<b>Africa MATRIX: </b><b>Demographic compensation across biomes stabilizes Africa’s forest structure under climate change</b>
Domain:
environment and energyclimategeospatialRecord type:
Overview
This Figshare deposit provides the processed datasets, trained Random Forest model objects, validation outputs, and climate covariates supporting the Africa MATRIX forest demographic modeling framework.
These materials enable reproduction of model training, evaluation, and simulation results reported in the associated manuscript, including demographic rate estimation (mortality, upgrowth, recruitment), cross-validation, cross-sample interval validation (Inventory 1 → Inventory 2), and long-term forest projections (2010–2100) under constant and scenario-based climate forcing (e.g., SSP1–2.6 and SSP5–8.5).
All simulations were implemented in R and executed on Linux-based high-performance computing systems. The complete preprocessing, training, validation, and projection scripts are available separately via the companion GitHub repository.
Contents of this deposit
This repository includes the following components:
- Processed training and simulation datasets
Plot- and state-space–level inputs used for model training and projection, including species-group × DBH-class abundance matrices and structural and diversity metrics. - Trained Random Forest models
Serialized R model objects (.rds) for mortality, upgrowth, and recruitment, including feature lists and tuned hyperparameters. - Validation outputs
Out-of-fold predictions from 5-fold cross-validation and outputs from forward (Inventory 1 → Inventory 2) simulation used to assess emergent stand dynamics. - Climate covariates
Static baseline climate inputs and annual plot-level climate time series for SSP1–2.6 and SSP5–8.5 projection scenarios.
Relationship to code
All R scripts used to generate the contents of this deposit—including preprocessing, model training, cross-validation, forward validation, and long-term projections—are publicly available in the associated GitHub repository and are not duplicated here.
License
All files in this deposit are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license unless otherwise noted.
Citation
Please cite this Figshare deposit when using these data or model objects:
DOI:https://doi.org/10.6084/m9.…
Contact
Desmond Sosu Mensah
Department of Forestry and Natural Resources, Purdue University
Email: dmensah@purdue.edu / desmondsosumensah@gmail.com