Knowledge Resource Center for Ecological Environment in Arid Area
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
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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). |
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