气候变化领域集成服务门户(CCPortal): Exploring the Spatiotemporal Alterations in China's GPP Based on the DTEC Model

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DOI	10.3390/rs16081361
	Exploring the Spatiotemporal Alterations in China's GPP Based on the DTEC Model
	Peng, Jie; Xue, Yayong; Pan, Naiqing; Zhang, Yuan; Liang, Haibin; Zhang, Fei
发表日期	2024
EISSN	2072-4292
起始页码	16
结束页码	8
卷号	16 期号:8
英文摘要	Gross primary productivity (GPP) is a reliable measure of the carbon sink potential of terrestrial ecosystems and is an essential element of terrestrial carbon cycle research. This study employs the diffuse fraction-based two-leaf light-use efficiency (DTEC) model to imitate China's monthly GPP from 2001 to 2020. We studied the trend of GPP, investigated its relationship with climatic factors, and separated the contributions of climate change and human activities. The findings showed that the DTEC model was widely applicable in China. During the study period, China's average GPP increased significantly, by 9.77 g C m(-2) yr(-1) (p < 0.001). The detrimental effect of aerosol optical depth (AOD) on GPP was more widespread than that of total precipitation, temperature, and solar radiation. Areas that benefited from AOD, such as Northwest China, experienced significant increases in GPP. Climate change and human activities had a primary and positive influence on GPP during the study period, accounting for 28% and 72% of the increase, respectively. Human activities, particularly ecological restoration projects and the adoption of advanced agricultural technologies, played a significant role in China's GPP growth. China's afforestation plan was particularly notable, with the GPP increasing in afforestation areas at a rate greater than 10 g C m(-2) yr(-1). This research provides a theoretical foundation for the long-term management of China's terrestrial ecosystems and helps develop adaptive ecological restoration tactics.
英文关键词	diffuse fraction-based two-leaf light-use efficiency model; gross primary productivity; carbon cycle; climate change; ecological restoration projects
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001211416000001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/308514
作者单位	Xinjiang University; Xinjiang University; Boston College; Shanxi University; Taiyuan Normal University; Taiyuan Normal University; Zhejiang Normal University
推荐引用方式 GB/T 7714	Peng, Jie,Xue, Yayong,Pan, Naiqing,et al. Exploring the Spatiotemporal Alterations in China's GPP Based on the DTEC Model[J],2024,16(8).
APA	Peng, Jie,Xue, Yayong,Pan, Naiqing,Zhang, Yuan,Liang, Haibin,&Zhang, Fei.(2024).Exploring the Spatiotemporal Alterations in China's GPP Based on the DTEC Model.REMOTE SENSING,16(8).
MLA	Peng, Jie,et al."Exploring the Spatiotemporal Alterations in China's GPP Based on the DTEC Model".REMOTE SENSING 16.8(2024).