| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
05/11/2012 |
|
Data da última atualização: |
11/11/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
VASQUES, G. de M.; GRUNWALD, S.; MYERS, D. B. |
|
Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; University of Florida; Department of Agriculture, Columbia, Missouri, USA. |
|
Título: |
Influence of the spatial extent and resolution of input data on soil carbon models in Florida, USA. |
|
Ano de publicação: |
2012 |
|
Fonte/Imprenta: |
Journal of Geophysical Research Geosciences, v. 117, n. G4, 2012. |
|
DOI: |
https://doi.org/10.1029/2012JG001982 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Understanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, but may be influenced by scale parameters, including the spatial extent and resolution of input data. Our objective was to investigate the influence of these scale parameters on soil C spatial predictive models in Florida, USA. We used data from three nested spatial extents (Florida, 150,000 km2; Santa Fe River watershed, 3,585 km2; and University of Florida Beef Cattle Station, 5.58 km2) to derive stepwise linear models of soil C as a function of 24 environmental properties. Models were derived within the three extents and for seven resolutions (30?1920 m) of input environmental data in Florida and in the watershed, then cross-evaluated among extents and resolutions, respectively. The quality of soil C models increased with an increase in the spatial extent (R2 from 0.10 in the cattle station to 0.61 in Florida) and with a decrease in the resolution of input data (R2 from 0.33 at 1920-m resolution to 0.61 at 30-m resolution in Florida). Soil and hydrologic variables were the most important across the seven resolutions both in Florida and in the watershed. The spatial extent and resolution of environmental covariates modulate soil C variation and soil-landscape correlations influencing soil C predictive models. Our results provide scale boundaries to observe environmental data and assess soil C spatial patterns, supporting C sequestration, budgeting and monitoring programs. MenosUnderstanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, but may be influenced by scale parameters, including the spatial extent and resolution of input data. Our objective was to investigate the influence of these scale parameters on soil C spatial predictive models in Florida, USA. We used data from three nested spatial extents (Florida, 150,000 km2; Santa Fe River watershed, 3,585 km2; and University of Florida Beef Cattle Station, 5.58 km2) to derive stepwise linear models of soil C as a function of 24 environmental properties. Models were derived within the three extents and for seven resolutions (30?1920 m) of input environmental data in Florida and in the watershed, then cross-evaluated among extents and resolutions, respectively. The quality of soil C models increased with an increase in the spatial extent (R2 from 0.10 in the cattle station to 0.61 in Florida) and with a decrease in the resolution of input data (R2 from 0.33 at 1920-m resolution to 0.61 at 30-m resolution in Florida). Soil and hydrologic variables were the most important across the seven resolutions both in Florida and in the watershed. The spatial extent and resolution of environmental covariates modulate soil C variation and soil-landscape correlations influencing soil C predictive models. Our results provide scale boundaries to observe environmental data and... Mostrar Tudo |
|
Palavras-Chave: |
Soil carbon; Soil carbon models. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/69367/1/Vasques-et-al.-Influence-of-the-spatial-extent-and-resolution-of-input-data-on-soil-carbon-models-in-Florida-USA-2.pdf
|
|
Marc: |
LEADER 02188naa a2200181 a 4500
001 1938847
005 2021-11-11
008 2012 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1029/2012JG001982$2DOI
100 1 $aVASQUES, G. de M.
245 $aInfluence of the spatial extent and resolution of input data on soil carbon models in Florida, USA.$h[electronic resource]
260 $c2012
520 $aUnderstanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, but may be influenced by scale parameters, including the spatial extent and resolution of input data. Our objective was to investigate the influence of these scale parameters on soil C spatial predictive models in Florida, USA. We used data from three nested spatial extents (Florida, 150,000 km2; Santa Fe River watershed, 3,585 km2; and University of Florida Beef Cattle Station, 5.58 km2) to derive stepwise linear models of soil C as a function of 24 environmental properties. Models were derived within the three extents and for seven resolutions (30?1920 m) of input environmental data in Florida and in the watershed, then cross-evaluated among extents and resolutions, respectively. The quality of soil C models increased with an increase in the spatial extent (R2 from 0.10 in the cattle station to 0.61 in Florida) and with a decrease in the resolution of input data (R2 from 0.33 at 1920-m resolution to 0.61 at 30-m resolution in Florida). Soil and hydrologic variables were the most important across the seven resolutions both in Florida and in the watershed. The spatial extent and resolution of environmental covariates modulate soil C variation and soil-landscape correlations influencing soil C predictive models. Our results provide scale boundaries to observe environmental data and assess soil C spatial patterns, supporting C sequestration, budgeting and monitoring programs.
653 $aSoil carbon
653 $aSoil carbon models
700 1 $aGRUNWALD, S.
700 1 $aMYERS, D. B.
773 $tJournal of Geophysical Research Geosciences$gv. 117, n. G4, 2012.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 319 | |
| 8. |  | PIOVEZAN, U.; URBANETZ, C.; SOUZA, A. P. de; FEIDEN, A. Estudos para o controle do caramujo africano (Achatina fulica, Bowdich 1822) na APA Baia Negra, Ladário, MS. Cadernos de Agroecologia, Porto Alegre, v. 13, n. 1, jul. 2018. Não paginado. Edição dos anais do VI Congresso Latino-Americano de Agroecologia (CLAA), X Congresso Brasileiro de Agroecologia (CBA), V Seminário de Agroecologia do Distrito Federal e Entorno (SEMDF), set. 2017, Brasília, DF.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Pantanal. |
|    |
| 9. | | PIOVEZAN, U.; URBANETZ, C.; SOUZA, A. P. de; FEIDEN, A. Estudos para o controle do caramujo africano (Achatina fulica, Bowdich 1822) na APA Baia Negra, Ladário, MS. Cadernos de Agroecologia, Porto Alegre, v. 13, n. 1, jul. 2018. Não paginado. Edição dos anais do VI Congresso Latino-Americano (CLAA), X Congresso Brasileiro (CBA), V Seminário do DF e Entorno (SEMDF), set. 2017, Brasília, DF.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
| |
| 10. | | MAROUELLI, L. P.; SOUZA, A. P. V.; TORRES, A. C. Indução de embriogênese somática em Heliconia rostrata. Horticultura Brasileira, Brasília, DF, v. 23, n. 2, ago. 2005. Suplemento 2. CD-ROM. Trabalho apresentado no 45. Congresso Brasileiro de Olericultura, Fortaleza, 2005. Publicado também como resumo em: Horticultura Brasileira, Brasília, DF, v. 23, n. 2, p. 597, ago. 2005. Suplemento 1.| Biblioteca(s): Embrapa Hortaliças. |
| |
| 11. | | CASTAGNA, D.; VENDRUSCULO, L. G.; SOUZA, A. P. de. Índice de erosividade para o município de Sorriso, Mato Grosso. In: ENCONTRO DE CIÊNCIA E TECNOLOGIAS AGROSSUSTENTÁVEIS, 4.; JORNADA CIENTÍFICA DA EMBRAPA AGROSSILVIPASTORIL, 9., 2020, Sinop. Resumos... Brasília, DF: Embrapa, 2020. p. 12.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 12. | | CASTAGNA, D.; VENDRUSCULO, L. G.; SOUZA, A. P. de. Índice de erosividade para o município de Sorriso, Mato Grosso. In: ENCONTRO DE CIÊNCIA E TECNOLOGIAS AGROSSUSTENTÁVEIS, 4.; JORNADA CIENTÍFICA DA EMBRAPA AGROSSILVIPASTORIL, 9., 2020, Sinop. Resumos... Brasília, DF: Embrapa, 2020. p. 12.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrossilvipastoril. |
| |
| 17. | | FERREIRA, R. C. U. (; CHIARI, L.; SOUZA, A. P. Transferibilidade de marcadores microssatélites entre espécies do gênero Urochloa. WORKSHOP MELHORAMENTO VEGETAL, 2., 2016, Campo Grande, MS. Contribuições, Avanços e perspectivas para o Cerrado brasileiro. Anais... Campo Grande, MS: SBMP, 2016.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 18. | | RIEGER, F. A.; ZOLIN, C. A.; PAULINO, J.; JÚNIOR CAZARIN, A.; SOUZA, A. P. de. Avaliação do escoamento superficial em diferentes usos e coberturas do solo In: CONGRESSO BRASILEIRO DE ENGENHARIA AGRÍCOLA, 42., 2013, Fortaleza. Anais... Fortaleza, CE: CONBEA, 2013.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrossilvipastoril. |
| |
| Registros recuperados : 319 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
