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Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)

Author

Listed:
  • Chiara Piccini

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via della Navicella 2–4, 00184 Rome, Italy)

  • Rosa Francaviglia

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via della Navicella 2–4, 00184 Rome, Italy)

  • Alessandro Marchetti

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via della Navicella 2–4, 00184 Rome, Italy)

Abstract

Organic matter, an important component of healthy soils, may be used as an indicator in sustainability assessments. Managing soil carbon storage can foster agricultural productivity and environmental quality, reducing the severity and costs of natural phenomena. Thus, accurately estimating the spatial variability of soil organic matter (SOM) is crucial for sustainable soil management when planning agro-environmental measures at the regional level. SOM variability is very large in Italy, and soil organic carbon (SOC) surveys considering such variability are difficult and onerous. The study concerns the Abruzzo Region (about 10,800 km 2 ), in Central Italy, where data from 1753 soil profiles were available, together with a Digital Elevation Model (DEM) and Landsat images. Some morphometric parameters and spectral indices with a significant degree of correlation with measured data were used as predictors for regression-kriging (RK) application. Estimated map of SOC stocks, and of SOM related to USDA (United States Department of Agriculture) texture—an additional indicator of soil quality—were produced with a satisfactory level of accuracy. Results showed that SOC stocks and SOM concentrations in relation to texture were lower in the hilly area along the shoreline, pointing out the need to improve soil management to guarantee agricultural land sustainability.

Suggested Citation

  • Chiara Piccini & Rosa Francaviglia & Alessandro Marchetti, 2020. "Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)," Land, MDPI, vol. 9(10), pages 1-14, September.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:10:p:349-:d:418711
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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.
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    Cited by:

    1. Huijuan Zhang & Wenkai Liu & Qingfeng Hu & Xiaodong Huang, 2023. "Multi-Scale Integration and Distribution of Soil Organic Matter Spatial Variation in a Coal–Grain Compound Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.

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