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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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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
05/11/2012 |
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Data da última atualização: |
16/07/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VASQUES, G. M.; GRUNWALD, S.; MYERS, D. B. |
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Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; SABINE GRUNWALD, UNIVERSITY OF FLORIDA; D. B. MYERS, UNITED STATES DEPARTMENT OF AGRICULTURE. |
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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: |
https://doi.org/10.1007/s10980-011-9702-3 |
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Idioma: |
Inglês |
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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 02449naa a2200205 a 4500
001 1938850
005 2024-07-16
008 2012 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10980-011-9702-3$2DOI
100 1 $aVASQUES, G. 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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| 1. |  | ABREU, L. F.; MATTIETTO, R. de A. Procedimentos de fabricação dos derivados de mandioca: recomendações para obtenção de produtos seguros e de qualidade. In: MODESTO JUNIOR, M. de S.; ALVES, R. N. B. (Ed.). Cultura da mandioca: aspectos socioeconômicos, melhoramento genético, sistemas de cultivo, manejo de pragas e doenças e agroindústria. Brasília, DF: Embrapa, 2016. Cap. 13, p. 223-241.| Tipo: Capítulo em Livro Técnico-Científico |
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| 2. | | MATTIETTO, R. A.; MATTA, V. M. Cajá (Spondias mombin L.). In: YAHIA, E. M. (Ed.). Postharvest biology and technology of tropical and subtropical fruits. Oxford: Woodhead Publishing, 2011. v. 2, cap. 15, p. 330-351.| Tipo: Capítulo em Livro Técnico-Científico |
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