2015
DOI: 10.1590/s1413-70542015000400003
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Pedotransfer Functions for Water Retention in the Main Soils From the Brazilian Coastal Plains

Abstract: Pedotransfer functions (PTFs) are equations used to estimate soil characteristics difficult to determine from other easily obtained ones. Water retention in soil is used in several agronomic and environmental applications, but its direct determination is time consuming and onerous, therefore PTFs are alternatives to obtaining this information more quickly and economically. The aims of this study were to generate a database and develop PTFs for water retention at potentials of -33 kPa (field capacity) and -1500… Show more

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Cited by 7 publications
(4 citation statements)
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“…The lack of financial support along with the large area of the country and the scarcity of roads are some of the main issues restricting the creation of more detailed soil maps, since they require intensive field work for sampling and classifying soils. In this sense, digital soil mapping and modeling are viewed as an alternative to increase not only soil information [3], but also the accuracy required for detailed soil maps, by the adoption of new tools and techniques to analyze, integrate and visualize soil and environmental datasets [4]. In recent years, extra effort has been put into the creation and use of new covariates that represent soil-forming factors [5,6], which are crucial for achieving adequate accuracy in soil mapping and a properties [17,[31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…The lack of financial support along with the large area of the country and the scarcity of roads are some of the main issues restricting the creation of more detailed soil maps, since they require intensive field work for sampling and classifying soils. In this sense, digital soil mapping and modeling are viewed as an alternative to increase not only soil information [3], but also the accuracy required for detailed soil maps, by the adoption of new tools and techniques to analyze, integrate and visualize soil and environmental datasets [4]. In recent years, extra effort has been put into the creation and use of new covariates that represent soil-forming factors [5,6], which are crucial for achieving adequate accuracy in soil mapping and a properties [17,[31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…The RMSE and ME values were increased from 0.1 bar to 15 bar for the sandy soils. In the study by Silva et al (2015), the R 2 values were found to be 0.41 to 0.73 for 0.33 bar, and 0.58 to 0.75 for the 15 bar moisture content estimation models.…”
Section: Resultsmentioning
confidence: 94%
“…The RMSE and ME values were increased from 0.1 bar to 15 bar for the sandy soils. In the study by Silva et al (2015), the R 2 values were found to be 0.41 to 0.73 for 0.33 bar, and 0.58 to 0.75 for the 15 bar moisture content estimation models. In another similar study, the R 2 value obtained was found to be between 0.23 and 0.85 for moisture constants (Mohanty et al 2014), which is like in this study.…”
Section: Resultsmentioning
confidence: 94%
“…Propriedades físico-hídricas do solo, como a curva de retenção, também podem ser estimadas indiretamente por meiode correlações com dados básicos do solo, como a granulometria, densidade e teor de matéria orgânica (ŠIMŮNEKet al, 2012). Esses métodos indiretos são denominados funções de pedotransferência, podendo substituir procedimentos padrões morosos e dispendiosos (BARROS et al, 2013;SILVA et al, 2015).…”
Section: Introductionunclassified