Peters Richard L, Basler David, Zweifel Roman, Steger David N, Zhorzel Tobias, Zahnd Cedric, Hoch Günter, Kahmen Ansgar
Tree Growth and Wood Physiology, TUM School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, Freising, 85354, Germany.
Department of Environmental Sciences - Botany, University of Basel, Schönbeinstrasse 6, Basel, CH-4056, Switzerland.
New Phytol. 2025 Aug;247(3):1186-1198. doi: 10.1111/nph.70266. Epub 2025 Jun 11.
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) index to quantify drought stress of trees that relies on TWD and normalized maximum daily shrinkage (MDS). We validate our approach with measurements of leaf water potential, stomatal conductance (g), and critical hydraulic thresholds from 118 trees from nine European tree species at the Swiss Canopy Crane II site. TWD proved to be effective in identifying periods of decreased g and the onset of leaf turgor loss. We have found robust species-specific thresholds for TWD at which leaf turgor is lost, and the combination of TWD and MDS could be interpreted as a general index for drought stress. Deriving TWD and MDS solely from automated dendrometer data provides a unique biological drought stress signal that complements meteorological, hydrological, and satellite-borne drought indicators.
树木常常会经历土壤水分供应不足和水汽压差高的时期,这会引发干旱胁迫,并显著损害其生理功能、生长和存活。自动树木测径仪是量化与树木水分状况相关信号的宝贵工具,例如树木水分亏缺(TWD)。尽管此前有过尝试,但仍缺乏一种能从TWD清晰识别干旱胁迫时间和强度的可靠方法。我们建立了一种新的归一化树木水分亏缺(TWD)指数,以量化依赖于TWD和归一化最大日收缩量(MDS)的树木干旱胁迫。我们在瑞士树冠起重机二号站点,通过对9种欧洲树种的118棵树的叶片水势、气孔导度(g)和临界水力阈值的测量来验证我们的方法。结果表明,TWD在识别g下降时期和叶片膨压丧失的开始方面是有效的。我们发现了TWD在叶片膨压丧失时的可靠的物种特异性阈值,并且TWD和MDS的组合可以被解释为干旱胁迫的通用指标。仅从自动树木测径仪数据得出TWD和MDS,提供了一个独特的生物干旱胁迫信号,可补充气象、水文和卫星干旱指标。