Prof. Dr. Danijela Markovic-Bredthauer Quantitative Methoden
Check our climate change vulnerability study
Created by D. Markovic-Bredthauer and O. Kärcher Music by Sophonic Media, http://instrumentalsfree.com
My research interests include a combination of applied statistics and mathematics and a variety of aspects of climate and global change, conservation ecology, water resources, flight meteorology, econometrics and banking. As such, my career path can be best described as a potpourri of science and economy. Throughout, a central thread is the application of the data mining techniques, signal processing and the development of statistical and/or process-based models. I consider theoretical investigations equally important as finding their application.
I worked at different German universities, led a research group and become a business consultant in an IT, risk management and financial consultancy before heading back to academia. I received my PhD in Civil Engineering from University of Kassel.
If you are interested in joining my team, please send me your CV and a statement of your research interests.
- Project duration: 1.06.2015.-31.05.2019
- Funding: European Union's Horizon 2020 research and innovation programme under grant agreement No 641762
- Description: Earth Observations hold great promise for addressing the environmental and ecological challenges. ECOPOTENTIAL project seeks to improve future ecosystem benefits through earth observations. The project focuses its activities and pilot actions on a targeted set of internationally recognized Protected Areas in Europe and beyond. As a contributor to the ECOPOTENTIAL project, the research group in Osnabrück is focusing on analysis and modeling of the mountain lake ecosystems dynamics (e.g. Lake Ohrid Region). The models will be used to monitor ecosystem state and the temporal evolution and identify ecosystem changes and environmental management needs.
- Project duration: 1.10.2016.-31.03.2020
- Funding: DFG
- Description: Climate change is expected to exacerbate the current threats to freshwater ecosystems. The aim of the project is to develop a novel framework for assessing climate change vulnerability of freshwater ecosystems. The three climate change vulnerability dimensions are: (i) exposure to climate change (i.e., the extent to which environmental conditions in each catchment will change), (ii) sensitivity to altered environmental conditions (i.e., the lack of potential for species to persist), and (iii) resilience (i.e., ability to cope with climate change). Modelling the effects of climate change requires use of a multitude of modelling techniques as well as substantial methodological advances.
- Statistical Methods in Meteorology
- Statistical Software
- Engineering Hydrology
- Markovic D, Savrina C, Kärcher O, Walz A, David J. Vulnerability of European Freshwater to Climate Change, Global Change Biology, doi:10.1111/gcb.13657, 2017
- Carrizo SF, Szabolcs L, Kapusi F, Szabolcs M, Kasperidus HD, Scholz M, Markovic D, Freyhof J, Cid N, Cardoso AC, Darwall W. Critical catchments for freshwater biodiversity conservation in Europe: identification, prioritisation and gap analysis. Journal of Applied Ecology, , 2016
- Markovic D, Carrizo SF, Freyhof J, Szabolcs L, Cid N, Scholz M, Kasperidus HD, Darwall W. Freshwater biodiversity under climate change: distribution range shifts and conservation needs, Diversity and Distributions, doi:10.1111/ddi.12232, 2014
- Markovic D, Hauf T, Röhner P, Speer U. A statistical study of the weather impact on punctuality at Frankfurt Airport, Meteorological applications, 2008
- Markovic D, Koch M. Wavelet and scaling analysis of monthly precipitation extremes in Germany in the 20th century: Interannual to interdecadal oscillations and the North Atlantic Oscillation influence, Water Resources Research, 2005