Physic-environmental diagnosis of coffee crop in the State of Minas Gerais, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
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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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 info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
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 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/241/1009 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 image/tiff image/jpeg image/jpeg image/jpeg |
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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1799874918932807680 |