Macroecology meets hi-tech
You are invited to a working group to discuss the development of a new CBA initiative investigating the potential of new data sources to unify the three elements of biodiversity - ecosystems, species and genes.
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Description
We are all familiar with the “Noss Biodiversity Pyramid” which has diversity of ecosystems at the top, species in the middle, and genes at the bottom. These are typically considered separately.
The discussion will consider how new data sources – especially molecular- and image-based “biodiversity scans” of hyperdiverse taxa and increasingly high resolution remote sensing – could unify these three elements for biogeographic (macroecology, macrogenetics) and conservation applications.
In parallel, is there opportunity to develop new theory, metrics and analytical method to unify the three layers?
Finally, can we identify systems in which to test and refine such methods?
The purpose of this working group is discuss and develop a possible new CBA initiative in this space. Anyone interested is very welcome – please RSVP to Paula.
Location
Ecology Meeting Room, 3rd floor, RN Robertson Building, ANU
Upcoming events in this series
Carlos Melian, EAWAG, Switzerland, will lead a workshop exploring the theoretical foundations and examples of network and multilayer network analysis for biological and ecological systems.
Join keynote speakers Nic Rawlence, University of Otago and Emilio Mármol Sánchez, University of Copenhagen for an exploratory workshop for researchers interested in generating and utilising historical datasets.
Jessica Storer and Rachel O’Neill from the University of Connecticut will give an overview of assembling repetitive parts of the genome, how to check assemblies and curate and annotate the genome for transposable elements.
Henry North from the University of Cambridge will present a hands-on workshop focused on the application of whole-genome population genomics to monitoring and managing invasive and endangered populations.
Paula Riccardi from the Bavarian State Collection of Zoology will introduce a framework for contextualising large volumes of imaging and DNA barcoding data into taxonomic revisions and species descriptions.