Dr Luca Giuggioli

Summary

My general interest is thetheoretical development of models of moving and inetracting entities, from animals and molecules to more abstract objects such as random walkers. In the context of animals, I work in the area of movemnt ecology.

Biography

Giuggioli Lab web page

• PhD 2004, Physics & Astronomy Department, University of New Mexico, US
• Postdoctoral associate at the Consortium of the Americas for Interdisciplinary Science, US, 2004-2006
• Postdoctoral associate at the Ecology and Evolutionary Biology Department, Princeton University, US, 2007-2008

Activities / Findings

<http://www.movementandinteraction.co.uk/>

Teaching

Ecology, Acquisition of Behaviour

Keywords

• movement ecology

Methodologies

• spatially explicit models

Expertise

My general interest is the construction of spatially explicit theoretical models, validated through experimental observations, with the aim of explaining a variety of processes such as territoriality, foraging, disease spread and ecosystem nutrient cycling. One of the features central to these apparently disparate processes is how animals move and interact among each other. My objective is to study and ultimately predict how certain spatio-temporal ecological patterns emerge from basic ?microscopic? interactions and movement rules.

Memberships

Organisations

Department of Engineering Mathematics

Other sites

• Biology
• Engineering

Links

• web page

Recent publications

• Getz, WM, Marshall, CR, Carlson, CJ, Giuggioli, L, Ryan, SJ, Romañach, SS, Boettiger, C, Chamberlain, SD, Larsen, L, D’Odorico, P & O’Sullivan, D, 2018, ‘Making ecological models adequate’. Ecology Letters, vol 21., pp. 153-166
• Giuggioli, L, Arye, I, Robles, AH & Kaminka, G, 2018, ‘From Ants to Birds: A Novel Bio-Inspired Approach to Online Area Coverage’. in: Distributed Autonomous Robotic Systems: The 13th International Symposium. Springer, pp. 31-43
• Jiang, L, Giuggioli, L, Perna, A, Escobedo, R, Lecheval, V, Sire, C, Han, Z & Theraulaz, G, 2017, ‘Identifying influential neighbors in animal flocking’. PLoS Computational Biology, vol 13.
• Konzack, M, Mcketterick, TJ, Ophelders, T, Buchin, M, Giuggioli, L, Long, J, Nelson, T, Westenberg, MA & Buchin, K, 2017, ‘Visual Analytics of Delays and Interaction in Movement Data’. International Journal of Geographical Information Science, vol 31., pp. 320-345
• Pearce, R, Giuggioli, L & Rands, S, 2017, ‘Bumblebees can discriminate between scent-marks deposited by conspecifics’. Scientific Reports, vol 7.
• Richardson, TO, Giuggioli, L, Franks, NR & Sendova-Franks, AB, 2017, ‘Measuring site fidelity and spatial segregation within animal societies’. Methods in Ecology and Evolution.
• Oleksy, R, Giuggioli, L, Mcketterick, TJ, Racey, PA & Jones, G, 2017, ‘Flying foxes create extensive seed shadows and enhance germination success of pioneer plant species in deforested Madagascan landscapes’. PLoS ONE, vol 12.
• Falcón-Cortés, A, Boyer, D, Giuggioli, L & Majumdar, SN, 2017, ‘Localization Transition Induced by Learning in Random Searches’. Physical Review Letters, vol 119.
• Giuggioli, L, McKetterick, TJ, Kenkre, V & Chase, M, 2016, ‘Fokker-Planck description for a linear delayed Langevin equation with additive Gaussian noise’. Journal of Physics A: Mathematical and Theoretical, vol 49.
• Chase, M, McKetterick, TJ, Giuggioli, L & Kenkre, V, 2016, ‘Langevin analysis for time-nonlocal Brownian motion with algebraic memories and delay interactions’. European Physical Journal B, vol 89.

View complete publications list in the University of Bristol publications system