Dataset and code for "Climate warming interacts with other global change drivers to influence plant phenology: a meta-analysis of experimental studies"

This is a dataset for the meta-analysis of "Climate warming interacts with other global change drivers to influence plant phenology: a meta-analysis of experimental studies". We found widespread interaction effects between global change drivers on multiple plant phenophases. The interactions W+IP and W+eCO2 were frequently synergistic, whereas the interactions W+N and W+DP were mostly antagonistic. Using Web of Science, Google Scholar and the China National Knowledge Infrastructure, we collected a total of 9571 observations from 242 peer-reviewed articles that reported changes in plant sequential phenophases (leaf out, first flowering, fruiting and leaf coloring) under experimental manipulations of warming (W) and other global change drivers, including increased precipitation (IP), decreased precipitation (DP), nitrogen addition (N), and elevated CO2 concentration (eCO2), from 1990 until 2022. These global change experiments were located from 43.6° S to 79.1° N. We used a widely accepted bias-corrected method to quantify individual effects and the combined effects of global change drivers on plant sequential phenophases (effect size: Hedges' g). The interactive effect and main effect for judging the interaction types of combined effect were calculated as Hedges' d. All the statistical analysis were implemented in R version 4.2.2. The dataset and R code were both uploaded.