USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | GeoTextos (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/geotextos/article/view/44861 |
Resumo: | This study aimed to evaluate the current distribution pattern of Caatinga dense by identifying where its largest fragments are through cartographic and statistical procedures in the municipality of Caicó-RN. From NDVI, the mapping of the vegetation cover was generated and, then, three intervals of altimetric dimensions were delimited, making it possible to draw a gradual profile. The fragments of Caatinga densa in the different levels were submitted to ANOVA and Tukey test establishing a significance of 5% (p <0.05), aiming to identify if there is a significant difference between the sizes of these fragments. Finally, with the help of specialized bibliography and field trips, a floristic survey was also carried out to characterize the different levels sampled. As a result, As a result, at the lowest elevation level, 5,169.54ha was obtained, with the average elevation, 2,850.20ha and 1,753.08ha for the highest altimetry. In proportional terms in relation to the total area of each quota, it was precisely the latter that presented the largest area occupied by dense vegetation. A significant difference was identified between this level and the first one, due to the sizes of th fragments. With regard to flora, the most selective species are in the upper levels, with the exception of areas of riparian forest at the lowest altimetry where generalist species predominate. In this work, it was statistically proven that the dense Caatinga is very restricted to the margins of water bodies and massifs, presenting a gradual increase in altimetric terms. |
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USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZILUtilização de índice espectral na distribuição espacial da Caatinga densa do município de Caicó, Rio Grande do Norte-BrasilAnálise EspacialSensoriamento RemotoVegetaçãoFitogeografiaFlorísticaSpatial AnalysisRemote SensingVegetationPhytogeographyFloristicThis study aimed to evaluate the current distribution pattern of Caatinga dense by identifying where its largest fragments are through cartographic and statistical procedures in the municipality of Caicó-RN. From NDVI, the mapping of the vegetation cover was generated and, then, three intervals of altimetric dimensions were delimited, making it possible to draw a gradual profile. The fragments of Caatinga densa in the different levels were submitted to ANOVA and Tukey test establishing a significance of 5% (p <0.05), aiming to identify if there is a significant difference between the sizes of these fragments. Finally, with the help of specialized bibliography and field trips, a floristic survey was also carried out to characterize the different levels sampled. As a result, As a result, at the lowest elevation level, 5,169.54ha was obtained, with the average elevation, 2,850.20ha and 1,753.08ha for the highest altimetry. In proportional terms in relation to the total area of each quota, it was precisely the latter that presented the largest area occupied by dense vegetation. A significant difference was identified between this level and the first one, due to the sizes of th fragments. With regard to flora, the most selective species are in the upper levels, with the exception of areas of riparian forest at the lowest altimetry where generalist species predominate. In this work, it was statistically proven that the dense Caatinga is very restricted to the margins of water bodies and massifs, presenting a gradual increase in altimetric terms.Este trabalho objetivou avaliar o padrão atual de distribuição de Caatinga densa, identificando onde estão seus maiores fragmentos, através de procedimentos cartográficos e estatísticos no município de Caicó-RN. A partir de NDVI, gerou-se o mapeamento da cobertura vegetal e, em seguida, delimitou-se três intervalos de cotas altimétricas possibilitando-se traçar um perfil gradual. Os fragmentos de Caatinga densa foram submetidos a ANOVA e teste Tukey, estabelecendo uma significância de p<0,05, identificando se há diferença significativa entre os tamanhos desses fragmentos. Foi realizado um levantamento florístico visando a caracterizar as diferentes cotas amostradas. Como resultado, na cota de menor altimetria obteve-se 5.169,54ha, com a cota média, 2.850,20ha, e 1.753,08ha, para a maior altimetria. Em termos proporcionais com relação à área total de cada cota, foi justamente esta última que apresentou maior área ocupada por vegetação densa. Foi identificada diferença significativa entre esta cota e a primeira, mediante os tamanhos dos fragmentos. No tocante à flora, as espécies mais seletivas estão nas cotas superiores, com exceção das áreas de mata ciliar na menor altimetria onde predominam espécies generalistas. Neste trabalho foi comprovado estatisticamente que a Caatinga densa encontra-se bastante restrita às margens de corpos hídricos e em maciços, apresentando aumento gradual em termos altimétricos.Universidade Federal da Bahia2021-12-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/geotextos/article/view/4486110.9771/geo.v17i2.44861GeoTextos; Vol. 17, N. 2 (dezembro de 2021)1984-55371809-189Xreponame:GeoTextos (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/geotextos/article/view/44861/25654Copyright (c) 2021 Paulo Jerônimo Lucena Oliveira, Carlos Roberto Silva Filho, Diógenes Félix Silva Costainfo:eu-repo/semantics/openAccessOliveira, Paulo Jerônimo LucenaSilva Filho, Carlos RobertoCosta, Diógenes Félix Silva2021-12-13T12:09:57Zoai:ojs.periodicos.ufba.br:article/44861Revistahttps://periodicos.ufba.br/index.php/geotextosPUBhttps://periodicos.ufba.br/index.php/geotextos/oaiangeloserpa@hotmail.com||rodrigomei@hotmail.com1984-55371809-189Xopendoar:2021-12-13T12:09:57GeoTextos (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL Utilização de índice espectral na distribuição espacial da Caatinga densa do município de Caicó, Rio Grande do Norte-Brasil |
title |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL |
spellingShingle |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL Oliveira, Paulo Jerônimo Lucena Análise Espacial Sensoriamento Remoto Vegetação Fitogeografia Florística Spatial Analysis Remote Sensing Vegetation Phytogeography Floristic |
title_short |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL |
title_full |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL |
title_fullStr |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL |
title_full_unstemmed |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL |
title_sort |
USE OF SPECTRAL INDEX IN THE SPATIAL DISTRIBUTION OF DENSE CAATINGA IN THE MUNICIPALITY OF CAICÓ, RIO GRANDE DO NORTE- BRAZIL |
author |
Oliveira, Paulo Jerônimo Lucena |
author_facet |
Oliveira, Paulo Jerônimo Lucena Silva Filho, Carlos Roberto Costa, Diógenes Félix Silva |
author_role |
author |
author2 |
Silva Filho, Carlos Roberto Costa, Diógenes Félix Silva |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Oliveira, Paulo Jerônimo Lucena Silva Filho, Carlos Roberto Costa, Diógenes Félix Silva |
dc.subject.por.fl_str_mv |
Análise Espacial Sensoriamento Remoto Vegetação Fitogeografia Florística Spatial Analysis Remote Sensing Vegetation Phytogeography Floristic |
topic |
Análise Espacial Sensoriamento Remoto Vegetação Fitogeografia Florística Spatial Analysis Remote Sensing Vegetation Phytogeography Floristic |
description |
This study aimed to evaluate the current distribution pattern of Caatinga dense by identifying where its largest fragments are through cartographic and statistical procedures in the municipality of Caicó-RN. From NDVI, the mapping of the vegetation cover was generated and, then, three intervals of altimetric dimensions were delimited, making it possible to draw a gradual profile. The fragments of Caatinga densa in the different levels were submitted to ANOVA and Tukey test establishing a significance of 5% (p <0.05), aiming to identify if there is a significant difference between the sizes of these fragments. Finally, with the help of specialized bibliography and field trips, a floristic survey was also carried out to characterize the different levels sampled. As a result, As a result, at the lowest elevation level, 5,169.54ha was obtained, with the average elevation, 2,850.20ha and 1,753.08ha for the highest altimetry. In proportional terms in relation to the total area of each quota, it was precisely the latter that presented the largest area occupied by dense vegetation. A significant difference was identified between this level and the first one, due to the sizes of th fragments. With regard to flora, the most selective species are in the upper levels, with the exception of areas of riparian forest at the lowest altimetry where generalist species predominate. In this work, it was statistically proven that the dense Caatinga is very restricted to the margins of water bodies and massifs, presenting a gradual increase in altimetric terms. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufba.br/index.php/geotextos/article/view/44861 10.9771/geo.v17i2.44861 |
url |
https://periodicos.ufba.br/index.php/geotextos/article/view/44861 |
identifier_str_mv |
10.9771/geo.v17i2.44861 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/geotextos/article/view/44861/25654 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
GeoTextos; Vol. 17, N. 2 (dezembro de 2021) 1984-5537 1809-189X reponame:GeoTextos (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
GeoTextos (Online) |
collection |
GeoTextos (Online) |
repository.name.fl_str_mv |
GeoTextos (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
angeloserpa@hotmail.com||rodrigomei@hotmail.com |
_version_ |
1797221576300560384 |