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Leaf Traits and Resource Use Efficiencies of 19 Woody Plant Species in a Plantation in Fangshan, Beijing, China.

Authors :
Zhong, Guowei
Tian, Yun
Liu, Peng
Jia, Xin
Zha, Tianshan
Source :
Forests (19994907); Jan2023, Vol. 14 Issue 1, p63, 18p
Publication Year :
2023

Abstract

Plantations are typically monocultures, which limits their sustainability. Therefore, understanding acclimatization strategies and resource use efficiencies in plant species and life forms aids the improvement of vegetation diversity and ecological functions. Here, 19 species from forest plantations in Fangshan, Beijing, China were studied. We determined their net photosynthetic (P<subscript>n</subscript>), and transpiration rates (E), light response curve, stomatal conductance (g<subscript>s</subscript>), and leaf nitrogen (N) content. We analyzed the leaf N content (N<subscript>mass</subscript>), specific leaf area (SLA), maximum net photosynthetic rate (P<subscript>nmax</subscript>), water use (WUE), nitrogen use (NUE), and carbon use (CUE) efficiencies and connected them with both species and life forms. P<subscript>nmax</subscript>, SLA, N<subscript>mass</subscript>, WUE, NUE, and CUE significantly differed among species. Evergreen conifers had the lowest SLA and N<subscript>mass</subscript> but the highest WUE and CUE. Evergreen coniferous trees had lower SLA, N<subscript>mass</subscript>, P<subscript>nmax</subscript>, and NUE but higher WUE than deciduous trees and shrubs. The SLA, N<subscript>mass</subscript>, and P<subscript>nmax</subscript> of nitrogen-fixing plants were the highest. A correlation analysis revealed that WUE was positively correlated with CUE and negatively correlated with NUE. Moreover, WUE was negatively correlated with N<subscript>mass</subscript> and SLA. These insights into the adaptability differences of woody plant species and life forms provide a scientific basis for the selection of appropriate species for sustainable forest plantations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19994907
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
Forests (19994907)
Publication Type :
Academic Journal
Accession number :
161478820
Full Text :
https://doi.org/10.3390/f14010063