Related Experiment Video
Updated: Aug 6, 2025

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
Published on: October 28, 2022
Nature dependent tourism - Combining big data and local knowledge
Mark D Spalding1, Kate Longley-Wood2, Valerie Pietsch McNulty3
1The 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.
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.
More Related Videos
Related Concept Videos
Selected Data About Geographic Locations
Levels of Use of a GIS
Naturalistic Observations
Ecological Niches
Biodiversity and Human Values
Conservation of Small Populations

