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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
09/10/2018 |
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Data da última atualização: |
31/10/2018 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
NAEGELI DE TORRES, F.; RICHTER, R.; FIDALGO, E. C. C. |
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Afiliação: |
FRIEDERIKE NAEGELI DE TORRES, Leipzig University, Leipzig, Germany; RONNY RICHTER, Leipzig University, Leipzig, Germany; ELAINE CRISTINA CARDOSO FIDALGO, CNPS. |
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Título: |
Multicriteria site prioritization for land rehabilitation in the Guapi-Macacu Watershed, Rio de Janeiro. |
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Ano de publicação: |
2019 |
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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. |
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DOI: |
10.1007/978-3-319-89644-1_26 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
ILWIS; Mata Atlântica. |
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Thesagro: |
Análise de Dados. |
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Thesaurus NAL: |
Spatial data. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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