干旱区生态环境知识资源中心(Arid): Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis

Arid

DOI	10.1016/j.scitotenv.2019.02.408
	Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis
	Fang, Xia 1,2,3,4,5; Guo, Xulin 5; Zhang, Chi 1,6; Shao, Hua 9; Zhu, Shihua 7; Li, Zhaoqin 8; Feng, Xianwei 1; He, Biao 3
通讯作者	Shao, Hua
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2019
卷号	668 页码:631-644
英文摘要	Dryland ecosystems have been threatened in recent decades by rapid climate change. However, the effects of climate change and rising CO2 levels on the terrestrial carbon stock of the arid region of China remain unclear. In this study, we used three climate reanalysis datasets to drive an arid ecosystem model (AEM), which we used to assess uncertainties in spatial climate datasets. All simulations suggest that the arid region of China acted as a carbon sink (0.20-0.34 Pg C) from 1980 to 2014. However, we found large uncertainties in the spatial pattern of carbon stocks during this period, especially in northern Xinjiang and western Inner Mongolia. These uncertainties are related to changes in precipitation. To reduce the uncertainty of carbon stock assessment results in the arid region of China, efforts should be implemented to improve the reliability of climate data in northern Xinjiang and western Inner Mongolia. Specifically, China's policy makers should pay close attention to climate change and ecosystem health in southwestern Xinjiang. According to our study, this area experienced significant decreases in precipitation and increases in temperature from 1980 to 2014. The severe ecosystem degradation that occurred will very likely continue into the future. In addition, the Climate Forecast System Reanalysis (CFSR) dataset may overestimate ecosystem carbon sinks as this dataset overestimates the increase in precipitation in the arid region of China. Therefore, it is advisable to be cautious when using the CFSR dataset in ecological studies in northern Eurasian dryland areas. (C) 2019 Elsevier B.V. All rights reserved.
英文关键词	Carbon stock Arid ecosystem model (AEM) Arid Climate change
类型	Article
语种	英语
国家	Peoples R China ; Canada
收录类别	SCI-E
WOS记录号	WOS:000462776800058
WOS关键词	SOIL ORGANIC-CARBON ; NET PRIMARY PRODUCTION ; CENTRAL-ASIA ; PRECIPITATION GRADIENT ; PRIMARY PRODUCTIVITY ; SENSITIVITY-ANALYSIS ; DRYLAND ECOSYSTEMS ; ERA-INTERIM ; MODEL ; VEGETATION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所 ; 新疆大学 ; 南京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218682
作者单位	1.Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xinjiang, Peoples R China; 2.Xinjiang Univ, Sch Resources & Environm, Xinjiang 830046, Peoples R China; 3.Xinjiang Polytech Coll, Urumqi 830091, Xinjiang, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 5.Univ Saskatchewan, Dept Geog & Planning, Kirk Hall 117 Sci Pl, Saskatoon, SK S7N 5C8, Canada; 6.Linyi Univ, Shandong Prov Key Lab Water & Soil Conservat & En, Coll Resources & Environm, Linyi 276000, Shandong, Peoples R China; 7.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Jiangsu, Peoples R China; 8.Univ Saskatchewan, Global Inst Water Secur, 11 Innovat Blvd, Saskatoon, SK S7N 3H5, Canada; 9.Xinjiang Inst Ecol & Geog, CAS Key Lab Biogeog & Bioresources Arid Land, Urumqi 830011, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Fang, Xia,Guo, Xulin,Zhang, Chi,et al. Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis[J]. 中国科学院新疆生态与地理研究所, 新疆大学, 南京大学,2019,668:631-644.
APA	Fang, Xia.,Guo, Xulin.,Zhang, Chi.,Shao, Hua.,Zhu, Shihua.,...&He, Biao.(2019).Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis.SCIENCE OF THE TOTAL ENVIRONMENT,668,631-644.
MLA	Fang, Xia,et al."Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis".SCIENCE OF THE TOTAL ENVIRONMENT 668(2019):631-644.