Toward carbon neutrality before 2060: Trajectory and technical mitigation potential of non-CO2 greenhouse gas emissions from Chinese agriculture

温室气体 农业 环境科学 自然资源经济学 农业经济学 中国 二氧化碳当量 减缓气候变化 环境保护 环境工程 经济 地理 生态学 生物 考古
作者
Minpeng Chen,Yanrong Cui,Shan Jiang,Nicklas Forsell
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:368: 133186-133186 被引量:89
标识
DOI:10.1016/j.jclepro.2022.133186
摘要

In 2020, China announced that it aims to achieve carbon neutrality before 2060. Despite the recognition of agriculture's importance in emission mitigation strategies, assessing the non-CO2 greenhouse gas (GHG) mitigation potentials from this sector remains technically and conceptually challenging. This study developed a bottom-up inventory-based model (the Agriculture-induced non-CO2 GreenHouse Gases INVentory model) to provide region-specific long-term projections (to 2060) of non-CO2 GHG emissions (including methane and nitrous oxide) from the Chinese agricultural sector. Seventeen production-side technologies were identified that could reduce on-farm emissions, and their mitigation potentials by 2060 were evaluated. Results showed that agricultural non-CO2 GHG emissions rose by 34% from 1980 to 2018, and they are projected to increase further by 33% to reach 1153 MtCO2-eq yr−1 by 2060. Implementing selected technological adaptations could lead to peak agricultural emissions before 2030 and then reduce them by 32%–50% by 2060. The most effective mitigation measures include feed supplements, feed quality improvements, slow-release fertilizers, and improved water management for paddy fields and uplands. All six regions of China will see a gradual increase in agricultural emissions. South Central China and Southwest China have the largest shares of total national emissions and the greatest mitigation potentials. However, technology adoption faces a series of socio-economic obstacles such as the high cost of technology promotion, smaller farm sizes, farmers' aversion to risk, and a complex set of objectives for agriculture.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
七月不远发布了新的文献求助10
1秒前
上岸发布了新的文献求助10
5秒前
6秒前
失眠的含蕊完成签到,获得积分10
6秒前
科研通AI6.4应助七月不远采纳,获得10
7秒前
10秒前
念安发布了新的文献求助10
10秒前
10秒前
东方元语应助kk采纳,获得20
10秒前
12秒前
真王一博发布了新的文献求助10
15秒前
外向的雅霜完成签到,获得积分10
16秒前
justfocus发布了新的文献求助10
17秒前
若一应助meng采纳,获得10
18秒前
无私绿兰完成签到,获得积分10
18秒前
18秒前
此地不宜久刘同学完成签到,获得积分10
19秒前
19秒前
上岸发布了新的文献求助10
19秒前
20秒前
22秒前
cdercder应助香蕉苹果采纳,获得10
22秒前
JiangXia发布了新的文献求助30
22秒前
乐乐应助段鹏鹏采纳,获得10
22秒前
SciGPT应助蔡宇滔采纳,获得10
24秒前
2568269431完成签到 ,获得积分10
26秒前
若一发布了新的文献求助10
28秒前
艾伦耶格尔完成签到,获得积分20
28秒前
许清禾发布了新的文献求助10
29秒前
30秒前
33秒前
33秒前
orixero应助科研通管家采纳,获得10
33秒前
在水一方应助科研通管家采纳,获得10
34秒前
Owen应助科研通管家采纳,获得10
34秒前
传奇3应助科研通管家采纳,获得10
34秒前
搜集达人应助科研通管家采纳,获得10
34秒前
Keturah完成签到 ,获得积分10
34秒前
34秒前
深情安青应助科研通管家采纳,获得10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637743
求助须知:如何正确求助?哪些是违规求助? 9211300
关于积分的说明 19758409
捐赠科研通 7204937
什么是DOI,文献DOI怎么找? 3275767
关于科研通互助平台的介绍 2437385
邀请新用户注册赠送积分活动 2272928