Analysis Code and benchmark data processing code for the publication Demography, Dynamics and Data: Growing Confidence for Simulating Changes in the World's Forests

Code related to the publication Eckes-Shephard et al 2025 The code contains analysis code for the publication and processing code for the benchmark data used in the publication. The processed benchmark observations are also deposited as .csv in folder /observations/2_processed. /model_outputs: contains all model outputs used in this publication, usually as .nc file, mostly in "D-BEN" format*. The subfolder structure can vary, but is kept to conform with the functions in DBEN-helper_functions_clean.R /observations: /1_raw/README: contains the referenes to the dataset origins that were used by Process_observations.R, to create benchmarking files into /2_processed /1_raw/temperature_data: contains scripts and data used for mean - temperature analysis (in supplementary materials) /2_processed: benchmarking observations created by Process_observations.R /scripts (download from github): Eckes-Shephard_et_al2025.Rmd: Analysis script that creates the Figures and Supplementary figures for the publication Eckes-Shephard. et al2025. DBEN_helper_functions.R: set of demographic-benchmarking-analysis specific functions that is used by Eckes-Shephard_et_al2025.R. Process_observations.R: Script that creates the benchmark files (in 2_processed) used in Eckes-Shephard_et_al2025.R Format_DBEN_Eckes-Shephard_et_al2025.R: a Format, quantity, and layer definition of D-BEN outputs to be compatible for managing outputs and data in DGVM-Tools format. For mort information, see https://github.com/MagicForrest/DGVMTools. Note that this Format is not the same as the D-BEN data-format described below. *D-BEN format: From the informal demographic benchmarking initiative, where the format has been discussed with members of the demographic vegetation modelling community. the format is not settled yet, but the table S3.1 in the simulation protocol reflects (Supplementary notes S1) the version that modellers tried to adhere to for this analysis. Get started: checkout the github repository https://github.com/teatree1212/DBEN_Eckes_Shephard_et_al; https://zenodo.org/records/15870478 into the git repository, download and unzip model_outputs.zip and observations.zip from this zenodo repository. inside folder "scripts", render the file Eckes-Shephard_et_al2025.Rmd by doing Rscript -e "rmarkdown::render('Eckes-Shephard_et_al2025.Rmd')"