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Trait-dependent importance of intraspecific variation relative to species turnover in determining community functional composition following nutrient enrichment.

Authors :
Zhou, Xiaolong
Dong, Liuwen
Zhang, Yongjun
Li, Jingdong
Ren, Zhengwei
Niu, Kechang
Source :
Oecologia. May2024, Vol. 205 Issue 1, p107-119. 13p.
Publication Year :
2024

Abstract

Community weighted mean trait, i.e., functional composition, has been extensively used for upscaling of individual traits to the community functional attributes and ecosystem functioning in recent years. Yet, the importance of intraspecific trait variation relative to species turnover in determining changes in CWM still remains unclear, especially under nutrient enrichment scenarios. In this study, we conducted a global data synthesis analysis and three nutrient addition experiments in two sites of alpine grassland to reveal the extent to which species turnover and ITV contribute to shift in CWM in response to nutrient enrichment. The results consistently show that the importance of ITV relative to species turnover in regulating CWM in response to nutrient enrichment strongly depends on trait attributes rather than on environmental factors (fertilization type, climatic factors, soil properties, and light transmittance). For whole plant traits (height) and leaf morphological traits, species turnover is generally more important than ITV in determining CWM following most treatments of nutrient addition. However, for leaf nutrient traits, ITV outweighed species turnover in determining shifts in CWM in response to almost all treatments of nutrient addition, regardless of types and gradients of the nutrient addition. Thus, our study not only provides robust evidence for trait-dependent importance of ITV in mediating community functional composition, but also highlights the need to consider the nature of functional traits in linking ITV to community assembly and ecosystem functioning under global nutrient enrichment scenarios. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*SPECIES
*GRASSLANDS
*DATA analysis

Details

Language :
English
ISSN :
00298549
Volume :
205
Issue :
1
Database :
Academic Search Index
Journal :
Oecologia
Publication Type :
Academic Journal
Accession number :
177596222
Full Text :
https://doi.org/10.1007/s00442-024-05555-6