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The effects of slope and altitude on soil organic carbon and clay content in different land-uses: A case study in the Czech Republic

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  • Shahin Nozari
  • Luboš Borůvka

    (Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food, and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic)

Abstract

Soil organic carbon (SOC) and clay, as indicators of soil fertility, are mainly used to determine the ability of soil to retain water and store the nutrients that are necessary for plant growth. However, the distribution of SOC and clay is influenced by topography and land-use. In the present study, the relationships between SOC, clay, altitude, and slope in the topsoil of two different districts in the Czech Republic including the Liberec (71 samples) and Domažlice (67 samples) districts were investigated. To analyse the relationships between slope and SOC, linear regression was used. Results showed that SOC content increased when slope, clay, or altitude increased; however, there were no significant correlations between SOC and clay in both districts. Clay increased with decreasing slope, but clay and altitude were not correlated well in both areas. Then, study areas were divided into three land-use types including arable land, forest, and complex system of agriculture, parcels, and forests. Consequently, the correlations between SOC and slope and clay and slope were generally improved, indicating the importance of land-use on SOC and clay content. Additionally, using multiple regression with several topographic factors can provide a better prediction of SOC and clay content in each land-use for both districts, indicating the complex effects of topography on SOC and clay.

Suggested Citation

  • Shahin Nozari & Luboš Borůvka, 2023. "The effects of slope and altitude on soil organic carbon and clay content in different land-uses: A case study in the Czech Republic," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 18(3), pages 204-218.
  • Handle: RePEc:caa:jnlswr:v:18:y:2023:i:3:id:105-2022-swr
    DOI: 10.17221/105/2022-SWR
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    References listed on IDEAS

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    1. Kabindra Adhikari & Alfred E Hartemink & Budiman Minasny & Rania Bou Kheir & Mette B Greve & Mogens H Greve, 2014. "Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-13, August.
    2. Rosa Francaviglia & Jorge Álvaro-Fuentes & Claudia Di Bene & Lingtong Gai & Kristiina Regina & Eila Turtola, 2019. "Diversified Arable Cropping Systems and Management Schemes in Selected European Regions Have Positive Effects on Soil Organic Carbon Content," Agriculture, MDPI, vol. 9(12), pages 1-18, December.
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    1. repec:caa:jnlswr:v:preprint:id:119-2023-swr is not listed on IDEAS
    2. Shahin Nozari & Mohammad Reza Pahlavan-Rad & Colby Brungard & Brandon Heung & Luboš Borůvka, 2024. "Digital soil mapping using machine learning-based methods to predict soil organic carbon in two different districts in the Czech Republic," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 19(1), pages 32-49.

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