Influence of the soil on the spatial structure of forest species – preliminary results in a terra firme secondary forest plot, Amapá, Brazil

Santos, Ronaldo Oliveira dos; Lima, Róbson Borges de; Soares, Rubiene Neto; Dantas, Bruno de Souza; Brito, Adriano Castro de; Cordeiro, M.; Abreu, Jadson Coelho de; Silva, Breno Marques da Silva e

doi:10.2989/20702620.2020.1759294

Cited by 1 publication

(1 citation statement)

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“…Despite all limitations, the great advantage of the indices discussed in this study is the simplicity of sampling and interpretation when describing the spatial distribution pattern through a simple value (Erfanifard et al, 2016;Szmyt, 2014). This easiness very likely accounts for the great amount of works found in recent scientific literature that use at least one of the dispersion indices and coefficients that were analyzed in this study (Bastos et al, 2018;Bidarnamani & Shabanipoor, 2018;Butturi-Gomes & Petrere Júnior, 2020;dos Santos et al, 2020;Hern andez et al, 2018;Park et al, 2018;Piroozi et al, 2018;Sasaki et al, 2019;Siahaan, Hilwan, & Setiawan, 2019;Sousa & Cunha, 2018;Utami et al, 2019).…”

Section: About the Use Or Disuse Of Dispersion Indicesmentioning

confidence: 93%

Why do traditional dispersion indices used for analysis of spatial distribution of plants tend to become obsolete?

Alves

Santana

2021

Population Ecology

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It is common to characterize the spatial distribution of plant patterns as random, aggregate, or uniform. In this context, a major challenge for the researcher is the choice of the method to identify the spatial pattern correctly as well as the factors related to it. The vast literature on the subject is not recent, especially regarding the dispersion indices. The aim of this review was to conduct a critical and temporal analysis of these dispersion indices and test their effectiveness in determining the spatial distribution of Paepalanthus chiquitensis Herzog (Eriocaulaceae). This species is a meaningful model due to its occurrence in specific sites. The Lexis, Charlier, dispersion, relative variance, aggregation, Green, inverse of k of the negative binomial, Morisita, and standardized Morisita indices were limited to indicating that the individuals of the species are aggregate and did not provide information on neither spatial dimension (scale) where the aggregation occurs, nor the factors related to this aggregation. Although they have distinct magnitudes, the algebraic expressions of dispersion, relative variance, aggregation, Green, inverse of k, Morisita, and standardized Morisita indices exhibited a close relationship with each other and little progress from their precursors Lexis and Charlier. By disregarding the possibility of spatial dependence, these indices make it impossible to generate important hypotheses for the investigation of factors related to spatial structure. Therefore, they became obsolete and are falling into disuse. It should be noted that these measurements accomplished their role and contributed to science in times of limited technologies for spatial data.

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