Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient
Type de ressource
Auteurs/contributeurs
- Yang, Yanzheng (Auteur)
- Kang, Le (Auteur)
- Zhao, Jun (Auteur)
- Qi, Ning (Auteur)
- Li, Ruonan (Auteur)
- Wen, Zhongming (Auteur)
- Kassout, Jalal (Auteur)
- Peng, Changhui (Auteur)
- Lin, Guanghui (Auteur)
- Zheng, Hua (Auteur)
Titre
Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient
Résumé
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.
Publication
Biology
Volume
10
Numéro
10
Pages
1066
Date
2021-10-19
Abrév. de revue
Biology
Langue
en
ISSN
2079-7737
Consulté le
12/11/2024 19:29
Catalogue de bibl.
DOI.org (Crossref)
Autorisations
Référence
Yang, Y., Kang, L., Zhao, J., Qi, N., Li, R., Wen, Z., Kassout, J., Peng, C., Lin, G., & Zheng, H. (2021). Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient. Biology, 10(10), 1066. https://doi.org/10.3390/biology10101066
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