Fonte: Trees. Unidades: Interunidades em Ecologia Aplicada, Interinstitucional de Pós-Graduação em Estatística
Assuntos: FLORESTAS, URBANIZAÇÃO, ESTATÍSTICAS ESPACIAIS
ABNT
ROSSONI, Diogo Francisco et al. The urban forest at risk: unveiling windstorm-induced tree fall patterns through spatial and machine learning analyses in a medium-large city in Southern Brazil. Trees, v. 39, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.1007/s00468-025-02678-y. Acesso em: 23 nov. 2025.APA
Rossoni, D. F., Francisco, Í. da C., Broi Junior, C. C. da, Batista, V. S., Lucca, R. M., & Sampaio, M. B. (2025). The urban forest at risk: unveiling windstorm-induced tree fall patterns through spatial and machine learning analyses in a medium-large city in Southern Brazil. Trees, 39, 1-16. doi:10.1007/s00468-025-02678-yNLM
Rossoni DF, Francisco Í da C, Broi Junior CC da, Batista VS, Lucca RM, Sampaio MB. The urban forest at risk: unveiling windstorm-induced tree fall patterns through spatial and machine learning analyses in a medium-large city in Southern Brazil [Internet]. Trees. 2025 ; 39 1-16.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/s00468-025-02678-yVancouver
Rossoni DF, Francisco Í da C, Broi Junior CC da, Batista VS, Lucca RM, Sampaio MB. The urban forest at risk: unveiling windstorm-induced tree fall patterns through spatial and machine learning analyses in a medium-large city in Southern Brazil [Internet]. Trees. 2025 ; 39 1-16.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/s00468-025-02678-y
