中文说明：这些脚本计算的源/汇林从树冠浓度分布基于逆拉格朗日运输内测量分布（ILT）的概念。ILT占均匀分散在冠层（简单的理论并不适用于这里），将分散到附近的（=非扩散）和远（=扩散）领域的术语。其结果是一个离散矩阵D，涉及源汇分布的浓度梯度，根据：C = D X S技术注：本脚本源层数（SH）要小于集中的层数（ZC）。如果源层数太小（如1-3），计算量可能被低估。对于一个大小为10的集中载体，我通常选择一个源向量（SH）大小4-7
English Description：
These scripts calculate the source/sink distribution within a forest canopy from measured in-canopy concentration profiles based on the Inverse Lagrangian Transport (ILT) concept. The ILT accounts for in-homogenous dispersion within the canopy (simple K-theory does not apply here) and splits the dispersion into a near (=non-diffusive) and far (=diffusive) field term. The result is a dispersion matrix D, that relates the source / sink distribution to the concentration gradient C according to: C = D x S. Technical note: In this script the number of source layers (sh) needs to be smaller than the number of concentration layers (zc). If the number of source layers is too small (e.g. 1-3), the calculated flux might be underestimated. For a concentration vector of size 10, I usually choose a source vector (sh) of size 4-7