Nature dependent tourism – Combining big data and local knowledge. (1st July 2023)
- Record Type:
- Journal Article
- Title:
- Nature dependent tourism – Combining big data and local knowledge. (1st July 2023)
- Main Title:
- Nature dependent tourism – Combining big data and local knowledge
- Authors:
- Spalding, Mark D.
Longley-Wood, Kate
McNulty, Valerie Pietsch
Constantine, Sherry
Acosta-Morel, Montserrat
Anthony, Val
Cole, Aaron D.
Hall, Giselle
Nickel, Barry A.
Schill, Steven R.
Schuhmann, Peter W.
Tanner, Darren - Abstract:
- Abstract: The ability to quantify nature's value for tourism has significant implications for natural resource management and sustainable development policy. This is especially true in the Eastern Caribbean, where many countries are embracing the concept of the Blue Economy. The utilization of user-generated content (UGC) to understand tourist activities and preferences, including the use of artificial intelligence and machine learning approaches, remains at the early stages of development and application. This work describes a new effort which has modelled and mapped multiple nature dependent sectors of the tourism industry across five small island nations. It makes broad use of UGC, while acknowledging the challenges and strengthening the approach with substantive input, correction, and modification from local experts. Our approach to measuring the nature-dependency of tourism is practical and scalable, producing data, maps and statistics of sufficient detail and veracity to support sustainable resource management, marine spatial planning, and the wider promotion of the Blue Economy framework. Graphical abstract: Image 1 Highlights: User-generated content and local knowledge are combined to map nature dependency. Nature shapes tourism value over a large spatial footprint in 5 Caribbean nations. Reef-based activities drive over 8% of expenditure, over $118 million annually. Environmental declines in beaches could lead to a loss of 17% of current visitors. Further maps coverAbstract: The ability to quantify nature's value for tourism has significant implications for natural resource management and sustainable development policy. This is especially true in the Eastern Caribbean, where many countries are embracing the concept of the Blue Economy. The utilization of user-generated content (UGC) to understand tourist activities and preferences, including the use of artificial intelligence and machine learning approaches, remains at the early stages of development and application. This work describes a new effort which has modelled and mapped multiple nature dependent sectors of the tourism industry across five small island nations. It makes broad use of UGC, while acknowledging the challenges and strengthening the approach with substantive input, correction, and modification from local experts. Our approach to measuring the nature-dependency of tourism is practical and scalable, producing data, maps and statistics of sufficient detail and veracity to support sustainable resource management, marine spatial planning, and the wider promotion of the Blue Economy framework. Graphical abstract: Image 1 Highlights: User-generated content and local knowledge are combined to map nature dependency. Nature shapes tourism value over a large spatial footprint in 5 Caribbean nations. Reef-based activities drive over 8% of expenditure, over $118 million annually. Environmental declines in beaches could lead to a loss of 17% of current visitors. Further maps cover recreational fishing, paddle-sports, bird- and whale-watching. … (more)
- Is Part Of:
- Journal of environmental management. Volume 337(2023)
- Journal:
- Journal of environmental management
- Issue:
- Volume 337(2023)
- Issue Display:
- Volume 337, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 337
- Issue:
- 2023
- Issue Sort Value:
- 2023-0337-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-07-01
- Subjects:
- Blue economy -- User-generated content -- Ecosystem services -- Eastern caribbean -- Nature dependent tourism -- Wildlife tourism
Environmental policy -- Periodicals
Environmental management -- Periodicals
Environment -- Periodicals
Ecology -- Periodicals
363.705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014797 ↗
http://www.elsevier.com/journals ↗
http://www.idealibrary.com ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1016/j.jenvman.2023.117696 ↗
- Languages:
- English
- ISSNs:
- 0301-4797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.383000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26832.xml