<b>Complementarity</b><b> enhance the positive effect of </b><b>biodiversity</b><b> on </b><b>productivity under </b><b>decreased precipitation</b>

<b>1. data of biomass.xlsx</b><b>This file contains biomass data for different years, treatments and richness. The specific fields include:</b><b>year: Year</b><b>treatment: Treatment (CK, DP, IP)</b><b>Richness: Species richness</b><b>AGB±SD: Aboveground biomass and its standard deviation</b><b>BGB±SD: Belowground biomass and its standard deviation</b><b>Biomass±SD: Total biomass and its standard deviation</b><br><b>2. Net diversity effect.xlsx</b><b>This file contains net diversity effect data for different years and treatments. The specific fields include:</b><b>year: Year</b><b>CE: Complementarity effect</b><b>SE: Selection effect</b><b>NBE: Net biodiversity effect</b><b>richness: Species richness</b><b>treatment: Treatment type</b><b>stress intensity: Stress intensity</b><br><b>3. Response ratio of AGB and BGB.xlsx</b><b>This file contains response ratio data of aboveground and belowground biomass for different years and treatments. The specific fields include:</b><b>Block: Block number</b><b>treatment: Treatment (CK, DP, IP)</b><b>richness: Species richness</b><b>above ratio: Aboveground biomass response ratio</b><b>below ratio: Belowground biomass response ratio</b><b>ratio: Total biomass response ratio</b><b>year: Year</b><b>test: Test type</b><b>GROUP: Group</b><br><b>4. code.R</b><b>This file contains R code for analyzing the raw data. The main functionalities include:</b><b>Performing mixed linear model analysis</b><b>Conducting ANOVA</b><b>Performing stepwise regression analysis</b>