The temperature effect and correction models for using electrical resistivity to estimate wood moisture variations

Luo, Zidong; Guan, Huade; Zhang, Cicheng

doi:10.1016/j.jhydrol.2019.124022

Cited by 15 publications

(17 citation statements)

References 41 publications

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“…A significant increase in ER values was observed between November and March, a period during which average temperatures remained below 5°C for the 3 study sites. Effects of the winter season and lower temperatures on the overall increase in ER values have already been highlighted in previous studies (Ganthaler et al 2019;Larsson et al 2004;Luo et al 2019). Using the temperature correction model of Luo et al (2019), we observed that the ER of the trunks remained very stable whatever the season (Fig.…”

Section: Discussionsupporting

confidence: 76%

Using electrical resistivity tomography to detect wetwood and estimate moisture content in silver fir (Abies alba Mill.)

Martin

Cochard

Mayr

et al. 2021

Annals of Forest Science

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Section: Discussionsupporting

confidence: 76%

Using electrical resistivity tomography to detect wetwood and estimate moisture content in silver fir (Abies alba Mill.)

Martin

Cochard

Mayr

et al. 2021

Annals of Forest Science

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“…The present study demonstrates that ER tomography is a useful tool for analyzing structural and functional traits of tree trunks, but temperature effects may substantially limit this method. Unless relevant temperature variations can be excluded, measurements of xylem temperatures and corrections of ER calculations are thus strongly recommended (Ganthaler et al 2019 ; Luo et al 2019 ). To account for complex temperature patterns, e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Ganthaler et al ( 2019 ) showed that average ER values of conifer trunks are correlated with shoot water potential and trunk temperature. While ER distribution patterns do not change above the freezing point, average ER values decrease exponentially from 0 to 30 °C (Ganthaler et al 2019 ; see also Luo et al 2019 ). Thus, temperature effects should be negligible as long as small changes in temperature occur (e.g.…”

Section: Introductionmentioning

confidence: 99%

Insights into trunks of Pinus cembra L.: analyses of hydraulics via electrical resistivity tomography

Losso

Sailer

Bär

et al. 2020

Trees

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Key message The lack of elevational changes in electrical resistivity in Pinus cembra trunks indicated consistent growth and hydraulics across elevations. Though, electrical resistivity tomograms exhibited pronounced temperaturedriven seasonal changes. Abstract Alpine conifers growing at high elevation are exposed to low temperatures, which may limit xylogenesis and cause pronounced seasonal changes in tree hydraulics. Electrical resistivity (ER) tomography enables minimal invasive monitoring of stems in situ. We used this technique to analyze Pinus cembra trunks along a 400 m elevational gradient up to the timberline and over seasons. Furthermore, ER data of earlywood across tree rings were compared with the respective specific hydraulic conductivity (K S), measured on extracted wood cores. ER tomograms revealed pronounced changes over the year and a strong correlation between average ER (ER mean) and air and xylem temperatures. Surprisingly, no elevational changes in ER mean , earlywood ER or K S were observed. ER data corresponded to variation in earlywood K S , which decreased from the youngest (ca. 4-5 cm 2 s −1 MPa −1) to the oldest tree rings (0.63 ± 0.22 cm 2 s −1 MPa −1). The lack of changes in ER data and earlywood K S along the study transect indicated consistent growth patterns and no major changes in structural and functional hydraulic traits across elevation. The constant decrease in earlywood K S with tree ring age throughout all elevations highlights the hydraulic relevance of the outermost tree rings in P. cembra. Seasonal measurements demonstrated pronounced temperature effects on ER, and we thus recommend a detailed monitoring of trunk temperatures for ER tomography.

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“…Here the inversion is stopped when the rrms value reaches 2% or χ 2 is around 5 to 8 (Günther and Rücker 2006). Optimized resistivity fields were then temperature-corrected at 25°C (Luo et al 2019) based on field thermometers (see next section) assuming homogeneous lateral temperature distribution and linear depth interpolation. Besides ERT, we installed nine TDR probes along with the ryegrass plant plot at different depths (i.e., soil horizons) for monitoring on an hourly basis soil water content (θ TDR ) and electrical resistivity (ρ TDR ) from 29/ 05/2018 to 26/10/2018.…”

Section: Ert Inversion Theorymentioning

confidence: 99%

“…Temperature sensors were installed at the same depths as the TDR for electrical resistivity temperature correction. We followed a 2% decrease in electrical resistivity per degree centigrade (Beff et al 2013;Whalley et al 2017;Luo et al 2019).…”

Section: Ert Inversion Theorymentioning

confidence: 99%

Imaging plant responses to water deficit using electrical resistivity tomography

et al. 2020

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Background and aims Monitoring root water uptake dynamics under water deficit (WD) conditions in fields are crucial to assess plant drought tolerance. In this study, we investigate the ability of Electrical Resistivity Tomography (ERT) to capture specific soil water depletion induced by root water uptake. Methods A combination of surface and depth electrodes with a high spatial resolution (10 cm) was used to map 2-D changes of bulk soil electrical conductivity (EC) in an agronomic trial with different herbaceous species. A synthetic experiment was performed with a mechanistic model to assess the ability of the electrode configuration to discriminate abstraction patterns due to roots. The impact of root segments was incorporated in the forward electrical model using the power-law mixing model. Results The time-lapse analysis of the synthetic ERT experiment shows that different root water uptake patterns can be delineated for measurements collected under WD conditions but not under wet conditions. Three indices were found (depletion amount, maximum depth, and spread), which allow capturing plant-specific water signatures based moisture profile changes derived from EC profiles. When root electrical properties were incorporated in the synthetic experiments, it led to the wrong estimation of the amount of water depletion, but a correct ranking of plants depletion depth. When applied to the filed data, our indices showed that Cocksfoot and Ryegrass had shallower soil water depletion zones than white clover and white clover combined with Ryegrass. However, in terms of water depletion amount, Cocksfoot consumed the largest amount of water, followed by White Clover, Ryegrass+White Clover mixture, and Ryegrass. Conclusion ERT is a well-suited method for phenotyping root water uptake ability in field trials under WD conditions.

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The temperature effect and correction models for using electrical resistivity to estimate wood moisture variations

Cited by 15 publications

References 41 publications

Using electrical resistivity tomography to detect wetwood and estimate moisture content in silver fir (Abies alba Mill.)

Using electrical resistivity tomography to detect wetwood and estimate moisture content in silver fir (Abies alba Mill.)

Insights into trunks of Pinus cembra L.: analyses of hydraulics via electrical resistivity tomography

Imaging plant responses to water deficit using electrical resistivity tomography

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