
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
Estimating the global distribution of field size using crowdsourcing.
2019. Global change biology, 25 (1), 174–186. doi:10.1111/gcb.14492
The overlooked spatial dimension of climate‐smart agriculture [in press].
2019. Global change biology, gcb.14940. doi:10.1111/gcb.14940
Modelled biophysical impacts of conservation agriculture on local climates.
2018. Global change biology, 24 (10), 4758–4774. doi:10.1111/gcb.14362
A spatially explicit representation of conservation agriculture for application in global change studies.
2018. Global change biology, 24 (9), 4038–4053. doi:10.1111/gcb.14307
A global assessment of gross and net land change dynamics for current conditions and future scenarios.
2018. Earth System Dynamics, 9 (2), 441–458. doi:10.5194/esd-9-441-2018
A global assessment of gross and net land change dynamics for current conditions and future scenarios.
2017. Earth System Dynamics Discussions, 1–29. doi:10.5194/esd-2017-121
Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments.
2017. Earth System Dynamics, 8 (2), 369–386. doi:10.5194/esd-8-369-2017
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.13337