“双碳”背景下中国能源消费碳排放与植被固碳的时空分异

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Abstract In order to understand the variation characteristics of CO₂ emissions from energy consumption (ERCE) and vegetation carbon sequestration (VCS) in China, dynamic changes and spatial patterns of the ERCE and VCS were quantitatively analyzed from 2000 to 2017 based on multi-source data, including meteorological, satellite, land cover, and statistical data, at the national, provincial, and county scales. Moreover, a carbon pressure index (CPI) was proposed to characterize the relationship between the ERCE and VCS. The ERCE and ERCE per capita had a significant increasing trend between 2000 and 2017 (P<0.01), but both displayed a slight downward trend after 2013 and 2012, respectively. As for spatial patterns, higher increasing trends were found in the northern and eastern China. Both VCS and VCS per capita had a rapidly increasing trend after the year of 2010 (P<0.01), with a trend value of 148.09×10⁶t/a and 0.04t/(person·a), respectively. Particularly, the VCS and VCS per capita displayed larger increasing trends in the northeast region, southwest region, and the Loess Plateau. Nearly 1/3 of all provinces of China had a higher mean value of CPI exceeding 1in China, which meant that the ERCE was higher than VCS. Among them, the relative higher CPI values were found in Shanghai, Tianjin, Jiangsu, Shandong, and Ningxia, and higher increasing trends of CPI were also found in these regions, which indicated that these regions had greater pressure to reduce carbon emissions. The findings can provide an important reference for developing low-carbon policies in different regions of China.

Key words： CO₂ emissions from energy consumption vegetation carbon sequestration spatio-temporal dynamics multi-source data China

Received: 09 October 2021

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X321

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	LI Cheng
	YANG Shu-hui
	WU Fang
	XU Yang
	CUI Xue-feng

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LI Cheng,YANG Shu-hui,WU Fang等. Spatio-temporal patterns of CO₂ emissions from energy consumption and vegetation carbon sequestration in China under the emission peak and carbon neutrality[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(4): 1945-1953.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I4/1945

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