Climate-driven shifts in tree phenology: global patterns, trends, and ecological implications

IF 6.7 Q3 ENGINEERING, ENVIRONMENTAL
Karuna Gusain, Kajal Gautam, Mohit Bhatt, Hukum Singh, Mithilesh Singh and Santan Barthwal
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Abstract

Shifts in the seasonal timing of tree phenological events, including budburst, leaf emergence, flowering, and fruiting, are among the most sensitive biological indicators of climate change. We conducted a systematic review of 145 empirical studies published between 2004 and 2024, encompassing 116 tree species across tropical, subtropical, temperate, and boreal biomes, to synthesize global trends, dominant climatic drivers, and ecological consequences of phenological changes. Temperature emerged as the primary driver in temperate and boreal systems, where spring leaf-out and flowering advanced by 2.5–5.1 days/°C of warming. In contrast, phenology in tropical and subtropical ecosystems was more strongly regulated by precipitation and drought variability, with increased rainfall advancing flowering and fruiting by 3–5 days and drought stress delaying events by 7–10 days. Additional influences included photoperiod, solar radiation, relative humidity, elevated CO2, soil moisture, and urban heat island effects, while extreme events such as heatwaves and late frosts frequently disrupted expected phenological patterns. These shifts have far-reaching implications for growing-season length, carbon uptake, evapotranspiration, nutrient cycling, and trophic synchrony, with cascading effects on biodiversity and ecosystem resilience. Despite this importance, evidence remains geographically biased toward Europe and North America, and mechanistic understanding is constrained by reliance on observational approaches and limited representation of species-specific responses in dynamic global vegetation models. Integrating long-term monitoring, remote sensing, trait-based data, and machine learning into modelling frameworks is essential to improve the projections of vegetation–climate feedbacks under future climate scenarios.

Abstract Image

气候驱动的树木物候变化:全球模式、趋势和生态影响
树木物候事件的季节变化,包括发芽、出芽、开花和结果,是气候变化最敏感的生物指标之一。本文对2004年至2024年间发表的145项实证研究进行了系统回顾,涵盖了热带、亚热带、温带和北方生物群落的116种树种,以综合全球趋势、主要气候驱动因素和物候变化的生态后果。在温带和寒带气候系统中,温度成为主要驱动因素,春季出叶和开花时间每升温1°C提前2.5-5.1天。相比之下,热带和亚热带生态系统的物候受降水和干旱变率的调节更强,降雨增加使开花结果提前3-5天,干旱胁迫使开花结果推迟7-10天。其他影响包括光周期、太阳辐射、相对湿度、二氧化碳升高、土壤湿度和城市热岛效应,而热浪和晚霜等极端事件经常破坏预期的物候模式。这些变化对生长季节长度、碳吸收、蒸散、养分循环和营养同步具有深远影响,对生物多样性和生态系统恢复力具有级联效应。尽管如此,证据仍然在地理上偏向于欧洲和北美,并且依赖于观测方法和动态全球植被模型中物种特异性响应的有限代表性,限制了对机制的理解。将长期监测、遥感、基于特征的数据和机器学习整合到建模框架中,对于改善未来气候情景下的植被-气候反馈预测至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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1.90
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