in the reference period and 1.5 °C global warming scenario. Then population exposure was evaluated by combining drought frequency with simulated population data from shared socioeconomic pathways (SSPs). In addition, the relative importance of climate and demographic change and the cumulative probability of exposure change were analyzed. Results revealed that population exposure to droughts on the east side of the Hu line is much more than on the west side; exposure in the middle and lower reaches of the Yangtze River region is the highest and lowest in the Qinghai-Tibet region. An additional 6.97 million people will be exposed to droughts under the 1.5 °C global warming scenario relative to the reference period. Demographic change is the primary contributor to exposure (79.95 %) in the 1.5 °C global warming scenario, more than climate change (29.93 %) or the interaction effect (−9.88 %). Of the three drought intensities, mild, moderate, and extreme, moderate droughts contribute the most to exposure (63.59 %). The frequency of extreme droughts is likely to decrease (71.83 % probability), while mild and moderate droughts may increase slightly (55.17 % and 51.71 % probability, respectively) in the 1.5 °C global warming scenario.


2009 ◽  
Vol 4 (3) ◽  
pp. 255-274
Author(s):  
Stefan Heiland ◽  
Silke Spielmans ◽  
Bernd Demuth

The article examines the relevance of demographic change for the development of rural landscapes, especially in Germany's shrinking regions. To date, no empirical investigations have undertaken the matter. Thus, the article is mainly based on literature analysis and the findings of expert workshops. The research indicates that demographic change does not have as strong impact on landscapes as other factors such as agricultural policy, climate change, and the promotion of renewable energies. Nonetheless, from the perspective of nature conservation, there might be some indirect effects caused by structural and institutional changes of administrations, which could lead to a decline in importance of landscape-related concerns. In addition, changes in environmental consciousness due to rising cultural diversity could lead to a different societal attitude toward landscapes and their values.


2021 ◽  
Author(s):  
Stefan Brüggemann

Corona crisis, climate change, the future of Europe and, last but not least, demographic change – these are the challenges facing the younger generation in the first place. But it seems to be hardly aware of its responsibility: Politics and society need more than participation in demonstrations and activism in social media, the economy needs more than just well-trained academics. Young people can and must face the challenges of the present with conviction and verve.


2021 ◽  
Author(s):  
Anne-Kathrin Fischer

Many societal risks are beyond the scope of personal experience. Thus, people are increasingly dependent on third-party information to assess risks. This study examines the dynamics of public risk perception by focusing on the role of media coverage. It does so by comparing public opinion on selected societal risks, namely climate change, terrorism and demographic change over a 25-year period (1990–2015). The analysis examines risk perception in the US and Germany and provides valuable insights into how and why the public's assessment of risks differs in these countries.


Author(s):  
Xuerong Sun ◽  
Fei Ge ◽  
Yi Fan ◽  
Shoupeng Zhu ◽  
Quanliang Chen

Abstract Temperature extremes have increased during the past several decades and are expected to intensify under current rapid global warming over Southeast Asia (SEA). Exposure to rising temperatures in highly vulnerable regions affects populations, ecosystems, and other elements that may suffer potential losses. Here, we evaluate changes in temperature extremes and future population exposure over SEA at global warming levels (GWLs) of 2.0 °C and 3.0 °C using outputs from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Results indicate that temperature extreme indices are projected to increase over SEA at both GWLs, with more significant magnitudes at 3.0 °C. However, daily temperature ranges (DTR) show a decrease. The substantial increase in total SEA population exposure to heat extremes from 730 million person-days at 2.0 °C GWL to 1,200 million person-days at 3.0 °C GWL is mostly contributed by the climate change component, accounting for 48%. In addition, if the global warming is restricted well below 2.0 °C, the avoided impacts in population exposure are prominent for most regions over SEA with the largest mitigation in the Philippines (PH). Aggregate population exposure to impacts is decreased by approximately 39% at 2.0 °C GWL, while the interaction component effect, which is associated with increased population and climate change, would decrease by 53%. This indicates the serious consequences for growing populations concurrent with global warming impacts if the current fossil-fueled development pathway is adhered to. The present study estimates the risks of increased temperature extremes and population exposure in a warmer future, and further emphasizes the necessity and urgency of implementing climate adaptation and mitigation strategies in SEA.


Author(s):  
Yao Feng ◽  
Fubao Sun ◽  
Wenbin Liu ◽  
Jie Chen ◽  
Hong Wang ◽  
...  

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