Data from: Variation among populations of Quercus macrocarpa in a reciprocal transplant experiment across a latitudinal gradient
Data files
Jul 11, 2026 version files 731.41 KB
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aster_dryad.zip
132.21 KB
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bur_oak_data_2023.csv
523.70 KB
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CN_2022.csv
574 B
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growing_season_2023.csv
69.59 KB
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README.md
5.34 KB
Abstract
Ongoing climate change will impact tree populations unless they are able to acclimate to the changes in their local environment. Effective planning for managing climate adaptation requires an understanding of the current state of local adaptation and physiological performance to assess whether populations are at risk of local extinction and determine if assisted migration is appropriate and to select seed sources populations. Here, we used a reciprocal transplant experiment across a latitudinal gradient in North America to examine the impacts of warming on three bur oak (Quercus macrocarpa) populations across their current range. We aimed to 1) assess local adaptation in each of the populations using survival and size as fitness metrics, and 2) evaluate differences in physiological responses to different environments along the latitudinal gradient. We found that northern populations are maladapted to hotter climates as evidenced by their low survival, growth, and photosynthetic rates in the warmest common garden. The southernmost population had the highest survival rate, growth rate, and fitness of the three populations in the southernmost garden, providing evidence for local adaptation to the warmest garden. However, we found that conditions in our middle garden led to all populations having the highest fitness and best physiological performance in that garden. Growth and survival were correlated in the middle garden, but were decoupled in the northernmost and southernmost gardens, likely due to stress associated with the climate in the gardens at either end of the gradient that led to greater allocation to survival than growth. Our results suggest that southern seed sources may be well adapted to warmer conditions in the north brought on by climate change, which may have important implications for managers assisting broadly ranged tree species in adapting to climate change.
https://doi.org/10.5061/dryad.2z34tmpvk
Description of the data and file structure
Data collected across three common gardens located at Cedar Creek Ecosystem Science Reserve, Minnesota, USA, Morton Arboretum, Illinois, USA, and Kessler Atmospheric and Ecology Field Station, Oklahoma, USA. Physiological and spectral variables were collected at peak growing season in each of the three gardens. Height and diameter were taken upon planting in spring 2021 and in the fall at the end of the growing season after that. Phenology data was tracked for budburst in the spring and senescence in the fall of 2023.
Files and variables
File: growing_season_2023.csv
Description: Phenology data collected in 2023 in each garden
Variables
- garden_ID: ID assigned to individual tree based on the garden, block, row, and column it is located in.
- population: population state of origin
- garden: garden planted in
- mother_id: ID of mother tree acorn was collected from
- budburst date: date of first recorded budburst
- dead: indicates whether tree is dead ("yes") or alive ("no")
- budburst doy: Day of year of first recorded budburst
- block: garden block
- row: garden row
- column: garden column
- senescence date: date of first recorded falling leaves
- senescence doy: day of year of first recorded falling leaves
- growing season days: length of growing season (senescence doy - budburst doy)
File: bur_oak_data_2023.csv
Description: Physiological and growth data and tree metadata. Values are NA where trees were dead or lacking enough plant material and could not be measured for traits.
Variables
- year_acorn_planted: year acorn was planted in Indiana
- year_seedling_planted: year seedling planted in its garden
- species_name: name of species
- location_assignment: location assigned in garden
- block: garden block
- row: garden row
- column: garden column
- population: population state of origin
- Site: site of subpopulation mother belonged to
- mother_id: ID of mother tree acorn was collected from
- garden_ID: ID assigned to individual tree based on the garden, block, row, and column it is located in.
- garden: garden planted in
- A: photosynthetic carbon assimilation rate
- gsw: stomatal conductance
- hhmmss: time of gas exchange measurement (hour, minute, second)
- iWUE: intrinsic water use efficency (A/gsw)
- ChlNDI: Chlorophyll normalized difference index (spectral)
- NDNI: Normalized difference nitrogen index (spectral)
- RGR_time: length of relative growth rate time
- Vol_growth: absolute volume growth from planting to Fall 2023
- RGR_Vol: relative volume growth rate from planting to Fall 2023
- deadmissing_fall23: survival status in fall 2023 (1 = alive, 0 = dead)
- height_fall23: height in fall 2023 (cm)
- diameter_fall23: basal diameter in fall 2023 (cm)
- Vol_conoid_cm3_F23: conoid volume fall 2023 (cm3)
- height_sp21: height in spring 2021 at planting (cm)
- diameter_sp21: basal diameter in spring 2021 at planting (cm)
- Vol_conoid_cm3_S21: conoid volume spring 2021 at planting (cm3)
File: CN_2022.csv
Description: Soil Carbon and Nitrogen measured on Elemental Analyzer
Variables:
- Sample: Sample run number
- Sample ID: garden.block of soil sample
- garden: garden of soil sample
- Sample Amount: ug of soil sample measured
- Nitrogen: ug of nitrogen in sample
- Carbon: ug of carbon in sample
File: data_analysis_stats_dryad.R
Description: Code for statistical analysis of physiological and growth data for use with bur_oak_data_2023.csv
File: aster_dryad.zip
Description: Data and code for bur oak fitness using aster estimation. Values are NA where trees were dead and could not be measured for traits.
File: dat_for_aster_dryad.csv
Description: Data for use with aster_mother_id2_dryad.R
Variables
- mother_id: ID of mother tree acorn was collected from
- garden_ID: ID assigned to individual tree based on the garden, block, row, and column it is located in.
- garden: garden planted in
- population: population state of origin
- block: block in garden
- garden_block: combined garden and block ID
- RGR_Vol: relative volume growth rate from planting to Fall 2023
- deadmissing_fall23: survival status in fall 2023 (1 = alive, 0 = dead)
- height_fall23: height in fall 2023 (cm)
- diameter_fall23: basal diameter in fall 2023 (cm)
- deadmissing_fall22: survival status in fall 2022 (1 = alive, 0 = dead)
- deadmissing_fall21: survival status in fall 2021 (1 = alive, 0 = dead)
- height_fall21: height in fall 2021 (cm)
- diameter_fall21: basal diameter in fall 2021 (cm)
- height_sp21: height in spring 2021 at planting (cm)
- diameter_sp21: basal diameter in spring 2021 at planting (cm)
File: aster_mother_id2_dryad.R
Description: Code for aster analysis to predict fitness using height and survival for use with dat_for_aster_dryad.csv
File: phenology_2023_dryad.R
Description: Code for analysis of phenological data for use with growing_season_2023.csv
Code/software
For use with R version 4.3.0. Packages used include lme4, tidyverse, aster, and plotrix.
