QQ客服 官方微博 反馈留言

	Estimation of soil organic carbon under different vegetation types on a hillslope of China's northern Loess Plateau using state-space approach
	Zhang, Qingyin1,2; Yao, Yufei1,3; Jia, Xiaoxu1,3; Shao, Mingan1,2; Jia, XX; Shao, MA (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.; Shao, MA (reprint author), Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Peoples R China.; Shao, MA (reprint author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China.; Shao, MA (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China.
刊名	CANADIAN JOURNAL OF SOIL SCIENCE
	2017
卷号	97期号:4页码:667-677
关键词	Soil Organic Carbon State-space Model Land-use Type Loess Plateau
ISSN号	0008-4271
DOI	10.1139/cjss-2017-0042
文献子类	Article
英文摘要	Soil organic carbon (SOC) plays a critical role in revegetation of semi-arid areas. The accurate estimation of SOC under various land-use types is fundamental to sustain ecosystem productivity. Thus, the dominant factors of the spatial distribution of SOC in shallow soil layers were determined at hillslope scale. The state-space modeling approach was used to quantify the relationship between SOC stock and land-use type, soil properties, topographic features, and fine root biomass (FRB) at 0-20 and 20-40 cm soil layers of a hillslope on the Loess Plateau. The best state-space models explained more than 96% of the variations in SOC stocks on the hillslope. The best multivariate state-space models including land-use type, FRB, soil pH, and total nitrogen were optimal for 0-20 and 20-40 cm soil layers. Land-use type was the dominant factor for identification of localized variation in SOC in the 0-40 cm soil layer. The results underscored the importance of land-use type in SOC variation on the hillslopes of the Loess Plateau. It also provided a useful insight into the accurate estimation of SOC using state-space modeling approach driven by other easily obtainable variables.
学科主题	Agriculture
URL标识	查看原文
出版地	OTTAWA
语种	英语
出版者	CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS
WOS记录号	WOS:000416033000011
资助机构	National Key Project for Research and Development [2016YFC0501605]; National Natural Science Foundation of China [41571130081, 41390461]; Open Research Fund of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021402-1503]; Youth Innovation Promotion Association of the Chinese Academy of Sciences [2017076]; Program for Bingwei Excellent Talents from the Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [2015RC204] ; National Key Project for Research and Development [2016YFC0501605]; National Natural Science Foundation of China [41571130081, 41390461]; Open Research Fund of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021402-1503]; Youth Innovation Promotion Association of the Chinese Academy of Sciences [2017076]; Program for Bingwei Excellent Talents from the Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [2015RC204] ; National Key Project for Research and Development [2016YFC0501605]; National Natural Science Foundation of China [41571130081, 41390461]; Open Research Fund of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021402-1503]; Youth Innovation Promotion Association of the Chinese Academy of Sciences [2017076]; Program for Bingwei Excellent Talents from the Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [2015RC204] ; National Key Project for Research and Development [2016YFC0501605]; National Natural Science Foundation of China [41571130081, 41390461]; Open Research Fund of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021402-1503]; Youth Innovation Promotion Association of the Chinese Academy of Sciences [2017076]; Program for Bingwei Excellent Talents from the Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [2015RC204]
内容类型	期刊论文
源URL	[http://ir.iswc.ac.cn/handle/361005/7879]
专题	水保所科研产出--SCI_2017--SCI
通讯作者	Jia, XX; Shao, MA (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.; Shao, MA (reprint author), Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Peoples R China.; Shao, MA (reprint author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China.; Shao, MA (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China.
作者单位	1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 2.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Qingyin,Yao, Yufei,Jia, Xiaoxu,et al. Estimation of soil organic carbon under different vegetation types on a hillslope of China's northern Loess Plateau using state-space approach[J]. CANADIAN JOURNAL OF SOIL SCIENCE,2017,97(4):667-677.
APA	Zhang, Qingyin.,Yao, Yufei.,Jia, Xiaoxu.,Shao, Mingan.,Jia, XX.,...&Shao, MA .(2017).Estimation of soil organic carbon under different vegetation types on a hillslope of China's northern Loess Plateau using state-space approach.CANADIAN JOURNAL OF SOIL SCIENCE,97(4),667-677.
MLA	Zhang, Qingyin,et al."Estimation of soil organic carbon under different vegetation types on a hillslope of China's northern Loess Plateau using state-space approach".CANADIAN JOURNAL OF SOIL SCIENCE 97.4(2017):667-677.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。