Bartumeus, Frederic
Research Professor
Life & Medical Sciences
Institucio Catalana de Recerca i Estudis Avancats
Spain
Biography
Frederic Bartumeus is an ICREA Research Professor in Computational and Theoretical Ecology at the Centre for Advanced Studies of Blanes (CEAB-CSIC) since November 2013. He also holds the same status at CREAF since 2016. He holds a MSc in Plankton Ecology (1997), and a PhD in Biological Sciences (2005) from the University of Barcelona, Spain, where he applied random walk and generalized diffusion theory to develop animal search theory. He joined the Department of Ecology and Evolutionary Biology at Princeton University, USA (2006-2009), where he went in depth on the stochastic modeling of animal movement and dispersal. Back to Spain, he completed his postdoctoral research on vector-borne diseases at the Institut Català del Clima (IC3). With a Ramón y Cajal position (2010) he founded his own lab, the Movement Ecology Laboratory, focused on animal movement (including humans) and search strategies, disease vectors, and computational ecology.
Research Interest
My research is focused in the emerging field of movement ecology, which aims to reveal the complex forces that drive movement and dispersal patterns of animals (including humans). Improved tracking technology (GPS, bio-loggers, smart-phones) demands an integrative view, with new computational tools and modeling frameworks to understand unprecedented levels of detail from a constantly growing number of species. I am contributing to this scientific revolution based on a broad, highly collaborative and interdisciplinary research program, founded solidly on statistical physics and quantitative ecology. A central question in my research is how animals use information and their motor properties to optimize search strategies. The mechanistic linkage between behavioral processes and movement patterns is also key to understanding globalised problems such as the perpetuation of social inequality among humans or the spread of vector-borne infectious diseases.
Publications
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Rodriguez A, Bartumeus F, Gavaldà R 2016. Machine Learning Assists the Classification of Reports by Citizens on Disease-Carrying Mosquitoes. Proceedings of the Workshop on Data Science for Social Good (2016). ECML PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery). Riva del Garda, Italy, September 19– 23, 2016.
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Bartumeus F, Campos D, Lloret-Cabot, R, Méndez V, Ryu W, Catalan J 2016. Foraging success under uncertainty: space use and search tradeoffs. Ecology Letters 19:1299-1313.
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Campos D, Bartumeus F, Méndez V, Soares de Andrade J & Espadaler X 2016. Variability in individual activity bursts improves ant foraging success. Journal of the Royal Society Interface 13:20160856.
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Gutierrez-Roig M, Sagarra O, Oltra A, Palmer JRB, Bartumeus F, Diaz-Guilera A, Perello J 2016. Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians. Royal Society Open Science 3:160177.