Published September 4, 2025 | Version v1
Dataset Open

Data, R code, and model outputs for "Mosaic of size-dependent mortality in three ecologically and economically important pine species reveals patterns across space and time" (Bauman et al. 2025, Global Ecology and Biogeography)

  • 1. ROR icon Institut de Recherche pour le Développement
  • 2. ROR icon Université Libre de Bruxelles

Contributors

Project leader:

  • 1. ROR icon Institut de Recherche pour le Développement
  • 2. ROR icon Université Libre de Bruxelles
  • 3. ROR icon Smithsonian Environmental Research Center
  • 4. University of Florida

Description

This repository provides the full research compendium (repository of data, code, model outputs, and figures) associated with the following peer-reviewed publication:

Bauman, D., McMahon, S.M., & Johnson, D.J. (2025). Mosaic of size-dependent mortality in three ecologically and economically important pine species reveals patterns across space and time. Global Ecology and Biogeography.

The repository contains:

  • CODE: R script implementing all analyses, with extensive comments.

  • DATA: Raw datasets used in the study.

  • DATA_processed: Processed/derived datasets generated by the R script.

  • OUTPUT: Model outputs for all analyses.

    • figures/: Figures corresponding to those in the article and its supplementary material.

Together, these materials enable full reproduction of the analyses, numerical results, and figures reported in Bauman et al. (2025).

A README file provides instructions for navigating and using the repository.
The R script outline maps each section of the code to the corresponding figures and supplementary figures in the publication. It therefore strongly facilitates the navigation through several thousand lines of commented code.

Files

R_data_code_outputs_Bauman_et_al_2025_GEB.zip

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Additional details

Software

Programming language
R