Kaijie Chen, Tao Huang, Xiaodong Zhang, Xinrui Liu, Xiaohu Jian, Hong Gao, Shu Tao, Junfeng Liu, Yunchao Jiang, Yuan Zhao, Jianmin Ma
{"title":"人口老龄化缓解了中国食品消费引起的非二氧化碳温室气体排放","authors":"Kaijie Chen, Tao Huang, Xiaodong Zhang, Xinrui Liu, Xiaohu Jian, Hong Gao, Shu Tao, Junfeng Liu, Yunchao Jiang, Yuan Zhao, Jianmin Ma","doi":"10.1038/s41612-025-01038-4","DOIUrl":null,"url":null,"abstract":"<p>China has been experiencing rapidly growing agricultural non-CO<sub>2</sub> greenhouse gas (GHG) emissions and aged population owing to its vast population and enormous food demands. However, the response of non-CO<sub>2</sub> GHG emission to population aging-related food consumption is unclear. The food inspection survey reveals a significant difference in ruminant meat and staple food grain (typically rice) consumption between aged and young populations during the past decades. As a result, this dietary pattern in the aging population of 60+ reduce non-CO<sub>2</sub> GHG emissions from 1.0 Tg CO<sub>2</sub>eq in 2005 to 10.1 Tg CO<sub>2</sub>eq in 2020 by one order of magnitude. By 2050, the net total non-CO<sub>2</sub> GHG emissions from population aging-induced changes in food consumption will be further reduced by 34.5 Tg CO<sub>2</sub>eq under the shared socioeconomic pathways (SSPs), of which 86.8% is attributed to decreasing ruminant meat consumption (RMC), or 29.9 Tg CO<sub>2</sub>eq, accounting for 15.3% of total non-CO<sub>2</sub> GHG emission from China’s RMC in 2050.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"90 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population aging mitigates food consumption-induced non-CO2 GHG emissions in China\",\"authors\":\"Kaijie Chen, Tao Huang, Xiaodong Zhang, Xinrui Liu, Xiaohu Jian, Hong Gao, Shu Tao, Junfeng Liu, Yunchao Jiang, Yuan Zhao, Jianmin Ma\",\"doi\":\"10.1038/s41612-025-01038-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>China has been experiencing rapidly growing agricultural non-CO<sub>2</sub> greenhouse gas (GHG) emissions and aged population owing to its vast population and enormous food demands. However, the response of non-CO<sub>2</sub> GHG emission to population aging-related food consumption is unclear. The food inspection survey reveals a significant difference in ruminant meat and staple food grain (typically rice) consumption between aged and young populations during the past decades. As a result, this dietary pattern in the aging population of 60+ reduce non-CO<sub>2</sub> GHG emissions from 1.0 Tg CO<sub>2</sub>eq in 2005 to 10.1 Tg CO<sub>2</sub>eq in 2020 by one order of magnitude. By 2050, the net total non-CO<sub>2</sub> GHG emissions from population aging-induced changes in food consumption will be further reduced by 34.5 Tg CO<sub>2</sub>eq under the shared socioeconomic pathways (SSPs), of which 86.8% is attributed to decreasing ruminant meat consumption (RMC), or 29.9 Tg CO<sub>2</sub>eq, accounting for 15.3% of total non-CO<sub>2</sub> GHG emission from China’s RMC in 2050.</p>\",\"PeriodicalId\":19438,\"journal\":{\"name\":\"npj Climate and Atmospheric Science\",\"volume\":\"90 1\",\"pages\":\"\"},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Climate and Atmospheric Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1038/s41612-025-01038-4\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-01038-4","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Population aging mitigates food consumption-induced non-CO2 GHG emissions in China
China has been experiencing rapidly growing agricultural non-CO2 greenhouse gas (GHG) emissions and aged population owing to its vast population and enormous food demands. However, the response of non-CO2 GHG emission to population aging-related food consumption is unclear. The food inspection survey reveals a significant difference in ruminant meat and staple food grain (typically rice) consumption between aged and young populations during the past decades. As a result, this dietary pattern in the aging population of 60+ reduce non-CO2 GHG emissions from 1.0 Tg CO2eq in 2005 to 10.1 Tg CO2eq in 2020 by one order of magnitude. By 2050, the net total non-CO2 GHG emissions from population aging-induced changes in food consumption will be further reduced by 34.5 Tg CO2eq under the shared socioeconomic pathways (SSPs), of which 86.8% is attributed to decreasing ruminant meat consumption (RMC), or 29.9 Tg CO2eq, accounting for 15.3% of total non-CO2 GHG emission from China’s RMC in 2050.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.