Plant functional traits affect biomass responses to global change: A meta‐analysis

情感(语言学) 生物量(生态学) 生物 生态学 心理学 沟通
作者
Mingyan Hu,Han Y. H. Chen,Scott X. Chang,Sebastian Leuzinger,Jeffrey S. Dukes,J. Adam Langley,Martin Karl‐Friedrich Bader,Kevin Van Sundert,Huixuan Liao,Zilong Ma
出处
期刊:Journal of Ecology [Wiley]
被引量:1
标识
DOI:10.1111/1365-2745.70076
摘要

Abstract Whether and how the responses of above‐ (AGB) and below‐ground biomass (BGB) and above‐ground net primary production (ANPP) to global changes are linked to plant functional traits is unclear. We conducted a global meta‐analysis based on 2561 observations from 318 manipulative studies (primarily forest, grassland and cropland monocultures) to examine the effect of plant functional traits (i.e. morphological and chemical traits, mycorrhizal association type and symbiotic nitrogen (N) fixation) of dominant species on the responses of plant biomass production to global change drivers, that is, elevated CO 2 (eCO 2 ), elevated nutrient (eNutrient), elevated water (eWater), warming and drought. Across all terrestrial ecosystems studied, eCO 2 , eNutrient and eWater increased, while drought reduced biomass production. Warming had no overall effect on any of the biomass production metrics. Importantly, the positive effects of eNutrient on BGB were more pronounced for communities dominated by ‘fast’ species (with high specific leaf area and leaf N content). Plant communities dominated by plants with low resource uptake rates by roots exhibited stronger effects of eCO 2 on ANPP and weaker effects of eNutrient on AGB, BGB and ANPP. In communities dominated by arbuscular mycorrhizal fungi‐associated plants, eNutrient increased AGB and ANPP, and drought reduced AGB. In contrast, eNutrient and drought increased BGB in communities dominated by ectomycorrhizal fungi‐associated plants. eCO 2 increased ANPP in communities dominated by non‐N‐fixing species but not in communities dominated by N‐fixing species. Synthesis . Accounting for functional traits of dominant plants improves the predictability of ecosystem responses to global change, and can guide ecological management practices to safeguard key ecosystem functions in a rapidly changing world.
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