Assessing the Quality of the Soil by Stochastic Simulation
For the assessment of soil quality, this chapter proposes a methodology relying on the stochastic simulation and co-simulation of relevant variables representing soil quality. Taking into consideration possible quality thresholds for each variable, we applied loss functions to the simulated maps and combined them to identify areas with different soil quality dynamics. This methodology was applied to an area in the southeast of Portugal, to the left margin of the Guadiana River, classified with a high susceptibility index to the desertification phenomenon.
KeywordsTotal Organic Carbon Loss Function Soil Quality Stochastic Simulation Simulated Image
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- Costa J (1999) Caracterização e constituição do solo, 6a edição, (Edições Gulbenkian, Lisboa) de la Rosa D (2005) Soil quality evaluation and monitoring based on land evaluation. Land degradation & Development, 16:551–559Google Scholar
- Pereira MJ, Soares A, Rosário L (2000)Characterization of forest resources with satellite SPOT images by using local models of co-regionalization. In: Kleingeld WJ, Krige DG (eds) Geostatistics 2000 Cape Town (Kluwer Academic Publishers, The Netherlands), 1:581–590Google Scholar
- Rosario, L., 2004, Indicadores de Desertificação para Portugal, (Direcção-Geral dos Recursos Florestais, Ministério da Agricultura, Desenvolvimento Rural e Pescas).Google Scholar
- Rowell D (1994) Soil science methods and applications (Addison Wesley Longman Limited, England)Google Scholar
- Webster R, Oliver M (2001) Geostatistics for environmental scientists (John Wiley & Sons, Chichester)Google Scholar