Miguel Lurgi

Centre for Biodiversity Theory and Modelling
Station d’Ecologie Théorique et Expérimentale du CNRS
09200 Moulis, France

Phone: +33 (0) 5 61 04 03 83
Email: miguel.lurgi@sete.cnrs.fr

Research interests

  • Ecological networks
  • Complex systems
  • Population dynamics
  • Community assembly
  • Meta-community dynamics
  • Evolutionary theory
  • Eco-evolutionary dynamics

Summary CV

I am a Postdoctoral Researcher at the CNRS Experimental and Theoretical Ecology Station at Moulis. My main research focus is on the eco-evolutionary mechanisms involved in the assembly of complex ecological networks in meta-community contexts. I do this from a theoretical perspective, using empirical data from real complex communities to test theoretical predictions. Within this framework I am particularly interested in the application of individual based models that consider individual adaptation through evolution to construct a comprehensive body of theory that will allow to (1) study the formation (assembly) of complex communities from an evolutionary perspective and (2) to predict the effects of disturbances on these communities (disassembly) considering the dynamic responses that the community or a set of interconnected local communities y a meta-community might be able to show once a given perturbation(s) has occurred.

Before coming here I was a Postdoctoral Researcher at the University of Adelaide in Australia. I developed complex food web and meta-population/meta-community models, to understand top-down regulation by the dingo (Canis lupus dingo) and to invasive species management at the landscape/regional spatial scales.

I completed my PhD jointly and the Centre for Ecological Research and Forestry Applications at the Autonomous University of Barcelona and the Department of Marine Biology and Oceanography at Institute for Marine Sciences, in Barcelona, Spain. My research revolved around the assembly and disassembly dynamics in ecological networks; focusing on the effects of climate change on food web structure, the relationship among components of stability, and the stability of spatially explicit communities with a mixture of interaction types.

As a computer scientist, particularly interested in artificial intelligence techniques for the design and engineering of intelligent systems, I believe that agent-based systems can be successfully applied to the simulation of complex ecological systems of this kind. I am generally interested in tackling the study of complex ecological systems by applying individual/agent based techniques and dynamical systems approaches to modeling natural communities and ultimately the networks of interactions observed among its constituent species.

I am a Computer Engineer from the Simón Bolívar University, Venezuela (2003); and I hold a MSc in Evolutionary and Adaptive Systems from the University of Sussex, UK (2005). I also completed a MSc by Research in Simulation of Multi-agent Ecological Systems at the School of Informatics of the University of Edinburgh (2011).

I have been a visiting research fellow at Trinity College Dublin working with Dr Ian Donohue at the School of Natural Sciences; and at the Microsoft Research Computational Ecology Lab, in Cambridge UK where I collaborated with Dr Lucas Joppa. I was looking into the assembly of microbial communities and the effects of biological invasions on complex communities respectively.


  • McWilliams C., Lurgi M., Montoya J.M., Sauve A. & Montoya D. (2019) The stability of multitrophic communities under habitat loss. Nature Communications 10: 2322. Download
  • Garcia-Diaz P., Anderson D.P. and Lurgi M. (2019) Evaluating the effects of landscape structure on the recovery of an invasive vertebrate after population control. Landscape Ecology. Download
  • Lurgi M. (2019) Dr Miguel Lurgi Rivera, supported by the Embassy’s scientific mobility program. Embassy of France in Canberra. Online
  • Espunyes J., Lurgi M., Büntgen U., Bartolomé J., Calleja J.A., Gálvez‐Cerón A., Peñuelas J., Claramunt-López B. and Serrano E. (2019) Different effects of alpine woody plant expansion on domestic and wild ungulates. Global Change Biology 112. Download
  • Lurgi M., Thomas T., Wemheuer B., Webster N.S. and Montoya J.M. (2019) Modularity and predicted functions of the global sponge-microbiome network. Nature Communications 10:992. Download
  • García-Díaz P., Prowse T.A.A., Anderson D.P., Lurgi M., Binny R.N. and Cassey P. (2019) A concise guide to developing and using quantitative models in conservation management. Conservation Science and Practice. 1:e11. Download
  • Lurgi M., Ritchie E.G. and Fordham D.A. (2018) Eradicating abundant invasive prey could cause unexpected and varied biodiversity outcomes: The importance of multispecies interactions. Journal of Applied Ecology. Download
  • Galiana N., Lurgi M., Claramunt-López B., Fortin M.J., Leroux S., Cazelles K., Gravel D. and Montoya J.M. (2018) The spatial scaling of species interaction networks. Nature Ecology & Evolution. Download
  • Wallach A. D., Dekker A. H., Lurgi M., Montoya J.M., Fordham D. A. and Ritchie E. G. (2016) Trophic cascades in 3D: network analysis reveals how apex predators structure ecosystems. Methods in Ecology and Evolution. Download
  • Donohue I., Hillebrand H., Montoya J.M., Petchey O.L., Pimm S.L., Fowler M., Healy K., Jackson A.L., Lurgi M., McClean D., O’Connor N.E., O’Gorman E.J. and Yang Q. (2016) Navigating the complexity of ecological stability. Ecology Letters. Press Release and Download
  • Thomas T., Moitinho-Silva L., Lurgi M., Björk J.R., Easson C., Astudillo-Garcia C., Olson J.B., Erwin P.M., Lopez-Legentil S., Luter H., Chaves-Fonnegra A., Costa R., Schupp P.J., Steindler L., Erpenbeck D., Gilbert J., Knight R., Ackermann G., Lopez J.V., Taylor M.W., Thacker R.W., Montoya J.M., Hentschel U. and Webster N.S. (2016) Diversity, structure and convergent evolution of the global sponge microbiome. Nature Communications 7:11870.
  • Lurgi M., Montoya D. and Montoya J.M. (2016) The effects of space and diversity of interaction types on the stability of complex ecological networks. Theoretical Ecology. 9, 3-13 [DOI: 10.1007/s12080-015-0264-x].
  • Lurgi M., Brook B.W., Saltré F. and Fordham D.A. (2015) Modelling range dynamics under global change: which framework and why? Methods in Ecology and Evolution. 6(3), 247-256.
  • Lurgi M., Galiana N., López B.C., Joppa L.N. and Montoya J.M. (2014) Network complexity and species traits mediate the effects of biological invasions on dynamic food webs. Frontiers in Ecology and Evolution, 2(36).
  • Galiana N., Lurgi M., Montoya J.M. and López B.C. (2014) Invasions cause biodiversity loss and community simplibication in vertebrate food webs. Oikos, 123(6), 721-728.
  • Donohue I., Petchey O., Montoya J.M., Jackson A., McNally L., Viana M., Healy K., Lurgi M., O’Connor N. and Emmerson M. (2013) On the dimensionality of ecological stability. Ecology Letters, 16, 421-429.
  • Lurgi M., López B.C. and Montoya J.M. (2012) Climate change impacts on body size distribution and food web structure in mountain ecosystems. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 367(1605), 3050-3057.
  • Lurgi M., López B.C. and Montoya J.M. (2012) Novel communities from climate change. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 367(1605), 2913-2922.
  • Lurgi M. and Robertson D. (2012) Multi-agent coordination through mutualistic interactions. Lecture Notes in Computer Science, 7254, 1-20.
  • Julià-Sapé M., Lurgi M., Mier M., Estanyol F. etc. (2012) Strategies for annotation and curation of translational databases: the eTUMOUR project. Database (bas035).
  • Lurgi M. and Robertson D. (2011) Evolution in Ecological Agent Systems. International Journal of Bio-Inspired Computation, 3(6), 331-345.
  • Lurgi M. and Robertson D. (2011) Automated Experimentation in Ecological Networks. Automated Experimentation, 3(1).
  • Estanyol F. and Lurgi M. (2011) On the Implementation of a DBE to Improve SME Collaboration. In the Proceedings of the 5th IEEE International Conference on Digital Ecosystems and Technologies. Daejeon, Korea.
  • Lurgi M. (2010) Ecological Interactions in Multi-agent Systems. In the Proceedings of the 5th International ICST Conference on Bio- Inspired Models of Network, Information, and Computing Systems (Bionetics 2010). Boston, USA.
  • Lurgi M. (2010) An Ecologically Inspired Simulation Tool for Managing Digital Ecosystems. In the Proceedings of the 2nd International Conference on Management of Emergent Digital EcoSystems, 17-24. Bangkok, Thailand.
  • Lurgi M. and Estanyol F. (2010) Managing a Digital Business Ecosystem Using a Simulation Tool. In the Proceedings of the 2nd International Conference on Management of Emergent Digital EcoSystems, 213-220. Bangkok, Thailand.
  • Lurgi M. and Robertson D. (2010) Simple Ecological Rules Yield Complex Agent Networks. Artificial Intelligence Research and Development, 220, 39-48.
  • Lurgi M. and Estanyol F. (2010) MADB - a Multi-Agent Digital Business Ecosystem. In the Proceedings of the 4th IEEE International Conference on Digital Ecosystems and Technologies, 262- 267. Dubai, UAE.
  • Dupplaw D., Croitoru M., Dasmahapatra S., Gibb A., Gonzalez-Velez H., Lurgi M., Hu B., Lewis P. and Peet A.A. (2010) Knowledge- Rich Distributed Decision Support Framework: A Case Study for Brain Tumour Diagnosis. Computational Intelligence for Neuro-Oncological Diagnosis, Knowledge Engineering Review, 26(3), 247-260.
  • Hu B., Croitoru M., Roset R., Dupplaw D., Lurgi M., Dasmahapatra S., Lewis P., Martínez-Miranda J. and Saez C. (2010) The HealthAgents Ontology: Knowledge Representation in a Distributed Decision Support System for Brain Tumours. Computational Intelligence for Neuro-Oncological Diagnosis, Knowledge Engineering Review, 26 (3), 303-328.
  • Estanyol F., Rafael X., Roset R., Lurgi M., Mier M. and Lluch-Ariet M. (2010) A Web Accessible Distributed Data Warehouse for Brain Tumour Diagnosis. Computational Intelligence for Neuro-Oncological Diagnosis, Knowledge Engineering Review, 26(3), 329-351.
  • Julià-Sapé M., Mier M., Lurgi M., Estanyol F., Rafael X. etc (2009) The ETUMOUR Database: A Tool for Annotation and Curation of Multidimensional Human Brain Tumor Data. In the Proceedings of the Annual Meeting of the International Society of Magnetic Resonance in Medicine, 17, 3475. Hawaii.
  • Roset R., Lurgi M., Croitoru M., Hu B., Lluch-Ariet M. and Lewis P. (2008) A Visual Mapping Tool for Database Interoperability: the HealthAgents Case. Third Conceptual Structures Tool Interoperability Workshop (CS-TIW). Toulouse, France.
  • Castillo C., Lurgi M. and Martínez I. (2003) Chimps: An Evolutionary Reinforcement Learning Approach for Soccer Agents. In the Proceedings of the Systems, Man & Cybernetics conference of the IEEE. Washington DC.