Immersive landscapes: modelling ecosystem reference conditions in virtual reality

Tom Chandler, Anna E. Richards, Bernhard Jenny, Fiona Dickson, Jiawei Huang, Alexander Klippel, Michael Neylan, Florence Wang, Suzanne M. Prober

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Context: Understanding the variability and dynamics of ecosystems, as well as their responses to climate or land use change, is challenging for policy makers and natural resource managers. Virtual reality (VR) can be used to render virtual landscapes as immersive, visceral experiences and communicate ecosystem dynamics to users in an effective and engaging way. Objectives: To illustrate the potential and believability of VR, a team of landscape ecologists and immersive visualisation researchers modelled a reference Australian Box Gum Grassy Woodland landscape, an endangered eucalypt woodland ecosystem that is difficult to observe in its pre-European colonisation form. Methods: We document considerations for designing the immersive virtual landscape, including the creation of animated three-dimensional (3D) plants that alternate between the seasons, and soundscapes that change through the course of a simulated day. We used a heuristic evaluation with experts to assess the potential of immersive VR landscape modeling. Results: This cross disciplinary collaboration resulted in a VR experience that was evaluated in a series of meetings by 27 ecologists and managers in biodiversity conservation, many of whom were familiar with Box Gum Grassy Woodlands. 88% of participants stated that the simulation was believable and participants thought that virtual landscapes held great potential for education, public engagement and land management. Conclusions: Possible future directions include open-source libraries of ecological 3D models, and the visual simulation of historic landscapes and future climate change scenarios.

Original languageEnglish (US)
Pages (from-to)1293-1309
Number of pages17
JournalLandscape Ecology
Volume37
Issue number5
DOIs
StatePublished - May 2022

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Ecology
  • Nature and Landscape Conservation

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