This dataset was collected by comparing how precipitation changes on natural and experimental gradients affect the different components of functional diversity in desert shrub and grassland grass communities. Calculate the trait data of CWM by multiplying the trait values of each species by their relative biomass in the community. FDvar is calculated based on the changes in single sex values weighted by the abundance of various species in a plant community. Calculate the functional richness (FRic) and dispersion (FDis) of six individual traits through logarithmic transformation values. Calculate the functional diversity index of CWM, FDvar, FRic, and FDis using FDiversity and R packages.

    Use simple linear regression to explore the relationship between functional diversity components and precipitation changes on natural gradients. In the experiment, a linear mixed model containing random effects was used to examine the correlation between functional diversity components and precipitation changes. Grass and shrub communities were analyzed along natural gradients or separately in experiments. For natural slopes, precipitation is the annual average of meteorological stations near each well site from 2000 to 2017. For the experimental gradient, precipitation is calculated based on the percentage increase or decrease of the annual average precipitation in the region from 2015 to 2017.