Prediction of hydraulic conductivity loss from relative water loss: new insights into water storage of tree stems and branches.

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 P 50 , 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. P 50 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 P 50 varied between 10 and 25% and P 88 , the Ψ that causes 88% conductivity loss, between 18 and 44%. P 50 was predicted from the relationship between Ψ and the RWL. The predictive quality for P 50 across species was almost 1:1 (r 2 = 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 P 50 and at P 88 . 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

相対含水損失から水理伝導度損失を予測する経験的測定・推定法を開発し、その予測性能を検証している。乾燥ストレスや樹木の脆弱性評価への再利用可能な手法が中心である。

Code and data availability

The article describes hydraulic/RWL phenotyping measurements and SPSS-based curve fitting, but no public phenotype dataset, images, code repository, or model deposit is mentioned. The only URL present is the CC-BY 4.0 license notice, which is not a paper-specific asset. Appendices S1–S6 are referenced but no public URL

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