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

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Kaijie Chen, Tao Huang, Xiaodong Zhang, Xinrui Liu, Xiaohu Jian, Hong Gao, Shu Tao, Junfeng Liu, Yunchao Jiang, Yuan Zhao, Jianmin Ma
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引用次数: 0

摘要

由于庞大的人口和巨大的粮食需求,中国正在经历快速增长的农业非二氧化碳温室气体(GHG)排放和人口老龄化。然而,非co2温室气体排放对人口老龄化相关食品消费的响应尚不清楚。食品检查调查显示,在过去几十年中,老年人和年轻人在反刍动物肉和主食谷物(通常是大米)消费方面存在显著差异。因此,60岁以上老年人口的这种饮食模式将非二氧化碳温室气体排放量从2005年的1.0 Tg CO2eq减少到2020年的10.1 Tg CO2eq,减少了一个数量级。到2050年,在共享社会经济路径(ssp)下,人口老龄化导致的食物消费变化的净非co2总排放量将进一步减少34.5 Tg CO2eq,其中86.8%归因于减少反刍动物肉类消费(RMC),即29.9 Tg CO2eq,占2050年中国RMC非co2温室气体排放总量的15.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Population aging mitigates food consumption-induced non-CO2 GHG emissions in China

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.

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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
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.
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