气候变化领域集成服务门户(CCPortal): A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach

CCPortal

DOI	10.1016/j.agrformet.2018.02.007
	A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach
	Yao, Yitong; Li, Zhijian; Wang, Tao; Chen, Anping; Wang, Xuhui; Du, Mingyuan; Jia, Gensuo; Li, Yingnian; Li, Hongqin; Luo, Weijun; Ma, Yaoming; Tang, Yanhong; Wang, Huimin; Wu, Zhixiang; Yan, Junhua; Zhang, Xianzhou; Zhang, Yiping; Zhang, Yu; Zhou, Guangsheng; Piao, Shilong
通讯作者	Wang, T (通讯作者)
发表日期	2018
ISSN	0168-1923
EISSN	1873-2240
起始页码	84
结束页码	93
卷号	253
英文摘要	Accurate assessment of the strength of China's terrestrial ecosystem carbon sink is key to understanding its regional carbon budget. However, large uncertainties in current carbon sink estimations still exist, which hinder the prediction of future climate change trajectories. In this study, we generated a high-resolution (1 km x 1 km) dataset of China's net ecosystem productivity (NEP) in the last decade via a model tree ensemble approach combined with data from 46 flux sites in China and neighboring regions. The upscaling also included detailed information on nitrogen (N) deposition and forest age that have often been neglected in previous studies. The performance of MTE algorithm in simulating NEP at the site level is relatively high for both training (R-2 = 0.81, RMSE = 0.73 gC m(-2) day(-1)) and validation datasets (R-2 = 0.76, RMSE = 0.81 gC m(-2)day(-1)). Our data-driven estimation showed that roughly 70% of the area is a carbon sink, and the largest carbon sinks are found in the southeast and southwest monsoon regions. The total annual NEP in China in the last decade was 1.18 +/- 0.05 Pg C yr(-1), which is similar to the results found by another foundational global-scale study. Yet, the two studies significantly differ in the spatial distribution of carbon sink density. The seasonality of China's NEP is characterized by region-specific kurtosis and skewness in most areas. Furthermore, ecosystem carbon use efficiency (CUE), defined as the annual NEP/GPP ratio, also showed high spatial variation. For example, the Xiaoxing'anling and Changbai Mountains in northeastern China, the eastern edge of the Tibetan Plateau, and bordering areas of the southeast and southwest monsoon regions have a larger CUE than the rest of China. On average, China's terrestrial ecosystem CUE is approximately 0.17. Our data-driven NEP and CUE estimates provide a new tool for assessing China's carbon dioxide flux. Our study also highlights the necessity to incorporate more environmental variables related to vegetation growth and more data derived from flux sites into NEP upscaling to reduce uncertainties in carbon budget estimations.
关键词	TERRESTRIAL CARBON UPTAKE NITROGEN DEPOSITION SPATIAL-DISTRIBUTION FOREST ECOSYSTEMS ATMOSPHERIC CO2 DIOXIDE UPTAKE CLIMATE-CHANGE CYCLE FLUXES TEMPERATE
英文关键词	Net ecosystem productivity (NEP); Model tree ensemble; China; Eddy covariance; Carbon sink
语种	英语
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000430783800008
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259384
推荐引用方式 GB/T 7714	Yao, Yitong,Li, Zhijian,Wang, Tao,et al. A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach[J]. 中国科学院青藏高原研究所,2018,253.
APA	Yao, Yitong.,Li, Zhijian.,Wang, Tao.,Chen, Anping.,Wang, Xuhui.,...&Piao, Shilong.(2018).A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach.AGRICULTURAL AND FOREST METEOROLOGY,253.
MLA	Yao, Yitong,et al."A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach".AGRICULTURAL AND FOREST METEOROLOGY 253(2018).