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)'

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	Grubinger, Samuel
Contributor	Grubinger, Samuel
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	Earth and Environmental Sciences; Other
Geographic Location	British Columbia; Alberta
Type	Dataset
Date Available	2023-06-20
Provider	University of British Columbia Library
License	CC0 1.0
DOI	10.14288/1.0434236
URI	https://doi.org/10.5683/SP3/UKEBRS
Publisher DOI	https://doi.org/10.5683/SP3/UKEBRS
Grant Funding Agency	Natural Sciences and Engineering Research Council of Canada
Rights URI	http://creativecommons.org/publicdomain/zero/1.0
Country	Canada; Canada
Aggregated Source Repository	Dataverse

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CC0 1.0