Modelling of soil physical properties on a regional scale. Case studies in the Iberian Southeast
Mission of the project
Doctoral Thesis
Objectives
Soil texture plays a key role in the structure of this report, being connecting link of other analyzes presented in this paper. Organic carbon and soil organic matter estimates were obtained for the study of the dynamics of soil water. Interaction with the texture allows regional estimates of water content at field capacity and wilting point, showing the environmental variables most affecting soil physical properties. Finally, we prove how the availability of regional maps of soil texture developed in this work influence our estimation of soil degradation processes, assessed by analyzing the effect on erodibility and erosion models. Below the chapters performed: I. Chapter 1. Dave determined what environmental variables that influence texture. And we have analyzed the effects of changing spatial resolution on the values of the environmental variables on the models for estimating soil texture. II. Chapter 2. We evaluated and compared two methods of estimating matric potential (pF) at regional scale. The first method is to estimate the soil moisture through modeling with empirical values water properties. Second estimation method is by using textural data (Chapter 1) and organic matter (OM) using pedotransfer functions (PTFs). III. Chapter 3. We compared two different methods of estimating erodibility indices relating to K factor (USLE). First method uses the physical - chemical properties of the soil (texture and OM) average of each soil type by translational soil mapping. Second applies the results of modeling of textures and OM obtained in Chapters 1 and 2, respectively.
Project milestones
The aim of this Thesis is to combine the applicability of GIS and remote sensing tools with statistical modeling of regional scale of environmental variables to provide results and conclusions and improve estimates of soil properties.
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