Li Yizhuo, Meng Lin, Richardson Andrew D, Lee Xuhui, Menzel Annette, Mao Jiafu, Diehl Jen L, Wang Anzhi
Chinese Academy of Sciences Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Proc Natl Acad Sci U S A. 2025 Sep 16;122(37):e2501844122. doi: 10.1073/pnas.2501844122. Epub 2025 Sep 8.
Vegetation phenology, i.e., seasonal biological events such as leaf-out and leaf-fall, regulates local climate through biophysical processes like evapotranspiration (ET) and albedo. However, the net surface temperature impact of these processes-whether ET cooling or albedo-induced warming predominates-and how the dominance changes across phenological transitions and regions remains poorly understood. Here, we investigated the effects of vegetation foliage on daytime land surface temperature (LST) following six phenological transitions, spanning from the start of season to end of season, in deciduous and mixed forests across the mid- to high-latitude Northern Hemisphere during 2013-2021 using multiple satellite products and ground observations. We quantified vegetation effect as the difference between observed LST and LST estimates from the Annual Temperature Cycle (ATC) model, representing a no-foliage scenario. We found that vegetation-induced cooling consistently outweighs warming following all phenological transitions except for the end of the season. Cooling intensity increased with vegetation greenness, ranging from 1.0 ± 0.5 °C (mean ± 0.15 SD) in 59% of forests after the start of the season (SOS) to 6.1 ± 0.8 °C in 89% of forests following the onset of maturity, before declining toward the end of the season. Over half of the regions experiencing cooling showed intensification of surface cooling with climate warming, suggesting an amplified vegetation-mediated cooling under future climate change. The findings provide a more precise understanding of the role of vegetation in modulating climate at the intraseasonal scale, highlighting the importance of integrating phenological impacts into climate adaptation strategies and Earth system modeling.
植被物候,即诸如展叶和落叶等季节性生物事件,通过蒸散(ET)和反照率等生物物理过程调节局部气候。然而,这些过程对地表温度的净影响——是ET冷却还是反照率引起的变暖占主导——以及这种主导地位如何在物候转变和不同区域间变化,仍知之甚少。在此,我们利用多种卫星产品和地面观测数据,研究了2013 - 2021年北半球中高纬度地区落叶林和混交林从季节开始到结束的六个物候转变后,植被叶片对白天陆地表面温度(LST)的影响。我们将植被效应量化为观测到的LST与年度温度周期(ATC)模型估算的LST之间的差异,该模型代表无叶情景。我们发现,除了季节结束时,在所有物候转变之后,植被引起的冷却始终超过变暖。冷却强度随植被绿度增加,从季节开始(SOS)后59%的森林中的1.0±0.5°C(平均值±0.15标准差)增加到成熟开始后89%的森林中的6.1±0.8°C,然后在季节结束时下降。超过一半经历冷却的区域显示随着气候变暖表面冷却加剧,这表明在未来气候变化下植被介导的冷却会增强。这些发现为植被在季节内尺度上调节气候的作用提供了更精确的理解,强调了将物候影响纳入气候适应策略和地球系统建模的重要性。