Limited terrestrial carbon sinks and increasing carbon emissions from the Hu Line spatial pattern perspective in China

碳纤维 碳汇 透视图(图形) 中国 环境科学 温室气体 碳循环 直线(几何图形) 生态学 气候变化 地理 生态系统 生物 计算机科学 数学 几何学 考古 算法 人工智能 复合数
作者
Hezhen Lou,Xuewei Shi,Xiaoyu Ren,Shengtian Yang,Mingyong Cai,Zihao Pan,Yifan Zhu,Danyang Feng,Baichi Zhou
出处
期刊:Ecological Indicators [Elsevier]
卷期号:162: 112035-112035 被引量:9
标识
DOI:10.1016/j.ecolind.2024.112035
摘要

China's commitment to achieving the goal of carbon peak and carbon neutrality (CPCN) has attracted worldwide attention, and the efforts made by China are critical to realization of the 1.5 °C temperature control objective of the 2015 Paris Agreement. However, it is unclear whether long-term spatiotemporal changes in China's carbon emissions and carbon sinks exhibit specific spatial patterns, such as the Hu Line, which might affect China's future policymaking. Based on the emission factor, inventory, and eddy covariance methods, this study calculated China's carbon emissions (2003–2018) and terrestrial carbon sinks (2003–2020). Results showed that the increase in carbon sinks is limited in comparison with the increase in carbon emissions, and that the carbon sequestration ratio remains deficient and generally maintained at around 10 %. The spatial pattern of carbon emissions and carbon sinks showed an unbalanced state across the Hu Line, mainly reflected in accelerated increase in both the carbon emission rankings and the proportion of emissions to China's total carbon emissions of provinces on the northwestern side of the Hu Line. Despite this, the gross domestic product (GDP) rankings of those provinces have not improved substantially, whereas provinces on the southeastern side of the Hu Line have contributed most to China's GDP and terrestrial carbon sinks. The findings of this study improve understanding of the spatiotemporal relationship between carbon emissions and terrestrial carbon sinks in China, and represent alternative insights that could support adjustment of carbon-related policies and promote realization of CPCN in China.

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
花不拉几完成签到,获得积分20
1秒前
senlin完成签到,获得积分20
2秒前
Liu发布了新的文献求助10
2秒前
2秒前
吴小利完成签到,获得积分10
2秒前
QQ完成签到,获得积分10
3秒前
浮游应助尹辉采纳,获得10
3秒前
236完成签到,获得积分10
4秒前
杨永乾完成签到,获得积分20
4秒前
星河圈揽完成签到,获得积分10
4秒前
量子星尘发布了新的文献求助10
5秒前
leek完成签到 ,获得积分10
6秒前
6秒前
华仔应助药学小团子采纳,获得10
7秒前
爆米花应助ysxl采纳,获得10
7秒前
客厅狂欢发布了新的文献求助10
7秒前
9秒前
majiko完成签到,获得积分10
9秒前
杨永乾发布了新的文献求助10
9秒前
11秒前
CHL完成签到 ,获得积分10
11秒前
13秒前
茨茨喵喵完成签到,获得积分10
13秒前
小灰灰完成签到,获得积分10
13秒前
搜集达人应助poki采纳,获得10
14秒前
酷波er应助向晚采纳,获得10
14秒前
量子星尘发布了新的文献求助10
15秒前
灯座发布了新的文献求助10
17秒前
深竹月完成签到,获得积分10
18秒前
ccc发布了新的文献求助10
18秒前
独白完成签到 ,获得积分10
18秒前
时来运转完成签到 ,获得积分10
18秒前
欢城发布了新的文献求助10
20秒前
GEeZiii完成签到,获得积分10
20秒前
小坤不慌完成签到 ,获得积分10
20秒前
凶狗碎大石完成签到,获得积分10
22秒前
22秒前
谢大喵发布了新的文献求助10
22秒前
风清扬发布了新的文献求助10
23秒前
Linda完成签到 ,获得积分10
24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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Chemistry and Biochemistry: Research Progress Vol. 7 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5684190
求助须知:如何正确求助?哪些是违规求助? 5035564
关于积分的说明 15183757
捐赠科研通 4843529
什么是DOI,文献DOI怎么找? 2596718
邀请新用户注册赠送积分活动 1549418
关于科研通互助平台的介绍 1507952