Abstract
Geospatial Assessment of Soil Organic Matter Variability at Sidi Bennour District in Doukkala Plain in Morocco
Highlights
Soil is an invaluable source of food production
Soil organic matter (SOM) content plays a prominent role in soil quality and soil fertility improvement (Mrabet et al 2004; Lehmann and Kleber 2015)
Given the significance of the SOM content mentioned above, this study explored four commonly used spatial interpolation methods (LPI, inverse distance weighted (IDW), ordinary kriging (OK), and empirical Bayesian kriging (EBK)) to (1) evaluate and compare the interpolation techniques for SOM spatial prediction, and (2) choose the most appropriate interpolation technique for creating a digital map to detect areas affected by SOM degradation
Summary
Soil is an invaluable source of food production. Agricultural land is under tremendous pressure from an increasing population, alongside intense climate change (Van Kernebeek et al 2016). Intensive farming contributes to soil depletion and reduces soil potential for crop production. Soil organic matter (SOM) content plays a prominent role in soil quality and soil fertility improvement (Mrabet et al 2004; Lehmann and Kleber 2015). SOM plays a crucial role in sequestering carbon in the soil, mitigating the impact of climate change, as it represents the most important carbon reservoir in the terrestrial ecosystem (Johnston et al 2009). The main issue of soil protection, including the continued degradation of SOM in agroecosystems, is unsustainable farming practices and climate conditions (Dahan et al 2001; Badraoui 2006; Dhaliwal et al 2019)
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