THE RELATIONSHIP BETWEEN RELIEF AND CLIMATE AS PROPOSITION OF CHARACTERIZATION OF LANDSCAPE PHYSIOLOGY IN PERNAMBUCO, BRAZIL

Detalhes bibliográficos
Autor(a) principal: Albuquerque, Lucas Suassuna de
Data de Publicação: 2019
Outros Autores: Nóbrega, Ranyére Silva, Moreira, Wanderley Ayobami Badiru, Menezes, Rômulo Simões Cézar
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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spelling 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
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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
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