Journal: Nature Communications

Article Title: Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association

doi: 10.1038/s41467-022-32671-9

Figure Lengend Snippet: a Correlations between mean annual precipitation (MAP, mm) and the response of root:shoot ratio [ RR (R/S)]. b Correlations between MAP and RR (R/S) in biomes with dominant root symbiosis of arbuscular mycorrhizal and ectomycorrhizal fungi (AMF and EMF), respectively. The size of the data points indicates relative weights in each plot. The points above the line of RR ( R/S ) = 0 indicate that warming enhanced root biomass accumulation relative to shoot biomass (i.e., RR ( R/S ) > 0), and vice versa. The error bands in panels a , b represent the upper and lower 95% confidence intervals. The p -values were calculated from two-tailed tests.

Article Snippet: The observations (e.g., TB, AGB, BGB, or R/S, WUE, SIN, soil NH + , soil NO − , MB, and/or MB C/N) in both control and warming groups were extracted using software GetData (version 2.22) as well as treatment and environmental information [e.g., warming duration (DUR) and magnitude (WM), latitude (LAT), mean annual precipitation (MAP) and temperature (MAT)].

Techniques: Two Tailed Test

Journal: Nature Communications

Article Title: Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association

doi: 10.1038/s41467-022-32671-9

Figure Lengend Snippet: Model-averaged importance of various predictor variables for warming effects on root:shoot ratio [i.e., RR (R/S)]. b The proportion of total variance of RR (R/S) is explained by biomes, plant community composition, and mycorrhizal fungi type (MFT). The variables with an importance value >0.8 were considered as essential predictors. The importance value of a predictor is based on the sum of Akaike weights derived from the model selection using corrected Akaike’s information criteria. MFT mycorrhizal fungi type, PFT plant functional type, MAP mean annual precipitation, MAT mean annual temperature, LAT latitude, CLAY the proportion of clay in soils, BD bulk density, SOC soil organic carbon, WM warming magnitude, DUR warming duration ( a ). The CLAY, BD, and SOC were from the topsoil at 0–30 cm soil depth, the detailed information of these predictors is provided in Supplementary Table . Biomes include forest, grassland, cropland, tundra and wetland; Monocultures and mixed refer to plant communities with single plant species and multiple plant species, respectively. AMF, EMF, and AM-EMF indicated the biomes with dominant root symbiosis of arbuscular mycorrhizal (AMF), ectomycorrhizal fungi (EMF), mixed AMF, and EMF (AM-EMF), respectively ( b ).

Article Snippet: The observations (e.g., TB, AGB, BGB, or R/S, WUE, SIN, soil NH + , soil NO − , MB, and/or MB C/N) in both control and warming groups were extracted using software GetData (version 2.22) as well as treatment and environmental information [e.g., warming duration (DUR) and magnitude (WM), latitude (LAT), mean annual precipitation (MAP) and temperature (MAT)].

Techniques: Derivative Assay, Selection, Functional Assay

Journal: Nature Communications

Article Title: Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association

doi: 10.1038/s41467-022-32671-9

Figure Lengend Snippet: PFT S plant functional types (i.e., herbs or woody plants), MFT S dominant mycorrhizal fungi types of root symbiosis (i.e., AMF arbuscular mycorrhizal fungi, EMF ectomycorrhizal fungi, or AM-EMF mixed AMF and EMF), MAT mean annual precipitation, MAP mean annual precipitation, RR (R/S) response of root:shoot ratio. The solid and dashed lines indicate the significant ( p -value < 0.05) and non-significant effects ( p -value > 0.05), respectively, whereas the red and blue solid arrows indicate positive and negative effects ( p -value < 0.05), respectively. We assigned ‘0’ and ‘1’ for herbs and woody plants, and assigned ‘0’, ‘0.5’, ‘1’ for AMF, AM-EMF, and EMF, respectively, in this analysis (Supplementary Data ). Symbols *, **, *** indicate statistical significance with p -value < 0.05, <0.01, and <0.001, respectively, based on two-tailed tests. In Chi-square test for the path model, the P -value was calculated from one-tailed test.

Article Snippet: The observations (e.g., TB, AGB, BGB, or R/S, WUE, SIN, soil NH + , soil NO − , MB, and/or MB C/N) in both control and warming groups were extracted using software GetData (version 2.22) as well as treatment and environmental information [e.g., warming duration (DUR) and magnitude (WM), latitude (LAT), mean annual precipitation (MAP) and temperature (MAT)].

Techniques: Functional Assay, Two Tailed Test, One-tailed Test

Journal: Nature Communications

Article Title: Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association

doi: 10.1038/s41467-022-32671-9

Figure Lengend Snippet: a Biomes with low mean annual precipitation (MAP) irrespective of mycorrhizal association. b Biomes with high MAP and arbuscular mycorrhizal (AMF) or ectomycorrhizal fungi (EMF). TB plant total biomass, AGB aboveground biomass, BGB belowground biomass, MB microbial biomass, MB C/N microbial biomass C N ratio, SIN soil inorganic nitrogen, WUE water use efficiency (Supplementary Data , Supplementary Figs. and ). The up- and downward arrows indicate significant increment and decrement of a response variable ( p -value < 0.05), whereas “ns” indicates non-significant changes under warmed conditions. “~” corresponds to no change, and “?” indicates not known.

Article Snippet: The observations (e.g., TB, AGB, BGB, or R/S, WUE, SIN, soil NH + , soil NO − , MB, and/or MB C/N) in both control and warming groups were extracted using software GetData (version 2.22) as well as treatment and environmental information [e.g., warming duration (DUR) and magnitude (WM), latitude (LAT), mean annual precipitation (MAP) and temperature (MAT)].

Techniques: