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A global meta-analysis of the effects of plant diversity on biomass partitioning in grasslands

Bibliographic Data

ID15549003
AuthorsChao Wang (0000-0002-4737-0717, Beijing Academy of Agricultural and Forestry Sciences, corresponding author), Weiwei Zhang (0000-0002-2743-2298, Beijing Academy of Agricultural and Forestry Sciences), Xiaona Li (0000-0001-6713-2997, Beijing Academy of Agricultural and Forestry Sciences), Yanhui Hou (0000-0002-9857-0604, Beijing Academy of Agricultural and Forestry Sciences), Juying Wu (Beijing Academy of Agricultural and Forestry Sciences, corresponding author)
Year2021
Volume16
Issue6
Pages064083-064083
Publication date2021-06-01
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ac0747
OpenAlexW3172716363
LanguageEN
References cited49

The partitioning of belowground biomass (BGB) to aboveground biomass (AGB) is commonly described as the root-to-shoot ratio (R/S). Although a number of studies have shown that biodiversity can influence AGB and BGB in grasslands at the local and global scale, the global-scale patterns reflecting how plant diversity affects R/S and the factors controlling such effects remain unclear. In this study, we explored the global patterns and associated drivers of biomass partitioning responding to plant diversity by conducting a meta-analysis of 333 observations from 30 studies in grasslands worldwide. Overall, plant diversity significantly increased AGB, BGB, and total biomass, whereas significantly decreased R/S. The effects of plant diversity on biomass partitioning varied with experimental types. The effect size for AGB and BGB in the field was larger than in greenhouse experiments, but the effect size for R/S did not significantly differ between field and greenhouse experiments. Moreover, there was no significant relationship between R/S and species richness and experimental duration in greenhouse experiments. However, the effect size for AGB, BGB, and R/S increased logarithmically with species richness and experimental duration in the field experiments. Specifically, the effect size for R/S in the field experiments switched from negative to neutral as the species richness and experimental duration increased. Furthermore, the effect size for R/S was positively correlated with complementary effects of BGB, and it increased logarithmically with mean annual temperature (MAT) and precipitation. Structural equation models showed that species richness, experimental duration, and MAT impact R/S indirectly by changing the BGB. Overall, our findings suggest that plant mixtures invest less in BGB than monocultures, and highlight that low investment in BGB will disappear gradually over time as species richness increases

Agronomy · Atmospheric sciences · Biodiversity · Biology · Biomass (ecology · Biomass partitioning · Field experiment · Geography · Meteorology · Physics · Precipitation · Species richness · Ecology and Vegetation Dynamics Studies · Environmental Science · Pasture and Agricultural Systems · Plant Water Relations and Carbon Dynamics · Ecology

  • Critical analysis of root

    Open Access•KAREL MOKANY, R JOHN RAISON et al.•Global Change Biology•2006

  • Meta-analysis and the science of research synthesis

    Open Access•Jessica Gurevitch, Julia Koricheva et al.•Nature•2018

  • Biodiversity and ecosystem productivity in a fluctuating environment

    Open Access•Shigeo Yachi, Michel Loreau•Proceedings of the National…•1999

  • The Meta-Analysis of Response Ratios in Experimental Ecology

    Open Access•Larry V Hedges, Jessica Gurevitch et al.•Ecology•1999

  • Negative impacts of plant diversity loss on carbon sequestration exacerbate over time in grasslands

    Open Access•Chao Wang, Yujia Tang et al.•Environmental Research Letters•2020

  • Negative to positive shifts in diversity effects on soil nitrogen over time

    Open Access•Xinli Chen, Han Y H Chen et al.•Nature Sustainability•2020

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