Data and Code: The pan-tropical age distribution of regenerating tropical moist forest

This repository contains the code and data for the paper 'The pan-tropical age distribution of regenerating tropical moist forest'. Bousfield, C.G., Edwards, D.P. The pan-tropical age distribution of regenerating tropical moist forest. Nat Ecol Evol (2025). https://doi.org/10.1038/s41559-025-02721-8 The analysis for this paper was done using a mixture of Google Earth Engine (GEE) and RStudio (4.4). The raster files for the age of regenerating tropical moist forest are supplied individually for each of the three tropical regions (Americas, Africa, Asia-Pacific) at 30m resolution, and represent the age of regenerating tropical moist forest (as per the JRC TMF) in each cell in the year 2023. The code to produce these datasets is available in GEE at: https://code.earthengine.google.com/aed2cb675ead0dc816e849f62f2fff8b The code to undertake random forest modelling in RStudio to identify predictors of regenerating forest age is available in this repository as: "Bousfield & Edwards, 2024, RF Modelling.R' Contact: Chris Bousfield - [e-mail]本仓库收录了论文《泛热带区域再生热带湿润林的年龄分布》的配套代码与数据集。 该论文作者为Bousfield, C.G.与Edwards, D.P.，发表于《自然·生态与进化（Nature Ecology & Evolution）》(2025)，DOI为10.1038/s41559-025-02721-8。 本研究的分析工作结合谷歌地球引擎（Google Earth Engine, GEE）与RStudio (4.4) 完成。 再生热带湿润林年龄的栅格数据集按三大热带区域（美洲、非洲、亚太地区）分别提供，空间分辨率为30米，表征2023年各栅格单元内的再生热带湿润林年龄（遵循JRC热带湿润林（JRC TMF）的定义标准）。 用于生成上述数据集的GEE代码可通过以下链接获取：https://code.earthengine.google.com/aed2cb675ead0dc816e849f62f2fff8b。 本仓库中还提供了在RStudio中开展随机森林建模、以筛选再生林年龄预测因子的代码，文件名为"Bousfield & Edwards, 2024, RF Modelling.R"。 联系方式：Chris Bousfield - [e-mail]