气候变化领域集成服务门户(CCPortal): Spatial Variability of Soil Organic Carbon and Total Nitrogen in Desert Steppes of China's Hexi Corridor

CCPortal

DOI	10.3389/fenvs.2021.761313
	Spatial Variability of Soil Organic Carbon and Total Nitrogen in Desert Steppes of China's Hexi Corridor
	Wang, Xuyang; Li, Yuqiang; Duan, Yulong; Wang, Lilong; Niu, Yayi; Li, Xiaohui; Yan, Meng
通讯作者	Li, YQ (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China. ; Li, YQ (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Naiman Desertificat Res Stn, Tongliao, Peoples R China. ; Li, YQ (通讯作者)，Univ Chinese Acad Sci, Sch Resources & Environm, Beijing, Peoples R China.
发表日期	2021
EISSN	2296-665X
卷号	9
英文摘要	Stock estimates are critical to quantifying carbon and nitrogen sequestration, quantifying greenhouse gas emissions, and understanding key biogeochemical processes (i.e., soil carbon and nutrient cycling). Many studies have assessed soil organic matter and nutrients in different ecosystems. However, the spatial distribution of carbon and nitrogen and the key influencing factors in arid desert steppe remain unclear. Here, we investigated the soil organic carbon (SOC) and soil total nitrogen (STN) to a depth of 100 cm at 126 sites in a desert steppe in northwestern China. SOC and STN contents decreased with increasing depth; the highest average SOC and STN contents were 12.70 and 0.65 g kg(-1) in the surface 5 cm, and the lowest were from 80 to 100 cm (4.49 and 0.16 g kg(-1), respectively). SOC density (SOCD) and STN density (STND) to a depth of 100 cm averaged 8.94 and 0.45 kg m(-2), respectively. The top 1 m of the soils stored approximately 1,041 Tg SOC and 52 Tg STN in the study area. Geostatistical analysis showed strong and moderate spatial autocorrelation for SOCD in different soil layers, but the autocorrelation for STND gradually weakened with increasing depth. SOCD and STND decreased from southwest to northeast in the study area, along an elevation gradient. Both were significantly positively correlated with topographic variables, precipitation, and the normalized-difference vegetation index, but negatively correlated with temperature and aridity. More than 40% of the SOCD and STND spatial variation was explained by elevation, which was the dominant factor. The data and high-resolution maps from this study will support future soil carbon and nitrogen analyses.
关键词	BELOW-GROUND BIOMASS LOESS PLATEAU LAND-USE DRIVING FACTORS CLIMATE-CHANGE STOCKS GRASSLAND FOREST MATTER SEQUESTRATION
英文关键词	spatial pattern; soil organic carbon; soil total nitrogen; geostatistics; environmental variables; desert steppe
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000715974500001
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/253632
作者单位	[Wang, Xuyang; Li, Yuqiang; Duan, Yulong; Wang, Lilong; Niu, Yayi] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China; [Wang, Xuyang; Li, Yuqiang; Duan, Yulong; Wang, Lilong] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Naiman Desertificat Res Stn, Tongliao, Peoples R China; [Li, Yuqiang; Niu, Yayi] Univ Chinese Acad Sci, Sch Resources & Environm, Beijing, Peoples R China; [Li, Xiaohui] Lanzhou Jiaotong Univ, Sch Environm & Municipal Engn, Lanzhou, Peoples R China; [Yan, Meng] Inner Mongolia Univ Nationalities, Coll Agr, Tongliao, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xuyang,Li, Yuqiang,Duan, Yulong,et al. Spatial Variability of Soil Organic Carbon and Total Nitrogen in Desert Steppes of China's Hexi Corridor[J]. 中国科学院西北生态环境资源研究院,2021,9.
APA	Wang, Xuyang.,Li, Yuqiang.,Duan, Yulong.,Wang, Lilong.,Niu, Yayi.,...&Yan, Meng.(2021).Spatial Variability of Soil Organic Carbon and Total Nitrogen in Desert Steppes of China's Hexi Corridor.FRONTIERS IN ENVIRONMENTAL SCIENCE,9.
MLA	Wang, Xuyang,et al."Spatial Variability of Soil Organic Carbon and Total Nitrogen in Desert Steppes of China's Hexi Corridor".FRONTIERS IN ENVIRONMENTAL SCIENCE 9(2021).