与光合作用能力相比,水力特性对树木最大树液通量密度的限制更大:全球证据

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-12-10 Epub Date: 2024-10-21 DOI:10.1016/j.scitotenv.2024.177030
Yanting Hu, Liwei Zhu, Chuan Yuan, Wenneng Zhou, Yelin Zeng, Shuai Ouyang, Liang Chen, Huili Wu, Pifeng Lei, Xiangwen Deng, Zhonghui Zhao, Xi Fang, Wenhua Xiang
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引用次数: 0

摘要

蒸腾作用是陆地与大气进行水和碳交换的关键过程,其最大水分运输能力影响着植物的生产力。功能特性对最大蒸腾速率有重要影响,但哪个因素起主导作用仍是未知数。SAPFLUXNET 数据集包括全球不同物种的汁液通量密度,为检验光合作用和水力特征对最大树液通量密度(Js_max)的重要性提供了基础数据。在这里,我们利用 SAPFLUXNET 数据集的数据研究了 129 个物种中 2194 棵树的 Js_max 变化,并分析了 Js_max 与光合作用和水力特征的关系。结果表明,在叶片和树木水平上,Js_max 与光合作用性状呈正相关。在水力特征方面,Js_max 与木质部水力传导率(Ks)、叶片特异性水力传导率(Kl)、木质部压力导致的 50% 水力传导率损失(P50)、木质部血管直径(Vdia)和叶片与边材面积比(AlAs)呈正相关。随机森林模型显示,87%的Js_max变异可由功能性状解释,水力性状(如P50和边材面积As)对Js_max的影响大于光合性状。此外,边材面积或深度较小的树木可以增加树液通量密度,以补偿全树蒸腾作用的降低。被子植物的 Js_max 明显高于裸子植物。年平均总降水量(MAP)与Js_max呈正相关,但相关系数较弱。此外,Js_max 显示出显著的系统发育信号,布隆伯格 K 值低于 0.2。总体而言,具有资源获取经济性或更高效水力系统的树种具有更高的水输送能力,木质部水力系统的效率而非碳吸收需求是决定水输送能力的主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydraulic traits exert greater limitations on tree-level maximum sap flux density than photosynthetic ability: Global evidence.

Transpiration is a key process that couples the land-atmosphere exchange of water and carbon, and its maximum water transport ability affects plant productivity. Functional traits significantly influence the maximum transpiration rate; however, which factor plays the dominant role remains unknown. SAPFLUXNET dataset, which includes sap flux density of diverse species worldwide, provides fundamental data to test the importance of photosynthetic and hydraulic traits on maximum tree-level sap flux density (Js_max). Here, we investigated variations in Js_max of 2194 trees across 129 species using data from the SAPFLUXNET dataset, and analysed the relationship of Js_max with photosynthetic and hydraulic traits. Our results indicated that Js_max was positively correlated with photosynthetic traits at both leaf and tree level. Regarding hydraulic traits, Js_max was positively related to xylem hydraulic conductivity (Ks), leaf-specific hydraulic conductivity (Kl), xylem pressure inducing 50 % loss of hydraulic conductivity (P50), xylem vessel diameter (Vdia), and leaf-to-sapwood area ratio (AlAs). Random forest model showed that 87 % of the variability in Js_max can be explained by functional traits, and hydraulic traits (e.g., P50 and sapwood area, As) exerted larger effects on Js_max than photosynthetic traits. Moreover, trees with a lower sapwood area or depth could increase their sap flux density to compensate for the reduced whole-tree transpiration. Js_max of the angiosperms was significantly higher than that of the gymnosperms. Mean annual total precipitation (MAP) were positively related to Js_max with a weak correlation coefficient. Furthermore, Js_max showed a significant phylogenetic signal with Blomberg's K below 0.2. Overall, tree species with acquisitive resource economics or more efficient hydraulic systems show higher water transport capacity, and the efficiency of xylem hydraulic system rather than the demand for carbon uptake predominantly determines water transport capacity.

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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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