Variations in the traits of fine roots of different orders and their associations with leaf traits in 12 co-occuring plant species in a semiarid inland dune

doi:10.1007/s11104-021-05208-0

	Variations in the traits of fine roots of different orders and their associations with leaf traits in 12 co-occuring plant species in a semiarid inland dune
	Yu, Wanying 1; Wang, Congwen 1,2; Huang, Zhenying1 ; Wang, Deli 3; Liu, Guofang 1
	2022
发表期刊	PLANT AND SOIL
ISSN	0032-079X
卷号	472 期号:1-2 页码:193-206
摘要	Aim Variations in plant traits are closely linked to the functional trade-off between resource acquisition and conservation. However, there has been little research on interspecific variations in the traits of fine roots with different orders and their associations with leaf traits in semiarid inland dunes. Methods We examined the first four root orders and leaves of 12 species (seven herbs and five shrubs), representing a broad range of taxa, co-occurring in a semiarid inland dune and evaluated their root biomass ratio and nine key morphological and chemical traits. Results We observed substantial variations in root traits among species and among root orders within species. The root economics spectrum (RES) spanned across the first three orders, representing a resource acquisition and conservation strategy in which specific root length, specific root area and root N concentration decreased and root diameter increased with root order. Most of the fine root and leaf traits were primarily loaded on the first and second axes of the principal component analysis. Herbs and shrubs presented resource acquisitive and conservative strategies, respectively, due to their contrasting leaf and fine root traits. Phylogenetic conservatism was stronger in roots than in leaves. Conclusions The leading RES in the fine roots of different orders existed in the semiarid inland dune, emphasizing the importance of interspecific and intraspecific variations in the traits of fine roots of different orders in understanding root structure, function and their coordination. Partial trait integration across leaves and fine roots implies limited support to the plant economics spectrum.
关键词	Fine roots Leaves Plant economics spectrum Root economics spectrum Root order Growth form Inland dune
学科领域	Agronomy ; Plant Sciences ; Soil Science
DOI	10.1007/s11104-021-05208-0
收录类别	SCI
语种	英语
WOS关键词	ECONOMICS SPECTRUM ; BRANCH ORDERS ; SOIL ; ARCHITECTURE ; MORPHOLOGY ; PATTERNS ; DRIVERS ; RESPOND ; CLIMATE ; BIOMASS
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000749088300001
出版者	SPRINGER
文献子类	Article
出版地	DORDRECHT
EISSN	1573-5036
资助机构	National Key Research and Development Program of China [2018YFE0182800, 2016YFC0500501]
作者邮箱	wangd@nenu.edu.cn ; liugf@ibcas.ac.cn
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28535
专题	植被与环境变化国家重点实验室
作者单位	1.Northeast Normal Univ, Inst Grassland Sci, Key Lab Vegetat Ecol, Minist Educ, Changchun 130024, Jilin, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Northeast Normal Univ, Sch Environm, Changchun 130117, Jilin, Peoples R China
推荐引用方式 GB/T 7714	Yu, Wanying,Wang, Congwen,Huang, Zhenying,et al. Variations in the traits of fine roots of different orders and their associations with leaf traits in 12 co-occuring plant species in a semiarid inland dune[J]. PLANT AND SOIL,2022,472(1-2):193-206.
APA	Yu, Wanying,Wang, Congwen,Huang, Zhenying,Wang, Deli,&Liu, Guofang.(2022).Variations in the traits of fine roots of different orders and their associations with leaf traits in 12 co-occuring plant species in a semiarid inland dune.PLANT AND SOIL,472(1-2),193-206.
MLA	Yu, Wanying,et al."Variations in the traits of fine roots of different orders and their associations with leaf traits in 12 co-occuring plant species in a semiarid inland dune".PLANT AND SOIL 472.1-2(2022):193-206.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Yu-2022-Variations i（889KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文