Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/58350
Título: Caracterização da dinâmica e biomassa de hotspots mundiais para conservação
Título(s) alternativo(s): Dynamics and biomass characterization of global hotspots for conservation
Autores: Mello, José Márcio de
Terra, Marcela de Castro Nunes Santos
Mello, José Márcio de
Acerbi Junior, Fausto Weimar
Rocha, Samuel José Silva Soares da
Rodrigues, André Ferreira
Terra, Marcela de Castro Nunes Santos
Palavras-chave: Biomassa acima do solo
Sensoriamento remoto
Dinâmica da comunidade arbórea
Comunidade arbórea
Comunidades vegetais
Aboveground biomass
Remote sensing
Tree community dynamics
Arboreal community
Plant communities
Data do documento: 15-Set-2023
Editor: Universidade Federal de Lavras
Citação: CORDEIRO, N. G. Caracterização da dinâmica e biomassa de hotspots mundiais para conservação. 2023. 232 p. Tese (Doutorado em Engenharia Florestal)–Universidade Federal de Lavras, Lavras, 2023.
Resumo: The natural forests provide habitat to a great diversity of animal and plant species, and for that, are of importance in social, environmental, and economic aspects. Over the last decades, ecosystems fragmentation has increased due to urbanization, industrialization, human pressures, deforestation, and unsustainable use of natural resources. The environments' fragmentation into small forest patches has led to a loss of biodiversity and extinction of rare and endemic species. In addition to anthropic pressures, extreme climate events have also been identified as potential risk in forest growth and structure. Overall, global hotspots such as the Atlantic Forest and Cerrado play vital roles in providing ecosystem services and conserving the environment. Therefore, our study aims to evaluate tree dynamics, biomass, and their respective drivers in areas of the Atlantic Forest and Cerrado in southeastern Brazil. First, we carried out a characterization of an Atlantic Forest remnant over a 30-year measurement interval. We calculated the aboveground biomass, basal area, and analyzed the forest structure and composition. Then, we used optical and radar sensors' products, including texture parameters, to predict the aboveground biomass in an Atlantic Forest remnant. Finally, we used terrain, soil and climate variables to model the pattern of vegetation dynamics rates in Cerrado areas. Our results showed remote sensing data as good predictors of aboveground biomass in the Atlantic Forest area. Furthermore, texture parameters derived from optical and radar data, while considering the region climatic seasonality, allow inferring as the vegetation status. Also, our findings indicate that tree community dynamics in Cerrado areas are mainly driven by terrain variables. These areas tend to show a greater gain in number of individuals and basal area depending on water availability. The world's hotspots have great relevance in the conservation of biodiversity and providing ecosystem services. Thus, understanding the pattern, structures and biomass of these areas provides insights to the elaboration of conservation and maintenance strategies for these environments.
Descrição: Arquivo retido, a pedido da autora, até setembro de 2025.
URI: http://repositorio.ufla.br/jspui/handle/1/58350
Aparece nas coleções:Engenharia Florestal - Doutorado (Teses)

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