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Development of pedotransfer functions for predicting the bulk density in the critical zone on the Loess Plateau, China

Development of pedotransfer functions for predicting the bulk density in the critical zone on the... 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Soils and Sediments Springer Journals

Development of pedotransfer functions for predicting the bulk density in the critical zone on the Loess Plateau, China

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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
DOI
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

References

  • Modeling soil hydraulic properties for a wide range of soil conditions
    Balland, V; Pollacco, JAP; Arp, PA
  • Pedotransfer functions for estimating soil bulk density from existing soil survey reports in Brazil
    Benites, VM; Machado, PLOA; Fidalgo, ECC; Coelho, MR; Madari, BE
  • Pedotransfer functions to estimate soil bulk density for Northern Africa: Tunisia case
    Brahim, N; Bernoux, M; Gallali, T
  • Soil physical quality : part I. Theory, effects of soil texture, density, and organic matter, and effects on root growth
    Dexter, AR
  • Using soil physical and chemical properties to estimate bulk density
    Heuscher, SA; Brandt, CC; Jardine, PM
  • Empirically-derived pedotransfer functions for predicting bulk density in European soils
    Hollis, JM; Hannam, J; Bellamy, PH
  • Soil shrinkage and hydrostructural characteristics of three swelling soils in Shaanxi
    Huang, C; Shao, M; Tan, W
  • A pedo-transfer function (PTF) for estimating soil bulk density from basic soil data and its comparison with existing PTFs
    Kaur, R; Kumar, S; Gurung, HP
  • Estimating soil hydraulic properties of Fengqiu County soils in the North China Plain using pedo-transfer functions
    Li, Y; Chen, D; White, RE; Zhu, A; Zhang, J
  • Earth’s critical zone and hydropedology: concepts, characteristics, and advances
    Lin, H
  • Analysing the silt particles with the Malvern Mastersizer 2000
    Liu, YP; Tong, J; Li, XN
  • Comparison of artificial neural network and regression pedotransfer functions for prediction of soil water retention and saturated hydraulic conductivity
    Merdun, H; Çınar, Ö; Meral, R; Apan, M
  • Spatial estimation of saturated hydraulic conductivity from terrain attributes using regression, kriging, and artificial neural networks
    Motaghian, HR; Mohammadi, J
  • A pedotransfer function for estimating bulk density of forest soil in Japan affected by volcanic ash
    Nanko, K; Ugawa, S; Hashimoto, S; Imaya, A; Kobayashi, M; Sakai, H; Ishizuka, S; Miura, S; Tanaka, N; Takahashi, M
  • Basic research opportunities in earth science
  • Pedotransfer functions for soil hydraulic properties developed from a hilly watershed of Eastern India
    Santra, P; Das, BS
  • Soil and water loss from the Loess Plateau in China
    Shi, H; Shao, M
  • Soil bulk density pedotransfer functions of the humus horizon in arable soils
    Suuster, E; Ritz, C; Roostalu, H; Reintam, E; Kõlli, R; Astover, A
  • Building and testing conceptual and empirical models for predicting soil bulk density
    Tranter, G; Minasny, B; Mcbratney, AB; Murphy, B; Mckenzie, NJ; Grundy, M; Brough, D
  • Predictive quality of pedotransfer functions for estimating bulk density of forest soils
    Vos, BD; Meirvenne, MV; Quataert, P; Deckers, J; Muys, B
  • Soil desiccation for Loess soils on natural and regrown areas
    Wang, L; Wang, Q; Wei, S; Shao, MA; Li, Y
  • Regional-scale variation and distribution patterns of soil saturated hydraulic conductivities in surface and subsurface layers in the loessial soils of China
    Wang, Y; Shao, MA; Liu, Z; Horton, R
  • Prediction of bulk density of soils in the Loess Plateau region of China
    Wang, Y; Shao, MA; Liu, Z; Zhang, C
  • Modeling multidimensional flow in wettable and water-repellent soils using artificial neural networks
    Xiong, Y; Wallach, R; Furman, A
  • Evaluation of pedotransfer functions for estimating saturated hydraulic conductivity in coastal salt-affected mud farmland
    Yao, RJ; Yang, JS; Wu, DH; Li, FR; Gao, P; Wang, XP
  • Pedotransfer functions for estimating soil bulk density:a case study in the three-river headwater region of Qinghai Province, China
    Yi, X; Li, G; Yin, Y