Comparação entre procedimentos de amostragem de espécies florestais com raridade geográfica e padrões de distribuição agregado

• Ano de defesa: 2006
• Autor(a) principal: Rodello, Christian Marques
• Orientador(a): Soares, Carlos Pedro Boechat
• Banca de defesa: Soares, Vicente Paulo , Silva, Gilson Fernandes da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Ciência Florestal
• Departamento: Manejo Florestal; Meio Ambiente e Conservação da Natureza; Silvicultura; Tecnologia e Utilização de
• País: BR
• Palavras-chave em Português: Amostragem adaptativa; Espécies raras; Procedimentos de amostragem
• Palavras-chave em Inglês: Adaptative sampling; Forest rare species; Sampling procedures
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL::MANEJO FLORESTAL
• Link de acesso: http://locus.ufv.br/handle/123456789/3067

The objective of this work was to evaluate the procedure of adaptive sampling used in forest inventories for species with low population density and aggregated spatial distribution pattern, in relation to procedures normally used in forest inventories. Thus, a population was simulated in a 9.0 ha forest, subdivided into 100 units (N = 100) of 900 m² of area each, presenting 44 individuals of a given species, and submitted to three sampling procedures: simple random sampling; systematic sampling and adaptive cluster sampling, with samples being initially selected through simple random sampling and systematic sampling. All the analyzed sampling procedures presented inexact estimates of the total number of individuals, regardless of sample size. Adaptive cluster sampling, with initial sample considering simple random sampling and systematic sampling, supplied a slightly more precise estimate of the total number of individuals, compared with those obtained by simple random sampling and systematic sampling. However, there was a tendency to underestimate the total number of individuals. Considering all the sampling procedures analyzed, systematic sampling presented the best performance since it supplied exact estimates of the total number of individuals. It was also concluded that further efforts should be made to investigate the effect of plot size and shape, aggregation scale and population size, as well as their combinations, on the efficiency and behavior of the adaptive sampling estimators.