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Open AccessEditor’s ChoiceArticle

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

Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via della Navicella 2–4, 00184 Rome, Italy
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Land 2020, 9(10), 349; https://doi.org/10.3390/land9100349
Received: 25 August 2020 / Revised: 21 September 2020 / Accepted: 22 September 2020 / Published: 24 September 2020
(This article belongs to the Special Issue Soil Management for Sustainability)
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 km2), 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. View Full-Text
Keywords: soil organic carbon; digital soil mapping; regression-kriging; central Italy soil organic carbon; digital soil mapping; regression-kriging; central Italy
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MDPI and ACS Style

Piccini, C.; Francaviglia, R.; Marchetti, A. Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy). Land 2020, 9, 349. https://doi.org/10.3390/land9100349

AMA Style

Piccini C, Francaviglia R, Marchetti A. Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy). Land. 2020; 9(10):349. https://doi.org/10.3390/land9100349

Chicago/Turabian Style

Piccini, Chiara; Francaviglia, Rosa; Marchetti, Alessandro. 2020. "Predicted Maps for Soil Organic Matter Evaluation: The Case of Abruzzo Region (Italy)" Land 9, no. 10: 349. https://doi.org/10.3390/land9100349

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