<b>Statistic methods and population spatial structure: a comparative analyses</b> - DOI: 10.4025/actascitechnol.v28i2.1197

Authors

  • Matheus de Souza Lima-Ribeiro UFG Goiania, UFG Jataí­
  • Edno Cruz do Prado AGENCIA RURAL - GO

DOI:

https://doi.org/10.4025/actascitechnol.v28i2.1197

Keywords:

ecologia de populações, dinâmica populacional, distribuição de Poisson, distribuição Binomial Negativa, distribuição agregada, pico de variância

Abstract

This study aims to compare the results of spatial structure obtained between the classic and quadrat variance methods. Two species were analised, Vernonia aurea and Duguetia furfuracea. The Poisson distribution (random pattern), the Negative Binomial distribution (aggregate pattern), the BQV, TTLQV and PQV methods, the ratio variance:mean (I), the Green coefficient (Ig) and the Morisita´s index of dispersion (Im) were used to detect the populations spatial pattern. An aggregated spatial pattern distribution was detected through both methodologies, with similar results as for the aggregation level and the complementation of the information in different scales between classic and quadrat variance methods. Thus, the utilization of these statistic methods in studies of the spatial structure is recommended, given that tests are robust and complementary and field data samples are easy to collect

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Author Biography

Matheus de Souza Lima-Ribeiro, UFG Goiania, UFG Jataí­

Possui graduação em Ciências Biológicas Bacharelado em Biologia pela Universidade Federal de Goiás (2002) e mestrado em Ecologia e Evolução pela Universidade Federal de Goiás (2006). Atualmente é professor assistente da Universidade Federal de Goiás, Campus de Jataí­. Tem experiência na área de Ecologia, com ênfase em Macroecologia e Paleoecologia-Palinologia, atuando principalmente nos seguintes temas: ecologia e evolução do cerrado Currí­culo Lattes

Published

2008-03-20

How to Cite

Lima-Ribeiro, M. de S., & Prado, E. C. do. (2008). <b>Statistic methods and population spatial structure: a comparative analyses</b> - DOI: 10.4025/actascitechnol.v28i2.1197. Acta Scientiarum. Technology, 28(2), 219–224. https://doi.org/10.4025/actascitechnol.v28i2.1197

Issue

Section

Statistics