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4. | | RAMOS, M. R.; UHLMANN, A.; MELO, V. de F.; CURCIO, G. R.; CAGLIONI, E. Atributos de solos coesos e não coesos no Complexo Petroquímico do Rio de Janeiro, Itaboraí - RJ. Enciclopédia Biosfera, Goiânia, v. 11 n. 22, p. 360-375, 2015. Biblioteca(s): Embrapa Florestas. |
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6. | | HANKE, D.; DICK, D. P.; DIECKOW, J.; MELO, V. de F.; BOGNOLA, I. A. Matéria orgânica e mineralogia de solos de uma toposseqüência do Terceiro Planalto Paranaense. In: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS, 10., 2013, Santo Antônio de Goiás. Matéria orgânica e qualidade ambiental: anais. Brasília, DF: Embrapa, 2013. p. 190-193 Biblioteca(s): Embrapa Florestas. |
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8. | | BARROS, Y. J.; SAUTTER, K. D.; MELO, V. de F.; BUSCHLE, B. Soil Mesofauna in an old mining area in Adrianópolis (PR), Brazil. In: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM. Biblioteca(s): Embrapa Florestas. |
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10. | | HANKE, D.; MELO, V. de F.; DIECKOW, J.; DICK, D. P.; BOGNOLA, I. A. Influência da matéria orgânica no diâmetro médio de minerais da fração argila de solos desenvolvidos de basalto no sul do Brasil. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 39, n. 6, p. 1611-1622, nov./dez. 2015. Biblioteca(s): Embrapa Florestas. |
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13. | | RAMALHO, B.; DIECKOW, J.; MELO, V. de F.; BROWN, G. G.; SIMON, P. L.; IBARR, M. A.; CUNHA, L.; KILLE, P.; TPI NETWORK. Carbon and nitrogen storage and stability by mineral-organic association in physical fractions of anthropogenic dark earth and of reference soils in Amazonia. Catena, v. 213, 106185, June 2022. 10 p. Biblioteca(s): Embrapa Florestas. |
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14. | | BARROS, Y. J.; MELO, V. de F.; SAUTTER, K. D.; BUSCHLE, B.; OLIVEIRA, E. B. de; AZEVEDO, J. C. R. de; SOUZA, L. C. de P.; KUMMER, L. Indicadores de qualidade de solos em área de mineração e metalurgia de chumbo. II - Mesofauna e plantas. Revista Brasileira de Ciência do Solo, v. 34, p. 1413-1426, 2010. Biblioteca(s): Embrapa Florestas. |
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15. | | BARROS, Y. J.; MELO, V. de F.; DIONÍSIO, J. A.; OLIVEIRA, E. B. de; CARON, L.; KUMMER, L.; AZEVEDO, J. C. R. de; SOUZA, L. C. de P. Indicadores de qualidade de solos em área de mineração e metalurgia de chumbo. I - Microrganismos. Revista Brasileira de Ciência do Solo, v. 34, p. 1397-1411, 2010. Biblioteca(s): Embrapa Florestas. |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
09/10/2018 |
Data da última atualização: |
31/10/2018 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
NAEGELI DE TORRES, F.; RICHTER, R.; FIDALGO, E. C. C. |
Afiliação: |
FRIEDERIKE NAEGELI DE TORRES, Leipzig University, Leipzig, Germany; RONNY RICHTER, Leipzig University, Leipzig, Germany; ELAINE CRISTINA CARDOSO FIDALGO, CNPS. |
Título: |
Multicriteria site prioritization for land rehabilitation in the Guapi-Macacu Watershed, Rio de Janeiro. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: NEHREN, U.; SCHLÜTER, S.; RAEDIG, C.; SATTLER, D.; HISSA, H. (Ed.). Strategies and tools for a sustainable rural Rio de Janeiro. Cham: Springer, 2019. cap. 26, p. 405-421. |
DOI: |
10.1007/978-3-319-89644-1_26 |
Idioma: |
Inglês |
Conteúdo: |
Progressing land degradation is of increasing global concern because it deteriorates essential ecosystem features, functions, and services as observed in our study area in the highly fragmented Mata Atlântica biome, RJ, Brazil. The prioritization of sites for land rehabilitation is a frequent task for environmental managers and essential to develop urgently needed public policies. Hence, we present a GIS-based tool based on ecological principles for the selection of reforestation sites by integrating data on pasture degradation and landscape fragmentation. Thereby, the prioritized areas do not only represent opportunities for increasing forest cover and enhancing forest connectivity but also for reducing the area of degraded pastures. From our perspective, the inclusion of spatial information on degraded pastures is essential, since many of these areas have lost important ecological and economic function and should thus be prioritized for intervention. Data on degraded pastures and forest cover used in this study are derived from high- and medium-resolution satellite imagery. Other spatial data are derived from a digital elevation model (DEM) with 20 m resolution. The multicriteria analysis for the data integration was conducted using ESRI ArcGIS and the open-source software ILWIS. |
Palavras-Chave: |
ILWIS; Mata Atlântica. |
Thesagro: |
Análise de Dados. |
Thesaurus NAL: |
Spatial data. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02067naa a2200205 a 4500 001 2097095 005 2018-10-31 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1007/978-3-319-89644-1_26$2DOI 100 1 $aNAEGELI DE TORRES, F. 245 $aMulticriteria site prioritization for land rehabilitation in the Guapi-Macacu Watershed, Rio de Janeiro.$h[electronic resource] 260 $c2019 520 $aProgressing land degradation is of increasing global concern because it deteriorates essential ecosystem features, functions, and services as observed in our study area in the highly fragmented Mata Atlântica biome, RJ, Brazil. The prioritization of sites for land rehabilitation is a frequent task for environmental managers and essential to develop urgently needed public policies. Hence, we present a GIS-based tool based on ecological principles for the selection of reforestation sites by integrating data on pasture degradation and landscape fragmentation. Thereby, the prioritized areas do not only represent opportunities for increasing forest cover and enhancing forest connectivity but also for reducing the area of degraded pastures. From our perspective, the inclusion of spatial information on degraded pastures is essential, since many of these areas have lost important ecological and economic function and should thus be prioritized for intervention. Data on degraded pastures and forest cover used in this study are derived from high- and medium-resolution satellite imagery. Other spatial data are derived from a digital elevation model (DEM) with 20 m resolution. The multicriteria analysis for the data integration was conducted using ESRI ArcGIS and the open-source software ILWIS. 650 $aSpatial data 650 $aAnálise de Dados 653 $aILWIS 653 $aMata Atlântica 700 1 $aRICHTER, R. 700 1 $aFIDALGO, E. C. C. 773 $tIn: NEHREN, U.; SCHLÜTER, S.; RAEDIG, C.; SATTLER, D.; HISSA, H. (Ed.). Strategies and tools for a sustainable rural Rio de Janeiro. Cham: Springer, 2019. cap. 26, p. 405-421.
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