Macroecology of species pools: insights from network theory
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This document discusses the macroecology of species pools in French meadows using network theory to analyze biodiversity drivers and large-scale co-occurrence patterns. It highlights the analysis of over 90,000 relevés and 4,000 species, focusing on environmental and functional identities across different gradients. The findings suggest a bipartite network of ecological communities, demonstrating non-random species co-occurrence and outlining future research directions in species pool analysis.
![Functional identity
Leaf nitrogen content (mg[N]/g)
Leaf phosphorus content (mg[P]/g)](https://image.slidesharecdn.com/2divgrassdenelle-180315154850/85/Macroecology-of-species-pools-insights-from-network-theory-14-320.jpg)
Macroecology of species pools: insights from network theory
- 1. Macroecology of species pools: insights from network theory Application to French meadows Pierre Denelle Centre d’Ecologie Fonctionnelle et Evolutive DIVGRASS consortium
- 4. Synthesis center (CESAB) Eric Garnier, Jens Kattge, Bernard Amiaud, Nicolas Viovy, Sophie Gachet, Sylvain Diquélou, Jean Olivier, Guilhem Debarros, Pierre Cellier, Jessy Loranger, Cyrille Violle, Philippe Choler (PI), Benjamin Borgy, François Munoz, Alexis Mikolajczak Missing: Claudy Jolivet, Sandra Lavorel & Servane Lemauviel DIVGRASS Project Plant Functional Diversity of Grasslands (2011-2013)
- 5. Data combination CLIMATE & DERIVED Precipitation, min/mean/max Temperature, ETP… SOIL CHARACTERISTICS Clay/Sand/Silt, pH, Depth, Water content, CaCO3,… LAND COVER > 90 000 Relevés > 4 000 species COMMUNITY DATA PLANT TRAITS Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Seed Mass,… > 3000 species 7 traits + lat/lon
- 6. DivGrass plots > 90,000 relevés From (Violle et al., 2015) > 4000 species
- 7. How to identify the large-scale drivers of biodiversity in species pools?
- 8. Site-species matrices seen differently: connecting nodes together with links. Classification of species and sites at the same time. Understanding large-scale co-occurrence patterns through the lens of network theory Co-occurrence patterns analysed at a regional scale.
- 9. Network-based species pool results:
- 10. Spatial extent
- 11. Environmental identity Two main PCA axes: Hydric and temperature gradient Acidophile vs calcareous
- 14. Functional identity Leaf nitrogen content (mg[N]/g) Leaf phosphorus content (mg[P]/g)
- 15. Conclusion Bipartite network of ecological communities, with species and sites as nodes, occurrences as links. Topological heterogeneity in link distribution represents non-random co-occurrence patterns. Large-scale modules describe regional species pools with specific functional and biogeographic properties. = species pool
- 16. Perspectives To go further: - Hierarchical modularity analysis - Ecological specialization = species pool
- 17. Thanks for your attention Thanks to the Divgrass consortium pierre.denelle@cefe.cnrs.fr francois.munoz@cirad.fr cyrille.violle@cefe.cnrs.fr