Articles | Volume 20, issue 22
https://doi.org/10.5194/bg-20-4511-2023
https://doi.org/10.5194/bg-20-4511-2023
Research article
 | 
17 Nov 2023
Research article |  | 17 Nov 2023

Leaf carbon and nitrogen stoichiometric variation along environmental gradients

Huiying Xu, Han Wang, Iain Colin Prentice, and Sandy P. Harrison

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Cited articles

Ackerly, D. D. and Cornwell, W. K.: A trait-based approach to community assembly: partitioning of species trait values into within- and among-community components, Ecol. Lett., 10, 135–145, https://doi.org/10.1111/j.1461-0248.2006.01006.x, 2007. 
Ahrens, C. W., Rymer, P. D., and Tissue, D. T.: Intra-specific trait variation remains hidden in the environment, New Phytol., 229, 1183–1185, https://doi.org/10.1111/nph.16959, 2021. 
Anderegg, L. D. L.: Why can't we predict traits from the environment?, New Phytol., 237, 1998–2004, https://doi.org/10.1111/nph.18586, 2023. 
Bartlett, M. K., Zhang, Y., Kreidler, N., Sun, S., Ardy, R., Cao, K., and Sack, L.: Global analysis of plasticity in turgor loss point, a key drought tolerance trait, Ecol. Lett., 17, 1580–1590, https://doi.org/10.1111/ele.12374, 2014. 
Bernacchi, C. J., Singsaas, E. L., Pimentel, C., Portis Jr., A. R., and Long, S. P.: Improved temperature response functions for models of Rubisco-limited photosynthesis, Plant Cell Environ., 24, 253–259, 2001. 
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Short summary
Leaf carbon (C) and nitrogen (N) are crucial elements in leaf construction and physiological processes. This study reconciled the roles of phylogeny, species identity, and climate in stoichiometric traits at individual and community levels. The variations in community-level leaf N and C : N ratio were captured by optimality-based models using climate data. Our results provide an approach to improve the representation of leaf stoichiometry in vegetation models to better couple N with C cycling.
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