中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient

文献类型：期刊论文

作者Yang, Yanzheng2,3; Kang, Le4; Zhao, Jun1,5; Qi, Ning6; Li, Ruonan2; Wen, Zhongming7; Kassout, Jalal8; Peng, Changhui9; Lin, Guanghui3; Zheng, Hua2,10
刊名BIOLOGY-BASEL
出版日期2021-10-01
卷号10期号:10页码:16
关键词plant adaptation strategy plant functional traits trait covariation multivariate analysis aridity gradient
DOI10.3390/biology10101066
通讯作者Zheng, Hua(zhenghua@rcees.ac.cn)
英文摘要Simple Summary

Plants usually adopt different strategies to adapt to their surrounding environments. Accurately quantifying plant strategies is of great interest in trait-based ecology, in particular to understand the responses of ecological structures and processes. In the last two decades, these strategies have been described qualitatively; however, the use of quantitative methods is still lacking. In this study, we used a plant functional trait approach to discuss plant strategies along an aridity gradient. We found that eight functional traits divided into four dimensions represent four adaptation strategies: energy balance, resource acquisition, resource investment and water use efficiency. We also concluded that climate and soil together with family (vegetation succession) were the main driving forces of trait covariations. Our study provided a new perspective to understand plant functional responses to aridity gradients, which is helpful for ecological management and vegetation restoration programs in arid regions.

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 (N-area), leaf nitrogen per mass (N-mass) 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.

WOS关键词FUNCTIONAL TRAITS ; ECOLOGICAL RESTORATION ; PHENOTYPIC PLASTICITY ; CONSTRUCTION COSTS ; LOESS PLATEAU ; CLIMATE ; ECONOMICS ; DROUGHT ; TREE ; SOIL
资助项目National Natural Science Foundation of China[41925005] ; National Natural Science Foundation of China[41701051] ; National Natural Science Foundation of China[41801181]
WOS研究方向Life Sciences & Biomedicine - Other Topics
语种英语
出版者MDPI
WOS记录号WOS:000714765100001
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/167393]  
专题中国科学院地理科学与资源研究所
通讯作者Zheng, Hua
作者单位1.China Aero Geophys Survey, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
3.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
4.State Adm Forestry & Grassland, East China Inventory & Planning Inst, Hangzhou 310019, Peoples R China
5.Remote Sensing Ctr Nat Resources, Beijing 100083, Peoples R China
6.Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China
7.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
8.Abdelmalek Essaadi Univ, Fac Sci, Lab Appl Bot, BioAgrodivers Team, Tetouan 93002, Morocco
9.Univ Quebec Montreal, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada
10.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Yanzheng,Kang, Le,Zhao, Jun,et al. Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient[J]. BIOLOGY-BASEL,2021,10(10):16.
APA Yang, Yanzheng.,Kang, Le.,Zhao, Jun.,Qi, Ning.,Li, Ruonan.,...&Zheng, Hua.(2021).Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient.BIOLOGY-BASEL,10(10),16.
MLA Yang, Yanzheng,et al."Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient".BIOLOGY-BASEL 10.10(2021):16.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。