Influência do uso e cobertura do solo na distribuição de plantas aquáticas na transição Cerrado-Amazônia

• Ano de defesa: 2020
• Autor(a) principal: Pommer, Kelin Cristina Miorando
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Mato Grosso; Brasil; Instituto de Ciências Naturais, Humanas e Sociais (ICNHS) – Sinop; UFMT CUS - Sinop; Programa de Pós-Graduação em Ciências Ambientais
• Palavras-chave em Português: Ambiente úmido; Atividades antropogênicas; Comunidade vegetal ripária; Ecologia da paisagem; Sensoriamento remoto; CNPQ::OUTROS::CIENCIAS; Moist environment; Anthropogenic activities; Riparian plant community; Landscape ecology; Remote sensing
• Link de acesso: http://ri.ufmt.br/handle/1/4990

Aquatic plants are important regulators of the ecosystem, being able to adapt easily to the most diverse types of moist environments. The present work analyzed the influence of land use and cover on the distribution of aquatic plants in the Cerrado-Amazon transition, aiming to determine variations in the descriptors of the aquatic plant community, richness and composition according to the variations in land use and cover. The plots were distributed along the river, as well as in marginal lagoons and tributary streams. They were carried out between 2015 and 2019 quarterly, totaling 16 campaigns of collection. To relate the use and cover of the soil, we work with the images of the sampling points already classified through the Mapbiomas website. The classes of land use and cover considered were areas of dense forest, non-forested area, agricultural area and water body around the sampling points, within buffers of 100, 300, 500, 700, 900 and 2000. In the species composition, we observed a pattern of species substitution along the gradients of land use and cover, even though the statistical model was not able to capture the effect. The richness of aquatic plants was explained by all classes of land use and cover analyzed, being most evident in the relation with agricultural areas, where we observed a significant increase in richness due to the increase in agricultural areas. In this way, our hypothesis was partially corroborated, with richness being the descriptor that best related to land use parameters.