Dr Matthias Grenié

Postdoc

Research Interests

 

I’m interested in the macro-ecology of organisms traits. I am interested in global relationships of organisms strategies and their environments. At iDiv, I am mainly working on the macro-ecology of invasive plant species and understanding how invasive and native species share the functional space at local and regional levels.

My research mainly uses big databases in ecology: species occurrences, species traits, global climatic data. The massive amount data needs proper tools and reproducible workflows to be tractable. Tools that foster reproducible science such as those proposed by rOpenSci are thus heavily needed by the research community. One of my interest is to contribute in the better (re-)use of these data through R packages.

Scientific career

 

  • Oct. 2020 – Now Postdoctoral researcher in the s Synthesis Centre for Biodiversity Sciences (sDiv). Working mainly with Marten Winter. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany.
  • Sept. 2016 – Sept. 2020 PhD, University of Montpellier, France. Centre d’Écologie Fonctionnelle et Évolutive (CEFE), Montpellier. PhD thesis “Outside the norm: deviation from ecological optimality and functional originality”.
  • Sept. 2013 – Sept. 2015 Master in General Biology. École Norma  le Supérieure de Lyon, France.
  • Sept. 2012 – Sept. 2013 Bachelor in General Biology. École Normale Supérieure de Lyon, France.

Selected Publications

 

  • Loiseau, N., Mouquet, N., Casajus, N., Grenié, M., Guéguen, M., Maitner, B., Mouillot, D., Ostling, A., Renaud, J., Tucker, C., Velez, L., Thuiller, W., Violle, C., 2020. Global distribution and conservation status of ecologically rare mammal and bird species. Nature Communications 11, 5071. https://doi.org/10.1038/s41467-020-18779-w
  • Grenié, M., Violle, C., Munoz, F., 2020. Is prediction of species richness from stacked species distribution models biased by habitat saturation? Ecological Indicators 111, 105970. doi.org/10.1016/j.ecolind.2019.105970
  • Grenié, M., Mouillot, D., Villéger, S., Denelle, P., Tucker, C.M., Munoz, F., Violle, C., 2018. Functional rarity of coral reef fishes at the global scale: Hotspots and challenges for conservation. Biological Conservation 226, 288–299. https://doi.org/10.1016/j.biocon.2018.08.011
  • Grenié, M., Denelle, P., Tucker, C.M., Munoz, F., Violle, C., 2017. funrar: An R package to characterize functional rarity. Diversity and Distributions 23, 1365–1371. https://doi.org/10.1111/ddi.12629
  • Munoz, F., Grenié, M., Denelle, P., Taudière, A., Laroche, F., Tucker, C., Violle, C., 2018. ecolottery: Simulating and assessing community assembly with environmental filtering and neutral dynamics in R. Methods in Ecology and Evolution 9, 693–703. https://doi.org/10.1111/2041-210X.12918

iDiv publications

 

Grenié, M., Gruson, H.

(2023): fundiversity: a modular R package to compute functional diversity indices. Ecography

Cutts, V., Hanz, D. M., Barajas-Barbosa, M. P., Schrodt, F., Steinbauer, M. J., Beierkuhnlein, C., Denelle, P., Fernández-Palacios, J. M., Gaüzère, P., Grenié, M., Irl, S. D. H., Kraft, N., Kreft, H., Maitner, B., Munoz, F., Thuiller, W., Violle, C., Weigelt, P., Field, R., Algar, A. C.

(2023): Links to rare climates do not translate into distinct traits for island endemics. Ecology Letters

Gaüzère, P., Blonder, B., Denelle, P., Fournier, B., Grenié, M., Delalandre, L., Münkemüller, T., Munoz, F., Violle, C., Thuiller, W.

(2023): The functional trait distinctiveness of plant species is scale dependent. Ecography

Grenié, M., Berti, E., Carvajal-Quintero, J., Dädlow, G. M. L., Sagouis, A. and Winter, M.

(2022): Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices. Methods in Ecology and Evolution

Jurburg, S. D., Buscot, F., Chatzinotas, A., Chaudhari, N. M., Clark, A. T., Garbowski, M., Grenié, M., Hom, E. F. Y., Karakoç, C., Marr, S., Neumann, S., Tarkka, M., van Dam, N. M., Weinhold, A., Heintz-Buschart, A.

(2022): The community ecology perspective of omics data. Microbiome
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Puschstrasse 4
04103 Leipzig
Germany

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Room

A.01.02

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Affiliation

Leipzig University

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