Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management

Detalhes bibliográficos
Autor(a) principal: Taveira,Luís Renato Silva
Data de Publicação: 2018
Outros Autores: Menezes,Michele Duarte de, Teixeira,Anita Fernanda dos Santos, Curi,Nilton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600631
Resumo: ABSTRACT Land use capability is one of the most widespread technical-interpretative classification systems, however, regional adaptations may be necessary because different attributes may affect it. For these adaptations, the Minas Gerais soil map was used as the starting point for this study. The criteria to define the land use capability were adapted to management levels with small (level A) and medium (level B) application of capital and modern technology (level C). The aim of the present study was to map land use capability for Minas Gerais state, Brazil, following the criteria adapted to different levels of management and measure the accuracy of the resulting maps. The system of land use capability is widely used by INCRA in evaluations of rural properties. Erosion criterion was replaced by erodibility. The information was handled in a geographic information system. For validation, soil profiles from regional pedological surveys were sampled, classified, and its land use capability was compared to the land use capability shown on the map according to the different management levels. In spite of the small scale of the soil map, the maps of land use capability exhibited adequate accuracy: 73% (management level A), 71% (B), and 50% (C). Therefore, it can be applied in initial phases of regional planning studies, in which the level of details required is reduced (for example, in ecological-economic zoning). More detailed analyses still depend on detailed field surveys, as advocated by the system of land use capability.
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spelling Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural managementSoil mapland use intensitymapping accuracygeographic information systemABSTRACT Land use capability is one of the most widespread technical-interpretative classification systems, however, regional adaptations may be necessary because different attributes may affect it. For these adaptations, the Minas Gerais soil map was used as the starting point for this study. The criteria to define the land use capability were adapted to management levels with small (level A) and medium (level B) application of capital and modern technology (level C). The aim of the present study was to map land use capability for Minas Gerais state, Brazil, following the criteria adapted to different levels of management and measure the accuracy of the resulting maps. The system of land use capability is widely used by INCRA in evaluations of rural properties. Erosion criterion was replaced by erodibility. The information was handled in a geographic information system. For validation, soil profiles from regional pedological surveys were sampled, classified, and its land use capability was compared to the land use capability shown on the map according to the different management levels. In spite of the small scale of the soil map, the maps of land use capability exhibited adequate accuracy: 73% (management level A), 71% (B), and 50% (C). Therefore, it can be applied in initial phases of regional planning studies, in which the level of details required is reduced (for example, in ecological-economic zoning). More detailed analyses still depend on detailed field surveys, as advocated by the system of land use capability.Editora da UFLA2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600631Ciência e Agrotecnologia v.42 n.6 2018reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542018426026518info:eu-repo/semantics/openAccessTaveira,Luís Renato SilvaMenezes,Michele Duarte deTeixeira,Anita Fernanda dos SantosCuri,Niltoneng2019-01-28T00:00:00Zoai:scielo:S1413-70542018000600631Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2019-01-28T00:00Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
title Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
spellingShingle Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
Taveira,Luís Renato Silva
Soil map
land use intensity
mapping accuracy
geographic information system
title_short Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
title_full Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
title_fullStr Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
title_full_unstemmed Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
title_sort Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
author Taveira,Luís Renato Silva
author_facet Taveira,Luís Renato Silva
Menezes,Michele Duarte de
Teixeira,Anita Fernanda dos Santos
Curi,Nilton
author_role author
author2 Menezes,Michele Duarte de
Teixeira,Anita Fernanda dos Santos
Curi,Nilton
author2_role author
author
author
dc.contributor.author.fl_str_mv Taveira,Luís Renato Silva
Menezes,Michele Duarte de
Teixeira,Anita Fernanda dos Santos
Curi,Nilton
dc.subject.por.fl_str_mv Soil map
land use intensity
mapping accuracy
geographic information system
topic Soil map
land use intensity
mapping accuracy
geographic information system
description ABSTRACT Land use capability is one of the most widespread technical-interpretative classification systems, however, regional adaptations may be necessary because different attributes may affect it. For these adaptations, the Minas Gerais soil map was used as the starting point for this study. The criteria to define the land use capability were adapted to management levels with small (level A) and medium (level B) application of capital and modern technology (level C). The aim of the present study was to map land use capability for Minas Gerais state, Brazil, following the criteria adapted to different levels of management and measure the accuracy of the resulting maps. The system of land use capability is widely used by INCRA in evaluations of rural properties. Erosion criterion was replaced by erodibility. The information was handled in a geographic information system. For validation, soil profiles from regional pedological surveys were sampled, classified, and its land use capability was compared to the land use capability shown on the map according to the different management levels. In spite of the small scale of the soil map, the maps of land use capability exhibited adequate accuracy: 73% (management level A), 71% (B), and 50% (C). Therefore, it can be applied in initial phases of regional planning studies, in which the level of details required is reduced (for example, in ecological-economic zoning). More detailed analyses still depend on detailed field surveys, as advocated by the system of land use capability.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600631
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600631
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542018426026518
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.42 n.6 2018
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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