INRAE, Université de Bordeaux, UMR 1391 ISPA, Villenave-d'Ornon, France.
Computational and Applied Vegetation Ecology - CAVElab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Nat Plants. 2022 Aug;8(8):915-922. doi: 10.1038/s41477-022-01209-8. Epub 2022 Aug 11.
Spring phenology is mainly driven by temperature in extratropical ecosystems. Recent evidence highlighted the key role of micrometeorology and bud temperature on delaying or advancing leaf unfolding. Yet, phenology studies, either using ground-based or remote sensing observations, always substitute plant tissue temperature by air temperature. In fact, temperatures differ substantially between plant tissues and the air because plants absorb and lose energy. Here, we build on recent observations and well-established energy balance theories to discuss how solar radiation, wind and bud traits might affect our interpretation of spring phenology sensitivity to warming. We show that air temperature might be an imprecise and biased predictor of bud temperature. Better characterizing the plants' phenological response to warming will require new observations of bud traits and temperature for accurately quantifying their energy budget. As consistent micrometeorology datasets are still scarce, new approaches coupling energy budget modelling and plant traits could help to improve phenology analyses across scales.
春季物候主要受温带生态系统温度的驱动。最近的证据强调了微气象学和芽温在延迟或提前叶片展开方面的关键作用。然而，无论是基于地面的还是遥感观测的物候学研究，总是用空气温度来代替植物组织温度。事实上，由于植物吸收和释放能量，植物组织和空气之间的温度有很大的差异。在这里，我们基于最近的观测和成熟的能量平衡理论，讨论了太阳辐射、风和芽特征如何影响我们对春季物候对变暖敏感性的解释。我们表明，空气温度可能是芽温的一个不精确和有偏差的预测因子。更好地描述植物对变暖的物候响应需要对芽特征和温度进行新的观测，以准确量化它们的能量预算。由于一致的微气象数据集仍然稀缺，结合能量预算模型和植物特征的新方法可以帮助在各个尺度上改进物候分析。
