Robert is a Marie-Curie Research Fellow (project CLIMATEMIGRATION2050, description below). He uses artificial neural networks to predict how climate change will impact global migrations flows in the coming decades, and to determine how agricultural systems can be adapted to prevent migration due to climate-driven crop failure.
Robert very much enjoys familiarising himself with new fields and methods, and has led research papers in mathematics, archaeology, botany, climatology, conservation science, economics, and linguistics. His research has been covered globally by media outlets such as the New York Times, Guardian, CBS, Forbes, and National Geographic.
Contact
14412 Potsdam
2022 - Adjunct lecturer (Humboldt University of Berlin)
2021 - Marie-Curie research fellow (Potsdam Institute for Climate Impact Research)
2015 - 2021 Postdoctoral research associate (University of Cambridge)
2012 - 2015 Double Ph.D. in mathematics (École Centrale Paris) and forest science (Technical University of Munich)
2006 - 2011 M.Sc. in mathematics, economics, and philosophy (Technical University of Munich and Kyōto University)
(first and joint-first author)
Beyer R, Manica A, Hua F, Martin PA, Rademacher T (2022): Relocating croplands could drastically reduce the environmental impacts of global food production. Communications Earth & Environment
Beyer R, Schewe J, Lotze-Campen H (2022): Gravity models do not explain, and cannot predict, international migration dynamics. Humanities and Social Sciences Communications
Beyer R, Krapp M, Manica A (2021): Climatic windows for human migration out of Africa in the past 300,000 years. Nature Communications
Beyer R, Manica A, Mora C (2021): Shifts in global bat diversity suggest a possible role of climate change in the emergence of SARS-CoV-1 and SARS-CoV-2. Science of the Total Environment
Beyer R, Rademacher T (2021): Species Richness and Carbon Footprints of Vegetable Oils: Can High Yields Outweigh Palm Oil’s Environmental Impact? Sustainability
Beyer R, Manica A (2021): Global and country-level data of the biodiversity footprints of 175 crops and pasture. Data in Brief
Beyer R, Manica M (2021): Range sizes of the world’s mammals, birds, and amphibians from the mid-Holocene to the industrial period. Animals
Beyer R, Krapp M, Manica M (2021): Addendum: High-resolution terrestrial climate, bioclimate and vegetation for the last 120,000 years. Scientific Data
Maisano Delser P*, Krapp M*, Beyer R*, Jones E, Miller EF, Hovhannisyan A, Parker M, Siska V, Vizzari MT, Pearmain EJ, Imaz-Rosshandler I, Leonardi M, Somma GL, Hodgson J, Tysall E, Xue Z, Cassidy L, Bradley DG, Eriksson A, Manica A (2021): Climate and mountains shaped human ancestral genetic lineages. Biorxiv
Beyer R, Duran AP, Rademacher T, Tayleur CM, Brooks SE, Coomes D, Donald PF, Sanderson FJ (2020): The environmental impacts of palm oil and its alternatives. Biorxiv
Beyer R, Manica A (2020): Historical and projected future range sizes of the world’s mammals, birds, and amphibians. Nature Communications
Beyer R, Krapp M, Manica M (2020): High-resolution terrestrial climate, bioclimate and vegetation for the last 120,000 years. Scientific Data
Beyer R, Basler D, Kaasalainen M, Raumonen P, Pretzsch H (2020): Do trees have constant divergence angles? Theoretical Biology
Beyer R, Krapp M, Manica M (2020): A empirical evaluation of bias correction methods for paleoclimate simulations. Climate of the Past
Beyer R, Singarayer J, Stock J, Manica A (2020): Environmental conditions do not predict the diversification of the Bantu languages? Heliyon
Betti L*, Beyer R*, Jones E*, Eriksson A, Tassi F, Siska V, Leonardi M, Maisano Delser P, Bentley LK, Nigst PR, Stock JT, Pinhasi R, Manica A (2020): Climate shaped how Neolithic farmers and European hunter-gatherers interacted after a major slowdown from 6,100 BCE to 4,500 BCE. Nature Human Behaviour
Lehnebach R*, Beyer R*, Letort V, Heuret P (2018): The pipe model theory half a century on: a review. Annals of Botany
Beyer R*, Bayer D*, Letort V, Pretzsch H, Cournède P-H (2017): Validation of a functional-structural tree growth model using terrestrial Lidar data. Ecological Modelling
Beyer R, Letort V, Bayer D, Pretzsch H, Cournède P-H (2017): Leaf density-based modeling of phototropic crown dynamics and long-term predictive application to European Beech. Ecological Modelling
Beyer R, Bayer D, Pretzsch H, Cournède P-H (2017): Reconstructing minimal length tree branch systems from leaf positions. Ecological Informatics
Beyer R (2017): Efficient modelling of foliage distribution and crown dynamics in monolayer tree species. Theory in Biosciences
Beyer R, Richter-Gebert J (2016): Emergence of complex patterns in a higher-dimensional phyllotactic system. Acta Societatis Botanicorum Poloniae
Beyer R, Etart O, Cournède P-H, Laurent-Gengoux P (2015): Modeling spatial competition for light in plant populations with the porous medium equation. Journal of Mathematical Biology
Beyer R, Letort V, Cournède P-H (2014): Modeling tree crown dynamics with 3D partial differential equations. Frontiers in Plant Science
2020 Marie-Skłodowska-Curie Individual Fellowship
2018 Postdoctoral Affiliate at Clare Hall College, Cambridge
2017 Prize for Best Ph.D., awarded by the Université Franco-Allemande, an association of >200 universities
2012 Ph.D. scholarship, awarded by the Heinrich Böll Foundation
2011 Hurwitz Price, awarded by the TU Munich; graduated top of year in mathematics (1/52)
Media coverage: New York Times, The Guardian, CBS, The Independent, Telegraph, Politico, National Geographic, Forbes, New Scientist, and others.
Project summary
Predicting changes in international migration flows driven by adverse effects of climate change has been a subject of high societal and political interest, given the demographic and socio-economic implications for both sending and receiving countries. Previous work in the space of climate mobility has shown that cross-border migration from agriculturally dependent countries increases as crop productivity decreases due to higher temperatures. The latest generation of global crop models project a marked decline in futur crop yields in many parts of Africa, suggesting potentially significant consequences for migration.
This project aims to compile state-of-the-art demographic, economic, social, and agricultural data spanning both the historical period and alternative future scenarios until 2050, and integrate them into a widely-used mathematical framework for modelling international migration. This aims to identify where migration – focussing on Africa-Europe corridors – driven by climate-change-induced crop failure is likely to occur, and whether suitable agricultural adaptation may lessen adverse effects.
Project approach: Projected impacts of climate change on crop productivity and, subsequently, agro-economic variables are incorporated into migration models, along with relevant demographic, economic, social and other variables, in order to project future climate-induced migration.
Publications
Published:
Beyer, Schewe, & Lotze-Campen (2022): “Gravity models do not explain, and cannot predict, international migration dynamics”, Humanities and Social Sciences Communications, 9 (56)
Under review:
Beyer, Sedova, Schewe, & Lotze-Campen (2022): “Global effects of conflict- and disaster-induced displacement on internal and international migration”
In preparation:
Beyer, Abel, Manica, & Lotze-Campen (2022): “Big challenges for causal modelling of international migration dynamics”