Dr. Michael Ewald
- Postdoc
- Gruppe: Vegetation
- Raum: Geb. 10.50, Raum 817.1
- Tel.: +49 721 608-44377
- michael ewald ∂ kit edu
Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie
Kaiserstr. 12
76131 Karlsruhe
Germany
Michael Ewald
Vegetation ecology
Topics
- LiDAR, Hyperspectral remote sensing
- Effects of nitrogen deposition in N-sensitive habitats
- Patterns and impacts of plant invasions
- Fire behaviour in forest ecosystems
Curriculum vitae
Since 2019 | Postdoc at the KIT |
2014-2019 | PhD at the KIT in the project DIARS - Detection of invasive plant species and assessment of their impact on ecosystem properties through remote sensing |
2012-2014 | Research assistent , Biogeographical Modelling, University of Bayreuth |
2012 | Master of Science in Geoecology, University of Bayreuth |
2009 | Bachelor of Science in Geoecology, University of Bayreuth |
Publications
2023
Cherif, E.; Feilhauer, H.; Berger, K.; Dao, P. D.; Ewald, M.; Hank, T. B.; He, Y.; Kovach, K. R.; Lu, B.; Townsend, P. A.; Kattenborn, T. (2023). From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data. Remote Sensing of Environment, 292, Article no: 113580. doi:10.1016/j.rse.2023.113580
Ewald, M.; Labenski, P.; Westphal, E.; Metzsch-Zilligen, E.; Großhauser, M.; Fassnacht, F. E. (2023). Leaf litter combustion properties of Central European tree species. Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpad026
Labenski, P.; Ewald, M.; Schmidtlein, S.; Heinsch, F. A.; Fassnacht, F. E. (2023). Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations. Remote Sensing of Environment, 295, 113711. doi:10.1016/j.rse.2023.113711
2022
Labenski, P.; Ewald, M.; Schmidtlein, S.; Fassnacht, F. E. (2022). Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning. International journal of applied earth observation and geoinformation, 109, Article no: 102799. doi:10.1016/j.jag.2022.102799
2020
Dittrich, A.; Roilo, S.; Sonnenschein, R.; Cerrato, C.; Ewald, M.; Viterbi, R.; Cord, A. F. (2020). Modelling Distributions of Rove Beetles in Mountainous Areas Using Remote Sensing Data. Remote sensing, 12 (1), Art. Nr.: 80. doi:10.3390/rs12010080
Ewald, M.; Skowronek, S.; Aerts, R.; Lenoir, J.; Feilhauer, H.; Van De Kerchove, R.; Honnay, O.; Somers, B.; Garzón-López, C. X.; Rocchini, D.; Schmidtlein, S. (2020). Assessing the impact of an invasive bryophyte on plant species richness using high resolution imaging spectroscopy. Ecological indicators, 110, Art.-Nr.: 105882. doi:10.1016/j.ecolind.2019.105882
Ewald, M. W. (2020, März 4). Remote Sensing of the Ecosystem Impact of Invasive Alien Plant Species. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000105944
2018
Ewald, M.; Aerts, R.; Lenoir, J.; Fassnacht, F. E.; Nicolas, M.; Skowronek, S.; Piat, J.; Honnay, O.; Garzón-López, C. X.; Feilhauer, H.; Van De Kerchove, R.; Somers, B.; Hattab, T.; Rocchini, D.; Schmidtlein, S. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote sensing of environment, 211, 13–25. doi:10.1016/j.rse.2018.03.038
Ewald, M.; Skowronek, S.; Aerts, R.; Dolos, K.; Lenoir, J.; Nicolas, M.; Warrie, J.; Hattab, T.; Feilhauer, H.; Honnay, O.; Garzón-López, C. X.; Decocq, G.; Van De Kerchove, R.; Somers, B.; Rocchini, D.; Schmidtlein, S. (2018). Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales. Biological invasions, 20 (8), 2257–2271. doi:10.1007/s10530-018-1700-9
Skowronek, S.; Van De Kerchove, R.; Rombouts, B.; Aerts, R.; Ewald, M.; Warrie, J.; Schiefer, F.; Garzon-Lopez, C.; Hattab, T.; Honnay, O.; Lenoir, J.; Rocchini, D.; Schmidtlein, S.; Somers, B.; Feilhauer, H. (2018). Transferability of species distribution models for the detection of an invasive alien bryophyte using imaging spectroscopy data. International journal of applied earth observation and geoinformation, 68, 61–72. doi:10.1016/j.jag.2018.02.001
2017
Aerts, R.; Ewald, M.; Nicolas, M.; Piat, J.; Skowronek, S.; Lenoir, J.; Hattab, T.; Garzón-López, C. X.; Feilhauer, H.; Schmidtlein, S.; Rocchini, D.; Decocq, G.; Somers, B.; Van De Kerchove, R.; Denef, K.; Honnay, O. (2017). Invasion by the Alien Tree Prunus serotina Alters Ecosystem Functions in a Temperate Deciduous Forest. Frontiers in plant science, 8, Art. Nr. 179. doi:10.3389/fpls.2017.00179
Hattab, T.; Garzón-López, C. X.; Ewald, M.; Skowronek, S.; Aerts, R.; Horen, H.; Brasseur, B.; Gallet-Moron, E.; Spicher, F.; Decocq, G.; Feilhauer, H.; Honnay, O.; Kempeneers, P.; Schmidtlein, S.; Somers, B.; Van De Kerchove, R.; Rocchini, D.; Lenoir, J. (2017). A unified framework to model the potential and realized distributions of invasive species within the invaded range. Diversity & distributions, 23 (7), 806–819. doi:10.1111/ddi.12566
Skowronek, S.; Ewald, M.; Isermann, M.; Kerchove, R. van de; Lenoir, J.; Aerts, R.; Warrie, J.; Hattab, T.; Honnay, O.; Schmidtlein, S.; Rocchini, D.; Somers, B.; Feilhauer, H. (2017). Mapping an invasive bryophyte species using hyperspectral remote sensing data. Biological invasions, 19 (1), 239–254. doi:10.1007/s10530-016-1276-1
2016
Dupke, C.; Bonenfant, C.; Reineking, B.; Hable, R.; Zeppenfeld, T.; Ewald, M.; Heurich, M. (2016). Habitat selection by a large herbivore at multiple spatial and temporal scales is primarily governed by food resources. Ecography, 40 (8), 1014–1027. doi:10.1111/ecog.02152
2014
Bae, S.; Reineking, B.; Ewald, M.; Mueller, J. (2014). Comparison of airborne lidar, aerial photography, and field surveys to model the habitat suitability of a cryptic forest species – the hazel grouse. International Journal of Remote Sensing, 35 (17), 6469–6489. doi:10.1080/01431161.2014.955145
Ewald, M.; Dupke, C.; Heurich, M.; Müller, J.; Reineking, B. (2014). LiDAR Remote Sensing of Forest Structure and GPS Telemetry Data Provide Insights on Winter Habitat Selection of European Roe Deer. Forests, 5 (6), 1374–1390. doi:10.3390/f5061374