Open Research Newcastle
Browse

Spatial uncertainty of (137)Cs-derived net (1950s-1990) soil redistribution for Australia

Download (3.14 MB)
journal contribution
posted on 2025-05-09, 08:53 authored by Adrian Chappell, Raphael A. Viscarra Rossel, Robert Loughran
The caesium‐137 (137Cs) technique has been used successfully in many parts of the world to estimate net (ca. 30–50 years) soil redistribution by wind and water erosion and tillage activities. The point‐based technique has hitherto been confined largely to individual fields and hillslopes, particularly in Australia. Its application here to the Australian continent (≈5 km grid) was achieved using geostatistics and nationally coordinated measurements (early 1990s) from ≈200 locations at the ≈1 km scale. A map of the 137Cs reference inventory for Australia has been previously established. Sequential indicator co‐simulation of the 137Cs inventory and the Australian Soil Classification was used to estimate net (between mid‐1950s and early 1990s) soil redistribution using the Australian Empirical Model. This geostatistical approach showed that nearly five times more soil was lost from cultivated land (−4.29 to +0.17t ha-1 yr-1) than from uncultivated (−0.91 to +0.05t ha-1yr-1) land in Australia. This information on spatial uncertainty is essential for regional soil management to assess the risk to soil conservation. Soil erosion exceeding a tolerable threshold value (e.g., 0.5 t ha-1 yr-1) occurred over 16% of Australia, mainly in cultivated regions (median = −1.26t ha-1yr-1). Soil erosion estimates are neglected in carbon balances for greenhouse gas abatement and carbon accounting models. Reliable quantitative data on the recent extent and rates of soil erosion are needed to underpin the selection of effective soil conservation measures, to inform carbon balances and to understand regional soil function for sustainable agricultural systems.

History

Journal title

Journal of Geophysical Research-Earth Surface

Volume

116

Publisher

American Geophysical Union

Language

  • en, English

College/Research Centre

Faculty of Science and Information Technology

School

School of Environmental and Life Sciences

Usage metrics

    Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC