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 ,...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-68bc2905d15841f2a19393a3562bcb47 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT gustavosartoripottker padraoespacialdeespeciesflorestaisestudodecasocomocoteaodoriferavellrohwer AT paulocostadeoliveirafilho padraoespacialdeespeciesflorestaisestudodecasocomocoteaodoriferavellrohwer AT afonsofigueiredofilho padraoespacialdeespeciesflorestaisestudodecasocomocoteaodoriferavellrohwer AT cilmarantoniodalmaso padraoespacialdeespeciesflorestaisestudodecasocomocoteaodoriferavellrohwer |
_version_ |
1724991185666179072 |