Century-long soil profile truncation in eastern South Dakota agricultural fields

Soil loss remains a barrier to long-term sustainable agro-ecosystems. It is difficult to accurately quantify soil loss over multidecade time periods due to a lack of useful legacy data. Utilizing thirteen previously unseen soil survey descriptions of agricultural soils from the 1920′s and 1950′s in...

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Bibliographic Details
Main Authors: Eli Halverson, Douglas Malo, Kristopher Osterloh
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Geoderma
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Online Access:http://www.sciencedirect.com/science/article/pii/S001670612500237X
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Summary:Soil loss remains a barrier to long-term sustainable agro-ecosystems. It is difficult to accurately quantify soil loss over multidecade time periods due to a lack of useful legacy data. Utilizing thirteen previously unseen soil survey descriptions of agricultural soils from the 1920′s and 1950′s in eastern South Dakota, USA, we quantify soil loss over the last century. Although the descriptions are missing nomenclature, they include marker features such as horizon depths, depth to carbonates, texture class, and depth to parent material. By revisiting and resampling the original locations, modern soil descriptions were utilized to assess the approximate 100-year changes in soil horizon thickness and morphological differences to quantify the amount of soil lost over the period. Changes in depth to carbonates, horizon depths and boundaries, texture changes and contrast, and depth to parent material were used to quantify the range in soil loss and potential mixing of subsurface and surface soil horizons. The average total amount of soil lost was 18.0 cm (1926 to 2023) and 14.9 cm (1955 to 2023). The resulting annual historical rates and masses of soil loss were between 1.9–2.2 mm yr−1 and 26.0–30.6 Mg ha yr−1, which is comparable to regional studies that utilized shorter timescales. This study highlights the utility of legacy soil datasets as well as the importance of tracking long-term anthropogenic impacts for pedological modeling.
ISSN:1872-6259