Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/29072
Title: Métodos de processos pontuais para análise de interação entre árvores de espécies nativas da amazônia
Other Titles: Methods of point processes for analysis of interaction among trees of native species of the amazon
Authors: Scalon, João Domingos
Oliveira , Anderson Castro Soares de
Mello , José Márcio de
Lima , Renato Ribeiro de
Keywords: Configurações pontuais
Manejo florestal
Testes de hipóteses
Método de Monte Carlo
Processos estocásticos
Point pattern
Forest management
Hypothesis testing
Monte Carlo Method
Stochastic processes
Issue Date: 19-Apr-2018
Publisher: Universidade Federal de Lavras
Citation: ALMEIDA, E. M. de. Métodos de processos pontuais para análise de interação entre árvores de espécies nativas da amazônia. 2018. 65 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária)–Universidade Federal de Lavras, Lavras, 2018.
Abstract: Understanding the spatial patterns of native trees, with so many species that can coexist in tree communities is a relevant challenge for Biologists and Forest Engineers. Point process methods are the standard tools to analyze the spatial distribution of tree species. The Ripley's K function is one of the most popular techniques in the analysis of spatial point processes since it allows detecting spatial interactions at different scales. Nevertheless, the K-function characterizes only the second-order property of the stochastic process that generated the point pattern. In addition, other functions can be applied to characterize the second-order properties, such as the J-function, which has been less popular in the forestry. The use of the K and J functions, without prior analysis of the first-order effects, can lead into incoherent results. First and second-order analyzes can be performed in both unmarked (single species trees) and marked (trees of different species) configurations. Once the first and second-order properties are characterized, spatial stochastic models can be fitted for a complete characterization of the spatial point pattern. In the same way, the aim of the present work is to use spatial point process methods to characterize the spatial distributions of cumaru-ferro, garapeira and sumaúma species of the Brazilian Amazonian native forest, located in Canary Farm, Bujari, Acre. The results showed that all species present cluster patterns of trees. Poisson cluster stochastic models were successfully fitted for the garapeira and sumaúma species, which allowed a complete characterization of the spatial distribution of the trees of these species in the study region. Bivariate point pattern analyzes have shown that trees of different species tend to repel each other. Finally, the results showed that with the appropriate use of spatial point process methods is possible to characterize the complex spatial interactions that exist among species of native forest trees.
URI: http://repositorio.ufla.br/jspui/handle/1/29072
Appears in Collections:Estatística e Experimentação Agropecuária - Mestrado (Dissertações)



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