Projects
Running projects
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Solozori
Eroding food security - Cropland soil loss in the Rwenzori mountains of Uganda (Solozori)
Duration: from 2025 to 2028
Funding institution:?German Research Foundation (DFG)
Principal Investigator(s): Prof. Dr. Peter Fiener, Dr. Florian Wilken
Associate Researchers:?Prof. Dr. Markus Keck, Dr. Sebastian Purwins, Nina Andre, M.Sc.
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Research topic: Soil degradation and cropland collapse in the wet tropics of Africa
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EARL-MOD
Large-scale modelling of water and tillage erosion with a focus on model testing and uncertainty analysis in the framework of project Erosion and Runoff Laboratory (EARL)
Duration: from 2025 to 2027
Funding institution:?Bavarian Ministry of Food, Agriculture and Forestry (StMELF)
Principal Investigators: Prof. Dr. Peter Fiener and Florian Ebertseder (LfL)
Associate Researches: Dr. Florian Wilken, Dr. Pedro Batista, Ayele Desalegn Woldemariam, M.Sc.
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Research topics: upscaling of monitoring data, large-scale erosion modelling, analysing model uncertainties
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BayCliMit
Indicator System for the Evaluation of Measures of the Bavarian Climate Mitigation (BayCliMit) Programme
Duration: from 2023 to 2026
Funding institution: Bavarian State Ministry of the Environment and Consumer Protection (StMUV)
Principal Investigator(s): Prof. Dr. Jennifer Kunz (Coordinator), PD Dr. Stephan Bosch, Prof. Dr. Peter Fiener, Prof. Dr. Harald Kunstmann, Dr. Laura Ludwig
Associate Researchers: Patricia Borel, Stefan Kurz
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Research topic: Measuring climate mitigation measures in Bavaria
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DYLAMUST
Soil erosion in agricultural landscapes in the context of dynamic changes of land use
patterns and structures (DYLAMUST)
Duration:?from 2023 to 2026
Funding institution:?German Research Foundation (DFG)
Principal Investigator(s): Prof. Dr. Peter Fiener, Prof. Dr. Thomas Scholten (University Tübingen)
Associate Researchers: Kay Seufferheld, Dr. Hadi Shokati?(University Tübingen)
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Research topics: soil erosion, hybrid modelling, machine learning, deep learning, landscape patterns and structures
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DynAWI
Dynamic Agricultural Weather Indicators (DynAWI) to forecast extreme weather events in agriculture using artificial intelligence and machine learning
Duration: from 2021 to 2024
Funding institution:?German Federal Ministry of Food and Agriculture (BMEL)
Principal Investigator(s): Prof. Dr. Peter Fiener
Associate Researchers: Dr. Pedro Batista
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Research topics: agricultural weather indicators (AWI), scalable spatial data infrastructure (DataCube), artificial intelligence
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SOPLAS
SOPLAS - Macro- and microplastic in agricultural soil systems
Duration: from 2021 to 2024
Funding institution:?European Union’s Horizon 2020 research and innovation programme
under the Marie Sk?odowska-Curie grant agreement
Principal Investigator(s): Prof. Dr. Peter Fiener
Associate Researchers: Dr. Florian Wilken, Alessandro Fabrizi, Ana Carolina Cugler Moreira
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Research topics: Click here
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LaPaSed
The effect of landscape structure and patchiness on soil erosion, sediment transport and retention capacity
Duration: from 2020 to 2022
Funding Institution: German Academic Exhange Service (DAAD)
Principal Investigator(s): Prof. Dr. Peter Fiener, Prof. Dr. Tomá? Dostál (CTU Prag)
Associate Researchers: Dr. Florian Wilken, Dr. Josef Kasra, Dr. David Zumr, Dr. Miroslav Bauer, Dr. Pedro Batista
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Research topics: soil erosion, sediment connectivity, patchiness of landscapes
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SOLITAIRE
Quantifying the impact of soil erosion and climate change on soil security by using alternative fallout radionuclides (SOLITAIRE)
Duration: from 2020 to 2023
Funding institution:?Spanish Ministry of Science, Innovation and Universities co-financed by EU
Principal Investigator(s): Tom Vanwalleghem (University of Córdoba)
Cooperation partners: Andres Penuela, Adolfo Pe?a Acevedo and Vanesa García-Gamero (University of Córdoba), José Luis Mas and Santiago José Hurtado Bermúdez (University of Sevilla), Peter Fiener (University of Augsburg), Michael E. Ketterer
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DeMipSo3D
Detecting microplastic in soils using 3D Laser-Scanning-Confocal Microscopy (DeMipSo3D)
Duration: from 2019 to 2023
Funding institution:?University Augsburg; German Federal Ministry of Education and Research (BMBF) Project MicBin
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