{"title":"Unraveling the drivers of optimal stomatal behavior in global C<sub>3</sub> plants: A carbon isotope perspective.","authors":"Xianhui Tang, Chao Yue, Binbin Liu, Bo Liu, Jinyue Liu, Hongfei Zhao, Mengyang Xu, Wei Wen, Jingjing Yang, Junhao He, Xin Song","doi":"10.1016/j.scitotenv.2024.178208","DOIUrl":null,"url":null,"abstract":"<p><p>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 (g<sub>s</sub>) and photosynthesis (A), with its slope parameter (g<sub>1</sub>) 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 g<sub>1</sub>, the potential role of evolutionary history in shaping g<sub>1</sub> remains incompletely understood. Leaf organic matter <sup>13</sup>C discriminations (Δ<sup>13</sup>C) can be applied to estimate g<sub>1</sub> over timescales from days to whole growing season. However, most applications assume that mesophyll conductance (g<sub>m</sub>)-a critical parameter in the Δ<sup>13</sup>C model-is infinite, due to limited information. Here, we incorporated new insight of g<sub>m</sub> to allow for more realistic parameterization of this variable, and subsequently to enable improved estimation of g<sub>1</sub> based on a global bulk leaf Δ<sup>13</sup>C dataset comprising 2215 observations of 1521 species that span major biomes. Our analysis revealed a significant phylogenetic signal in g<sub>1</sub> values, which differed among phylogenetic groups. Through a Bayesian phylogenetic linear mixed model, we found that species and phylogeny together explained 36.63 % of g<sub>1</sub> 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 g<sub>1</sub> variability, thereby contributing to a more comprehensive understanding of optimal stomatal behavior in the context of global environmental change.</p>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"959 ","pages":"178208"},"PeriodicalIF":8.2000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.scitotenv.2024.178208","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
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.