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/lp/springer_journal/development-of-pedotransfer-functions-for-predicting-the-bulk-density-aSGinHTpCV
- Publisher
- Springer Journals
- Copyright
- Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
- Subject
- Environment; Soil Science & Conservation; Environment, general; Environmental Physics
- ISSN
- 1439-0108
- eISSN
- 1614-7480
- D.O.I.
- 10.1007/s11368-018-2040-1
- Publisher site
- See Article on Publisher Site
Abstract
Purpose The bulk density (BD) is an important physical property of soil, which is used to estimate soil carbon/nutrient reserves, and it is an important parameter in various predictive and descriptive models. However, BD data are lacking due to the difficulty of measuring it directly. Pedotransfer function (PTF) may provide an alternative method for estimating BD indirectly based on easily measured soil properties. The Loess Plateau in China (620,000 km ) has deep loess deposits (50–200 m), which makes it difficult to obtain BD values for the deep soil layer, and thus, a PTF is needed for estimating BD. Materials and methods In this study, multiple linear regression (MLR) and artificial neural network (ANN) methods were used to develop BD PTFs for the deep layer of the Loess Plateau based on the soil organic carbon, texture, and depth. In total, 534 undisturbed soil cores were obtained by soil core drilling from five typical sites, ranging from the top of the soil profile to the bedrock. Results and discussion The BD values all exhibited low variation (CV < 10%). Pearson’s correlation coefficient analysis showed that BD had significant correlations with the sand, silt, clay, soil organic carbon (SOC), and depth
Journal
Journal of Soils and Sediments – Springer Journals
Published: May 28, 2018
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