Dataset Accompanying the Study by Boeschoten et al. 'All reforestation methods can support tropical tree diversity recovery, but drivers and species composition vary'
Abstract
This Zenodo repository contains the processed dataset used in the research paper titled "All reforestation methods can support tropical tree diversity recovery, but drivers and species composition vary" Global Change biology (2026) (https://doi.org/10.1111/gcb.70721). In this study, we present the first comprehensive comparison of tree diversity restoration and the drivers of recovery across five main reforestation methods (naturally regenerating forests, biodiverse restoration plantings, short- and long-rotation tree monocultures, agroforests) relative to three reference systems (agropastoral lands, degraded and conserved forest remnants). Key Finding: Tree diversity levels comparable to those in conserved and degraded forest remnants occur across most reforestation methods; however, similar species composition was observed only in naturally regenerating forests.
Fields of Study & Subjects
Ecology and Vegetation Dynamics Studies
Conservation
Biodiversity
and Resource Management
Seedling growth and survival studies
Publication details
- Journal / source
- Socio-Environmental Systems Modeling
- Publication date
- 14 January 2026
- Document type
- Dataset