树干液流测量与地球观测的联系
Linking Sap Flow Measurements with Earth Observations
摘要：
虽然单棵树的蒸腾量与地球观测相比具有挑战性，但冠层尺度数据适用于此目的。为了测试第二种方法的潜力，我们在云杉林的两个测量点配备了树干液流传感器。这些地点的地形形成鲜明对比。计量期间涵盖二零二零年六月至二零二一年一月期间。为了将地块尺度蒸腾与地球观测联系起来，我们利用了Sentinel-2和当地气象数据。在一个机器学习框架内，我们已经测试了地球观测模型冠层蒸腾的适用性。在测量点交叉验证的训练模型的R2在0.57和0.80之间。这些结果表明，Sentinel-2数据的相关性，从地块尺度液流数据的生态系统通量的数据驱动的放大。如果适用于更广泛的地点和气候条件网络，这种方法可以提供前所未有的可能性，以调查我们的森林在气候变化的竞争中对加剧的水文循环的恢复力和抵抗能力。
英文摘要：
While single-tree transpiration is challenging to compare with earth observation, canopy scale data are suitable for this purpose. To test the potentialities of the second approach, we equipped the trees at two measurement sites with sap flow sensors in spruce forests. The sites have contrasting topography. The measurement period covered the months between June 2020 and January 2021. To link plot scale transpiration with earth observations, we utilized Sentinel-2 and local meteorological data. Within a machine learning framework, we have tested the suitability of earth observations for modelling canopy transpiration. The R2 of the cross-validated trained models at the measurement sites was between 0.57 and 0.80. These results demonstrate the relevance of Sentinel-2 data for the data-driven upscaling of ecosystem fluxes from plot scale sap flow data. If applied to a broader network of sites and climatic conditions, such an approach could offer unprecedented possibilities for investigating our forests' resilience and resistance capacity to an intensified hydrological cycle in the contest of a changing climate.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
