Normalized tree water deficit: an automated dendrometer signal to quantify drought stress in trees

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 (TWD<sub>norm</sub>) index to quantify drought stress of trees that relies on TWD<sub>norm</sub> and normalized maximum daily shrinkage (MDS<sub>norm</sub>). We validate our approach with measurements of leaf water potential, stomatal conductance (g<sub>s</sub>), and critical hydraulic thresholds from 118 trees from nine European tree species at the Swiss Canopy Crane II site. TWD<sub>norm</sub> proved to be effective in identifying periods of decreased g<sub>s</sub> and the onset of leaf turgor loss. We have found robust species-specific thresholds for TWD<sub>norm</sub> at which leaf turgor is lost, and the combination of TWD<sub>norm</sub> and MDS<sub>norm</sub> could be interpreted as a general index for drought stress. Deriving TWD<sub>norm</sub> and MDS<sub>norm</sub> solely from automated dendrometer data provides a unique biological drought stress signal that complements meteorological, hydrological, and satellite-borne drought indicators.

Authors

Institutions

Publication Details

Journal
New Phytologist
Published
2025-06-11
DOI
https://doi.org/10.1111/nph.70266
Citations
13
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
14.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Normalized tree water deficit: an automated dendrometer signal to quantify drought stress in trees

Ansgar Kahmen, David Basler, David N. Steger, Richard L. Peters et al.
13 citations
New Phytologist
Plant Water Relations and Carbon Dynamics
14.37
article

Normalized tree water deficit: an automated dendrometer signal to quantify drought stress in trees

Ansgar Kahmen, David Basler, David N. Steger, Richard L. Peters, Roman Zweifel, Cedric Zahnd, Günter Hoch, Tobias Zhorzel
article en
13 citations

Abstract

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 (TWD<sub>norm</sub>) index to quantify drought stress of trees that relies on TWD<sub>norm</sub> and normalized maximum daily shrinkage (MDS<sub>norm</sub>). We validate our approach with measurements of leaf water potential, stomatal conductance (g<sub>s</sub>), and critical hydraulic thresholds from 118 trees from nine European tree species at the Swiss Canopy Crane II site. TWD<sub>norm</sub> proved to be effective in identifying periods of decreased g<sub>s</sub> and the onset of leaf turgor loss. We have found robust species-specific thresholds for TWD<sub>norm</sub> at which leaf turgor is lost, and the combination of TWD<sub>norm</sub> and MDS<sub>norm</sub> could be interpreted as a general index for drought stress. Deriving TWD<sub>norm</sub> and MDS<sub>norm</sub> solely from automated dendrometer data provides a unique biological drought stress signal that complements meteorological, hydrological, and satellite-borne drought indicators.

New PhytologistVol. 247(3)
University of Basel (CH), University of Utah (US), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Technical University of Munich (DE)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Bundesamt für Umwelt
Openalex Percentile: Top 1%
Plant Water Relations and Carbon Dynamics
14.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.