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Li X, Chen X, Li J, Wu P, Hu D, Zhong Q, Cheng D. Respiration in light of evergreen and deciduous woody species and its links to the leaf economic spectrum. Tree Physiol 2024; 44:tpad129. [PMID: 37847610 DOI: 10.1093/treephys/tpad129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023]
Abstract
Leaf respiration in the light (Rlight) is crucial for understanding the net CO2 exchange of individual plants and entire ecosystems. However, Rlight is poorly quantified and rarely discussed in the context of the leaf economic spectrum (LES), especially among woody species differing in plant functional types (PFTs) (e.g., evergreen vs. deciduous species). To address this gap in our knowledge, Rlight, respiration in the dark (Rdark), light-saturated photosynthetic rates (Asat), leaf dry mass per unit area (LMA), leaf nitrogen (N) and phosphorus (P) concentrations, and maximum carboxylation (Vcmax) and electron transport rates (Jmax) of 54 representative subtropical woody evergreen and deciduous species were measured. With the exception of LMA, the parameters quantified in this study were significantly higher in deciduous species than in evergreen species. The degree of light inhibition did not significantly differ between evergreen (52%) and deciduous (50%) species. Rlight was significantly correlated with LES traits such as Asat, Rdark, LMA, N and P. The Rlight vs. Rdark and N relationships shared common slopes between evergreen and deciduous species, but significantly differed in their y-intercepts, in which the rates of Rlight were slower or faster for any given Rdark or N in deciduous species, respectively. A model for Rlight based on three traits (i.e., Rdark, LMA and P) had an explanatory power of 84.9%. These results show that there is a link between Rlight and the LES, and highlight that PFTs is an important factor in affecting Rlight and the relationships of Rlight with Rdark and N. Thus, this study provides information that can improve the next generation of terrestrial biosphere models (TBMs).
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Affiliation(s)
- Xueqin Li
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Xiaoping Chen
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
- Fujian Provincial Key Laboratory of Plant Ecophysiology, Fujian Normal University, No. 8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Jinlong Li
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Panpan Wu
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Dandan Hu
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Quanlin Zhong
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Dongliang Cheng
- Institute of Geography, Fujian Normal University, No.8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
- Fujian Provincial Key Laboratory of Plant Ecophysiology, Fujian Normal University, No. 8 Shangsan Road, Cangshan District, Fuzhou, Fujian 350007, China
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