Over the past few months BCCVL and TERN have been working together on a new Species Distribution Modelling and Climate Change Projection capability for the CoESRA virtual desktop. Similar to the BCCVL, CoESRA (Collaborative Environment for ecosystem Science Research and Analysis) is a workflow-based web-enabled cloud platform that allows researchers to perform complex analyses using scientific workflow and then make them available for others to use and re-run with minimal effort. The two teams have integrated the BCCVL modelling API into a new workflow on the CoESRA virtual desktop.
The initial use case follows the paper titled Ecosystem risk assessment of Georgina gidgee woodlands in central Australia by Professor Glenda Wardle from the Desert Ecology Research Group at University of Sydney. This research paper performs an ecosystem risk assessment by applying IUCN Red List protocol. Through the use of species distribution models and various climate change projections the paper found that the potential suitable environment for this species was predicted to decline by at least 30% by the year 2050.
This collaboration between the BCCVL and TERN is to invoke modelling capability to create an overall IUCN assessment as a reproducible Kepler workflow through CoESRA virtual desktop. The above case study showcases an ability to leverage BCCVL capabilities in another cloud platform to further facilitate biodiversity and climate change research.
CoESRA is a joint collaborative project between TERN and fellow NCRIS capabilities, the Australian National Data Service (ANDS), Research Data Storage Infrastructure (RDSI), the National eResearch Collaboration Tools and Resources (NeCTAR), and UQ’s Research Computing Centre.