Towards a Guideline for Digital Soil Mapping in Ecuador

• Antragstellerin: Professorin Dr. Mareike Ließ
• Fachliche Zuordnung: Bodenwissenschaften ; Ökologie und Biodiversität der Pflanzen und Ökosysteme
• Förderung: Förderung von 2013 bis 2017
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 227689582

Research experience in digital soil mapping (DSM) shall be extended and deepened in two further research areas in order to develop a guideline for DSM in Ecuador. The guideline will give an overview: a) about the DSM approach, b) the different sampling designs developed according to the area size, accessibility and terrain complexity, c) the various methods from the field of supervised machine learning to develop digital soil maps, and d) the implementation with open source software. The soil-landscapes of the three investigation areas will be analysed and soil-landscape models will be developed by supervised machine learning techniques, in order to spatially predict soil properties from point data based on environmental prediction parameters. By using the so developed digital soil maps as principal input, a functional soil-landscape analysis is carried out to determine landslide, erosion and anthropogenic disturbance risk zones as well as estimate the soil organic carbon stocks and soil fertility.

• DFG-Verfahren: Sachbeihilfen (Transferprojekt)
• Beteiligte Institution: Empresa Pública Municipal de Telecomunicaciones, Agua Potable, Alcantarillado y Saneamiento de Cuenca (ETAPA); Fondo Regional del Agua (FORAGUA); Gestión Ambiental de la Ciudad de Zamora; Nature and Culture International (NCI)