Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change Article Swipe
Jiawei Huang
,
Melissa S. Lucash
,
Robert M. Scheller
,
Alexander Klippel
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1080/13658816.2020.1830997
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1080/13658816.2020.1830997
Communicating and understanding climate induced environmental changes can be challenging, especially using traditional representations such as graphs, maps or photos. Immersive visualizations and experiences offer an intuitive, visceral approach to otherwise rather abstract concepts, but creating them scientifically is challenging. In this paper, we linked ecological modeling, procedural modeling, and virtual reality to provide an immersive experience of a future forest. We mapped current tree species composition in northern Wisconsin using the Forest Inventory and Analysis (FIA) data and then forecast forest change 50 years into the future under two climate scenarios using LANDIS-II, a spatially-explicit, mechanistic simulation model. We converted the model output (e.g., tree biomass) into parameters required for 3D visualizations with analytical modeling. Procedural rules allowed us to efficiently and reproducibly translate the parameters into a simulated forest. Data visualization, environment exploration, and information retrieval were realized using the Unreal Engine. A system evaluation with experts in ecology provided positive feedback and future topics for a comprehensive ecosystem visualization and analysis approach. Our approach to create visceral experiences of forests under climate change can facilitate communication among experts, policy-makers, and the general public.
Related Topics
Concepts
Visualization
Computer science
Climate change
Tree (set theory)
Virtual reality
Data science
Forest ecology
Forest inventory
Data visualization
Environmental resource management
Human–computer interaction
Ecology
Ecosystem
Data mining
Geography
Forest management
Environmental science
Forestry
Biology
Mathematical analysis
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/13658816.2020.1830997
- OA Status
- green
- Cited By
- 74
- References
- 79
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3099026481
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3099026481Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/13658816.2020.1830997Digital Object Identifier
- Title
-
Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate changeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-10Full publication date if available
- Authors
-
Jiawei Huang, Melissa S. Lucash, Robert M. Scheller, Alexander KlippelList of authors in order
- Landing page
-
https://doi.org/10.1080/13658816.2020.1830997Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://figshare.com/articles/dataset/Walking_through_the_forests_of_the_future_using_data-driven_virtual_reality_to_visualize_forests_under_climate_change/13220622Direct OA link when available
- Concepts
-
Visualization, Computer science, Climate change, Tree (set theory), Virtual reality, Data science, Forest ecology, Forest inventory, Data visualization, Environmental resource management, Human–computer interaction, Ecology, Ecosystem, Data mining, Geography, Forest management, Environmental science, Forestry, Biology, Mathematical analysis, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
74Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 15, 2024: 11, 2023: 21, 2022: 16, 2021: 9Per-year citation counts (last 5 years)
- References (count)
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79Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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