Home > Research > Publications & Outputs > Soil moisture and electrical conductivity relat...

Electronic data

  • Turkeltaub_et_al.__author_copy_

    Rights statement: This is the peer reviewed version of the following article: Tuvia Turkeltaub, Jiao Wang, Qinbo Cheng, Xiaoxu Jia,Yuanjun Zhu, Ming-An Shao, Andrew Binley (2022), Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. Vadose Zone Journal. doi: 10.1002/vzj2.20174 which has been published in final form at https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20174 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

    Accepted author manuscript, 1.9 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. / Turkeltaub, Tuvia; Wang, Jiao; Cheng, Qinbo et al.
In: Vadose Zone Journal, Vol. 21, No. 1, e20174, 19.01.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Turkeltaub, T, Wang, J, Cheng, Q, Jia, X, Zhu, YZ, Shao, M-A & Binley, A 2022, 'Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers', Vadose Zone Journal, vol. 21, no. 1, e20174. https://doi.org/10.1002/vzj2.20174

APA

Turkeltaub, T., Wang, J., Cheng, Q., Jia, X., Zhu, Y. Z., Shao, M.-A., & Binley, A. (2022). Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. Vadose Zone Journal, 21(1), Article e20174. https://doi.org/10.1002/vzj2.20174

Vancouver

Turkeltaub T, Wang J, Cheng Q, Jia X, Zhu YZ, Shao MA et al. Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. Vadose Zone Journal. 2022 Jan 19;21(1):e20174. Epub 2021 Dec 22. doi: 10.1002/vzj2.20174

Author

Turkeltaub, Tuvia ; Wang, Jiao ; Cheng, Qinbo et al. / Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. In: Vadose Zone Journal. 2022 ; Vol. 21, No. 1.

Bibtex

@article{084b6c8ab3544eabad5194b75e4e2d12,
title = "Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers",
abstract = "Vegetation changes that are driven by soil conservation measures significantly affect subsurface water flow patterns and soil water status. Much research on water consumption and sustainability of newly introduced vegetation types at the plot scale has been done in the Loess Plateau of China (LPC), typically using local scale measurements of soil water content (SWC). However, information collected at the plot scale cannot readily be up-scaled. Geophysical methods such as electromagnetic induction (EMI) offer large spatial coverage and, therefore, could bridge between the scales. A noninvasive, multicoil, frequency domain, EMI instrument was used to measure the apparent soil electrical conductivity (σ a) from six effective depths under four typical land-covers (shrub, pasture, natural fallow, and crop) in the north of the LPC. Concurrently, SWC was monitored to a depth of 4 m using an array of 44 neutron probes distributed along the plots. The measurements of σ a for six effective depths and the integrated SWC over these depths, show consistent behavior. High variability of σ a under shrub cover, in particular, is consistent with long term variability of SWC, highlighting the potential unsustainability of this land cover. Linear relationships between SWC and σ a were established using cumulative sensitivity forward models. The conductivity–SWC model parameters show clear variation with depth despite lack of appreciable textural variation. This is likely related to the combined effect of elevated pore water conductivity as was illustrated by the simulations obtained with water flow and solute transport models. The results of the study highlight the potential for the implementation of the EMI method for investigations of water distribution in the vadose zone of the LPC, and in particular for qualitative mapping of the vulnerability to excessive vegetation demands and hence, unsustainable land cover.",
author = "Tuvia Turkeltaub and Jiao Wang and Qinbo Cheng and Xiaoxu Jia and Zhu, {Yuanjun Zhu} and Ming-An Shao and Andrew Binley",
note = "This is the peer reviewed version of the following article: Tuvia Turkeltaub, Jiao Wang, Qinbo Cheng, Xiaoxu Jia,Yuanjun Zhu, Ming-An Shao, Andrew Binley (2022), Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. Vadose Zone Journal. doi: 10.1002/vzj2.20174 which has been published in final form at https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20174 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving. ",
year = "2022",
month = jan,
day = "19",
doi = "10.1002/vzj2.20174",
language = "English",
volume = "21",
journal = "Vadose Zone Journal",
issn = "1539-1663",
publisher = "SOIL SCI SOC AMER",
number = "1",

}

RIS

TY - JOUR

T1 - Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers

AU - Turkeltaub, Tuvia

AU - Wang, Jiao

AU - Cheng, Qinbo

AU - Jia, Xiaoxu

AU - Zhu, Yuanjun Zhu

AU - Shao, Ming-An

AU - Binley, Andrew

N1 - This is the peer reviewed version of the following article: Tuvia Turkeltaub, Jiao Wang, Qinbo Cheng, Xiaoxu Jia,Yuanjun Zhu, Ming-An Shao, Andrew Binley (2022), Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers. Vadose Zone Journal. doi: 10.1002/vzj2.20174 which has been published in final form at https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20174 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2022/1/19

Y1 - 2022/1/19

N2 - Vegetation changes that are driven by soil conservation measures significantly affect subsurface water flow patterns and soil water status. Much research on water consumption and sustainability of newly introduced vegetation types at the plot scale has been done in the Loess Plateau of China (LPC), typically using local scale measurements of soil water content (SWC). However, information collected at the plot scale cannot readily be up-scaled. Geophysical methods such as electromagnetic induction (EMI) offer large spatial coverage and, therefore, could bridge between the scales. A noninvasive, multicoil, frequency domain, EMI instrument was used to measure the apparent soil electrical conductivity (σ a) from six effective depths under four typical land-covers (shrub, pasture, natural fallow, and crop) in the north of the LPC. Concurrently, SWC was monitored to a depth of 4 m using an array of 44 neutron probes distributed along the plots. The measurements of σ a for six effective depths and the integrated SWC over these depths, show consistent behavior. High variability of σ a under shrub cover, in particular, is consistent with long term variability of SWC, highlighting the potential unsustainability of this land cover. Linear relationships between SWC and σ a were established using cumulative sensitivity forward models. The conductivity–SWC model parameters show clear variation with depth despite lack of appreciable textural variation. This is likely related to the combined effect of elevated pore water conductivity as was illustrated by the simulations obtained with water flow and solute transport models. The results of the study highlight the potential for the implementation of the EMI method for investigations of water distribution in the vadose zone of the LPC, and in particular for qualitative mapping of the vulnerability to excessive vegetation demands and hence, unsustainable land cover.

AB - Vegetation changes that are driven by soil conservation measures significantly affect subsurface water flow patterns and soil water status. Much research on water consumption and sustainability of newly introduced vegetation types at the plot scale has been done in the Loess Plateau of China (LPC), typically using local scale measurements of soil water content (SWC). However, information collected at the plot scale cannot readily be up-scaled. Geophysical methods such as electromagnetic induction (EMI) offer large spatial coverage and, therefore, could bridge between the scales. A noninvasive, multicoil, frequency domain, EMI instrument was used to measure the apparent soil electrical conductivity (σ a) from six effective depths under four typical land-covers (shrub, pasture, natural fallow, and crop) in the north of the LPC. Concurrently, SWC was monitored to a depth of 4 m using an array of 44 neutron probes distributed along the plots. The measurements of σ a for six effective depths and the integrated SWC over these depths, show consistent behavior. High variability of σ a under shrub cover, in particular, is consistent with long term variability of SWC, highlighting the potential unsustainability of this land cover. Linear relationships between SWC and σ a were established using cumulative sensitivity forward models. The conductivity–SWC model parameters show clear variation with depth despite lack of appreciable textural variation. This is likely related to the combined effect of elevated pore water conductivity as was illustrated by the simulations obtained with water flow and solute transport models. The results of the study highlight the potential for the implementation of the EMI method for investigations of water distribution in the vadose zone of the LPC, and in particular for qualitative mapping of the vulnerability to excessive vegetation demands and hence, unsustainable land cover.

U2 - 10.1002/vzj2.20174

DO - 10.1002/vzj2.20174

M3 - Journal article

VL - 21

JO - Vadose Zone Journal

JF - Vadose Zone Journal

SN - 1539-1663

IS - 1

M1 - e20174

ER -