Vegetation factors (all processed to ~8 km resolution)

This repository hosts the processed input datasets used in our study. Due to the substantial volume of the raw source data exceeding Figshare's storage limits, we provide a curated version processed to a consistent ~8 km (1/12°) spatial resolution. This approach ensures broad accessibility while facilitating direct reproducibility of our results.All data processing strictly adheres to the methodology detailed in the manuscript. The ~8 km products archived here are the inputs utilized for the statistical analyses and modeling reported in the paper.The following variables are included (all at ~8 km resolution). Researchers requiring the original high-resolution raw data should consult the public repositories listed below:Forest Management Land (FML): https://zenodo.org/records/5879022Forest Cover (FC): https://maps.elie.ucl.ac.be/CCI/viewer/download.phpForest Loss (FL): https://storage.googleapis.com/earthenginepartners-hansen/GFC-2023-v1.11/download.htmlForest Gain (FG): https://glad.umd.edu/dataset/GLCLUC2020Canopy Height (CH): https://developers.google.com/earth-engine/datasets/catalog/NASA_JPL_global_forest_canopy_height_2005Tree Density (TD): https://elischolar.library.yale.edu/yale_fes_data/1/Forest Age (FA): https://doi.org/10.17871/ForestAgeBGI.2021Leaf traits - Leaf Nitrogen Content (LNC), Leaf Phosphorus Content (LPC), Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC); https://www.try-db.org/TryWeb/Data.php#60Species Diversity Effect (SD): https://zenodo.org/records/6948912#.YufcT3ZByUkRoot Depth (RD): https://figshare.com/articles/dataset/Trade-off_between_gymnosperm_resistance_and_resilience_increases_forest_sensitivity_to_extreme_drought/12047241?file=22143195Native Species Richness (NSR): https://dataverse.harvard.edu/dataverse/plant_biodiversity_in_anthropocene