- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Research Data /
- Datasets for 'Picturing local adaptation: spectral...
Open Collections
UBC Research Data
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)' Grubinger, Samuel
Description
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.
Item Metadata
| Title |
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)'
|
| Creator | |
| Contributor | |
| Date Issued |
2023-07-19
|
| Description |
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. |
| Subject | |
| Geographic Location | |
| Type | |
| Date Available |
2023-06-20
|
| Provider |
University of British Columbia Library
|
| License |
CC0 1.0
|
| DOI |
10.14288/1.0434236
|
| URI | |
| Publisher DOI | |
| Grant Funding Agency |
Natural Sciences and Engineering Research Council of Canada
|
| Rights URI | |
| Country |
Canada; Canada
|
| Aggregated Source Repository |
Dataverse
|
Item Media
Item Citations and Data
License
CC0 1.0