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The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees
Published on: December 27, 2017
Normalized tree water deficit: an automated dendrometer signal to quantify drought stress in trees
Richard L Peters1,2, David Basler2,3, Roman Zweifel3
1Tree Growth and Wood Physiology, TUM School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, Freising, 85354, Germany.
None:
Trees often encounter periods of low soil water availability and high vapor pressure deficit, which induce drought stress and significantly impair their physiological functioning, growth, and survival. Automated dendrometers are valuable tools for quantifying signals related to tree water status, such as tree water deficit (TWD). Despite previous attempts, a robust method to clearly identify drought stress timing and intensity from TWD is still lacking. We established a novel normalized tree water deficit (TWDnorm) index to quantify drought stress of trees that relies on TWDnorm and normalized maximum daily shrinkage (MDSnorm). We validate our approach with measurements of leaf water potential, stomatal conductance (gs), and critical hydraulic thresholds from 118 trees from nine European tree species at the Swiss Canopy Crane II site. TWDnorm proved to be effective in identifying periods of decreased gs and the onset of leaf turgor loss. We have found robust species-specific thresholds for TWDnorm at which leaf turgor is lost, and the combination of TWDnorm and MDSnorm could be interpreted as a general index for drought stress. Deriving TWDnorm and MDSnorm solely from automated dendrometer data provides a unique biological drought stress signal that complements meteorological, hydrological, and satellite-borne drought indicators.
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