Soil Mapping and Process Modeling for Sustainable Land Use Management - Softcover

Über die Autorinnen und Autoren

Paulo Pereira is a full professor at the Environmental Management Center, Mykolas Romeris University, Lithuania. He holds a PhD in Physical Geography from the University of Barcelona and has previous experience working on spatial modelling of environmental variables and applying these results to sustainable landscape planning. Prof. Pereira was awarded the outstanding young scientist award from the Soil System Sciences Division (European Geoscience Union) and is one of the most influential scientists in the world in the field of environmental sciences, according to Elsevier/Stanford University. Prof. Pereira is an editor and guest editor of various journals in the field of environment and soil science.

Prof. Brevik holds a Ph.D. in Soil Science from Iowa State University focused on pedology. His research has included investigating the use of electromagnetic induction techniques in soil mapping, evaluation of the accuracy of National Cooperative Soil Survey (USA) maps, and combining information from soil and geology maps to improve landform mapping. He has also investigated the history of soil mapping and classification, particularly as it relates to the USA.

Dr. Miriam Munoz-Rojas holds a PhD in Natural Resources and Environmental Sciences from the University of Seville focused on modelling soil carbon sequestration at different soil depths. One of the most significant outcomes of this work was the development of a spatial tool for soil carbon assessment of Mediterranean soils. Her research has also involved mapping and spatial analysis of land use changes and soil carbon under climate change scenarios.

Dr. Miller worked for several years in the fields of pedology and environmental science before completing a PhD in Geography. His experience in these different, but interconnected, areas of research provide a unique perspective on addressing interdisciplinary issues, particularly in regards to spatial modelling.