干旱区生态环境知识资源中心(Arid): Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient

Arid

DOI	10.3390/biology10101066
	Quantifying Leaf Trait Covariations and Their Relationships with Plant Adaptation Strategies along an Aridity Gradient
	Yang, Yanzheng; Kang, Le; Zhao, Jun; Qi, Ning; Li, Ruonan; Wen, Zhongming; Kassout, Jalal; Peng, Changhui; Lin, Guanghui; Zheng, Hua
通讯作者	Zheng, H (corresponding author), Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China. ; Zheng, H (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
来源期刊	BIOLOGY-BASEL
EISSN	2079-7737
出版年	2021
卷号	10 期号:10
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.
英文关键词	plant adaptation strategy plant functional traits trait covariation multivariate analysis aridity gradient
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000714765100001
WOS关键词	FUNCTIONAL TRAITS ; ECOLOGICAL RESTORATION ; PHENOTYPIC PLASTICITY ; CONSTRUCTION COSTS ; LOESS PLATEAU ; CLIMATE ; ECONOMICS ; DROUGHT ; TREE ; SOIL
WOS类目	Biology
WOS研究方向	Life Sciences & Biomedicine - Other Topics
来源机构	西北农林科技大学 ; 北京林业大学 ; 清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368341
作者单位	[Yang, Yanzheng; Li, Ruonan; Zheng, Hua] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China; [Yang, Yanzheng; Lin, Guanghui] Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; [Kang, Le] State Adm Forestry & Grassland, East China Inventory & Planning Inst, Hangzhou 310019, Peoples R China; [Zhao, Jun] China Aero Geophys Survey, Beijing 100083, Peoples R China; [Zhao, Jun] Remote Sensing Ctr Nat Resources, Beijing 100083, Peoples R China; [Qi, Ning] Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China; [Wen, Zhongming] Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China; [Kassout, Jalal] Abdelmalek Essaadi Univ, Fac Sci, Lab Appl Bot, BioAgrodivers Team, Tetouan 93002, Morocco; [Peng, Changhui] Univ Quebec Montreal, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada; [Zheng, Hua] Univ Chine...
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]. 西北农林科技大学, 北京林业大学, 清华大学,2021,10(10).
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).
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).