Spatio-temporal ecological dynamics: metapopulations and metacommunities

Our work aims at developing quantitative methods to understand the various drivers of the dynamics of ecological communities in spatially-extended and temporally-varying environments. To achieve this overarching goal, we devise innovative monitoring protocols based on remote sensing and field sampling (Pottier & Jabot 2017), develop individual-based models grounded on ecological knowledge (Rougier et al. 2014, Lohier 2016, Jabot & Pottier 2017), as well as innovative calibration techniques to valorise heterogeneous data such as confocal microscopy data (Bridier et al. 2014), historical forest maps (Lalechère et al. 2017), isotopic compositions of organisms (Jabot et al. 2017) or demographical data (Jabot & Lohier 2016).

Key contributed papers:

-Bridier, A., Briandet, R., Bouchez, T., & Jabot, F. (2014). A model-based approach to detect interspecific interactions during biofilm development. Biofouling, 30(7), 761-771.

-Jabot, F., & Lohier, T. (2016). Non‐random correlation of species dynamics in tropical tree communities. Oikos, 125(12), 1733-1742.

-Jabot, F., & Pottier, J. (2017). Macroecology of seed banks: The role of biogeography, environmental stochasticity and sampling. Global Ecology and Biogeography, 26(11), 1247-1257.

-Jabot, F., Giraldo, C., Lefebvre, S., & Dubois, S. (2017). Are food web structures well represented in isotopic spaces?. Functional Ecology.

-Lalechère, E., Jabot, F., Archaux, F., & Deffuant, G. (2017). Non-equilibrium plant metapopulation dynamics challenge the concept of ancient/recent forest species. Ecological Modelling, 366, 48-57.

-Lohier, T. (2016). Analyse temporelle de la dynamique de communautés végétales à l’aide de modèles individus-centrés (Doctoral dissertation, Université Blaise Pascal-Clermont-Ferrand II).

-Pottier, J., & Jabot, F. (2017). Non-destructive biomass estimation of herbaceous plant individuals: A transferable method between contrasted environments. Ecological indicators, 72, 769-776.

Rougier, T., Drouineau, H., Dumoulin, N., Faure, T., Deffuant, G., Rochard, E., & Lambert, P. (2014). The GR3D model, a tool to explore the Global Repositioning Dynamics of Diadromous fish Distribution. Ecological modelling, 283, 31-44.