Functional trait outperforms plant diversity in governing biomass production and allocation in semi-arid grasslands undergoing grazing exclusion
文献类型： 外文期刊
作者： An, Yu 1 ; Zhang, Yuqi 2 ; Liu, Jian 2 ; Wang, Zhongnan 2 ; Gao, Yang 2 ; Ma, Hongyuan 1 ; Tong, Shouzheng 1 ;
作者机构： 1.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China
2.Jilin Acad Agr Sci, Northeast Agr Res Ctr China, Changchun 130033, Peoples R China
关键词： Functional diversity; Grassland restoration; Trait trade-off; Root - to - shoot ratio
期刊名称：AGRICULTURE ECOSYSTEMS & ENVIRONMENT （ 影响因子：6.4； 五年影响因子：6.8 ）
ISSN： 0167-8809
年卷期： 2025 年 393 卷
页码：
收录情况： SCI
摘要： Grazing exclusion is a key strategy for restoring degraded grasslands and enhancing their ecosystem services. Plant biomass production and allocation are critical indicators of restoration success, yet the mechanistic pathways by which plant functional traits and diversity regulate these dynamics under grazing exclusion remain unresolved. To address this, we measured aboveground (AGB) and belowground biomass (BGB) and root-to-shoot ratio (RSR) across a 27-year chronosequence in semi-arid grasslands of Songnen Plain, Northeast China, and investigated how plant functional traits and diversity (species and functional) regulate these processes. Results revealed temporally decoupled biomass peaks, with AGB peaking at 19 years (491.14 g m-2) and BGB peaking earlier at 15 years (1046.50 g m-2). Concurrently, RSR declined initially before stabilizing after 19 years, and plant diversity generally exhibited an opposite trend to biomass production. Principal component analysis identified key plant functional strategies under grazing exclusion, with PC1 partitioning resource-acquisitive traits (e.g., leaf area, LA) from conservative traits (e.g., leaf nitrogen content, LNC) and PC2 representing a defense axis dominated by traits such as leaf dry matter content (LDMC). Critically, correlation and variation partitioning analyses demonstrated that functional traits, rather than diversity, emerged as the dominant driver of biomass production and allocation Structural equation modeling further revealed that grazing exclusion directly impacted AGB and allocation, and indirectly regulated them via species richness. Notably, grazing exclusion modulated biomasses dynamics by altering functional traits (LA and LDMC) and LA-LNC trade-off. Additionally, LDMC-induced shifts in functional diversity (Rao's Q) contributed to biomass allocation adjustments. Our findings establish that biomass dynamics under grazing exclusion exhibit strong temporal patterns primarily driven by plant functional traits, delineating key mechanistic pathways. This framework provides a robust basis for assessing restoration success and strategically guides optimal management of semi-arid grasslands.
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