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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
14/10/2016 |
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Data da última atualização: |
18/10/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SEVEGNANI, L.; UHLMANN, A.; GASPER, A. L. de; MEYER, L.; VIBRANS, A. C. |
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Afiliação: |
Lucia Sevegnani, FURB; ALEXANDRE UHLMANN, CNPF; Andre Luís de Gasper, FURB; Leila Meyer, UFG; Alexander Christian Vibrans, FURB. |
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Título: |
Climate affects the structure of mixed rain forest in southern sector of Atlantic domain in Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Acta Oecologica, v. 77, p. 109-117, Nov. 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to analyze the influence of environmental factors in determining the variation in forest structure. We obtained the data through sampling units placed regularly in a grid of 10 km 10 km in the state of Santa Catarina, southern Brazil. The axes of Detendred Correspondence Analysis summarized the vegetation structure and we used these as response variables in ordinary least square models, and environmental variables as predictors. Moran Eigenvector Maps were used as spatial predictors, enabling the variance partitioning. The results revealed influence of climatic factors, especially thermal and rainfall in determining the vegetation structure. The physical geography (high plateaus) and positioning below the Tropic of Capricorn line are the main static elements influencing the climate and therefore the vegetation. |
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Palavras-Chave: |
Estrutura florestal; Mata atlântica; Subtropical forests. |
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Thesagro: |
Altitude; Araucaria; Clima. |
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Thesaurus Nal: |
Climate; Rain forests. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01579naa a2200265 a 4500
001 2054692
005 2016-10-18
008 2016 bl uuuu u00u1 u #d
100 1 $aSEVEGNANI, L.
245 $aClimate affects the structure of mixed rain forest in southern sector of Atlantic domain in Brazil.$h[electronic resource]
260 $c2016
520 $aThis study aimed to analyze the influence of environmental factors in determining the variation in forest structure. We obtained the data through sampling units placed regularly in a grid of 10 km 10 km in the state of Santa Catarina, southern Brazil. The axes of Detendred Correspondence Analysis summarized the vegetation structure and we used these as response variables in ordinary least square models, and environmental variables as predictors. Moran Eigenvector Maps were used as spatial predictors, enabling the variance partitioning. The results revealed influence of climatic factors, especially thermal and rainfall in determining the vegetation structure. The physical geography (high plateaus) and positioning below the Tropic of Capricorn line are the main static elements influencing the climate and therefore the vegetation.
650 $aClimate
650 $aRain forests
650 $aAltitude
650 $aAraucaria
650 $aClima
653 $aEstrutura florestal
653 $aMata atlântica
653 $aSubtropical forests
700 1 $aUHLMANN, A.
700 1 $aGASPER, A. L. de
700 1 $aMEYER, L.
700 1 $aVIBRANS, A. C.
773 $tActa Oecologica$gv. 77, p. 109-117, Nov. 2016.
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Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
28/09/2022 |
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Data da última atualização: |
28/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
OLIVEIRA, J. F. de; BROSSARD, M.; CORAZZA, E. J.; GUIMARAES, M. de F.; MARCHAO, R. L. |
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Afiliação: |
JOSE FRANCIRLEI DE OLIVEIRA; MICHEL BROSSARD; EDEMAR JOAQUIM CORAZZA, SUCOM; MARIA DE FATIMA GUIMARAES; ROBELIO LEANDRO MARCHAO, CPAC. |
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Título: |
Field-scale spatial correlation between soil and Vis-NIR spectra in the Cerrado biome of Central Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Geoderma Regional, v. 30, e00532, 2022. |
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Páginas: |
13 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Visible and near-infrared (Vis-NIR) spectroscopy is a tool to determine soil spatial variability and has been used to map soils and their properties. Considering that physical, chemical, mineralogical, and morphological soil properties can affect the intensity and the depth of the spectral reflectance band in the Vis-NIR region, the objectives of this work were to: (i) evaluate the potential of the reflectance inflection difference (RID) to discriminate soils; and (ii) verify potential spatial correlations of the RID with soil properties, compared with the full spectra, in order to build thematic maps at a field scale. In a farm of 375 ha, 78 soil samples from the 0.87?0.92-m depth were collected in a regular grid of 200 m, with a focus on the soil diagnostic horizon (Bw horizon). The sampled soils were a Latossolo Vermelho-Amarelo ́ acrico (Haplic Ferralsol) and a Latossolo Ver- melho distrofico ́ (Rhodic Ferralsol). Twenty-two physical, chemical, mineralogical, and morphological soil properties were determined, and the Vis-NIR spectra between 400 and 2500 nm were measured. Considering the presence of an inflection band and its relationship with soil properties, the spectral bands used to calculate the RID were between (base 1/base 2): 400?510, 730?930, 1290?1450, 1800?1950, 2000?2218, and 2218?2290 nm. The RID failed to map the spatial variability of soil properties, with a Kappa index of 39%; therefore, it is not a good parameter for building thematic maps of soil parameters. In addition, the complete spectrum (mainly in 400?510, 730?930, 1290?1450, 1800?1950, 2000?2218, and 2218?2290 nm) was better spatially correlated with soil properties than the decomposition of the spectrum by the RID. Soil classification and level of dis- cretization as affected by spectral variability were also discussed here. Three soil groups were discriminated mainly by the Ki and Kr indexes and clay content. Moreover, the variability of the spectra was conditioned by the spatial variability of the mentioned variables. The clay content for soils with a discrepant particle size (group 1 compared with groups 2 and 3) and the Ki and Kr indexes for soils with a homogeneous particle size (between groups 2 and 3), associated with the full Vis-NIR spectral analysis, allowed building thematic maps with a good precision, without the need of mathematical models; this was possible by the modification of the reflectance intensity and the size of the concavity of the spectral band. MenosVisible and near-infrared (Vis-NIR) spectroscopy is a tool to determine soil spatial variability and has been used to map soils and their properties. Considering that physical, chemical, mineralogical, and morphological soil properties can affect the intensity and the depth of the spectral reflectance band in the Vis-NIR region, the objectives of this work were to: (i) evaluate the potential of the reflectance inflection difference (RID) to discriminate soils; and (ii) verify potential spatial correlations of the RID with soil properties, compared with the full spectra, in order to build thematic maps at a field scale. In a farm of 375 ha, 78 soil samples from the 0.87?0.92-m depth were collected in a regular grid of 200 m, with a focus on the soil diagnostic horizon (Bw horizon). The sampled soils were a Latossolo Vermelho-Amarelo ́ acrico (Haplic Ferralsol) and a Latossolo Ver- melho distrofico ́ (Rhodic Ferralsol). Twenty-two physical, chemical, mineralogical, and morphological soil properties were determined, and the Vis-NIR spectra between 400 and 2500 nm were measured. Considering the presence of an inflection band and its relationship with soil properties, the spectral bands used to calculate the RID were between (base 1/base 2): 400?510, 730?930, 1290?1450, 1800?1950, 2000?2218, and 2218?2290 nm. The RID failed to map the spatial variability of soil properties, with a Kappa index of 39%; therefore, it is not a good parameter for building thematic maps of so... Mostrar Tudo |
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Palavras-Chave: |
Diferença de inflexão de refletância; Índices Ki e Kr; Variabilidade espacial do solo. |
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Thesagro: |
Espectrometria. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03213naa a2200229 a 4500
001 2146935
005 2022-09-28
008 2022 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, J. F. de
245 $aField-scale spatial correlation between soil and Vis-NIR spectra in the Cerrado biome of Central Brazil.$h[electronic resource]
260 $c2022
300 $a13 p.
520 $aVisible and near-infrared (Vis-NIR) spectroscopy is a tool to determine soil spatial variability and has been used to map soils and their properties. Considering that physical, chemical, mineralogical, and morphological soil properties can affect the intensity and the depth of the spectral reflectance band in the Vis-NIR region, the objectives of this work were to: (i) evaluate the potential of the reflectance inflection difference (RID) to discriminate soils; and (ii) verify potential spatial correlations of the RID with soil properties, compared with the full spectra, in order to build thematic maps at a field scale. In a farm of 375 ha, 78 soil samples from the 0.87?0.92-m depth were collected in a regular grid of 200 m, with a focus on the soil diagnostic horizon (Bw horizon). The sampled soils were a Latossolo Vermelho-Amarelo ́ acrico (Haplic Ferralsol) and a Latossolo Ver- melho distrofico ́ (Rhodic Ferralsol). Twenty-two physical, chemical, mineralogical, and morphological soil properties were determined, and the Vis-NIR spectra between 400 and 2500 nm were measured. Considering the presence of an inflection band and its relationship with soil properties, the spectral bands used to calculate the RID were between (base 1/base 2): 400?510, 730?930, 1290?1450, 1800?1950, 2000?2218, and 2218?2290 nm. The RID failed to map the spatial variability of soil properties, with a Kappa index of 39%; therefore, it is not a good parameter for building thematic maps of soil parameters. In addition, the complete spectrum (mainly in 400?510, 730?930, 1290?1450, 1800?1950, 2000?2218, and 2218?2290 nm) was better spatially correlated with soil properties than the decomposition of the spectrum by the RID. Soil classification and level of dis- cretization as affected by spectral variability were also discussed here. Three soil groups were discriminated mainly by the Ki and Kr indexes and clay content. Moreover, the variability of the spectra was conditioned by the spatial variability of the mentioned variables. The clay content for soils with a discrepant particle size (group 1 compared with groups 2 and 3) and the Ki and Kr indexes for soils with a homogeneous particle size (between groups 2 and 3), associated with the full Vis-NIR spectral analysis, allowed building thematic maps with a good precision, without the need of mathematical models; this was possible by the modification of the reflectance intensity and the size of the concavity of the spectral band.
650 $aEspectrometria
653 $aDiferença de inflexão de refletância
653 $aÍndices Ki e Kr
653 $aVariabilidade espacial do solo
700 1 $aBROSSARD, M.
700 1 $aCORAZZA, E. J.
700 1 $aGUIMARAES, M. de F.
700 1 $aMARCHAO, R. L.
773 $tGeoderma Regional$gv. 30, e00532, 2022.
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