Abstract：
Plant phenology is influenced by a combined effect of phylogeny and climate, although it is yet unclear how these two variables work together to change phenology. We synthesized 107 previously published studies to examine whether phenological changes were impacted by both phylogeny and climate changes in various geographical settings globally. Phenological observation data from 52,463 plant species at 71 sites worldwide revealed that 90 % of phenological records showed phylogenetic conservation. i.e., closely related species exhibited similar phenology. To explore the significant and non-significant phylogenetic conservation between plant phenophases, our dataset comprises 5,47,000 observation records from the four main phenophases (leaf bud, leaf, flower, and fruit). Three-dimensional geographical distribution (altitude, latitude, and longitude) data analysis revealed that plant phenology may exhibit phylogenetic signals at finer special scales (optimal environmental conditions) that vanish in high altitude and latitude regions. Additionally, climatic sensitivity analysis suggested that phylogenetic signals were associated with plant phenophases and were stronger in the regions of ideal temperature (7-18 °C) and photoperiod (10-14 h) and weaker in harsh climatic conditions. These results show that phylogenetic conservation in plant phenological traits is frequently influenced by the interaction of harsh climatic conditions and geographical ranges. This meta-analysis enhances our knowledge of predicting species responses over geographic gradients under varied climatic conditions.
摘要：
植物物候受到系统发育和气候的综合影响，尽管目前尚不清楚这两个变量如何共同改变物候。我们综合了107项先前发表的研究，以检查全球各种地理环境中物候变化是否受到系统发育和气候变化的影响。来自全球71个地点的52,463种植物物种的物候观察数据显示，90％的物候记录显示了系统发育保守性。即，密切相关的物种表现出相似的物候。为了探索植物物候期之间的显著和不显著的系统发育保守性，我们的数据集包括来自四个主要物候期(叶芽，leaf,花,和果实）来自52,453种植物物种聚集在一起。三维地理分布(海拔高度，纬度,和经度）数据分析表明，植物物候可能在更精细的特殊尺度（最佳环境条件）上表现出系统发育信号，这些信号在高海拔和纬度地区消失。此外,气候敏感性分析表明，系统发育信号与植物物候期相关，并且在理想温度（7-18°C）和光周期（10-14h）区域更强，而在恶劣的气候条件下则更弱。这些结果表明，植物物候性状的系统发育保护经常受到恶劣气候条件和地理范围相互作用的影响。这种荟萃分析增强了我们在不同气候条件下预测地理梯度上的物种响应的知识。
