From pedotransfer functions to soil inference systems

By Alex B. McBratney, Budiman Minasny, S. Cattle, R. Willem Vervoort. 2002

409 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/f608a72abd4832dcee02bfb91fdf1e7973b5b135

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In Civil and Structural Engineering

In Environmental Engineering

In Soil Science

Citations in the corpus

Correlation of properties of Brazilian Haplustalfs with magnetic susceptibility measurements (2010, background): “Pedotransfer functions, which are mathematical models used to estimate soil attributes from other measured attributes (McBratney et al., 2002), are being increasingly used to provide indirect estimates of soil properties in a simple, rapid and inexpensive way.”
Neural network models to predict cation exchange capacity in arid regions of Iran (2005, methodology): “…3.50 M3 Bell & van Keulen (1995) CEC¼ a0þ a1Clay þ a2OM a0¼ 4.56 a1¼ 0.2 a2¼ 0.3 0.54 3.48 M4 Bell & van Keulen (1995) CEC¼ a0þ a1Clay a0¼ 4.8 a1¼ 0.3 0.40 3.97 M5 McBratney et al. (2002) CEC¼ a0þ a1Clay þ a2Clay*OC a0¼ 6.9 a1¼ 0.1 a2¼ 0.16 0.54 3.51 aCEC is in cmolc kg 1, clay and OM are…”
Modeling soil thermal conductivities over a wide range of conditions (2005, background): “However, for the purpose of generality (McBratney et al. 2002), it is important to know how representative the thermal conductivity calculations would be if globally set values were used”
Assessing soil fertility decline in the tropics using soil chemical data (2006, methodology): “Although there are several techniques to derive soil properties using pedotransfer functions or soil inference systems (McBratney et al., 2002; Pachepsky and Rawls, 2005), the need remains for reliable data to validate and further develop our models and increase the understanding of soil behavior an”
Estimation of Soil Infiltration and Cation Exchange Capacity Based on Multiple Regression, ANN (RBF, MLP), and ANFIS Models (2014, methodology): “The need for models to recognize soil pollution and predict land degradation is essential (McBratney et al. 2002).”
On digital soil mapping (2003, methodology): “Much work has been done on these and it has been reviewed elsewhere (Wösten et al., 2001; McBratney et al., 2002).”
Macropores and water flow in soils revisited (2013, background): “…on small soil samples) presumes that the Darcy-Richards equation holds at larger scales of application, and that the parameter values are constant in time and space for a given soil horizon [see, for example, Wösten, 1999; Acutis and Donatelli, 2003; Schaap et al. 2001; McBratney et al., 2002].”
Estimating Saturated Hydraulic Conductivity Using Genetic Programming (2007, background): “Wösten (1990) and McBratney et al. (2002) underscored the need”
Estimation of Soil Cation Exchange Capacity using Multiple Regression, Artificial Neural Networks, and Adaptive Neuro-fuzzy Inference System Models in Golestan Province, Iran (2015, background): “3 F5 McBratney et al. (2002) CEC = a0 + a1Clay + a2Clay∗OC a0 = 6.”
Modeling soil cation exchange capacity in multiple countries (2017, positive): “The statistically positive and negative relationships observed in this study (with the exception of the Spanish soils) between CEC with clay and sand, respectively, is supported by other studies (McBratney et al., 2002; Ulusoy et al., 2016).”
Validation of the Arya and Paris Water Retention Model for Brazilian Soils (2005, background): “The best mathematical representation of 1999; McBratney et al., 2002).”