sCom – Advancing inference for eDNA and other novel, high-throughput community data

First meeting: 11.-15.10.2021

PIs:Florian Hartig and Douglas Yu

Project Summary: In recent years, two major innovations have occurred in community ecology. The first is the
emergence of high-throughput methods (e.g. eDNA, acoustic monitoring) for rapidly creating
large community assessments. The second is new statistical methods to analyze such
datasets. sCom will bring together statistical experts and producers of big datasets to develop
and validate these methods, to understand the environmental and biological factors that
govern biodiversity patterns at the community scale, and ultimately to better conserve and
manage nature.

Group Members: Florian Hartig (University of Regensburg); Douglas Yu (University of East Anglia); Maximilian Pichler (University of Regensburg); Duarte Viana (Estación Biológica de Doñana, CSIC); Laura Pollock (McGill University); Mathew Leibold (University of Florida); Damaris Zurell (University of Potsdam); Jon Chase (iDiv/MLU); Wilfried Thuiller (CNRS); Otso Ovaskainen (University of Jyväskylä); Nerea Abrego (University of Jyväskylä); Sara Si-Moussi (LECA - CNRS); David Warton (UNSW Sydney); Gurutzeta Guillera-Arroita (Pyrenean Institute of Ecology, Spanish National Research Council); Giovanni Poggiato (Laboratoire d'Ecologie Alpine); Grenoble
Loïc Pellissier (ETH); Alex Diana (University of Kent)

 

Second meeting: 09.05.-13.05.2022

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