Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil

Detalhes bibliográficos
Autor(a) principal: Bernardes, Tiago
Data de Publicação: 2012
Outros Autores: Moreira, Maurício Alves, Adami, Marcos, Rudorff, Bernardo Friedrich Theodor
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241
Resumo: The State of Minas Gerais is the major coffee producer in Brazil. The crop is spread over different environments as wellas different management systems. Knowledge about environmental variables helps to establish and define appropriate managementpractices for the coffee crop. The objective of this study was to access spatially and quantitatively the occupation of coffee crop in MinasGerais and to elaborate a land use model for coffee crop in the state taking into account variables such as soil type, altitude, slope andaspect. We have used remote sensing data to map coffee areas and to derive relief data (altitude, slope and aspect). The relief data anda digital soil map were overlapped with the coffee area map in order to access the prevailing relationships. We have also consideredthe most favorable classes of each theme to determine the most suitable environment for coffee crop. Results show that the crop isdistributed within altitudes varying from 500 to 1.200 m. There are coffee fields in all classes of slope but slopes up to 15%predominate. The aspect does not seem to influence the occurrence of coffee since the proportions of coffee fields are about the samein all classes. However, we have found a slightly smaller proportion of coffee placed in west-facing slopes. In relation to soil types,Latossolos and Argissolos are the most occupied with coffee, that is, up to 80% of coffee fields are placed in those soils. About 70%of coffee fields are spread in appropriate environments over the best classes of soil, altitude, slope and aspect.
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spelling Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, BrazilDiagnóstico físico-ambiental da cafeicultura no Estado de Minas Gerais – BrasilCoffeeSensoriamentoSensoriamento remotocafeiculturarelevoclasses de solos.The State of Minas Gerais is the major coffee producer in Brazil. The crop is spread over different environments as wellas different management systems. Knowledge about environmental variables helps to establish and define appropriate managementpractices for the coffee crop. The objective of this study was to access spatially and quantitatively the occupation of coffee crop in MinasGerais and to elaborate a land use model for coffee crop in the state taking into account variables such as soil type, altitude, slope andaspect. We have used remote sensing data to map coffee areas and to derive relief data (altitude, slope and aspect). The relief data anda digital soil map were overlapped with the coffee area map in order to access the prevailing relationships. We have also consideredthe most favorable classes of each theme to determine the most suitable environment for coffee crop. Results show that the crop isdistributed within altitudes varying from 500 to 1.200 m. There are coffee fields in all classes of slope but slopes up to 15%predominate. The aspect does not seem to influence the occurrence of coffee since the proportions of coffee fields are about the samein all classes. However, we have found a slightly smaller proportion of coffee placed in west-facing slopes. In relation to soil types,Latossolos and Argissolos are the most occupied with coffee, that is, up to 80% of coffee fields are placed in those soils. About 70%of coffee fields are spread in appropriate environments over the best classes of soil, altitude, slope and aspect.O estado de Minas Gerais é o maior produtor de café no Brasil, onde a cultura está distribuída sob diferentes condiçõesde ambiente e cultivo. O conhecimento de variáveis ambientais favorece a implantação e definição do tipo de manejo adequado aocultivo do café. Objetivou-se, neste trabalho, avaliar em termos espaciais e quantitativos a ocupação da cafeicultura em Minas Geraise propor um modelo de ocupação das áreas cafeeiras com relação às variáveis do meio físico: altimetria, declividade, orientação devertentes e solos. Utilizaram-se dados de sensoriamento remoto para mapear o café e para derivar os dados de altimetria, declividadee orientação de vertentes. Os mapas gerados, juntamente com um mapa de solos, foram sobrepostos ao mapa de áreas cafeeiras,utilizando-se operadores estatísticos zonais para espacialização do café em relação a estes temas. As classes mais favoráveis ao cultivodo cafeeiro foram consideradas para definição de um ambiente mais apto à cultura. Os resultados demonstram que o parque cafeeiroestá distribuído em altitudes variando entre 500 e 1.200 m. São encontradas lavouras em praticamente todas as faixas de declividade,porém há um predomínio de lavouras em declividades entre 5 e 15%.A orientação de vertentes não parece influenciar na distribuiçãoespacial das lavouras de café uma vez que a proporção de lavouras é parecida em todas as classes de orientação. No entanto, aproporção de lavouras em faces orientadas a oeste é ligeiramente inferior. Com relação ao tipo de solo foi observado que 80% doscafezais encontra-se em Latossolos e Argissolos. Cerca de 70% do parque cafeeiro distribui-se adequadamente quando todas asvariáveis são analisadas simultaneamente, ou seja, sob condições favoráveis de altimetria, declividade, orientação de vertentes e solo.Editora UFLA2012-08-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/jpegimage/jpegimage/jpeghttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/241Coffee Science - ISSN 1984-3909; Vol. 7 No. 2 (2012); 139-151Coffee Science; Vol. 7 Núm. 2 (2012); 139-151Coffee Science; v. 7 n. 2 (2012); 139-1511984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/pdfhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1009https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1010https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1011https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1012https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1013https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1014https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1015https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1016https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1017https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1018Copyright (c) 2012 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessBernardes, TiagoMoreira, Maurício AlvesAdami, MarcosRudorff, Bernardo Friedrich Theodor2013-02-24T13:15:14Zoai:coffeescience.ufla.br:article/241Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:35.361882Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
Diagnóstico físico-ambiental da cafeicultura no Estado de Minas Gerais – Brasil
title Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
spellingShingle Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
Bernardes, Tiago
Coffee
Sensoriamento
Sensoriamento remoto
cafeicultura
relevo
classes de solos.
title_short Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
title_full Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
title_fullStr Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
title_full_unstemmed Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
title_sort Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
author Bernardes, Tiago
author_facet Bernardes, Tiago
Moreira, Maurício Alves
Adami, Marcos
Rudorff, Bernardo Friedrich Theodor
author_role author
author2 Moreira, Maurício Alves
Adami, Marcos
Rudorff, Bernardo Friedrich Theodor
author2_role author
author
author
dc.contributor.author.fl_str_mv Bernardes, Tiago
Moreira, Maurício Alves
Adami, Marcos
Rudorff, Bernardo Friedrich Theodor
dc.subject.por.fl_str_mv Coffee
Sensoriamento
Sensoriamento remoto
cafeicultura
relevo
classes de solos.
topic Coffee
Sensoriamento
Sensoriamento remoto
cafeicultura
relevo
classes de solos.
description The State of Minas Gerais is the major coffee producer in Brazil. The crop is spread over different environments as wellas different management systems. Knowledge about environmental variables helps to establish and define appropriate managementpractices for the coffee crop. The objective of this study was to access spatially and quantitatively the occupation of coffee crop in MinasGerais and to elaborate a land use model for coffee crop in the state taking into account variables such as soil type, altitude, slope andaspect. We have used remote sensing data to map coffee areas and to derive relief data (altitude, slope and aspect). The relief data anda digital soil map were overlapped with the coffee area map in order to access the prevailing relationships. We have also consideredthe most favorable classes of each theme to determine the most suitable environment for coffee crop. Results show that the crop isdistributed within altitudes varying from 500 to 1.200 m. There are coffee fields in all classes of slope but slopes up to 15%predominate. The aspect does not seem to influence the occurrence of coffee since the proportions of coffee fields are about the samein all classes. However, we have found a slightly smaller proportion of coffee placed in west-facing slopes. In relation to soil types,Latossolos and Argissolos are the most occupied with coffee, that is, up to 80% of coffee fields are placed in those soils. About 70%of coffee fields are spread in appropriate environments over the best classes of soil, altitude, slope and aspect.
publishDate 2012
dc.date.none.fl_str_mv 2012-08-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/pdf
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https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1010
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1011
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1012
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1013
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1014
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1015
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1016
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1017
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1018
dc.rights.driver.fl_str_mv Copyright (c) 2012 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2012 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
image/tiff
image/tiff
image/tiff
image/tiff
image/tiff
image/tiff
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image/jpeg
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dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 7 No. 2 (2012); 139-151
Coffee Science; Vol. 7 Núm. 2 (2012); 139-151
Coffee Science; v. 7 n. 2 (2012); 139-151
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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