High-diversity Atlantic Forest restoration plantings fail to represent local floras
Year: 2024
Type: article
Abstract: One goal of ecological restoration is species conservation, so selecting tree species from local floras in restoration plantings is important to restore native species populations and avoid biotic homogenization. We evaluated if species planted to restore the Brazilian Atlantic Forest adequately represent the tree flora from local reference forests, comparing the tree seedlings selected for 1,073 restoration plantings with inventory data from 268 forest remnants, for three different Atlantic Forest types. We compared the floristic composition between plantings and remnants and calculated the Jaccard dissimilarity index to assess beta diversity among plantings, among remnants, and between plantings and remnants. Overall, plantings have lower beta diversity and higher nestedness than remnants. Furthermore, plantings form a single floristic group while remnants are split into three forest types. Plantings are more floristically similar to one another than to regional remnant forest types. Tree species selected for Atlantic Forest restoration poorly represent local floras, which could favor biotic homogenization. Incentivizing greater representation of local floras and threatened and endemic species is needed for forest restoration to facilitate biodiversity recovery at large spatial scales.
Institutions: Virginia Tech, Universidade Federal de São Carlos
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
Funders: Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina
OpenAlex ID: W4405124951
