加州大学Ian J. Wang团队宣布他们的最新研究探明了全球物候图揭示了季节不同步的驱动因素和影响。相关论文发表在2025年8月27日出版的《自然》杂志上。

该团队以数据驱动的卫星图像分析为主题，绘制全球LSP地图，提供了对地球物候多样性的见解，记录了相似气候之间的洲际趋同以及与地形气候、生态水文和植被结构相关的区域异质性。然后，该课题组绘制了空间物候不同步和控制它的不同步季节性模式，确定了热带山区和地中海气候区域的不同步热点，并报告了气候相似地点在热带地区表现出更大的物候不同步的假设的证据。最后，研究人员发现他们的全球LSP地图预测了开花物候、遗传分化甚至收获季节在一系列分类群中的复杂地理不连续，建立了遥感作为理解异源性异时性的生态和进化后果的重要工具。

据介绍，陆生植物群落的年生长节律或季节物候变化很大。这种变化产生的地理格局，被称为陆地表面物候学（LSP），包含有价值的信息，用于研究生态系统功能，植物生态生理学，景观生态学和进化生物地理学。然而，全球一致的LSP制图一直受到各种方法的阻碍，这些方法难以代表陆地生物群落中发生的全部季节物候，特别是许多干旱和热带生态系统中微妙而复杂的物候。

附：英文原文

Title: Global phenology maps reveal the drivers and effects of seasonal asynchrony

Author: Terasaki Hart, Drew E., Bi, Tho-Nguyn, Di Maggio, Lauren, Wang, Ian J.

Issue&Volume: 2025-08-27

Abstract: Terrestrial plant communities show great variation in their annual rhythms of growth, or seasonal phenology1,2. The geographical patterns resulting from this variation, known as land surface phenology (LSP)3, contain valuable information for the study of ecosystem function4,5, plant ecophysiology6,7,8, landscape ecology9,10 and evolutionary biogeography11,12,13. Yet globally consistent LSP mapping has been hampered by methods that struggle to represent the full range of seasonal phenologies occurring across terrestrial biomes14, especially the subtle and complex phenologies of many arid and tropical ecosystems1,15,16. Here, using a data-driven analysis of satellite imagery to map LSP worldwide, we provide insights into Earth’s phenological diversity, documenting both intercontinental convergence between similar climates and regional heterogeneity associated with topoclimate, ecohydrology and vegetation structure. We then map spatial phenological asynchrony and the modes of asynchronous seasonality that control it, identifying hotspots of asynchrony in tropical mountains and Mediterranean climate regions and reporting evidence for the hypothesis that climatically similar sites exhibit greater phenological asynchrony within the tropics. Finally, we find that our global LSP map predicts complex geographical discontinuities in flowering phenology, genetic divergence and even harvest seasonality across a range of taxa, establishing remote sensing as a crucial tool for understanding the ecological and evolutionary consequences of allochrony by allopatry.

DOI: 10.1038/s41586-025-09410-3

Source: https://www.nature.com/articles/s41586-025-09410-3