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TreeRings

Tree ring analyses after cofecha crossdating & bayesian models of tree ring growth, Water Use Efficiency, and δ13C as presented in our manuscript in Oecologia http://link.springer.com/article/10.1007/s00442-021-04892-0.

Citation

Heilman KA, Trouet VM, Belmecheri S, et al (2021) Increased water use efficiency leads to decreased precipitation sensitivity of tree growth, but is offset by high temperatures. Oecologia. https://doi.org/10.1007/s00442-021-04892-0

This repository holds the code used to quantify the effects of climate, tree size, stand strucutre, and CO2 on tree ring growth across the savanna-forest boundary region in the Uppermidwest US. Specifically, we develop bayesian heiarchical models to understand the joint effects of multiple envirmental factors on tree growth across 9 sites in the upper midwest.

Map of sites included in this analysis

It also houses a variety of general scripts used to process tree ring widths, growth sensitivities to climate, and site level differences in climate sensitivity.

Contents:

R/manuscript_code:

Contains R code to run jags bayesian models of tree ring growth and bayesian models of water use efficiency and δ13C . Analysis covers 9 sites across the upper midwest US, spanning the savanna-forest boundary.

Code used to run bayesian models and generate figures in the manuscript

  • Aggregation of tree ring rwls into a single dataframe, with associated climate data, and back-calculated tree diameter are is conducted in RW_trends.R (calls code from tree_age_agg.R)
  • Separation of ring width and iWUE data into testing and training datasets conducted in clean_separate_data.R (Requires outputs from RW_trends.R & calc_WUE.R)
  • All bayesian models (including the selected model) explored in this analysis are detailed in RWI_models.Rmd
  • Selected tree ring growth model is run in RWI_bayes_model.R (run with globally scaled covarate data)
  • Selected tree ring growth model after doing cohort/structure covariate scaling is in RWI_bayes_model_scaled_struct_cohort.R
  • Chosen WUE and δ13C bayesian heiarichical models are in WUE_bayes_model
  • Paper figures for the manuscript are generated in Paper_figures.R (global scaling) & Paper_figures_cohort_struct_scaled.R
  • Summary tables are generated in Summary_tables.Rmd
  • WUE tables are generated in WUE_d13C_model_tables.Rmd

Code used to clean up and calculate WUE from δ13C values

  • R code used to read in all the δ13C values, correct for the suess effect and do some preliminary plotting and cleaning of the data in read_plot_deltaC.R
  • R code used to calucluate intrinsic water use efficiency from the stable isotope values output from read_plot_deltaC.R is calc_WUE.R

R/Preliminary_analyses:

Contains R code for detrending tree ring widths, and conducting preliminary correlations with climate for each site.

UNDERC_training folder

Contains rcode used to train and demonstrate basic climate correlations and stand mapping for tree ring analyses

  • Basic detrending options in dplr are in dplR_detrend.R
  • Some code to generate stand maps from plot coordinates is in UNDERC_plot_maps.R
  • A basic guide to generating tree ring growth - climate correlations/responses is in Climate_response_UNDERC.R

R/Preliminary_analyses/Isotopes

Contains the code used to read in IRMS data and do standard corrections.

  • R code used to read in IRMS raw data and correct for standards IRMS_Data_Process_Raw.R
  • R code used to identify potential years with similar climate to do sampling on is in Picking_isotope_years.R

Data used in this manuscript are archived on NIS

-Stable Isotope & iWUE data: Heilman, K. 2020. Quercus spp Tree Ring Isotopes, Midwest US ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/5fb5ebba1cef5c236aba80f32aa771a7 (Accessed 2021-02-18).

-Tree Ring data are archived in site-level zip files: Heilman, K. 2020. Tree Rings, Avon Hills Scientific and Natural Area, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/eba1457b8ea2b2da9d7413bca501cd2a (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Bonanza Prairie Scientific and Natural Area ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/fc86ca8a52ea170b36ff9456f83b5682 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Englund Ecotone Scientific and Natural Area, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/010be23542658a4cd0e93fd1be6277d8 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Glacial Park, McHenry County Conservation District, Illinois ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/13a05a445fb73b319401fdcfef011935 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Glacial Lakes State Park Site 1, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/70449da6c90055d7b614e8dc2998ba42 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Glacial Lakes State Park Site 2, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/5427c7526f48424fcd8a50474ca20380 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Glacial Lakes State Park Site 3, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/a20a2311145bba28181cea354d9cb505 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Mound Prairie Scientific and Natural Area, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/157f332c116923026be7d781c4f06956 (Accessed 2021-02-18).

Heilman, K. 2020. Tree Rings, Uncas Dunes Scientific and Natural Area, Minnesota ver 0. Environmental Data Initiative. https://doi.org/10.6073/pasta/6229c214814dc38a7bf11cfd57e01eaf (Accessed 2021-02-18).

Please cite the manuscript if using these data, and/or the code: [I'll update manuscript citation details here, once accepted]

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Bayesian model of tree ring growth and WUE

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