Ascensão, F., Latombe, G., Anadón, J.D., Abellàn, P., Cadador, L., Carrete, M. Tella, J. L., Capinha, C. 2020. Drivers of compositional dissimilarity for native and alien birds: the relative roles of human activity and environmental suitability. Biol Invasions (2020).

Latombe, GRoura‐Pascual, NHui, C. 2019. Similar compositional turnover but distinct insular environmental and geographical drivers of native and exotic ants in two oceansJournal of Biogeography 001– 12

McGeoch, M. A.Latombe, G.Andrew, N. R.Nakagawa, S.Nipperess, D. A.Roigé, M.Marzinelli, E. M.,Campbell, A. H.Vergés, A.Thomas, T.Steinberg, P. D.Selwood, K. E.Henriksen, M. V., and Hui, C. 2019Measuring continuous compositional change using decline and decay in zeta diversityEcology 0000):e02832. 10.1002/ecy.2832

Kovacevic, A., Latombe, G., and Chown, S. L. 2019. Rate dynamics of ectotherm responses to thermal stress. Proceedings of the Royal Society B 286(1902), 20190174.

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 managementEcosphere 10(4):e02669. 10.1002/ecs2.2669

Latombe, G., Richardson, D.M., Pyšek, P., Kučera, T., and 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., and Ramstein, 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., and Chown, S. 2017. Barriers to globally invasive species are weakening across the Antarctic. Diversity and Distributions 23(9), 982-996.

Latombe, G., Hui, C., and McGeoch, M.A. 2017. 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., and 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., and McGeoch, M.A. 2017. A vision for global monitoring of biological invasions. Biological Conservation 213, 295-308.

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

Latombe, G., Hui, C., and 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., and Fortin, D. 2014. Uniting statistical and individual-based approaches for animal movement modelling. PloS one 9(6), e99938.

Latombe, G., Fortin, D., and Parrott, L. 2014. 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., and 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., and 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., and 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., and 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.



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.