Dr. Mareike Ließ


phone: +49 (0)345 - 558 -5401

Department of Soil System Science
Helmholtz Centre for Environmental Research - UFZ
D-06120 Halle (Saale)

Research interest

Understanding and modelling spatial soil distribution patterns and their interaction with the biosphere and hydrosphere.

Research projects

HI-CAM: Helmholtz Cimate Initiative (since 2019)

SoilSpace3D-DE: Development of nation-wide (Germany) high resolution spatial soil-information with various modelling approaches (since 2018)

SOCmonit: Monitoring of soil organic carbon with remote and proximal soil sensing methods (since 2018)

BonaRes:Soil as a sustainable resource for the bioeconomy (since 2016)

DSMGuide-EC (DFG PAK 825 - C9): Towards a guideline for digital soil mapping in Ecuador (2013-2018)

TERRECO Cluster F-03: Landform classification for functional upscaling (2012 - 2015)

TERRECO Cluster F-02: Spatial analysis of soil related environmental risks in the Soyang watershed (2012-2015)

DFG FOR 816 - D3: Functional soil landscape modelling in the Andean mountain forest zone: impact of land use and natural disturbances (2010 - 2013)

DFG FOR 816 - A3.3: Spatiotemporal dynamics of shallow landslides and their biotic and abiotic controls -  an integrating synthesis including soil landscape modelling for determination and regionalisation of soil functional groups as well as forest modeling (2007 - 2010)

Selected publications

Ellinger M, Merbach I, Werban U, Ließ M (2019). Error propagation in spectrometric functions of soil organic carbon. Soil, 5, 275-288. https://doi.org/10.5194/soil-5-275-2019

Gebauer, A., Ellinger, M., Brito Gómez, V.M., Ließ, M., 2020. Development of pedotransfer functions for water retention in tropical mountain soil landscapes: spotlight on parameter tuning in machine learning. Soil, 6, 215–229. https://doi.org/10.5194/soil-6-215-2020

Gebauer A, Brito Gómez VM, Ließ M (2019). Optimisation in machine learning: An application to topsoil organic carbon stocks prediction in a dry forest ecosystem. Geoderma 354, 113846. https://doi.org/10.1016/j.geoderma.2019.07.004

Guio Blanco CM, Brito Gomez VM, Crespo P, Ließ M (2018). Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest, Geoderma, 316, 100-114. https://doi.org/10.1016/j.geoderma.2017.12.002

Jeong G, Oeverdieck H, Park SJ, Huwe B, Ließ M (2017). Spatial soil nutrients prediction using three supervised learning methods for assessment of land potentials in complex terrain. Catena, 154, 73-84. https://doi.org/10.1016/j.catena.2017.02.006

Ließ M (2020). At the interface between domain knowledge and statistical sampling theory: Conditional distribution based sampling for environmental survey (CODIBAS). Catena, 187,104423. https://doi.org/10.1016/j.catena.2019.104423

Ließ M, Schmidt J, Glaser B (2016). Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches, PLoS ONE, 11(4): e0153673. doi:10.1371/journal.pone.0153673

Ließ M (2015). Sampling for regression-based digital soil mapping - Closing the gap between statistical desires and operational applicability, Spatial Statistics, 13, 106-122, https://doi.org/10.1016/j.spasta.2015.06.002

Ließ M, Hitziger M, Huwe B (2014). The Sloping Mire Soil-Landscape of Southern Ecuador - Influence of predictor resolution and model tuning on random forest predictions, Applied and Environmental Soil Science (Article ID 603132), 10 pages, doi:10.1155/2014/603132

Ließ M, Huwe B (2012). Uncertainty in soil regionalisation and its influence on slope stability estimation.  In: Picarelli L, Greco R, Urciuoli G (eds.): Large slow active slope movements with a section on landslide hydrology – Hillslope hydrological modelling for a landslides prediction (Book of Proceedings, Italian Workshop on Landslides 2011), 171-177

Curriculum vitae

  since 2016

2010 - 2015

2007 - 2010

2006 - 2007

2005 - 2006

1998 - 2005 

Researcher at UFZ, Dept.of Soil System Science

Researcher and lecturer at the University of Bayreuth, Dept. of Geosciences/ Soil Physics Division, Bayreuth/ Germany

PhD "Soil-landscape modelling in an Andean mountain forest region in southern Ecuador", University of Bayreuth, Dept. of Geosciences/ Soil Physics Division, Bayreuth/ Germany

Development cooperation: Capacity building in GIS and resource assessment, DED, Rundu/ Namibia

Teaching assistance, Loja/ Ecuador

Parallel studies of Geoecology and Applied African Development Studies in Geography, Universities of Freiberg (D), Durham (UK) and Bayreuth (D)