Supplement 1. The resulting PLSR model coefficients (and their uncertainties) for predicting foliar traits using leaf-level dried and ground spectral reflectance data.

File List PLSR_Model_Coefficients.csv (MD5: f08d202ddec2d8250d8153cc56ffa0ab) Description The PLSR_Model_Coefficients.csv file is a comma-delimited file. It contains the resulting PLSR model coefficients (and their uncertainties) for predicting foliar traits using leaf-level dried and ground spectral reflectance data. The full model represents the coefficients generated using the full calibration data set (i.e., all samples) while the mean and standard deviation (S.D.) are derived from the 1000× jackknife models using a 70/30 split of the full calibration data set. Cells without numbers show where wavelengths were not utilized in the PLSR modeling.文件列表项：PLSR_Model_Coefficients.csv（MD5哈希值：f08d202ddec2d8250d8153cc56ffa0ab），其说明如下：本文件为逗号分隔值（Comma-Separated Values，CSV）格式文件，存储了利用干燥磨碎的叶片光谱反射数据预测叶片性状所得的偏最小二乘回归（Partial Least Squares Regression，PLSR）模型系数及其不确定度。其中，完整模型的系数基于全部校准数据集（即所有样本）生成；而均值与标准差（S.D.）则由1000次刀切法（jackknife）模型计算得到，这些模型均将完整校准数据集按70/30的比例划分为训练集与测试集。表格内无数值的单元格，表示对应波长未在PLSR建模流程中被采用。