Latombe, G.Canavan, S.Hirsch, H.Hui, C.Kumschick, S.Nsikani, M. M.Potgieter, L. J.Robinson, T. B.,Saul, W.‐C.Turner, S. C.Wilson, J. R. U.Yannelli, F. A., and Richardson, D. M.2019A four‐component classification of uncertainties in biological invasions: implications for management. Ecosphere 10(4):e02669. 10.1002/ecs2.2669

Latombe, G., Richardson, D.M., Pyšek, P., Kučera, T., Hui, C. (2018) Drivers of species turnover vary with species commonness for native and alien plants with different residence times. Ecology, 99 (12), 2763-2775. DOI: 10.1002/ecy.2528

Latombe, G., Burke, A., Vrac, M., Levavasseur, G., Dumas, C., Kageyama, M., Ramsteing, G. (2018) Comparison of spatial downscaling methods of general circulation models to study climate variability during the Last Glacial Maximum, Geoscience Model Development Discussion, 11(7), 2563-2579.

Duffy, G., Coetzee, B., Latombe, G., Akerman, A., McGeoch, M.A., & Chown, S. (2017) Barriers to globally invasive species are weakening across the Antarctic, Diversity and Distributions, 23(9), 982-996.

Latombe, G., Hui, C., & McGeoch, M.A. (2017b) Multi-Site Generalised Dissimilarity Modelling: using zeta diversity to differentiate drivers of turnover in rare and widespread species, Methods in Ecology and Evolution, 8, 431–442.

Burke, A., Kageyama, M., Latombe, G., Fasel, M., Vrac, M., Ramstein, G., James, P.M.A. (2017) Risky business: The impact of climate and climate variability on human population dynamics in Western Europe during the Last Glacial Maximum, Quaternary Science Reviews, 164, 217-229.

Latombe, G., Pyšek, P., Jeschke, J. M., Blackburn, T. M., Bacher, S., Capinha, C., Costello, M.J., Fernández, M., Gregory, R.D., Hobern, D., Hui, C., Jetz, W., Kumschick, S., McGrannachan, C., Pergl, J., Roy, H.E., Scalera, R., Squires, Z. E., Wilson, J.R.U., Winter, M., Genovesi, P., McGeoch, M.A. (2017a) A vision for global monitoring of biological invasions. Biological Conservation, 213, 295-308.

McGeoch, M. A., & Latombe, G. (2016) Characterizing common and range expanding species. Journal of Biogeography, 43(2), 217-228.

Latombe, G., Hui, C., & McGeoch, M. A. (2015) Beyond the continuum: a multi-dimensional phase space for neutral–niche community assembly. Proceedings of the Royal Society. B, 282(1821), 20152417.

Latombe, G., Parrott, L., Basille, M., & Fortin, D. (2014a) Uniting statistical and individual-based approaches for animal movement modelling. PloS one, 9(6), e99938.

Latombe, G., Fortin, D., & Parrott, L. (2014b) Spatio‐temporal dynamics in the response of woodland caribou and moose to the passage of grey wolf. Journal of Animal Ecology, 83(1), 185-198.

Parrott, L., Chion, C., Gonzalès, R., & Latombe, G. (2012) Agents, individuals, and networks: modeling methods to inform natural resource management in regional landscapes. Ecology and Society, 17(3), 32.

Latombe, G., Granger, E., & Dilkes, F. A. (2012) Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support. Applied Soft Computing, 12(8), 2362-2378.

Latombe, G., Parrott, L., & Fortin, D. (2011) Levels of emergence in individual based models: Coping with scarcity of data and pattern redundancy. Ecological Modelling, 222(9), 1557-1568.

Latombe, G., Granger, E., & Dilkes, F. A. (2010) Fast learning of grammar production probabilities in radar electronic support. IEEE Transactions on Aerospace and Electronic Systems, 46(3), 1262-1289.



McGeoch, M. A., Latombe, G., Andrew, N. R., Nakagawa, S., Nipperess, D. A., Roige, M., Marzinelli, E. M., Campbell, A. H., Verges, A., Thomas, T., Steinberg, P. D., Selwood, K. E., Hui, C. (2017) The application of zeta diversity as a continuous measure of compositional change in ecology. bioRxiv, 216580.

Latombe, G., McGeoch, M. A., Nipperess, D., & Hui, C. (2018). zetadiv: an R package for computing compositional change across multiple sites, assemblages or cases. bioRxiv, 324897.



Latombe, G., Granger, E., & Dilkes, F. A. (2009) Fast Incremental Learning of Grammatical Probabilities in Radar Electronic Support, Defence R&D Canada – Ottawa, TM-2009-053, April 2009.



Latombe, G., Granger, E., & Dilkes, F. A. (2006, April) Incremental Learning of Stochastic Grammars with Graphical EM in Radar Electronic Support, in Proc. of Int. Conf. On Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii.

Latombe, G., Granger, E., & Dilkes, F. A. (2006, May) Fast Incremental Techniques for Learning Production Rule Probabilities in Radar Electronic Support, in Proc. of Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 14-19, Toulouse, France.

Latombe, G., Granger, E., & Dilkes, F. A. (2006, May) Maximum Likelihood and the Graphical EM Algorithm, in Proc. of Canadian Conf. on Electrical and Computer Engineering, 1475-1480, Ottawa, Ont., Canada.

Saad, M., Latombe, G., Suen, K., & Nerguizian, V. (2005, April) Mobile robot navigation and obstacle avoidance using fuzzy radial basis function neural networks. In Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control (p. 5) World Scientific and Engineering Academy and Society (WSEAS)



Latombe, G. (2013) Développement d’un modèle centré sur l’individu des déplacements du caribou, du loup et de l’orignal, et de leurs interactions, en forêt boréale aménagée, Ph.D. Thesis, Université de Montréal.

Latombe, G. (2006), Fast Incremental Learning of Stochastic Context-Free Grammars in Radar Electronic Support, Master Thesis, École de Technologie Supérieure.