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| Registros recuperados : 47 | |
| 9. |  | FONTES, E. M. G.; SOTTA, E. D.; FAVARO, S. P.; GERHARD, P.; VILELA, G. F. Conservação, recuperação e uso sustentável de ecossistemas. In: HAMMES, V. S.; LOPES, D. B.; SANTOS, A. C. C. dos; COSTA, J. R. da; OLIVEIRA, Y. M. M. de (Ed.). Pesquisa e inovação agropecuária na agenda 2030: contribuições da Embrapa e parceiros. Brasília, DF: Embrapa, 2018. E-book. (Objetivos de Desenvolvimento Sustentável, 15). p. 27-47. Capítulo 15.| Biblioteca(s): Embrapa Agroenergia; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Territorial. |
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| 10. | | FONTES, E. M. G.; SOTTA, E. D.; FAVARO, S. P.; GERHARD, P.; VILELA, G. F. Conservation, recovery, and sustainable use of ecosystems. In: VILELA, G. F.; BENTES, M. P. de M.; OLIVEIRA, Y. M. M. de; MARQUES, D. K. S.; SILVA, J. C. B. (Ed.). Life on land: contributions of Embrapa. Brasília, DF: Embrapa, 2019. E-book. (Sustainable development goal, 15). p. 27-46| Biblioteca(s): Embrapa Amapá; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Territorial. |
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| 11. | | FONTES, E. M. G.; SOTTA, E. D.; FAVARO, S. P.; GERHARD, P.; VILELA, G. F. Conservation, recovery, and sustainable use of ecosystems. In: VILELA, G. F.; BENTES, M. P. de M.; OLIVEIRA, Y. M. M. de; MARQUES, D. K. S.; SILVA, J. C. B. (Ed.). Life on land: contributions of Embrapa. Brasília, DF: Embrapa, 2019. E-book. (Sustainable development goal, 15)., 2019 p. 27-46| Biblioteca(s): Embrapa Agroenergia. |
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| 14. | | FUSTAINE, F. R.; VILELA, G. F.; GALDINO, S.; TOSTO, S. G. Aplicação do índice de Tempo de Vida do Solo (ITVS) para o cultivo da seringueira no noroeste do estado de São Paulo. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL, 56., 2018, Campinas. Transformações recentes na agropecuária brasileira: desafios em gestão, inovação, sustentabilidade e inclusão social: anais. Brasília, DF: SOBER, 2018. Não paginado. Sober 2018.| Biblioteca(s): Embrapa Territorial. |
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| 17. | | VILELA, G. F.; HUNGRIA, M.; NOGUEIRA, M. A.; CAMPOS, L. J. M.; SILVA, M. D. M. Avaliação de bactérias diazotróficas e tecnologias de inoculação para a cultura da soja na região sul do estado do maranhão. In: REUNIÃO LATINOAMERICANA DE RIZOBIOLOGIA - RELAR, 27., 2016, Londrina. Fortalecendo as parcerias Sul-Sul: anais. Curitiba: SBCS-NEPAR, 2016. p. 279. Editores: Mariangela Hungria, Douglas Fabiano Gomes, Arnaldo Colozzi Filho.| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 47 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
15/01/2019 |
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Data da última atualização: |
26/04/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MENDES, A. M.; VILELA, G. F.; OSHIRO, O. T. |
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Afiliação: |
ANGELO MANSUR MENDES, CNPM; GISELE FREITAS VILELA, CNPM; OSVALDO TADATOMO OSHIRO, CNPM. |
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Título: |
Soil, agricultural suitability and use at rural properties in the state of Mato Grosso. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings. Rio de Janeiro: SBCS, 2018. |
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Páginas: |
1 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Agriculture is the main source of welfare in Brazil. The state of Mato Grosso is probably the best example for it, with its 903 thousand km2 covered by 3 biomes. The New Brazilian Forest Code (Brazilian Federal Law nº 12.651 - May 25, 2012) created a Cadastro Ambiental Rural (CAR) hosted at Sistema Nacional de Cadastro Ambiental Rural (SICAR), with the aim of creating a database for controlling, monitoring, environmental and economic planning, and for fighting against deforestation. The aim of this work is to identify, using a geographic information system (GIS), the soil and agricultural suitability and the land use at rural properties larger than ten 'rural modules' in the State of Mato Grosso accross its different biomes. We used ArcGIS 10.5 to geoprocess the databases on: soil and agricultural suitability by the Planning Department of the State of Mato Grosso; biomes by the Brazilian Ministry for Environment; soil use by the Brazilian National Institute for Space Research; and CAR, made available by SICAR. We considered only the properties larger than 10 fiscal modules, i.e. 16,669 rural properties registered under SICAR. The largest biome portion, Amazônia, occupies approximately 53% of the state's territory, and has 8,065 properties. The predominant soil classes in this part of the state are Oxisols and Ultisols, the main agricultural suitability classes in the management level C for agriculture use were good (23.3%), regular (39.7%), and land not recommended (20.6%), and the main land uses in 2014 were forestry (44.8%) and planted pasture (22.6%). The Cerrado biome portion occupies almost 40% of the state of Mato Grosso, has 7,910 properties where the predominant soil classes are Oxisols and Entisols, the agricultural suitability classes in the management level C for agriculture use were good (21.6%), regular (25.5%) and land not recommended (51.5%), and the main land uses were not forestry (78.2%). Whereas at the Pantanal biome portion occupies nearly 7% of the state and has 817 registered properties where the predominant soil classes were Plinthic subgoups and Alfisols, agricultura suitability were regular for native pasture and silviculture (43.3%) and good for planted pasture (19.6%), and the main land uses were not forestry (86.7%). The GIS tool enables the characterization of the large properties and may dditionally serve to direct the farmers towards the best choices for areas based on the soil and agricultural of their farms. MenosAgriculture is the main source of welfare in Brazil. The state of Mato Grosso is probably the best example for it, with its 903 thousand km2 covered by 3 biomes. The New Brazilian Forest Code (Brazilian Federal Law nº 12.651 - May 25, 2012) created a Cadastro Ambiental Rural (CAR) hosted at Sistema Nacional de Cadastro Ambiental Rural (SICAR), with the aim of creating a database for controlling, monitoring, environmental and economic planning, and for fighting against deforestation. The aim of this work is to identify, using a geographic information system (GIS), the soil and agricultural suitability and the land use at rural properties larger than ten 'rural modules' in the State of Mato Grosso accross its different biomes. We used ArcGIS 10.5 to geoprocess the databases on: soil and agricultural suitability by the Planning Department of the State of Mato Grosso; biomes by the Brazilian Ministry for Environment; soil use by the Brazilian National Institute for Space Research; and CAR, made available by SICAR. We considered only the properties larger than 10 fiscal modules, i.e. 16,669 rural properties registered under SICAR. The largest biome portion, Amazônia, occupies approximately 53% of the state's territory, and has 8,065 properties. The predominant soil classes in this part of the state are Oxisols and Ultisols, the main agricultural suitability classes in the management level C for agriculture use were good (23.3%), regular (39.7%), and land not recommended (20.6%), ... Mostrar Tudo |
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Palavras-Chave: |
Biome; Rural environmental registry. |
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Thesaurus NAL: |
Geographic information systems. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190586/1/5037.pdf
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Marc: |
LEADER 03128nam a2200181 a 4500
001 2104196
005 2019-04-26
008 2018 bl uuuu u00u1 u #d
100 1 $aMENDES, A. M.
245 $aSoil, agricultural suitability and use at rural properties in the state of Mato Grosso.$h[electronic resource]
260 $aWORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings. Rio de Janeiro: SBCS$c2018
300 $a1 p.
520 $aAgriculture is the main source of welfare in Brazil. The state of Mato Grosso is probably the best example for it, with its 903 thousand km2 covered by 3 biomes. The New Brazilian Forest Code (Brazilian Federal Law nº 12.651 - May 25, 2012) created a Cadastro Ambiental Rural (CAR) hosted at Sistema Nacional de Cadastro Ambiental Rural (SICAR), with the aim of creating a database for controlling, monitoring, environmental and economic planning, and for fighting against deforestation. The aim of this work is to identify, using a geographic information system (GIS), the soil and agricultural suitability and the land use at rural properties larger than ten 'rural modules' in the State of Mato Grosso accross its different biomes. We used ArcGIS 10.5 to geoprocess the databases on: soil and agricultural suitability by the Planning Department of the State of Mato Grosso; biomes by the Brazilian Ministry for Environment; soil use by the Brazilian National Institute for Space Research; and CAR, made available by SICAR. We considered only the properties larger than 10 fiscal modules, i.e. 16,669 rural properties registered under SICAR. The largest biome portion, Amazônia, occupies approximately 53% of the state's territory, and has 8,065 properties. The predominant soil classes in this part of the state are Oxisols and Ultisols, the main agricultural suitability classes in the management level C for agriculture use were good (23.3%), regular (39.7%), and land not recommended (20.6%), and the main land uses in 2014 were forestry (44.8%) and planted pasture (22.6%). The Cerrado biome portion occupies almost 40% of the state of Mato Grosso, has 7,910 properties where the predominant soil classes are Oxisols and Entisols, the agricultural suitability classes in the management level C for agriculture use were good (21.6%), regular (25.5%) and land not recommended (51.5%), and the main land uses were not forestry (78.2%). Whereas at the Pantanal biome portion occupies nearly 7% of the state and has 817 registered properties where the predominant soil classes were Plinthic subgoups and Alfisols, agricultura suitability were regular for native pasture and silviculture (43.3%) and good for planted pasture (19.6%), and the main land uses were not forestry (86.7%). The GIS tool enables the characterization of the large properties and may dditionally serve to direct the farmers towards the best choices for areas based on the soil and agricultural of their farms.
650 $aGeographic information systems
653 $aBiome
653 $aRural environmental registry
700 1 $aVILELA, G. F.
700 1 $aOSHIRO, O. T.
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