气候变化领域集成服务门户(CCPortal): The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial

CCPortal

DOI	10.1186/s13021-023-00239-9
	The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial
	Zeng, Jingyu; Zhou, Tao; Xu, Yixin; Lin, Qiaoyu; Tan, E.; Zhang, Yajie; Wu, Xuemei; Zhang, Jingzhou; Liu, Xia
发表日期	2023
ISSN	1750-0680
卷号	18 期号:1
英文摘要	BackgroundThe Qinghai-Tibet Plateau is the sensitive area of climate change, and also the driver and amplifier of global change. The response and feedback of its carbon dynamics to climate change will significantly affect the content of greenhouse gases in the atmosphere. However, due to the unique geographical environment characteristics of the Qinghai-Tibet Plateau, there is still much controversy about its carbon source and sink estimation results. This study designed a new algorithm based on machine learning to improve the accuracy of carbon source and sink estimation by integrating multiple scale carbon input (net primary productivity, NPP) and output (soil heterotrophic respiration, Rh) information from remote sensing and ground observations. Then, we compared spatial patterns of NPP and Rh derived from the fusion of multiple scale data with other widely used products and tried to quantify the differences and uncertainties of carbon sink simulation at a regional scale.ResultsOur results indicate that although global warming has potentially increased the Rh of the Qinghai-Tibet Plateau, it will also increase its NPP, and its current performance is a net carbon sink area (carbon sink amount is 22.3 Tg C/year). Comparative analysis with other data products shows that CASA, GLOPEM, and MODIS products based on remote sensing underestimate the carbon input of the Qinghai-Tibet Plateau (30-70%), which is the main reason for the severe underestimation of the carbon sink level of the Qinghai-Tibet Plateau (even considered as a carbon source).ConclusionsThe estimation of the carbon sink in the Qinghai-Tibet Plateau is of great significance for ensuring its ecological barrier function. It can deepen the community's understanding of the response to climate change in sensitive areas of the plateau. This study can provide an essential basis for assessing the uncertainty of carbon sources and sinks in the Qinghai-Tibet Plateau, and also provide a scientific reference for helping China achieve carbon neutrality by 2060. This study designed a carbon sink estimation method for Qinghai-Tibet Plateau by integrating machine learning and multiple scale ground- and remote sensed-based data.The estimated total carbon sink of the Qinghai-Tibet Plateau is 22.3 Tg C/year, accounting for about 10% of China's total carbon sink.The carbon sink of former estimation maybe greatly underestimated due to the underestimation of carbon input in the Qinghai-Tibet Plateau.
关键词	Qinghai-Tibet Plateau Carbon source and sink Multiple scale information fusion Machine learning Uncertainty assessment
英文关键词	CLIMATE-CHANGE; TERRESTRIAL ECOSYSTEMS; DIOXIDE EXCHANGE; SOIL-MOISTURE; CHINA; FOREST; IMPACTS; CO2; SEQUESTRATION; MEADOW
WOS研究方向	Environmental Sciences
WOS记录号	WOS:001063188800001
来源期刊	CARBON BALANCE AND MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282661
作者单位	Beijing Normal University; Beijing Normal University
推荐引用方式 GB/T 7714	Zeng, Jingyu,Zhou, Tao,Xu, Yixin,et al. The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial[J],2023,18(1).
APA	Zeng, Jingyu.,Zhou, Tao.,Xu, Yixin.,Lin, Qiaoyu.,Tan, E..,...&Liu, Xia.(2023).The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial.CARBON BALANCE AND MANAGEMENT,18(1).
MLA	Zeng, Jingyu,et al."The fusion of multiple scale data indicates that the carbon sink function of the Qinghai-Tibet Plateau is substantial".CARBON BALANCE AND MANAGEMENT 18.1(2023).