Unraveling the drivers of optimal stomatal behavior in global C3 plants: A carbon isotope perspective.

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Science of the Total Environment Pub Date : 2025-01-10 Epub Date: 2024-12-31 DOI:10.1016/j.scitotenv.2024.178208
Xianhui Tang, Chao Yue, Binbin Liu, Bo Liu, Jinyue Liu, Hongfei Zhao, Mengyang Xu, Wei Wen, Jingjing Yang, Junhao He, Xin Song
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Abstract

Understanding the drivers of stomatal behavior is critical for modeling terrestrial carbon cycle and water balance. The unified stomatal optimization (USO) model provides a mechanistic linkage between stomatal conductance (gs) and photosynthesis (A), with its slope parameter (g1) inversely related to intrinsic water use efficiency (iWUE), providing a key proxy to characterize the differences in iWUE and stomatal behavior. While many studies have identified multiple environmental factors influencing g1, the potential role of evolutionary history in shaping g1 remains incompletely understood. Leaf organic matter 13C discriminations (Δ13C) can be applied to estimate g1 over timescales from days to whole growing season. However, most applications assume that mesophyll conductance (gm)-a critical parameter in the Δ13C model-is infinite, due to limited information. Here, we incorporated new insight of gm to allow for more realistic parameterization of this variable, and subsequently to enable improved estimation of g1 based on a global bulk leaf Δ13C dataset comprising 2215 observations of 1521 species that span major biomes. Our analysis revealed a significant phylogenetic signal in g1 values, which differed among phylogenetic groups. Through a Bayesian phylogenetic linear mixed model, we found that species and phylogeny together explained 36.63 % of g1 variance, a contribution comparable to that of the environmental factors (44.59 %). Our findings uncovered for the first time that environmental factors, species-level and phylogenetic effects jointly shape g1 variability, thereby contributing to a more comprehensive understanding of optimal stomatal behavior in the context of global environmental change.

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揭示全球C3植物最佳气孔行为的驱动因素:碳同位素视角。
了解气孔行为的驱动因素对于模拟陆地碳循环和水平衡至关重要。统一气孔优化(USO)模型提供了气孔导度(gs)与光合作用(a)之间的机制联系,其斜率参数(g1)与内在水分利用效率(iWUE)呈负相关,是表征内在水分利用效率与气孔行为差异的关键指标。虽然许多研究已经确定了影响g1的多种环境因素,但进化史在形成g1中的潜在作用仍未完全了解。叶片有机质13C判别(Δ13C)可用于估算从几天到整个生长季节的时间尺度上的g1。然而,由于信息有限,大多数应用都假设叶肉电导(gm)——Δ13C模型中的一个关键参数——是无限的。在这里,我们结合了gm的新见解,以允许更现实的参数化该变量,并随后基于全球大块叶片Δ13C数据集(包括1521个物种的2215个观测值,跨越主要生物群系)来改进g1的估计。我们的分析显示g1值具有显著的系统发育信号,在不同的系统发育组之间存在差异。通过贝叶斯系统发育线性混合模型,我们发现物种和系统发育共同解释了g1变异的36.63%,与环境因素的贡献(44.59%)相当。我们的发现首次揭示了环境因素、物种水平和系统发育效应共同影响g1变异性,从而有助于更全面地了解全球环境变化背景下的最佳气孔行为。
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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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