Reinhard Prestele

Reinhard Prestele is a postdoctoral researcher in the Land Use Change and Climate research group at IMK-IFU, Karlsruhe Institute of Technology. His current research focuses on the interactions of climate, land-use change and bumblebees. He uses state-of-the-art integrated modeling approaches to identify most endangered European bumblebee species under global change impacts and to develop management strategies that minimize these impacts.

Reinhard has a background in Geoecology and a broad research interest in the interactions and feedbacks between the land system and the climate system, including the prospects and challenges of a transition towards a sustainable agricultural future. Before arriving at KIT Reinhard was working on high-resolution land-surface modeling and satellite data integration at the Department of Geography, Ludwig-Maximilians-Universität München. During his PhD he was working on the identification and quantification of uncertainty in global land-use modeling, the representation of land change processes in environmental assessment models, and land-based climate change mitigation through agricultural management. He contributed to the EU-FP7 project LUC4C (Land use change: assessing the net climate forcing, and options for climate change mitigation and adaptation) and obtained his PhD from the Vrije Universiteit Amsterdam with a dissertation entitled Linking land use and climate: the key role of uncertainty and spatial location.


Email: reinhard.prestele@kit.edu
Telephone: +49 8821 183 268

Publications Reinhard Prestele

2019
Lesiv, M.; Laso Bayas, J. C.; See, L.; Duerauer, M.; Dahlia, D.; Durando, N.; Hazarika, R.; Kumar Sahariah, P.; Vakolyuk, M.; Blyshchyk, V.; Bilous, A.; Perez‐Hoyos, A.; Gengler, S.; Prestele, R.; Bilous, S.; Akhtar, I. ul H.; Singha, K.; Choudhury, S. B.; Chetri, T.; Malek, Ž.; Bungnamei, K.; Saikia, A.; Sahariah, D.; Narzary, W.; Danylo, O.; Sturn, T.; Karner, M.; McCallum, I.; Schepaschenko, D.; Moltchanova, E.; Fraisl, D.; Moorthy, I.; Fritz, S.
Estimating the global distribution of field size using crowdsourcing.
2019. Global change biology, 25 (1), 174–186. doi:10.1111/gcb.14492Full text Full text of the publication as PDF document
2016
Prestele, R.; Alexander, P.; Rounsevell, M. D. A.; Arneth, A.; Calvin, K.; Doelman, J.; Eitelberg, D. A.; Engström, K.; Fujimori, S.; Hasegawa, T.; Havlik, P.; Humpenöder, F.; Jain, A. K.; Krisztin, T.; Kyle, P.; Meiyappan, P.; Popp, A.; Sands, R. D.; Schaldach, R.; Schüngel, J.; Stehfest, E.; Tabeau, A.; Van Meijl, H.; Van Vliet, J.; Verburg, P. H.
Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison.
2016. Global change biology, 22 (12), 3967–3983. doi:10.1111/gcb.13337Full text Full text of the publication as PDF document