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.本数据集服务于题为《气候变暖与其他全球变化驱动因子交互作用影响植物物候：一项实验研究元分析（meta-analysis）》的研究。研究发现，全球变化驱动因子间的交互作用对多种植物物候期（phenophase）存在广泛影响。其中W+IP（增温（warming）与降水增加（increased precipitation, IP））、W+eCO2（增温与CO2浓度升高（elevated CO2 concentration, eCO2））的交互作用多为协同效应，而W+N（增温与氮添加（nitrogen addition, N））、W+DP（增温与降水减少（decreased precipitation, DP））的交互作用则多为拮抗效应。本研究通过科学网（Web of Science）、谷歌学术（Google Scholar）及中国知网（China National Knowledge Infrastructure, CNKI）三大数据库，检索了1990年至2022年间发表的242篇同行评议论文，共收集得到9571条观测数据；这些文献报道了在增温及其他全球变化驱动因子的实验操控下，植物连续物候期（展叶、始花、结实与叶色变化）的变化情况。此类全球变化实验的布设范围介于南纬43.6°至北纬79.1°之间。本研究采用学界广泛认可的偏差校正方法，量化全球变化驱动因子对植物连续物候期的单因子效应与复合效应，效应量（effect size）指标为赫奇斯g值（Hedges' g）。用于判定复合效应交互类型的交互效应与主效应，均以赫奇斯d值（Hedges' d）进行计算。所有统计分析均通过R 4.2.2版本完成。本数据集与配套R代码均已公开上传。