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Pedotransfer functions related to spatial variability of water retention attributes for lowland soils

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Abstract
The estimation of non available soil variables through the knowledge of other related measured variables can be achieved through pedotransfer functions (PTF) mainly saving time and reducing cost. Great differences among soils, however, can yield non desirable results when applying this method. This study discusses the application of developed PTFs by several authors using a variety of soils of different characteristics, to evaluate soil water contents of two Brazilian lowland soils. Comparisons are made between PTF evaluated data and field measured data, using statistical and geostatistical tools, like mean error, root mean square error, semivariogram, cross-validation, and regression coefficient. The eight tested PTFs to evaluate gravimetric soil water contents (Ug) at the tensions of 33 kPa and 1,500 kPa presented a tendency to overestimate Ug (33) (kPa) and underestimate Ug(1,500 kPa). The PTFs were ranked according to their performance and also with respect to their potential in describing the structure of the spatial variability of the set of measured values. Although none of the PTFs have changed the distribution pattern of the data, all resulted in mean and variance statistically different from those observed for all measured values. The PTFs that presented the best predictive values of Ug(33 kPa) and Ug(1,500 kPa) were not the same that had the best performance to reproduce the structure of spatial variability of these variables.
Keywords
Gleisol, hydraulic properties, CAPACITY, TEXTURE, HYDRAULIC CONDUCTIVITY, ORGANIC-CARBON, PEDO-TRANSFER FUNCTIONS, BULK-DENSITY, regression models, geostatistics, Planosol, soil water content

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Chicago
Carvalho Nebel, Álvaro Luiz, Luis Carlos Timm, Wim Cornelis, Donald Gabriëls, Klaus Reichardt, Leandro Sanzi Aquino, Eloy Antonio Pauletto, and Dalvan José Reinert. 2010. “Pedotransfer Functions Related to Spatial Variability of Water Retention Attributes for Lowland Soils.” Revista Brasileira De Ciencia Do Solo 34 (3): 669–680.
APA
Carvalho Nebel, Á. L., Timm, L. C., Cornelis, W., Gabriëls, D., Reichardt, K., Aquino, L. S., Pauletto, E. A., et al. (2010). Pedotransfer functions related to spatial variability of water retention attributes for lowland soils. REVISTA BRASILEIRA DE CIENCIA DO SOLO, 34(3), 669–680.
Vancouver
1.
Carvalho Nebel ÁL, Timm LC, Cornelis W, Gabriëls D, Reichardt K, Aquino LS, et al. Pedotransfer functions related to spatial variability of water retention attributes for lowland soils. REVISTA BRASILEIRA DE CIENCIA DO SOLO. 2010;34(3):669–80.
MLA
Carvalho Nebel, Álvaro Luiz, Luis Carlos Timm, Wim Cornelis, et al. “Pedotransfer Functions Related to Spatial Variability of Water Retention Attributes for Lowland Soils.” REVISTA BRASILEIRA DE CIENCIA DO SOLO 34.3 (2010): 669–680. Print.
@article{1069807,
  abstract     = {The estimation of non available soil variables through the knowledge of other related measured variables can be achieved through pedotransfer functions (PTF) mainly saving time and reducing cost. Great differences among soils, however, can yield non desirable results when applying this method. This study discusses the application of developed PTFs by several authors using a variety of soils of different characteristics, to evaluate soil water contents of two Brazilian lowland soils. Comparisons are made between PTF evaluated data and field measured data, using statistical and geostatistical tools, like mean error, root mean square error, semivariogram, cross-validation, and regression coefficient. The eight tested PTFs to evaluate gravimetric soil water contents (Ug) at the tensions of 33 kPa and 1,500 kPa presented a tendency to overestimate Ug (33) (kPa) and underestimate Ug(1,500 kPa). The PTFs were ranked according to their performance and also with respect to their potential in describing the structure of the spatial variability of the set of measured values. Although none of the PTFs have changed the distribution pattern of the data, all resulted in mean and variance statistically different from those observed for all measured values. The PTFs that presented the best predictive values of Ug(33 kPa) and Ug(1,500 kPa) were not the same that had the best performance to reproduce the structure of spatial variability of these variables.},
  author       = {Carvalho Nebel, {\'A}lvaro Luiz and Timm, Luis Carlos and Cornelis, Wim and Gabri{\"e}ls, Donald and Reichardt, Klaus and Aquino, Leandro Sanzi and Pauletto, Eloy Antonio and Reinert, Dalvan Jos{\'e}},
  issn         = {0100-0683},
  journal      = {REVISTA BRASILEIRA DE CIENCIA DO SOLO},
  keyword      = {Gleisol,hydraulic properties,CAPACITY,TEXTURE,HYDRAULIC CONDUCTIVITY,ORGANIC-CARBON,PEDO-TRANSFER FUNCTIONS,BULK-DENSITY,regression models,geostatistics,Planosol,soil water content},
  language     = {eng},
  number       = {3},
  pages        = {669--680},
  title        = {Pedotransfer functions related to spatial variability of water retention attributes for lowland soils},
  volume       = {34},
  year         = {2010},
}

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