POGGIALE Jean-Christophe's profile
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POGGIALE Jean-Christophe

  • Mediterranean Institute of Oceanography (MIO) - UMR 7294, Aix-Marseille University, Marseille, France
  • Biodiversity, Community ecology, Dispersal & Migration, Ecosystem functioning, Food webs, Foraging, Habitat selection, Interaction networks, Marine ecology, Population ecology, Spatial ecology, Metacommunities & Metapopulations, Statistical ecology, Theoretical ecology
  • recommender

Recommendations:  0

Review:  1

Areas of expertise
Studies in mathematics (geometry) - 1986 - 1991 PhD thesis in mathematics and applications - 1994 Post-Doc in theoretical ecology Assistant - Professor at Aix-Marseille University (teach mathematics and theoretical ecology) - 1995 - 2005 Full Professor at Aix-Marseille University (teach mathematics, modeling in ecology and theoretical ecology) - since 2005 Skills in mathematical modeling in ecology, I developed tools for making explicit links between individual traits (behavioral, physiological) and population or community dynamics for ecosystem functionning studies.

Review:  1

29 Aug 2023
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Provision of essential resources as a persistence strategy in food webs

High-order interactions in food webs may strongly impact persistence of species

Recommended by based on reviews by Jean-Christophe POGGIALE and 1 anonymous reviewer

Michael Raatz (2023) provides here a relevant exploration of higher-order interactions, i.e. interactions involving more than two related species (Terry et al. 2019), in the case of food web and competition interactions. More precisely, he shows by modeling that essential resources may significantly mediate focal species' persistence. Simultaneously, the provision of essential resources may strongly affect the resulting community structure, by driving to extinction first the predator and then, depending on the higher-order interaction, potentially also the associated competitor. 

Today, all ecologists should be aware of the potential effects of high-order interactions on species' (and likely on ecosystem's) fate (Golubski et al. 2016, Grilli et al. 2017). Yet, we should soon be prepared to include any high-order interaction into any interaction network (i.e. not only between species, but also between species and abiotic components, and between biotic, anthropogenic and abiotic components too). For this purpose, we will need innovative approaches such as hypergraphs (Golubski et al. 2016) and discrete-event models (Gaucherel and Pommereau 2019, Thomas et al. 2022) able to manage highly complex interactions, with numerous interacting components and variables. Such a rigorous study is a necessary and preliminary step in taking into account such a higher complexity. 

References

Gaucherel, C. and F. Pommereau. 2019. Using discrete systems to exhaustively characterize the dynamics of an integrated ecosystem. Methods in Ecology and Evolution 00:1–13. https://doi.org/10.1111/2041-210X.13242

Golubski, A. J., E. E. Westlund, J. Vandermeer, and M. Pascual. 2016. Ecological Networks over the Edge: Hypergraph Trait-Mediated Indirect Interaction (TMII) Structure trends in Ecology & Evolution 31:344-354. https://doi.org/10.1016/j.tree.2016.02.006

Grilli, J., G. Barabas, M. J. Michalska-Smith, and S. Allesina. 2017. Higher-order interactions stabilize dynamics in competitive network models. Nature 548:210-213. https://doi.org/10.1038/nature23273

Raatz, M. 2023. Provision of essential resources as a persistence strategy in food webs. bioRxiv, ver. 3 peer-reviewed and recommended by Peer Community in Ecology. https://doi.org/10.1101/2023.01.27.525839

Terry, J. C. D., R. J. Morris, and M. B. Bonsall. 2019. Interaction modifications lead to greater robustness than pairwise non-trophic effects in food webs. Journal of Animal Ecology 88:1732-1742. https://doi.org/10.1111/1365-2656.13057

Thomas, C., M. Cosme, C. Gaucherel, and F. Pommereau. 2022. Model-checking ecological state-transition graphs. PLoS Computational Biology 18:e1009657. https://doi.org/10.1371/journal.pcbi.1009657

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POGGIALE Jean-Christophe

  • Mediterranean Institute of Oceanography (MIO) - UMR 7294, Aix-Marseille University, Marseille, France
  • Biodiversity, Community ecology, Dispersal & Migration, Ecosystem functioning, Food webs, Foraging, Habitat selection, Interaction networks, Marine ecology, Population ecology, Spatial ecology, Metacommunities & Metapopulations, Statistical ecology, Theoretical ecology
  • recommender

Recommendations:  0

Review:  1

Areas of expertise
Studies in mathematics (geometry) - 1986 - 1991 PhD thesis in mathematics and applications - 1994 Post-Doc in theoretical ecology Assistant - Professor at Aix-Marseille University (teach mathematics and theoretical ecology) - 1995 - 2005 Full Professor at Aix-Marseille University (teach mathematics, modeling in ecology and theoretical ecology) - since 2005 Skills in mathematical modeling in ecology, I developed tools for making explicit links between individual traits (behavioral, physiological) and population or community dynamics for ecosystem functionning studies.