Predicting key water stress indicators of Eucalyptus viminalis and Callitris rhomboidea using high-resolution visible to short-wave infrared spectroscopy.

Abstract

Drought is one of the main factors contributing to tree mortality worldwide and drought events are set to become more frequent and intense in the face of a changing climate. Quantifying water stress of forests is crucial in predicting and understanding their vulnerability to drought-induced mortality. Here, we explore the use of high-resolution spectroscopy in predicting water stress indicators of two native Australian tree species, Callitris rhomboidea and Eucalyptus viminalis. Specific spectral features and indices derived from leaf-level spectroscopy were assessed as potential proxies to predict leaf water potential (Ψ leaf ), equivalent water thickness (EWT) and fuel moisture content (FMC) in a dedicated laboratory experiment. New spectral indices were identified that enabled very high confidence linear prediction of Ψ leaf for both species (R 2 > 0.85) with predictive capacity increasing when accounting for a breakpoint in the relationships using segmented regression (E. viminalis, R 2 > 0.89; C. rhomboidea, R 2 > 0.87). EWT and FMC were also linearly predicted to a high accuracy (E. viminalis, R 2 > 0.90; C. rhomboidea, R 2 > 0.80). This study highlights the potential of spectroscopy as a tool for predicting measures of plant water noninvasively, enabling broader applications for monitoring and managing plant water stress.

Plant phenotyping relevance

葉レベル分光法を用いて植物の水ポテンシャル、含水量、燃料水分を非侵襲的に推定する手法を開発・評価しており、表現型取得が研究の中心です。

Code and data availability

The supplied blocks describe leaf spectral measurements and R-based analysis (HSDAR package) but contain no public data deposit, author code repository, or explicit availability statement with a URL. The only pointer is a generic Supporting Information note without a link or described contents, which does not qualify.

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