Shubham S Chhajed, Ian J Wright, Oscar Perez-Priego
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We tested these ideas across 18 woody species at a temperate woodland in eastern Australia, focusing on hydraulic traits representing different aspects of plant water balance, that is storage (sapwood capacitance, C<sub>S</sub>), demand vs supply (branch leaf : sapwood area ratio, A<sub>L</sub> : A<sub>S</sub> and leaf : sapwood mass ratio and M<sub>L</sub> : M<sub>S</sub>), access to soil water (proxied by predawn leaf water potential, Ψ<sub>PD</sub>) and physical strength (sapwood density, WD). Species with higher A<sub>L</sub> : A<sub>S</sub> had higher ratio of leaf-internal to ambient CO<sub>2</sub> concentration during photosynthesis (c<sub>i</sub> : c<sub>a</sub>), a trait central to the least-cost theory framework. C<sub>S</sub> and the daily operating range of tissue water potential (∆Ψ) had an interactive effect on c<sub>i</sub> : c<sub>a</sub>. C<sub>S</sub>, WD and Ψ<sub>PD</sub> were significantly correlated with each other. These results, along with those from multivariate analyses, underscored the pivotal role leaf : sapwood allocation (A<sub>L</sub> : A<sub>S</sub>), and water storage (C<sub>S</sub>) play in coordination between plant hydraulic and photosynthetic systems. 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Here, we extended 'least-cost' optimality theory to derive predictions for how variation in key hydraulic traits potentially affects the cost of acquiring and using water in photosynthesis and how this, in turn, should drive variation in photosynthetic traits. We tested these ideas across 18 woody species at a temperate woodland in eastern Australia, focusing on hydraulic traits representing different aspects of plant water balance, that is storage (sapwood capacitance, C<sub>S</sub>), demand vs supply (branch leaf : sapwood area ratio, A<sub>L</sub> : A<sub>S</sub> and leaf : sapwood mass ratio and M<sub>L</sub> : M<sub>S</sub>), access to soil water (proxied by predawn leaf water potential, Ψ<sub>PD</sub>) and physical strength (sapwood density, WD). Species with higher A<sub>L</sub> : A<sub>S</sub> had higher ratio of leaf-internal to ambient CO<sub>2</sub> concentration during photosynthesis (c<sub>i</sub> : c<sub>a</sub>), a trait central to the least-cost theory framework. 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引用次数: 0
摘要
共生植物的水力和光合特性差异很大。在这里,我们扩展了 "最低成本 "最优理论,以预测关键水力特征的变化如何潜在地影响光合作用中获取和使用水分的成本,以及这反过来又如何驱动光合作用特征的变化。我们对澳大利亚东部温带林地的 18 种木本植物进行了测试,重点研究了代表植物水分平衡不同方面的水力特征,即储水(边材电容,CS)、供求(枝叶与边材面积比,AL :AS和叶:边材质量比以及ML :MS)、对土壤水分的获取(以黎明前叶片水势ΨPD 表示)和物理强度(边材密度 WD)。AL :AS较高的物种在光合作用期间叶片内部与环境二氧化碳浓度之比(ci : ca)较高,这是最低成本理论框架的核心特征。CS 和组织水势(ΔΨ)的日工作范围对 ci : ca 有交互影响。CS、WD 和 ΨPD 之间存在显著的相关性。这些结果以及多元分析的结果都强调了叶片:边材分配(AL:AS)和储水(CS)在植物水力和光合系统协调中的关键作用。这项研究以最优性理论为基础,独特地探讨了水力特征在预测物种光合作用特异性变化中的作用,并强调了植物碳水平衡中的重要机理联系。
Theory and tests for coordination among hydraulic and photosynthetic traits in co-occurring woody species.
Co-occurring plants show wide variation in their hydraulic and photosynthetic traits. Here, we extended 'least-cost' optimality theory to derive predictions for how variation in key hydraulic traits potentially affects the cost of acquiring and using water in photosynthesis and how this, in turn, should drive variation in photosynthetic traits. We tested these ideas across 18 woody species at a temperate woodland in eastern Australia, focusing on hydraulic traits representing different aspects of plant water balance, that is storage (sapwood capacitance, CS), demand vs supply (branch leaf : sapwood area ratio, AL : AS and leaf : sapwood mass ratio and ML : MS), access to soil water (proxied by predawn leaf water potential, ΨPD) and physical strength (sapwood density, WD). Species with higher AL : AS had higher ratio of leaf-internal to ambient CO2 concentration during photosynthesis (ci : ca), a trait central to the least-cost theory framework. CS and the daily operating range of tissue water potential (∆Ψ) had an interactive effect on ci : ca. CS, WD and ΨPD were significantly correlated with each other. These results, along with those from multivariate analyses, underscored the pivotal role leaf : sapwood allocation (AL : AS), and water storage (CS) play in coordination between plant hydraulic and photosynthetic systems. This study uniquely explored the role of hydraulic traits in predicting species-specific photosynthetic variation based on optimality theory and highlights important mechanistic links within the plant carbon-water balance.
期刊介绍:
New Phytologist is a leading publication that showcases exceptional and groundbreaking research in plant science and its practical applications. With a focus on five distinct sections - Physiology & Development, Environment, Interaction, Evolution, and Transformative Plant Biotechnology - the journal covers a wide array of topics ranging from cellular processes to the impact of global environmental changes. We encourage the use of interdisciplinary approaches, and our content is structured to reflect this. Our journal acknowledges the diverse techniques employed in plant science, including molecular and cell biology, functional genomics, modeling, and system-based approaches, across various subfields.