干旱区生态环境知识资源中心(Arid): Space-time monitoring of soil organic carbon content across a semi-arid region of Australia

Arid

DOI	10.1016/j.geodrs.2021.e00367
	Space-time monitoring of soil organic carbon content across a semi-arid region of Australia
	Filippi, Patrick; Cattle, Stephen R.; Pringle, Matthew J.; Bishop, Thomas F. A.
通讯作者	Filippi, P (corresponding author), Univ Sydney, Sch Life & Environm Sci, Sydney Inst Agr, Sydney, NSW, Australia.
来源期刊	GEODERMA REGIONAL
ISSN	2352-0094
出版年	2021
卷号	24
英文摘要	Monitoring and mapping organic carbon throughout the soil profile is an important task, as land management and fluctuations in rainfall patterns have the potential to substantially alter the levels of soil organic carbon (SOC). This study aims to monitor the change in SOC content between 2002 and 2015 in a semi-arid, irrigated cotton-growing region in Australia under various land uses. One multivariate linear mixed model (MLMM) was used to model SOC content with four response variables - at two sampling depths (0-0.1, and 0.3-0.5 m), and two time points (2002 and 2015). This involved a four-dimensional model (horizontal and vertical space, and time) to monitor the spatio-temporal shifts of SOC content. Such a model utilises the correlation between the four measurements of SOC at the different depths and times. When tested with leave-one-site-out cross-validation, SOC content was predicted with a Lin's concordance correlation coefficient (LCCC) of 0.68, and a root mean square error (RMSE) of 0.21%. The MLMMs produced coherent soil maps, and an ability to detect statistically significant change in SOC content over time. While no change in subsoil (0.3-0.5 m) SOC content was observed across the study area, a small section of the study area revealed a statistically significant increase in SOC content in the topsoil (0-0.1 m). It was not completely clear whether this change was a function of land management, or the extended wet period from 2010 to 2012. The ability of MLMMs to take advantage of the relationship between different soil properties, soil depths, and time points, makes them advantageous for spatio-temporally monitoring soil. (C) 2021 Elsevier B.V. All rights reserved.
英文关键词	Multivariate linear mixed model 4D Digital soil monitoring Land use change Space-time modelling Irrigation Semi-arid Vertisols
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000621429700003
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350386
作者单位	[Filippi, Patrick; Cattle, Stephen R.; Bishop, Thomas F. A.] Univ Sydney, Sch Life & Environm Sci, Sydney Inst Agr, Sydney, NSW, Australia; [Pringle, Matthew J.] Queensland Dept Environm & Sci, Brisbane, Qld, Australia
推荐引用方式 GB/T 7714	Filippi, Patrick,Cattle, Stephen R.,Pringle, Matthew J.,et al. Space-time monitoring of soil organic carbon content across a semi-arid region of Australia[J],2021,24.
APA	Filippi, Patrick,Cattle, Stephen R.,Pringle, Matthew J.,&Bishop, Thomas F. A..(2021).Space-time monitoring of soil organic carbon content across a semi-arid region of Australia.GEODERMA REGIONAL,24.
MLA	Filippi, Patrick,et al."Space-time monitoring of soil organic carbon content across a semi-arid region of Australia".GEODERMA REGIONAL 24(2021).