THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Geo UERJ |
Texto Completo: | https://www.e-publicacoes.uerj.br/geouerj/article/view/40942 |
Resumo: | The expressive environmental diversity and topographical variations throughout the state of Pernambuco (Brazil) territory suggest that its landscape spatial pattern is influenced by the relation between atmospheric dynamics and relief features. In order to investigate the weight of this relation on the landscapes spatial distribution, five methodological steps were performed: 1) climatic classification based on aridity index; 2) altitude, climate and vegetation mapping for the state of Pernambuco; 3) delimitation of profiles from climatic and altitude maps; 4) Linear regression analysis on profiles data; and 5) Elaboration of landscaping profiles based on altitude, climate and vegetation data. Results demonstrated that the comparison between spatial distribution and altitude data do not occur linearly in all profiles. The linear regression model shows a better predictability for Sertão and São Francisco mesoregions profiles. The low linear predictability shown in Agreste mesoregion was related to the existence of a more complex relief, and in the Metropolitan Region of Recife and Zona da Mata microregions, the atmospheric dynamics systems favored an increase of aridity while distancing from the coast. It can therefore be concluded that there is a strong relation between relief and the spatial distribution of landscapes in most of the state of Pernambuco, especially in the Sertão mesoregion. |
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THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZILA RELAÇÃO ENTRE O RELEVO E O CLIMA COMO PROPOSIÇÃO DE CARACTERIZAÇÃO DA FISIOLOGIA DA PAISAGEM EM PERNAMBUCO, BRASILclima. índice de aridez. relevo. paisagens. Pernambucoclimate. aridity index. relief. landscape. PernambucoThe expressive environmental diversity and topographical variations throughout the state of Pernambuco (Brazil) territory suggest that its landscape spatial pattern is influenced by the relation between atmospheric dynamics and relief features. In order to investigate the weight of this relation on the landscapes spatial distribution, five methodological steps were performed: 1) climatic classification based on aridity index; 2) altitude, climate and vegetation mapping for the state of Pernambuco; 3) delimitation of profiles from climatic and altitude maps; 4) Linear regression analysis on profiles data; and 5) Elaboration of landscaping profiles based on altitude, climate and vegetation data. Results demonstrated that the comparison between spatial distribution and altitude data do not occur linearly in all profiles. The linear regression model shows a better predictability for Sertão and São Francisco mesoregions profiles. The low linear predictability shown in Agreste mesoregion was related to the existence of a more complex relief, and in the Metropolitan Region of Recife and Zona da Mata microregions, the atmospheric dynamics systems favored an increase of aridity while distancing from the coast. It can therefore be concluded that there is a strong relation between relief and the spatial distribution of landscapes in most of the state of Pernambuco, especially in the Sertão mesoregion.A expressiva diversidade ambiental e as variações topográficas ao longo do território do estado de Pernambuco (Brasil) sugerem que o padrão espacial das paisagens seja influenciado pela relação entre a dinâmica atmosférica e o relevo. Com objetivo de investigar a influência dessa relação sobre a distribuição espacial das paisagens foram executadas cinco etapas metodológicas: 1) classificação climática com base no índice de aridez, 2) elaboração de mapas de altitude, climático e de vegetação para o estado de Pernambuco, 3) delimitação de perfis a partir dos mapas climáticos e de altitude, 4) Análise de regressão linear entre os dados inseridos nos perfis e 5) elaboração de perfis paisagísticos com base nos dados de altitude, clima e vegetação. Os resultados demonstraram que a relação entre a distribuição espacial dos climas e os dados de altitude não ocorre de maneira linear em todos os perfis. O modelo de regressão linear apresentou maior previsibilidade para os perfis localizados nas mesorregiões do Sertão e do São Francisco. No Agreste a baixa previsibilidade linear foi relacionada à existência de relevo mais complexo, já na Região Metropolitana do Recife e Zona da Mata, a dinâmica dos sistemas atmosféricos atuantes favorece um aumento da aridez com o distanciamento do oceano. Pode-se, portanto, concluir que há uma forte relação entre o relevo e a distribuição espacial das paisagens na maior parte do estado de Pernambuco, principalmente na mesorregião do Sertão.Universidade do Estado do Rio de Janeiro2019-04-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.e-publicacoes.uerj.br/geouerj/article/view/4094210.12957/geouerj.2019.40942Geo UERJ; n. 34 (2019): Jan/Jun - Dossiê de Climatologia da ABClima; e409421981-90211415-7543reponame:Geo UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJporhttps://www.e-publicacoes.uerj.br/geouerj/article/view/40942/29121Copyright (c) 2019 Ranyére Silva Nóbrega, Lucas Suassuna de Albuquerque, Wanderley Ayobami Badiru Moreira, Rômulo Simões Cézar Menezesinfo:eu-repo/semantics/openAccessAlbuquerque, Lucas Suassuna deNóbrega, Ranyére SilvaMoreira, Wanderley Ayobami BadiruMenezes, Rômulo Simões Cézar2022-02-20T22:08:37Zoai:ojs.www.e-publicacoes.uerj.br:article/40942Revistahttps://www.e-publicacoes.uerj.br/index.php/geouerjPUBhttps://www.e-publicacoes.uerj.br/index.php/geouerj/oaitunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com1981-90211415-7543opendoar:2022-02-20T22:08:37Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL A RELAÇÃO ENTRE O RELEVO E O CLIMA COMO PROPOSIÇÃO DE CARACTERIZAÇÃO DA FISIOLOGIA DA PAISAGEM EM PERNAMBUCO, BRASIL |
title |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL |
spellingShingle |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL Albuquerque, Lucas Suassuna de clima. índice de aridez. relevo. paisagens. Pernambuco climate. aridity index. relief. landscape. Pernambuco |
title_short |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL |
title_full |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL |
title_fullStr |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL |
title_full_unstemmed |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL |
title_sort |
THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL |
author |
Albuquerque, Lucas Suassuna de |
author_facet |
Albuquerque, Lucas Suassuna de Nóbrega, Ranyére Silva Moreira, Wanderley Ayobami Badiru Menezes, Rômulo Simões Cézar |
author_role |
author |
author2 |
Nóbrega, Ranyére Silva Moreira, Wanderley Ayobami Badiru Menezes, Rômulo Simões Cézar |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Albuquerque, Lucas Suassuna de Nóbrega, Ranyére Silva Moreira, Wanderley Ayobami Badiru Menezes, Rômulo Simões Cézar |
dc.subject.por.fl_str_mv |
clima. índice de aridez. relevo. paisagens. Pernambuco climate. aridity index. relief. landscape. Pernambuco |
topic |
clima. índice de aridez. relevo. paisagens. Pernambuco climate. aridity index. relief. landscape. Pernambuco |
description |
The expressive environmental diversity and topographical variations throughout the state of Pernambuco (Brazil) territory suggest that its landscape spatial pattern is influenced by the relation between atmospheric dynamics and relief features. In order to investigate the weight of this relation on the landscapes spatial distribution, five methodological steps were performed: 1) climatic classification based on aridity index; 2) altitude, climate and vegetation mapping for the state of Pernambuco; 3) delimitation of profiles from climatic and altitude maps; 4) Linear regression analysis on profiles data; and 5) Elaboration of landscaping profiles based on altitude, climate and vegetation data. Results demonstrated that the comparison between spatial distribution and altitude data do not occur linearly in all profiles. The linear regression model shows a better predictability for Sertão and São Francisco mesoregions profiles. The low linear predictability shown in Agreste mesoregion was related to the existence of a more complex relief, and in the Metropolitan Region of Recife and Zona da Mata microregions, the atmospheric dynamics systems favored an increase of aridity while distancing from the coast. It can therefore be concluded that there is a strong relation between relief and the spatial distribution of landscapes in most of the state of Pernambuco, especially in the Sertão mesoregion. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-15 |
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://www.e-publicacoes.uerj.br/geouerj/article/view/40942 10.12957/geouerj.2019.40942 |
url |
https://www.e-publicacoes.uerj.br/geouerj/article/view/40942 |
identifier_str_mv |
10.12957/geouerj.2019.40942 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.e-publicacoes.uerj.br/geouerj/article/view/40942/29121 |
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 do Estado do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
dc.source.none.fl_str_mv |
Geo UERJ; n. 34 (2019): Jan/Jun - Dossiê de Climatologia da ABClima; e40942 1981-9021 1415-7543 reponame:Geo UERJ instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UERJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UERJ |
institution |
UERJ |
reponame_str |
Geo UERJ |
collection |
Geo UERJ |
repository.name.fl_str_mv |
Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
tunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com |
_version_ |
1799317529573720064 |