|6/10 – 09/11|| |
|09/08 – 06/11|
|09/07 – 09/08|
Institute of Geography, Eberhard-Karls-University Tübingen, Working Group of Physical Geography and GIS.Research projects:Modeling Tsunami vulnerabilty of costal areas.Integrative Vulnerability Assessment in the Coastal Region of Rio de Janeiro.
|07/07 – 09/08|
Berghof Analytics and Environmental Engineering, Tübingen. Working as student assistant.
|11/04 – 08/07|
|02/06 - 04/06||Internship at Regierungspräsidium Tübingen, Water and soil unit|
|08/05 - 10/05|
PhD Student, Technsiche Universität München, Department of Ecology and Ecosystem management Landscape Ecology, Freising-Weihenstephan
|2009 – 2012|
(External) PhD Student, Department of Earth and Environmental Sciences, University of Potsdam. Environmental Modelling Group (Prof. Schröder).
|2001 – 2007|
Student of Physical Geography, Soil Science, Vegetation Science, Landscape Ecology, Political Science, Theology at Eberhard-Karls-University Tübingen, University of Hohenheim, University of Vienna and the University of Natural Resources and Life Sciences Vienna (BOKU)
Regionalization of saturated hydraulic conductivity (ksat) in an intermontane basin in the northern Apennine (Mugello).
Spatial modeling of site-ecological conditions in Bavarian forests
Sustainable forest management which accounts for site-ecological conditions is a challenging task in times of global climate change. In contrast to agriculture, which could cultivate different crop types each year, decisions in forestry, which were made today, has an impact for more than 100 years, e.g. which tree species shall be planted where or which management strategy ensures sustainable timber harvesting. Therefore, adaptation of forests to climate change is a widely discussed topic.
Information on site-ecological conditions plays a key role in this context. In the last years, different geo-information systems have been developed to assess the site-ecological conditions of forests in a quantitative way in order to overcome the drawback of widely-used site-classification systems. These site-classification maps are qualitative estimation of site-conditions based on expert knowledge and therefore not reproducible and not applicable to changing environmental conditions.
In my Ph.D. study, I am developing new methods to assess the spatial distribution of site-ecological conditions by using statistical methods for analysis, modeling and spatial prediction.
- Häring, T., Reger, B., Ewald, J., Hothorn, T., and Schröder, B. (Subm.). Regionalising indicator values for soil reaction in the Bavarian Alps - how reliable are averaged indicator value for prediction? Folia Geobotanica.
- Häring, T., Reger, B., Ewald, J., Hothorn, T., and Schröder, B. (Subm.). Predicting Ellenberg`s soil moisture indicator value in the Bavarian Alps using additive georegression. Applied Vegetation Science.
- Reger, B., Häring, T., and Ewald, J. (Subm.). The TRM-model of potential natural vegetation in mountain forests. Folia Geobotanica.
- Häring, T., Dietz, E., Osenstetter, S., Koschitzki, T., and Schröder, B. (Subm.). Spatial disaggregation of complex soil map units: A decision tree based approach in Bavarian forest soils. Geoderma.
- Häring, T. (submitted). Facilitation of environmental modeling by means of scripting: The combination of R and SAGA. In Böhner, J., Hengl, T., and Conrad, O., editors, SAGA 3. Hamburger Beiträge zur Landschaftsökologie.
- Häring, T. and Schröder, B. (2010a). A review of model-error in digital soil mapping: Confronting statistical soil landscape models with large-scale field validation data. Geophysical Research Abstracts, 12:EGU2010–12757.
- Häring, T. and Schröder, B. (2010b). Sampling optimization using image segmentation. In Proceedings of the 4th International Workshop on Digital Soil Mapping, Rome.
- Häring, T., Dietz, E., and Kölling, C. (2009). Zusammenhang zwischen Rastergröße und Modellgüte für die Prognose von Bodenkarten im Maßstab 1 : 25.000. In Jahrestagung der Deutschen Bodenkundlichen Gesellschaft: Böden - eine endliche Ressource, September 2009, Bonn, Berichte der DBG.
- Dietz, E., Falk, W., Beck, J., Häring, T., and Kölling, C. (2009). Flächenhaftes Prognosemodell für Stauwasserböden unter Wald aus Bodenparametern, DGM, Klima und Vegetation. In Jahrestagung der Deutschen Bodenkundlichen Gesellschaft: Böden - eine endliche Ressource, September 2009, Bonn, Berichte der DBG.
- Häring, T., de Paly, M., Henneges, C., and Hochschild, V. (2008). Modelling tsunami vulnerability: The development of a tsunami inundation model with machine learning tools. In Ehlers, M., Gerstengarbe, F.-W., Koppers, L., Wächter, J., Stroink, L., Behncke, K., and Hillen, F., editors, Digital Earth Summit on Geoinformatics 2008: Tools for Global Change Research, pages 182–187. Wichmann, Heidelberg.