Dataset Accompanying the Study by Boeschoten et al. 'All reforestation methods can support tropical tree diversity recovery, but drivers and species composition vary'

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Authors: Laura E. Boeschoten, Joannès Guillemot, Juliano van Melis, Lourens Poorter, Ricardo Ribeiro Rodrigues, Frans Bongers, Paulo Guilherme Molin, Marielos Peña‐Claros, Souza, Vinicius, Cassio Toledo, Patrick Faria Fernandes, Marcelo P. Ferreira
+5 more Angélica F. Resende, Laura Helena Porcari Simões, Catherine Torres de Almeida, María Uriarte, Pedro H. S. Brancalion
Cited by: 0

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