Unverified paper record
Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches
Physiologia Plantarum. · 1 Apr 2019
Abstract
More frequently occurring, drought waves call for a deeper understanding of tree hydraulics and fast and easily applicable methods to measure drought stress. The aim of this study was to establish empirical relationships between the percent loss of hydraulic conductivity (PLC) and the relative water loss (RWL) in woody stem axes with different P₅₀, i.e. the water potential (Ψ) that causes 50% conductivity loss. Branches and saplings of temperate conifer (Picea abies, Larix decidua) and angiosperm species (Acer campestre, Fagus sylvatica, Populus x canescens, Populus tremula, Sorbus torminalis) and trunk wood of mature P. abies trees were analyzed. P₅₀ was calculated from hydraulic measurements following bench top dehydration or air injection. RWL and PLC were fitted by linear, quadratic or cubic equations. Species‐ or age‐specific RWLs at P₅₀ varied between 10 and 25% and P₈₈, the Ψ that causes 88% conductivity loss, between 18 and 44%. P₅₀ was predicted from the relationship between Ψ and the RWL. The predictive quality for P₅₀ across species was almost 1:1 (r² = 0.99). The approach presented allows thus reliable and fast prediction of PLC from RWL. Branches and saplings with high hydraulic vulnerability tended to have lower RWLs at P₅₀ and at P₈₈. The results are discussed with regard to the different water storage capacities in sapwood and survival strategies under drought stress. Potential applications are screening trees for drought sensitivity and a fast interpretation of diurnal, seasonal or drought induced changes in xylem water content upon their impact on conductivity loss.
Plant phenotyping relevance
相対含水損失から木部の水力伝導度損失を迅速に推定する測定・予測手法を確立し、複数樹種で予測性能を検証しているため、植物の乾燥ストレス状態を評価する方法研究として中心的である。
abstractThe aim of this study was to establish empirical relationships between the percent loss of hydraulic conductivity (PLC) and the relative water loss (RWL) in woody stem axes with different P₅₀
abstractThe approach presented allows thus reliable and fast prediction of PLC from RWL.
abstractThe predictive quality for P₅₀ across species was almost 1:1 (r² = 0.99).
abstractPotential applications are screening trees for drought sensitivity
Code and data availability
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