EcoCommons Australia virtual laboratories with cloud computing: meeting diverse user needs for ecological modeling and decision-making

Elisa Bayraktarov, Samantha Low-Choy*, Abhimanyu Raj Singh, Linda J. Beaumont, Kristen J. Williams, John B. Baumgartner, Shawn W. Laffan, Daniela Vasco, Robert Cosgrove, Jenna Wraith, Jessica Fenker Antunes, Brendan Mackey

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Biodiversity decline and climate change are among the most important environmental issues society faces. Information to address these issues has benefited from increasing big data, advances in cloud computing, and subsequent new tools for analytics. Accessing such tools is streamlined by virtual laboratories for ecological analysis, like the ‘Biodiversity and Climate Change Virtual Laboratory’ (BCCVL) and ‘ecocloud’. These platforms help reduce time and effort spent on developing programming skills, data acquisition and curation, plus model building. Recently this functionality was extended, producing EcoCommons Australia—a web-based ecological modeling platform for environmental problem-solving—with upgraded infrastructure and improved ensemble modeling, post-model analysis, workflow transparency and reproducibility. We outline our user-centered approach to systems design, from initial surveys of stakeholder needs to user involvement in testing, and collaboration with specialists. We illustrate EcoCommons and compare model evaluation statistics through four case studies, highlighting how the modular platform meets users' needs.

Original languageEnglish
Article number106255
Pages (from-to)1-15
Number of pages15
JournalEnvironmental Modelling and Software
Volume183
Early online date3 Nov 2024
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Best-practice modeling
  • FAIR data
  • Scientific workflows
  • Species distribution models
  • User-centered design
  • Virtual laboratory

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