Aesthetic value, or beauty, is important to the relationship between humans and natural environments and is, therefore, a fundamental socio-economic attribute of conservation alongside other ecosystem services. However, beauty is difficult to quantify and is not estimated well using traditional approaches to monitoring coral-reef aesthetics. To improve the estimation of ecosystem aesthetic values, we developed and implemented a novel framework used to quantify features of coral-reef aesthetics based on people's perceptions of beauty. Three observer groups with different experience to reef environments (Marine Scientist, Experienced Diver and Citizen) were virtually immersed in Australian's Great Barrier Reef (GBR) using 360° images. Perceptions of beauty and observations were used to assess the importance of eight potential attributes of reef-aesthetic value. Among these, heterogeneity, defined by structural complexity and colour diversity, was positively associated with coral-reef-aesthetic values. There were no group-level differences in the way the observer groups perceived reef aesthetics suggesting that past experiences with coral reefs do not necessarily influence the perception of beauty by the observer. The framework developed here provides a generic tool to help identify indicators of aesthetic value applicable to a wide variety of natural systems. The ability to estimate aesthetic values robustly adds an important dimension to the holistic conservation of the GBR, coral reefs worldwide and other natural ecosystems.
Using virtual reality to estimate aesthetic values of coral reefs
Julie Vercelloni,Julie Vercelloni,S. Clifford,M. Caley,Alan R. Pearse,Ross Brown,A. James,Bryce Christensen,Tomasz Bednarz,K. Anthony,Manuel González-Rivero,Manuel González-Rivero,K. Mengersen,E. Peterson
Published 2018 in Royal Society Open Science
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- Publication year
2018
- Venue
Royal Society Open Science
- Publication date
2018-04-01
- Fields of study
Geography, Computer Science, Environmental Science, Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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