ANÁLISE FITOSSOCIOLÓGICA EM FLORESTA ESTACIONAL SEMIDECIDUAL NO IFES CAMPUS DE ALEGRE-ES

• Autor(a) principal: Machado de Oliveira Peluzio, Telma
• Data de Publicação: 2022
• Outros Autores: Esteves Peluzio, João Batista, Justino Zacarias, Alex, Martins Rainha, João Pedro, Maria Pedra de Abreu, Karla, Rosa dos Santos, Alexandre
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Eletrônica Debates em Educação Científica e Tecnológica
• Texto Completo: https://ojs.ifes.edu.br/index.php/ric/article/view/1541
• topic: Mata Atlântica; Ecossistemas; Fragmentação; Gradiente; Regeneração

The Atlantic Forest Biome, considered one of humanity's hotspots, is formed by several forest formations that are at risk of extinction. Based on the above, the objective is to compare the capacity of tree regeneration under different moisture conditions in a Seasonal Semideciduous Forest in the south of Espírito Santo. To survey the vegetation, the method of sampling in plots was used, in which 10 plots of 10 x 5 m were demarcated at random in Scenario 1 (wet) and Scenario 2 (dry). All individuals with height ≥ 50 cm and Diameter at Chest Height ≤ 2.5 cm were collected. The botanical material was collected, dried and identified with the help of specialized bibliography and circumscription according to APG IV. The phytosociological analysis was performed using the FITOPAC 2 application. The parameters evaluated were those proposed by Mueller-Dombois and Ellenberg, Shannon-Wiener diversity index, Pielou evenness, ecological group, analysis via descriptive statistics and determination of dispersion by the Index of Payandeh. The results of the survey in Scenario 1 and Scenario 2, make a total of 357 individuals distributed in 16 families and 45 species. Scenario 1, despite having fewer individuals than scenario 2, is richer, has better phytosociological indices, greater diversity and better representation than Scenario 2. Both scenarios are in an intermediate stage of succession and present an aggregated distribution pattern. The analysis via descriptive statistics demonstrates that Scenario 1 is more homogeneous and has a lower standard deviation.