jvs1442-sup-0001-TablesS1-S3.pdfapplication/PDF24KTable S1. Species-specific regression equations between AGB (y) and vegetation volume (x, the product of plant height and coverage) based on the observed data from 21 unfenced sub-quadrats (0.5 m × 0.5 m) along the transect. Species abbreviations are found in Table 1. Table S2. Coefficients of determination (r2) and AIC values of the regression models between biomass/species richness and several environmental factors. Biomass included total (T) and sedges (S) aboveground biomass (AGB) and total belowground biomass (BGB) of fenced (F) and unfenced (U) treatments. Environmental factors included altitude (ALT), growing season precipitation (GSP), growing season mean air and soil temperature (GSAT, GSST), soil total nitrogen (STN) and the ratio of GSP to accumulated temperature (G/A). Regression models included exponential (Exp), logistic (Lgt), linear (Lin), logarithmic (Log), power (Pow) and quadratic (Qua) models. Table S3. Correlation matrix of environmental variables along the altitudinal gradient. Environmental variables included precipitations (P) for growing season (GS), May and July, mean air temperatures (AT) for GS,May and July, mean soil temperatures (ST) for GS, May and July, accumulated temperature sum above 5 °C (AccT), soil total nitrogen (STN) of fenced (F) and unfenced (U) quadrats and altitude (ALT).

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