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Leaf and twig traits predict habitat adaptation and demographic strategies in tropical freshwater swamp forest trees.

Authors :
Lam, Weng Ngai
Huang, Jie
Tay, Amanda Hui Ting
Sim, Hong Jhun
Chan, Pin Jia
Lim, Kiah Eng
Lei, Mingfeng
Aritsara, Amy Ny Aina
Chong, Rie
Ting, Ying Ying
Rahman, Nur Estya Binte
Sloey, Taylor M.
Van Breugel, Michiel
Cao, Kun‐Fang
Wee, Alison Kim Shan
Chong, Kwek Yan
Source :
New Phytologist. Jun2024, p1. 13p. 5 Illustrations, 1 Chart.
Publication Year :
2024

Abstract

Summary Differences in demographic and environmental niches facilitate plant species coexistence in tropical forests. However, the adaptations that enable species to achieve higher demographic rates (e.g. growth or survival) or occupy unique environmental niches (e.g. waterlogged conditions) remain poorly understood. Anatomical traits may better predict plant environmental and demographic strategies because they are direct measurements of structures involved in these adaptations. We collected 18 leaf and twig traits from 29 tree species in a tropical freshwater swamp forest in Singapore. We estimated demographic parameters of the 29 species from growth and survival models, and degree of association toward swamp habitats. We examined pairwise trait–trait, trait–demography and trait–environment links while controlling for phylogeny. Leaf and twig anatomical traits were better predictors of all demographic parameters than other commonly measured leaf and wood traits. Plants with wider vessels had faster growth rates but lower survival rates. Leaf and spongy mesophyll thickness predicted swamp association. These findings demonstrate the utility of anatomical traits as indicators of plant hydraulic strategies and their links to growth–mortality trade‐offs and waterlogging stress tolerance that underlie species coexistence mechanisms in tropical forest trees. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0028646X
Database :
Academic Search Index
Journal :
New Phytologist
Publication Type :
Academic Journal
Accession number :
177671607
Full Text :
https://doi.org/10.1111/nph.19876