Data and code from: Diverging restoration pathways for overstory and understory communities in a Mediterranean-climate riparian ecosystem

Few restoration studies have long-term longitudinal data to evaluate recovery trajectories, which typically vary among different aspects of ecosystem structure and composition. We used repeat surveys to evaluate if the trajectory of vegetation structure and community composition in restored and reference forests converged from recovery of restored forest or degradation of reference forest, and whether patterns differed for forest overstories and understories. We measured vegetation communities 9–16 years after prior surveys and 21–30 years after planting in 11 restored and 8 reference forest sites along a 100-km span of the Sacramento River, California. We used generalized linear mixed models and non-metric multidimensional scaling to evaluate convergence in overstory structure, understory cover and understory composition. Restored forest structure became more similar to reference forests over time, converging on basal area of ca. 20 m2 ha-1 around 25 years and densities of stems around..., , ## Data and code from: Diverging restoration pathways for overstory and understory communities in a Mediterranean-climate riparian ecosystem

This readme explains the steps needed to reproduce the figures in the results and supplemental materials. Before running any of the scripts to create the figures users will need to run the global_variables.R script, which centralizes most of the data loading and function definitions. The scripts use relative paths using the here package [https://here.r-lib.org/](https://here.r-lib.org/) which was fully tested on several environments using GitHub repos but may work slightly differently when downloading it from Dryad.
The following describe which scripts are needed to reproduce each figure and table in the document:
(note: legends were rearranged and some changes to color and font were made in Adobe Illustrator)

R programming language (v4.4.0)

```
Package Version
dplyr 1.1.4
tidyverse 2.0.0
here 1.0.1
ggplot2 3.5.1
...,