PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer

Distinction between generating mechanisms of the spatial patterns of forest species – case study with Ocotea odorifera . The objective of this research was the understanding of the processes and generating mechanisms of the spatial distribution of Ocotea odorifera ,...

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Main Authors: Gustavo Sartori Pottker, Paulo Costa de Oliveira Filho, Afonso Figueiredo Filho, Cilmar Antônio Dalmaso
Format: Article
Language:Portuguese
Published: Universidade Federal de Santa Maria 2016-01-01
Series:Ciência Florestal
Online Access:http://www.redalyc.org/articulo.oa?id=53449110006
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spelling doaj-68bc2905d15841f2a19393a3562bcb472020-11-25T01:53:24ZporUniversidade Federal de Santa MariaCiência Florestal0103-99541980-50982016-01-0126410971106PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) RohwerGustavo Sartori PottkerPaulo Costa de Oliveira FilhoAfonso Figueiredo FilhoCilmar Antônio DalmasoDistinction between generating mechanisms of the spatial patterns of forest species – case study with Ocotea odorifera . The objective of this research was the understanding of the processes and generating mechanisms of the spatial distribution of Ocotea odorifera , discriminating influences of the environment from those arising due to interactions between individuals. For this, coordinates from species trees were taken in a region of 25 hectares of Mixed Rain Forest (FOM) sampled in the National Forest (FLONA) of Irati. These data, described as a spatial point process, were evaluated by two Spatial Statistics techniques. Initially, a Kernel intensity estimator verified the global patterns of trees dispersion in the sampled region, and posteriorly, the non-homogeneous Ripley’s K function was used to study the local patterns. It was verified that the species clusters were localized in the highest areas of the sampled region, possibly in better drained soils. Furthermore, attraction was found amongst the specie’s individuals, originating clusters in the largest scales analyzed, as shown by the non-homogeneous Ripley’s K function.http://www.redalyc.org/articulo.oa?id=53449110006
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Gustavo Sartori Pottker
Paulo Costa de Oliveira Filho
Afonso Figueiredo Filho
Cilmar Antônio Dalmaso
spellingShingle Gustavo Sartori Pottker
Paulo Costa de Oliveira Filho
Afonso Figueiredo Filho
Cilmar Antônio Dalmaso
PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
Ciência Florestal
author_facet Gustavo Sartori Pottker
Paulo Costa de Oliveira Filho
Afonso Figueiredo Filho
Cilmar Antônio Dalmaso
author_sort Gustavo Sartori Pottker
title PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
title_short PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
title_full PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
title_fullStr PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
title_full_unstemmed PADRÃO ESPACIAL DE ESPÉCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
title_sort padrão espacial de espécies florestais: estudo de caso com ocotea odorifera (vell.) rohwer
publisher Universidade Federal de Santa Maria
series Ciência Florestal
issn 0103-9954
1980-5098
publishDate 2016-01-01
description Distinction between generating mechanisms of the spatial patterns of forest species – case study with Ocotea odorifera . The objective of this research was the understanding of the processes and generating mechanisms of the spatial distribution of Ocotea odorifera , discriminating influences of the environment from those arising due to interactions between individuals. For this, coordinates from species trees were taken in a region of 25 hectares of Mixed Rain Forest (FOM) sampled in the National Forest (FLONA) of Irati. These data, described as a spatial point process, were evaluated by two Spatial Statistics techniques. Initially, a Kernel intensity estimator verified the global patterns of trees dispersion in the sampled region, and posteriorly, the non-homogeneous Ripley’s K function was used to study the local patterns. It was verified that the species clusters were localized in the highest areas of the sampled region, possibly in better drained soils. Furthermore, attraction was found amongst the specie’s individuals, originating clusters in the largest scales analyzed, as shown by the non-homogeneous Ripley’s K function.
url http://www.redalyc.org/articulo.oa?id=53449110006
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