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DESCRIPTION:'Predicting the architecture of biodiversity'\n\nDominique Grav
 el (University of Sherbrooke)\n	Tuesday September 25\, 12-1pm\n	McIntyre Bui
 lding\, Room 1027\n\nAbstract: Ecologists have always been fascinated by t
 he spatial distribution of species richness. But biodiversity is more than
  the distribution of species\, it is also the collection of interactions a
 mong them driving ecosystem processes and supporting diversification of li
 fe. The representation of communities as networks of interacting species\,
  populations and individuals\, is a convenient formalism to describe the s
 patial distribution of biodiversity. It is however fairly limited by our c
 apacity to document such networks over space and time. Another challenge i
 s to predict the emergence and re-assembly of communities following specie
 s responses to global changes\, such as range shifts\, invasions and extin
 ctions. Predicting interactions among species that never co-occurred prove
 s challenging\, as traditional empirical methods of food web sampling such
  as gut content analysis cannot be performed.\n\nInferring potential inter
 actions among species of an arbitrary defined pool is a major step to pred
 ict the structure of emergent communities and their functioning. Developme
 nt of predictive models of trophic interactions could greatly improve our 
 understanding of large-scale food web structure and our capacity to antici
 pate major changes in ecosystem functioning. I will first review current a
 pproaches used to predict ecological networks of interactions\, using info
 rmation such as functional traits\, phylogenies and co-occurrence. I will 
 show there are essentially two broad categories of methods\, phenomenologi
 cal and mechanistic\, each of them with pros and cons. Then I will present
  an analysis I performed to reconstruct trophic interaction networks among
  marine pelagic fishes\, at the global scale. This unprecedent effort reve
 als that\, surprisingly\, marine food webs are remarkably well connected b
 ecause of significant range overlap between species. While this connectivi
 ty provide considerable robustness to node extinction\, it also suggest th
 at disturbances can rapidly spread across the globe and has the potential 
 to generate significant indirect interactions. I expect that\, with the up
 surge of interaction data availability\, such methods will be more common 
 and could potentially change our view of the conundrum of biodiversity's a
 rchitecture.\n
DTSTART:20180925T160000Z
DTEND:20180925T170000Z
LOCATION:Room 1027\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:Seminar Series in Quantitative Life Sciences and Medicine
URL:/qls/channels/event/seminar-series-quantitative-li
 fe-sciences-and-medicine-289486
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