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

1st meeting: postponed to 2021 tbd

PIs: Florian Hartig and Douglas Yu

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.

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