scholarly journals Structural defence is coupled with the leaf economic spectrum across saplings of spiny species

Oikos ◽  
2020 ◽  
Vol 129 (5) ◽  
pp. 740-752
Author(s):  
Mohammed Armani ◽  
Uromi M. Goodale ◽  
Tristan Charles‐Dominique ◽  
Kasey E. Barton ◽  
Xin Yao ◽  
...  
2014 ◽  
Vol 102 (2) ◽  
pp. 328-336 ◽  
Author(s):  
Erika J. Edwards ◽  
David S. Chatelet ◽  
Lawren Sack ◽  
Michael J. Donoghue

Biology ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1066
Author(s):  
Yanzheng Yang ◽  
Le Kang ◽  
Jun Zhao ◽  
Ning Qi ◽  
Ruonan Li ◽  
...  

A trait-based approach is an effective way to quantify plant adaptation strategies in response to changing environments. Single trait variations have been well depicted before; however, multi-trait covariations and their roles in shaping plant adaptation strategies along aridity gradients remain unclear. The purpose of this study was to reveal multi-trait covariation characteristics, their controls and their relevance to plant adaptation strategies. Using eight relevant plant functional traits and multivariate statistical approaches, we found the following: (1) the eight studied traits show evident covariation characteristics and could be grouped into four functional dimensions linked to plant strategies, namely energy balance, resource acquisition, resource investment and water use efficiency; (2) leaf area (LA) together with traits related to the leaf economic spectrum, including leaf nitrogen content per area (Narea), leaf nitrogen per mass (Nmass) and leaf dry mass per area (LMA), covaried along the aridity gradient (represented by the moisture index, MI) and dominated the trait–environmental change axis; (3) together, climate, soil and family can explain 50.4% of trait covariations; thus, vegetation succession along the aridity gradient cannot be neglected in trait covariations. Our findings provide novel perspectives toward a better understanding of plant adaptations to arid conditions and serve as a reference for vegetation restoration and management programs in arid regions.


2021 ◽  
Vol 48 (2) ◽  
pp. 231
Author(s):  
Yu-Mei Yan ◽  
Ze-Xin Fan ◽  
Pei-Li Fu ◽  
Hui Chen ◽  
Lu-Xiang Lin

Many studies focus on the relationships between plant functional traits and tree growth performances. However, little is known about the ontogenetic shifts of the relationships between functional traits and tree growth. This study examined associations between stem and leaf functional traits and growth rates and their ontogenetic shifts across 20 tropical tree species in a tropical seasonal rainforest in Xishuangbanna, south-west China. For each species, physiological active branches of individual trees belonged to three size classes (i.e. small, diameter at breast height (DBH) 5–10 cm; middle, DBH 10–20 cm; big, DBH >20 cm) were sampled respectively. We measured 18 morphological and structural traits, which characterised plant hydraulic properties or leaf economic spectrum. Associations between diameter growth rates and functional traits were analysed across three size classes. Our results revealed that diameter growth rates of big-sized trees were mainly related to traits related to plant hydraulic efficiency (i.e. theoretical hydraulic conductivity (Ktheo) and leaf vein density (Dvein)), which suggests that the growth of large trees is limited mainly by their xylem water transport capacity. For middle-sized trees, growth rates were significantly related to traits representing leaf economic spectrum (i.e. specific leaf area (SLA), individual leaf mass (ILM), palisade thickness (PT) and spongy thickness (SP)). Diameter growth rates of small-sized trees were not correlated with hydraulic or leaf economic traits. Thus, the associations between tree growth rates and functional traits are size dependent. Our results suggest ontogenetic shift of functional traits which could potential contribute to different growth response to climate change.


2013 ◽  
Vol 64 (13) ◽  
pp. 4053-4080 ◽  
Author(s):  
Lawren Sack ◽  
Christine Scoffoni ◽  
Grace P. John ◽  
Hendrik Poorter ◽  
Chase M. Mason ◽  
...  

Ecography ◽  
2016 ◽  
Vol 40 (6) ◽  
pp. 685-697 ◽  
Author(s):  
Julie Messier ◽  
Brian J. McGill ◽  
Brian J. Enquist ◽  
Martin J. Lechowicz

2013 ◽  
Vol 201 (2) ◽  
pp. 378-382 ◽  
Author(s):  
Hendrik Poorter ◽  
Hans Lambers ◽  
John R. Evans

2018 ◽  
Vol 435 (1-2) ◽  
pp. 353-366 ◽  
Author(s):  
Enrique G. de la Riva ◽  
Iván Prieto ◽  
Rafael Villar

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Alexey N. Shiklomanov ◽  
Elizabeth M. Cowdery ◽  
Michael Bahn ◽  
Chaeho Byun ◽  
Steven Jansen ◽  
...  

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