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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
05/11/2012 |
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Data da última atualização: |
21/11/2012 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VASQUES, G. de M.; GRUNWALD, S.; MYERS, D. B. |
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Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; Sabine Grunwald, University of Florida; Department of Agriculture, USA. |
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Título: |
Associations between soil carbon and ecological landscape variables at escalating spatial scales in Florida, USA. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Landscape Ecology, v. 27, p. 355-367, 2012. |
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DOI: |
10.1007/s10980-011-9702-3 |
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Idioma: |
Português |
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Conteúdo: |
The spatial distribution of soil carbon (C) is controlled by ecological processes that evolve and interact over a range of spatial scales across the landscape. The relationships between hydrologic and biotic processes and soil C patterns and spatial behavior are still poorly understood. Our objectives were to (i) identify the appropriate spatial scale to observe soil total C (TC) in a subtropical landscape with pronounced hydrologic and biotic variation, and (ii) investigate the spatial behavior and relationships between TC and ecological landscape variables which aggregate various hydrologic and biotic processes. The study was conducted in Florida, USA, characterized by extreme hydrologic (poorly to excessively drained soils), and vegetation/land use gradients ranging from natural uplands and wetlands to intensively managed forest, agricultural, and urban systems. We used semivariogram and landscape indices to compare the spatial dependence structures of TC and 19 ecological landscape variables, identifying similarities and establishing pattern?process relationships. Soil, hydrologic, and biotic ecological variables mirrored the spatial behavior of TC at fine (few kilometers), and coarse (hundreds of kilometers) spatial scales. Specifically, soil available water capacity resembled the spatial dependence structure of TC at escalating scales, supporting a multi-scale soil hydrology- soil C process?pattern relationship in Florida. Our findings suggest two appropriate scales to observe TC, one at a short range (autocorrelation range of 5.6 km), representing local soil-landscape variation, and another at a longer range (119 km), accounting for regional variation. Moreover, our results provide further guidance to measure ecological variables influencing C dynamics. MenosThe spatial distribution of soil carbon (C) is controlled by ecological processes that evolve and interact over a range of spatial scales across the landscape. The relationships between hydrologic and biotic processes and soil C patterns and spatial behavior are still poorly understood. Our objectives were to (i) identify the appropriate spatial scale to observe soil total C (TC) in a subtropical landscape with pronounced hydrologic and biotic variation, and (ii) investigate the spatial behavior and relationships between TC and ecological landscape variables which aggregate various hydrologic and biotic processes. The study was conducted in Florida, USA, characterized by extreme hydrologic (poorly to excessively drained soils), and vegetation/land use gradients ranging from natural uplands and wetlands to intensively managed forest, agricultural, and urban systems. We used semivariogram and landscape indices to compare the spatial dependence structures of TC and 19 ecological landscape variables, identifying similarities and establishing pattern?process relationships. Soil, hydrologic, and biotic ecological variables mirrored the spatial behavior of TC at fine (few kilometers), and coarse (hundreds of kilometers) spatial scales. Specifically, soil available water capacity resembled the spatial dependence structure of TC at escalating scales, supporting a multi-scale soil hydrology- soil C process?pattern relationship in Florida. Our findings suggest two appropriate scales to... Mostrar Tudo |
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Palavras-Chave: |
Scale Variogram; Soil carbon; Spatial autocorrelation. |
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Thesaurus Nal: |
spatial variation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02436naa a2200205 a 4500
001 1938850
005 2012-11-21
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1007/s10980-011-9702-3$2DOI
100 1 $aVASQUES, G. de M.
245 $aAssociations between soil carbon and ecological landscape variables at escalating spatial scales in Florida, USA.$h[electronic resource]
260 $c2012
520 $aThe spatial distribution of soil carbon (C) is controlled by ecological processes that evolve and interact over a range of spatial scales across the landscape. The relationships between hydrologic and biotic processes and soil C patterns and spatial behavior are still poorly understood. Our objectives were to (i) identify the appropriate spatial scale to observe soil total C (TC) in a subtropical landscape with pronounced hydrologic and biotic variation, and (ii) investigate the spatial behavior and relationships between TC and ecological landscape variables which aggregate various hydrologic and biotic processes. The study was conducted in Florida, USA, characterized by extreme hydrologic (poorly to excessively drained soils), and vegetation/land use gradients ranging from natural uplands and wetlands to intensively managed forest, agricultural, and urban systems. We used semivariogram and landscape indices to compare the spatial dependence structures of TC and 19 ecological landscape variables, identifying similarities and establishing pattern?process relationships. Soil, hydrologic, and biotic ecological variables mirrored the spatial behavior of TC at fine (few kilometers), and coarse (hundreds of kilometers) spatial scales. Specifically, soil available water capacity resembled the spatial dependence structure of TC at escalating scales, supporting a multi-scale soil hydrology- soil C process?pattern relationship in Florida. Our findings suggest two appropriate scales to observe TC, one at a short range (autocorrelation range of 5.6 km), representing local soil-landscape variation, and another at a longer range (119 km), accounting for regional variation. Moreover, our results provide further guidance to measure ecological variables influencing C dynamics.
650 $aspatial variation
653 $aScale Variogram
653 $aSoil carbon
653 $aSpatial autocorrelation
700 1 $aGRUNWALD, S.
700 1 $aMYERS, D. B.
773 $tLandscape Ecology$gv. 27, p. 355-367, 2012.
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Embrapa Solos (CNPS) |
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| Registros recuperados : 83 | |
| 6. |  | COELHO, M. R.; LUMBRERAS, J. F.; VASQUES, G. de M. Atributos químicos e granulometria dos solos da XI Reunião Brasileira de Classificação e Correlação de Solos (RCC de Roraima). In: BATISTA, K. D.; LUMBRERAS, J. F.; COELHO, M. R.; OLIVEIRA, V. A. de; VALE JÚNIOR, J. F. do (Ed.). Guia de campo da XI Reunião Brasileira de Classificação e Correlação de Solos: RCC de Roraima. Brasília, DF: Embrapa, 2018. E-book. cap. 4.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 13. | | COELHO, M. R.; LUMBRERAS, J. F.; VASQUES, G. de M.; OLIVEIRA, V. A. de. Atributos químicos e granulometria dos solos da XII Reunião Brasileira de Classificação de Solos (RCC de Rondônia): um enfoque pedológico. In: LUMBRERAS, J. F.; SILVA, L. M. da; ANJOS, L. H. C. dos; OLIVEIRA, V. A. de; WADT, P. G. S.; PEREIRA, M. G.; DELARMELINDA-HONORÉ, E. A.; BURITY, K. T. L. (Ed.). Guia de campo da XII Reunião Brasileira de Classificação e Correlação de Solos: RCC de Rondônia. Brasília, DF: Embrapa, 2019. E-book. cap. 10.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Solos. |
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| 17. | | VASQUES, G. de M.; RODRIGUES, H. M.; TAVARES, S. R. de L.; COELHO, M. R. Predicting soil clay content from NIR, gamma-ray and XRF curves. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 535-536. WCSS 2018.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 83 | |
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