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Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review

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Abstract

The rising and continuous pollution of the soil from anthropogenic activities is of great concern. Owing to this concern, the advent of digital soil mapping (DSM) has been a tool that soil scientists use in this era to predict the potentially toxic element (PTE) content in the soil. The purpose of this paper was to conduct a review of articles, summarize and analyse the spatial prediction of potentially toxic elements, determine and compare the models' usage as well as their performance over time. Through Scopus, the Web of Science and Google Scholar, we collected papers between the year 2001 and the first quarter of 2019, which were tailored towards the spatial PTE prediction using DSM approaches. The results indicated that soil pollution emanates from diverse sources. However, it provided reasons why the authors investigate a piece of land or area, highlighting the uncertainties in mapping, number of publications per journal and continental efforts to research as well as published on trending issues regarding DSM. This paper reveals the complementary role machine learning algorithms and the geostatistical models play in DSM. Nevertheless, geostatistical approaches remain the most preferred model compared to machine learning algorithms.

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Acknowledgements

This study was supported by an internal PhD grant no. 21130/3131 of the Faculty of Agrobiology, Food and Natural Resources of the Czech University of Life Sciences, Prague (CZU). The support from the Ministry of Education, Youth and Sports of the Czech Republic (project No. CZ.02.1.01/0.0/0.0/16_019/0000845) is also acknowledged.

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  1. Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Praha 6, Suchdol, Czech Republic

    Prince Chapman Agyeman, Samuel Kudjo Ahado, Luboš Borůvka, James Kobina Mensah Biney, Vincent Yaw Oppong Sarkodie, Ndiye M. Kebonye & John Kingsley

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Agyeman, P.C., Ahado, S.K., Borůvka, L. et al. Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review. Environ Geochem Health 43, 1715–1739 (2021). https://doi.org/10.1007/s10653-020-00742-9

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