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[This chapter discusses the formalization of spatial information on soil healthSoil health, and its implications for the quality of the remaining soil in the wake of erosion processesErosion processes. This chapter extends the notion of water erosionErosion damage from soil budgets, to comprehensive soil healthSoil health and the provision of ecosystem servicesEcosystem Services (ES). It describes spatial autocorrelationSpatial autocorrelation of soil propertiesSoil properties in the Harod catchmentHarod catchment, by various methods—Moran’s IMoran's I, Nugget: Sill ratio, and variogram envelopeVariogram envelope analysis. These are demonstrated using geoinformatics procedures, to show how GIS layers for the stratified randomStratified random approach are produced. Spatial interpolation techniques—such as Ordinary KrigingOrdinary Kriging, Universal KrigingUniversal kriging and CokrigingCokriging—are discussed as tools for predicting spatial variation in soil healthSoil health. The limited ability to scale up soil healthSoil health mapping from point measurements to large agricultural areas is a major gap in soil research and is also discussed in this chapter. In this regard, this chapter is of major importance scientifically speaking, as it offers a methodology for studying the effect of water erosionErosion on remaining soil in a spatially explicit fashion. From an applied standpoint, it provides farmersFarmer and professionals with a tool for estimating the state and dynamics of their field.]
Published: Feb 17, 2022
Keywords: Indexing; Moran’s I; Kriging; Soil-health mapping; Soil properties autocorrelation
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