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Mapping soil erodibility from composed data set in Sele River Basin, Italy

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  • Nazzareno Diodato
  • Massimo Fagnano
  • Ines Alberico
  • Giovanni Chirico

Abstract

Evaluation of soil erodibility is an important task for Mediterranean lands, in which fertility and crop yield are significantly affected by soil erosion. The soil physicochemical parameters affecting soil erodibility are highly variable in space and, as for many other environmental variables, sample measurements are generally not enough for assessing its spatial variability with an acceptable level of uncertainty at the scales of practical interest. This study illustrates the procedure applied for estimating the pattern of soil erodibility across the Sele Basin (Southern Italy), where soil properties have been measured on a limited number of sparse samples. Sampled data were integrated with other sparse data estimated by local regression functions, which relate soil erodibility to auxiliary variables, such as terrain attributes and land system class memberships. Sampled and estimated data were merged in a composed data set to assess the spatial pattern of soil erodibility by ordinary kriging. The proposed approach offers effective spatial predictions, and it is exportable to regions where financial costs for soil sampling are not feasible. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Nazzareno Diodato & Massimo Fagnano & Ines Alberico & Giovanni Chirico, 2011. "Mapping soil erodibility from composed data set in Sele River Basin, Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 445-457, July.
    • Handle: RePEc:spr:nathaz:v:58:y:2011:i:1:p:445-457
    DOI: 10.1007/s11069-010-9679-2
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    References listed on IDEAS

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    1. Bourennane, H. & King, D. & Couturier, A. & Nicoullaud, B. & Mary, B. & Richard, G., 2007. "Uncertainty assessment of soil water content spatial patterns using geostatistical simulations: An empirical comparison of a simulation accounting for single attribute and a simulation accounting for ," Ecological Modelling, Elsevier, vol. 205(3), pages 323-335.
    2. Dalal-Clayton, Barry & David, Dent, 2001. "Knowledge of the Land: Land resource information and its use in rural development," OUP Catalogue, Oxford University Press, number 9780198296010.
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    Cited by:

    1. Paolo Magliulo & Angelo Cusano & Filippo Russo, 2021. "Land-Use Changes in the Sele River Basin Landscape (Southern Italy) between 1960 and 2012: Comparisons and Implications for Soil Erosion Assessment," Geographies, MDPI, vol. 1(3), pages 1-18, November.
    2. Sabia, Emilio & Napolitano, Fabio & Claps, Salvatore & De Rosa, Giuseppe & Barile, Vittoria Lucia & Braghieri, Ada & Pacelli, Corrado, 2018. "Environmental impact of dairy buffalo heifers kept on pasture or in confinement," Agricultural Systems, Elsevier, vol. 159(C), pages 42-49.
    3. Forte, Annachiara & Zucaro, Amalia & Faugno, Salvatore & Basosi, Riccardo & Fierro, Angelo, 2018. "Carbon footprint and fossil energy consumption of bio-ethanol fuel production from Arundo donax L. crops on marginal lands of Southern Italy," Energy, Elsevier, vol. 150(C), pages 222-235.

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