Nature dependent tourism - Combining big data and local knowledge.

Blue economy Eastern caribbean Ecosystem services Nature dependent tourism User-generated content Wildlife tourism

Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
01 Jul 2023
Historique:
received: 19 09 2022
revised: 10 02 2023
accepted: 06 03 2023
medline: 11 4 2023
pubmed: 20 3 2023
entrez: 19 3 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36934498
pii: S0301-4797(23)00484-X
doi: 10.1016/j.jenvman.2023.117696
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117696

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mark D Spalding (MD)

The Nature Conservancy, Protect Oceans Land and Water Program, Strada delle Tolfe, 14, Siena, 53100, Italy; Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, CB2 3QZ, UK. Electronic address: mspalding@tnc.org.

Kate Longley-Wood (K)

The Nature Conservancy, Protect Oceans Land and Water Program, 99 Bedford St, Boston, MA, 02111, USA. Electronic address: kathryn.longley-wood@tnc.org.

Valerie Pietsch McNulty (VP)

The Nature Conservancy, Caribbean Division, Coral Gables, FL, 33134, USA. Electronic address: valerie.mcnulty@tnc.org.

Sherry Constantine (S)

The Nature Conservancy, Eastern Caribbean Program, P.O. Box 3397, Old Fort Road, St. George's, Grenada. Electronic address: sconstantine@tnc.org.

Montserrat Acosta-Morel (M)

The Nature Conservancy, Avenida de los Próceres esq. Euclides Morillo, Diamond Mall, 1er Nivel, Local 6-A, Santo Domingo, Dominican Republic. Electronic address: montse.acosta@gmail.com.

Val Anthony (V)

TripAdvisor, 400 1st Ave, Needham, MA, 02494, USA. Electronic address: valeriya.anthony@gmail.com.

Aaron D Cole (AD)

Center for Integrated Spatial Research, Environmental Studies Department, University of California, Santa Cruz, CA, 95064, USA. Electronic address: adcole@ucsc.edu.

Giselle Hall (G)

The Nature Conservancy, Caribbean Program, 1b Norwood Avenue, Kingston 5, Jamaica. Electronic address: giselle.hall@tnc.org.

Barry A Nickel (BA)

Center for Integrated Spatial Research, Environmental Studies Department, University of California, Santa Cruz, CA, 95064, USA. Electronic address: bnickel@ucsc.edu.

Steven R Schill (SR)

The Nature Conservancy, Caribbean Division, Coral Gables, FL, 33134, USA. Electronic address: sschill@tnc.org.

Peter W Schuhmann (PW)

Department of Economics and Finance, University of North Carolina Wilmington, 601 S. College Road, Wilmington, NC, 28403, USA. Electronic address: schuhmannp@uncw.edu.

Darren Tanner (D)

Microsoft, AI for Good Research Lab, Redmond, WA, 98052, USA. Electronic address: Darren.Tanner@microsoft.com.

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Classifications MeSH