Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

doi:10.1002/ldr.2833

	Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau
	Shangguan, Zhouping 3,4,5; Wang, Kaibo 1; Wu, Gaolin 2; Deng, Lei 2; Wang, Yinyin 3,4,5
刊名	LAND DEGRADATION & DEVELOPMENT
	2018
卷号	29 期号:1 页码:26-37
关键词	Aboveground Biomass Belowground Biomass Grassland Loess Plateau Soil Organic Carbon
DOI	10.1002/ldr.2833
文献子类	Article
英文摘要	The Loess Plateau is considered one of the world's regions with severe soil erosion. Grasslands are widely distributed on the Loess Plateau, accounting for approximately 40% of the total area. Soil organic carbon (SOC) plays an important role in the terrestrial carbon cycle in this region. We compiled more than 1,000 measurements of plant biomass and SOC content derived from 223 field studies of grasslands on the Loess Plateau. Combined with meteorological factors (precipitation and air temperature) and the photosynthetically active radiation factor, the topsoil SOC contents of grasslands were predicted using the random forest (RF) regression algorithm. Predicted grassland SOC content (1.70-40.34gkg(-1)) decreased from the southeast to the northwest of the Loess Plateau, with approximately 1/5 of the grassland exhibiting values lower than 4gkg(-1). Observed SOC content was positively correlated with observed plant biomass, and for predicted values, this correlation was strong in the desert steppe and the steppe desert of rocky mountains. Air temperature was the most important factor affecting SOC contents in the RF model. Moreover, the residual error of observations and predictions increased as the grazing intensity varied from none to very severe in the temperate desert steppe, and this RF model may not perform well in plains. The use of the RF model for SOC prediction in Loess Plateau grasslands provides a reference for C storage studies in arid and semi-arid regions, and aboveground biomass and temperature should receive more attention due to increasing C sequestration.
WOS关键词	LONG-TERM FERTILIZATION ; FINE-ROOT DISTRIBUTION ; FOR-GREEN PROGRAM ; LAND-USE ; TEMPERATURE SENSITIVITY ; CLIMATE-CHANGE ; TOTAL NITROGEN ; VEGETATION RESTORATION ; SPATIAL VARIABILITY ; NORTHWESTERN CHINA
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
语种	英语
WOS记录号	WOS:000423123700003
内容类型	期刊论文
源URL	[http://ir.ieecas.cn/handle/361006/5244]
专题	地球环境研究所_生态环境研究室
作者单位	1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China 2.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Minist Water Resources, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China 5.Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Shangguan, Zhouping,Wang, Kaibo,Wu, Gaolin,et al. Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau[J]. LAND DEGRADATION & DEVELOPMENT,2018,29(1):26-37.
APA	Shangguan, Zhouping,Wang, Kaibo,Wu, Gaolin,Deng, Lei,&Wang, Yinyin.(2018).Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau.LAND DEGRADATION & DEVELOPMENT,29(1),26-37.
MLA	Shangguan, Zhouping,et al."Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau".LAND DEGRADATION & DEVELOPMENT 29.1(2018):26-37.