AE in Biological Materials

Steppe, Kathy; Aggelis, Dimitrios G.; Große, Christian U.

doi:10.1007/978-3-030-67936-1_20

Cited by 4 publications

(4 citation statements)

References 84 publications

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“…Two indirect techniques were used to construct the vulnerability curves at branch and leaf level, namely, the AV method and OV method. Both of them have been validated several times using other methods (see e.g., Nolf et al, 2015b;De Baerdemaeker et al, 2019b;Steppe et al, 2022 for the AV method and Skelton and Diaz, 2020 for the OV method), so it was decided not to repeat this validation in this study. The AV method was, for example, validated by Vergeynst et al (2015) comparing the AV results with simultaneously acquired X-ray micro-computed tomography (µCT) images.…”

Section: Discussion Hydraulic Traitsmentioning

confidence: 99%

“…The P 50 values for the AV method (defined as AE 50 in Steppe et al, 2022) were determined by using two different procedures. First, the endpoint of embolism formation (AE 100 ) was determined as in Vergeynst et al (2016).…”

Section: Acoustic Vulnerability Curvesmentioning

confidence: 99%

“…In short, AE 100 was determined as the point at which the decrease in AE activity, following the AE activity peak, decreases most strongly, which corresponds to the local maximum of the third derivative after the peak in the AE activity (Vergeynst et al, 2016;Steppe et al, 2022). The time interval used to calculate the third derivative was dependent on the timespan at which the AE-activity peaks (Steppe et al, 2022), and varied between 6.1 and 10.1 h. An estimation of the continuous water potential series was obtained by establishing a pooled linear relationship between the relative radial shrinkage of the branch (µm mm −1 , strain) and the water potential measurements (MPa, stress) (De Baerdemaeker et al, 2019a). Again, a linear regression and a piecewise linear model were constructed, after which the model with the highest adjusted r-squared was retained.…”

Section: Acoustic Vulnerability Curvesmentioning

confidence: 99%

“…To plot the acoustic vulnerability curves, the cumulative AE signals between the start of the experiment and AE 100 were re-scaled between 0 and 100. AE 50 was then determined as the water potential at 50% of the cumulative AEs (Steppe et al, 2022), and will henceforth be referred to as P 50,AV in this study. Second, P 50 , AV was determined as the water potential at the peak of the activity curve, which is the first derivative of the cumulative AE-curve (Nolf et al, 2015a).…”

Section: Acoustic Vulnerability Curvesmentioning

confidence: 99%

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Section: Discussion Hydraulic Traitsmentioning

confidence: 99%

Section: Acoustic Vulnerability Curvesmentioning

confidence: 99%

Section: Acoustic Vulnerability Curvesmentioning

confidence: 99%

Section: Acoustic Vulnerability Curvesmentioning

confidence: 99%

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Limited plasticity of anatomical and hydraulic traits in aspen trees under elevated CO2 and seasonal drought

et al. 2021

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The timing of abiotic stress elicitors on wood formation largely affects xylem traits that determine xylem efficiency and vulnerability. Nonetheless, seasonal variability of elevated CO2 (eCO2) effects on tree functioning under drought remains largely unknown. To address this knowledge gap, 1-year-old aspen (Populus tremula L.) trees were grown under ambient (±445 ppm) and elevated (±700 ppm) CO2 and exposed to an early (spring/summer 2019) or late (summer/autumn 2018) season drought event. Stomatal conductance and stem shrinkage were monitored in vivo as xylem water potential decreased. Additional trees were harvested for characterization of wood anatomical traits and to determine vulnerability and desorption curves via bench dehydration. The abundance of narrow vessels decreased under eCO2 only during the early season. At this time, xylem vulnerability to embolism formation and hydraulic capacitance during severe drought increased under eCO2. Contrastingly, stomatal closure was delayed during the late season, while hydraulic vulnerability and capacitance remained unaffected under eCO2. Independently of the CO2 treatment, elastic, and inelastic water pools depleted simultaneously after 50% of complete stomatal closure. Our results suggest that the effect of eCO2 on drought physiology and wood traits are small and variable during the growing season and question a sequential capacitive water release from elastic and inelastic pools as drought proceeds.

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Tree water transport dynamics in a changing climate

Steppe

2023

Acta Hortic.

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AE in Biological Materials

Cited by 4 publications

References 84 publications

Lianas, Ecosystems, and Global Change

Lianas, Ecosystems, and Global Change

Limited plasticity of anatomical and hydraulic traits in aspen trees under elevated CO2 and seasonal drought

Tree water transport dynamics in a changing climate

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