Datasets for 'Picturing local adaptation: spectral and structural traits from drone remote sensing reveal clinal responses to climate transfer in common-garden trials of interior spruce (Picea engelmannii x glauca)'

Datasets “PCA_sites_seedlots” contain climateNA variables and principal component values for each test site and provenance in the datasat; these data are presented in Fig. 1. Datasets “blups_correlations” contain best linear unbiased predictions (BLUPs) for each trait for each population, populationtransfer distances along principal components, and trait correlations with positive and negative transfer distances; these data are presented in Figs. 5 and 6. Datasets “model_cross_validation” contain ground-measured BLUPs for height and DBH and model predictions for these traits from the selected models from site- and population-wise cross validations; these data are presented in Figs. 7, 8, S6, and S7.

数据集"PCA_sites_seedlots"包含各试验点与种源的climateNA变量及主成分（Principal Component）值，相关数据如图1所示。数据集"blups_correlations"包含各群体各性状的最佳线性无偏预测（Best Linear Unbiased Prediction, BLUP）值、基于主成分的群体迁移距离，以及性状与正负迁移距离间的相关性；相关数据如图5、图6所示。数据集"model_cross_validation"包含树高与胸径（Diameter at Breast Height, DBH）的实地实测BLUP值，以及通过位点与群体水平交叉验证选出的模型对上述性状的预测结果；相关数据如图7、图8、S6及S7所示。