Beauty before age: landscape factors influence bird functional diversity in naturally regenerating fragments, but regeneration age does not

Autor(es)

Dias, Davi F. C. ^[1] ; Ribeiro, Milton C. ^[2] ; Felber, Yan T. ^[1] ; Cintra, Ana L. P. ^[1] ; de Souza, Natalia S. ^[1] ; Hasui, Erica ^[1]

Afiliação do(s) autor(es)

^[1] Fed Univ Alfenas UNIFAL MG, Inst Nat Sci, Lab Forest Fragment Ecol, Rua Gabriel Monteiro da Silva 700, BR-37130000 Alfenas, MG - Brazil

^[2] Univ Estadual Paulista Julio de Mesquita, Inst Biosci, Spatial Ecol & Conservat Lab LEEC, BR-13506900 Rio Claro - Brazil

• Tipo de documento: Artigo Científico
• Fonte: RESTORATION ECOLOGY; v. 24, n. 2, p. 259-270, MAR 2016.
• Citações Web of Science: 1

Resumo

Effective ecological restoration actions should be able to recover ecosystem processes that influence community development in the long term. However, there is scarce information on how landscape factors promote or accelerate fauna recovery. We used a landscape framework to evaluate how functional groups respond to natural regeneration in a highly fragmented region of Atlantic Forest. Using bird functional groups sampled in 15 regenerating forest fragments, we built and ranked models using a model selection approach to test the relative effect of landscape variables on each group. Our results showed that bird community recovery is not determined by the duration of the regeneration process (i.e. forest age), but by how the species responds to the landscape context. Functional diversity and the abundance of the functional groups were mainly related to composition metrics, whereas the functional metric affected only specific groups. Our findings highlight the importance of considering the landscape level to ensure both the colonization of fauna and the restoration of ecological functions. (AU)

• Processo FAPESP: 13/50421-2 - Novos métodos de amostragem e ferramentas estatísticas para pesquisa em biodiversidade: integrando ecologia de movimento com ecologia de população e comunidade
• Beneficiário: Milton Cezar Ribeiro
• Modalidade de apoio: Auxílio à Pesquisa - Regular