Nokes Experimental Forest: Leaf Temperature, Stem Radius, and Environmental Condition Data

This project contains data and scripts used in the Weygint et al. (2022) manuscript, which was recently submitted to Ecosphere. Specifically, this project contains two data files, one which was used to determine the relationship between photoperiod and the probability of stem radial growth, and the other which was used to explore relationships between conifer leaf temperatures and diurnal stem radial variations using generalized additive mixed models. There are also four R scripts (R Core Team 2021) included here. The first script, titled "Weygint_etal-2022_Question1_Models-Figures" creates GAMMs used to explore the first question asked in Weygint et al. (2022): "Can we use leaf temperature and environmental conditions to predict daily tree water status?" There is also code included to visualize these relationships. The second R script is titled "Weygint_etal-2022_Question2_Models-Figures" and it creates GAMMs to explore the second question asked in Weygint et al. (2022): "Can we use leaf temperatures and environmental conditions to predict daily stem radial growth?" This script also contains code to visualize the observed relationships. The third R script, titled "Weygint_etal-2022_LogisticRegressionModels" creates logistic regression models to determine how the probability of stem radial growth changes with seasonal variability in photoperiod. The final R script, titled "Weygint_etal-2022_SummaryStats-Fig3" calculates summary statistics for the important environmental conditions used in this project. It also creates plots of each of these environmental variables which are included in the manuscript of Weygint et al. (2022) as Figure 3. References: R Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Weygint, W.A., Eitel, J.U.H., Maguire, A.J., Vierling, L.A., Johnson, D.M., Campbell, C.S., Griffin, K.L. 2022. Leaf temperatures and environmental conditions predict daily stem radial variations in temperate coniferous forests. Submitted to Ecosphere.