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| Registros recuperados : 464 | |
| 41. |  | PALHARES, J. C. P.; PRADO, R. B. Progress and future challenges. In: PALHARES, J. C. P.; OLIVEIRA, V. B. V.; FREIRE JUNIOR, M.; CERDEIRA, A. L.; PRADO, H. A. do (Ed.). Responsible consumption and production: contributions of Embrapa. Brasília, DF: Embrapa, 2020. cap. 10, p. 87-90. (Sustainable development goals, 12). ODS 12| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Solos. |
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| 54. | | RODRIGUEZ OSUNA, V.; PRADO, R. B.; GAESE, H. Metodologia para priorização de áreas para intervenção no âmbito de PSA Hídrico na Bacia Guapi-Macacu, Rio de Janeiro. In: SEMINÁRIO DA REDE AGROHIDRO, 4., 2016, Brasília, DF. Água e agricultura: incertezas e desafios para a sustentabilidade frente às mudanças do clima e do uso da terra: anais. Brasília, DF: Embrapa, 2016. p. 37-43.| Biblioteca(s): Embrapa Cerrados. |
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| 55. | | RODRÍGUEZ OSUNA, V.; PRADO, R. B.; GAESE, H. Metodologia para priorização de áreas para intervenção no âmbito de PSA hídrico na bacia Guapi-Macacu, Rio de Janeiro. In: SEMINÁRIO DA REDE AGROHIDRO, 4., 2016, Brasília, DF. Água e agricultura: incertezas e desafios para a sustentabilidade frente às mudanças do clima e do uso da terra: anais. Planaltina, DF: Embrapa Cerrados, 2016. p. 37-43.| Biblioteca(s): Embrapa Solos. |
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| 56. | | SILVA, D. J.; WADT, P. G. S.; PRADO, R. M. Mineral nutrition and fertilization of mango crops. In: VALAVI, S. G.; RAJMOHAN, K.; GOLVI, J. N.; PETER, K. V.; THOTTAPPILLY, G. Mango: production and processing technology. Houston: Studium Press LLC, 2012. v. 1, cap. 22, p. 384-394.| Biblioteca(s): Embrapa Acre; Embrapa Semiárido. |
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| 59. | | WADT, P. G. S.; SILVA, D. J.; PRADO, R. M. Diagnosis and recomendation integrated system application mango. In: VALAVI, S. G.; RAJMOHAN, K.; GOLVI, J. N.; PETER, K. V.; THOTTAPPILLY, G. Mango: cultivation in different countries. Houston: Studium Press LLC, 2012. v. 1, cap. 18, p. 320-330.| Biblioteca(s): Embrapa Semiárido. |
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| 60. | | PRADO, R. M.; CAIONE, G.; SILVA, D. J. Macronutrient and micronutrient deficiency symptoms in mango. In: VALAVI, S. G.; RAJMOHAN, K.; GOLVI, J. N.; PETER, K. V.; THOTTAPPILLY, G. Mango: cultivation in different countries. Houston: Studium Press LLC, 2012. v. 1, cap. 30, p. 470-478.| Biblioteca(s): Embrapa Semiárido. |
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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
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
25/02/2014 |
|
Data da última atualização: |
16/07/2024 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 4 |
|
Autoria: |
TURETTA, A. P. D.; PRADO, R. B.; VALLADARES, G. de S. |
|
Afiliação: |
ANA PAULA DIAS TURETTA, CNPS; RACHEL BARDY PRADO, CNPS; GUSTAVO DE SOUZA VALLADARES, UNIVERSIDADE FEDERAL DO CEARÁ. |
|
Título: |
Evaluating the potential of landscape metrics in supporting landscape planning in Atlantic Forest: Rio de Janeiro, Brazil. |
|
Ano de publicação: |
2013 |
|
Fonte/Imprenta: |
International Journal of Agricultural and Environmental Information Systems, v. 4, n. 1, p. 55-68, Jan./Mar. 2013. |
|
DOI: |
https://doi.org/10.4018/jaeis.2013010104 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The landscapes are highly dependent on the dynamics of local land use and land cover, which directly affects landscape structure and determines the spatial patterns of forest patches, as well as to the major land uses within a specific region. The calculation of landscape metrics can support the understanding of such spatial distribution. In this study, 16 landscape metrics were analyzed in a drainage watershed in a high relief region in the Rio de Janeiro state, Southeastern Brazil, with the aim to evaluate the use of landscape metrics as indicators for agricultural management. Metrics calculation was followed by a Principal Component Analysis, which indicated the metrics that were most effective in evidencing the landscape structure in analysis. The results showed that the late-succession forest is the dominant component in the landscape. This class also presented the highest MPS metric value, related to the mean patch size by class. Some PCA results suggest that the metrics association was less effective in clustering the overgrown pasture, clean pasture, and annual crops classes, but this could result from the intrinsic association among those classes, by crop rotation, meaning the abandon of a site formerly occupied by an annual crop. Some metrics better suggested an interaction among land use classes and have potential to be use in the analyses of agricultural landscapes in high relief sites. |
|
Palavras-Chave: |
Atlantic forest; Landscape metrics; Sustainable planning. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02139naa a2200193 a 4500
001 1981222
005 2024-07-16
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4018/jaeis.2013010104$2DOI
100 1 $aTURETTA, A. P. D.
245 $aEvaluating the potential of landscape metrics in supporting landscape planning in Atlantic Forest$bRio de Janeiro, Brazil.$h[electronic resource]
260 $c2013
520 $aThe landscapes are highly dependent on the dynamics of local land use and land cover, which directly affects landscape structure and determines the spatial patterns of forest patches, as well as to the major land uses within a specific region. The calculation of landscape metrics can support the understanding of such spatial distribution. In this study, 16 landscape metrics were analyzed in a drainage watershed in a high relief region in the Rio de Janeiro state, Southeastern Brazil, with the aim to evaluate the use of landscape metrics as indicators for agricultural management. Metrics calculation was followed by a Principal Component Analysis, which indicated the metrics that were most effective in evidencing the landscape structure in analysis. The results showed that the late-succession forest is the dominant component in the landscape. This class also presented the highest MPS metric value, related to the mean patch size by class. Some PCA results suggest that the metrics association was less effective in clustering the overgrown pasture, clean pasture, and annual crops classes, but this could result from the intrinsic association among those classes, by crop rotation, meaning the abandon of a site formerly occupied by an annual crop. Some metrics better suggested an interaction among land use classes and have potential to be use in the analyses of agricultural landscapes in high relief sites.
653 $aAtlantic forest
653 $aLandscape metrics
653 $aSustainable planning
700 1 $aPRADO, R. B.
700 1 $aVALLADARES, G. de S.
773 $tInternational Journal of Agricultural and Environmental Information Systems$gv. 4, n. 1, p. 55-68, Jan./Mar. 2013.
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