Explaining links between structure, albedo and nitrogen availability in forests using LiDAR and modelling

森林冠层是由不同角度、密度、形态特征和光合能力的叶片组成的复杂阵列。理解适当水平的模型复杂性和应用数学精确计算气体交换仍然是生物圈-大气相互作用的一个重要课题。例如，目前的全球光合作用模型仍然高度不确定，范围在100到170 PgC之间，这是生态系统、碳循环和耦合气候模型的主要输入。如果我们要对森林对气候变化的反应以及与气候的潜在反馈做出可信的预测，我们需要做得更好。理解驱动CO的尺度敏感机制

Forest canopies are complex arrays of leaves with different angles, density, morphological features and photosynthetic capacity. Understanding the appropriate level of model complexity and applying the mathematics to compute gas exchanges accurately remains an important topic of biosphere-atmosphere interactions. For example, current models of global photosynthesis remain highly uncertain, ranging between 100 and 170 PgC, and this is the primary input into ecosystem, carbon cycling and coupled climate models. We need to do better if we are to make credible predictions about the response of forests to changing climate and potential feedbacks with the climate. Understanding the scale sensitive mechanisms driving CO