Within-individual leaf trait response to local light availability and biodiversity in a subtropical forest experiment

IF 4.3 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2025-07-18 DOI:10.1002/ecy.70160
Tobias Proß, Helge Bruelheide, Sylvia Haider
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引用次数: 0

Abstract

Leaf traits are important indicators of ecosystem functions. Trait values can vary widely between species, and a considerable amount of variation also occurs within species. However, within-individual variation is often neglected due to the limitations of traditional measurement tools. Many leaf trait values respond to light availability, which, in turn, is affected by the surrounding vegetation. Additionally, there is a strong within-individual light gradient, especially in tree canopies. In the BEF-China (Biodiversity–Ecosystem Functioning China) subtropical forest plantation, we analyzed how leaf trait values respond to light availability and neighboring tree species richness at the within-individual level. We sampled across the vertical light gradient formed by neighboring trees planted at varying diversity levels from monocultures to 24-species mixtures. We closely paired the leaf samples with sensor-based measurements of light availability. We used visible and near-infrared spectroscopy (spectral range: 350–2500 nm) to predict 14 leaf traits across 4981 leaves from 15 native tree species. Using a key feature of spectroscopy—deriving multiple leaf traits from a single spectral measurement of a sample—we assessed all traits simultaneously at the leaf level. We investigated whether an individual tree's direct neighbor or the surrounding tree species richness had a stronger influence on the light–trait relationship. Most trait values responded to light availability, though this response differed between deciduous and evergreen species. We found that tree species richness and a tree's direct neighbor could modify the light–trait relationship at the individual level. In some instances, a focal tree's direct neighbor influenced its leaf trait values more than the tree species richness in its local neighborhood. Specifically, in conspecific tree pairs of evergreens, specific leaf area and leaf nitrogen displayed a stronger response to changing light conditions. This response to light availability suggests a mechanism for avoiding within-species competition that is observable at the within-individual level. Our results show that biodiversity influences ecosystem functions through its effects on within-individual leaf trait variation. The fact that the interplay between light availability, biodiversity, and leaf traits can be observed within-individual trees highlights the importance of within-individual leaf trait variation in biodiversity research.

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亚热带森林单株叶片性状对局部光效和生物多样性的响应
叶片性状是生态系统功能的重要指标。性状值在物种之间可以有很大的差异,在物种内部也有相当大的差异。然而,由于传统测量工具的局限性,个体内变异往往被忽视。许多叶片性状值响应光有效性,而光有效性又受周围植被的影响。此外,个体内部有很强的光梯度,特别是在树冠上。以中国生物多样性-生态系统功能(BEF-China)亚热带人工林为研究对象,在个体内分析了叶片性状值对光有效性和邻近树种丰富度的响应。从单一栽培到24种混合栽培,我们在不同多样性水平的相邻树木形成的垂直光梯度上进行采样。我们将叶片样本与基于传感器的光可用性测量紧密配对。利用可见光和近红外光谱(350 ~ 2500 nm)对15种本土树种4981片叶片的14个性状进行了预测。利用光谱学的一个关键特征——从一个样品的单一光谱测量中得出多个叶片性状——我们在叶片水平上同时评估了所有性状。我们研究了单株树的直接邻居或周围树种丰富度对光性状关系的影响更大。大多数性状值对光有效性有响应,但这种响应在落叶树种和常绿树种之间存在差异。在个体水平上,树种丰富度和树的直系邻居可以改变光性状关系。在某些情况下,焦点树的直接邻居对其叶片性状值的影响大于其当地邻居的树种丰富度。具体而言,在同株常绿乔木对中,比叶面积和叶片氮对光照条件变化的响应更强。这种对光可用性的反应表明,在个体水平上可以观察到一种避免种内竞争的机制。结果表明,生物多样性通过对个体内叶片性状变异的影响来影响生态系统功能。光效、生物多样性和叶片性状之间的相互作用可以在单株内观察到,这一事实凸显了单株内叶片性状变异在生物多样性研究中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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