Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

54
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
54
Levels of Use of a GIS01:29

Levels of Use of a GIS

76
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
76
Naturalistic Observations02:30

Naturalistic Observations

15.6K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.6K
Ecological Niches02:02

Ecological Niches

24.1K
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
24.1K
Biodiversity and Human Values01:24

Biodiversity and Human Values

13.3K
Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
13.3K
Conservation of Small Populations02:04

Conservation of Small Populations

13.2K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
13.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Global high-resolution mapping of seagrass to support conservation.

Nature·2026
Same author

A Machine Learning Approach to Prioritize Place-Based Prevention to Address Cardiovascular Disease Burden in New York City.

American journal of preventive medicine·2026
Same author

A horizon scan of biological conservation issues for 2026.

Trends in ecology & evolution·2025
Same author

Coffee farmers willingness to accept payments for ecosystem services: Evidence from a choice experiment in Honduras.

Journal of environmental management·2025
Same author

Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City.

BMJ public health·2025
Same author

A horizon scan of biological conservation issues for 2025.

Trends in ecology & evolution·2024

Related Experiment Video

Updated: Aug 6, 2025

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
07:17

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Published on: October 28, 2022

1.6K

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.

Journal of Environmental Management
|March 19, 2023
PubMed
Summary
This summary is machine-generated.

This study quantifies nature-based tourism value in the Eastern Caribbean using user-generated content and AI. Findings support sustainable resource management and the Blue Economy framework for small island nations.

Keywords:
Blue economyEastern caribbeanEcosystem servicesNature dependent tourismUser-generated contentWildlife tourism

More Related Videos

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

2.9K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Related Experiment Videos

Last Updated: Aug 6, 2025

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
07:17

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Published on: October 28, 2022

1.6K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

2.9K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Area of Science:

  • Environmental Economics
  • Tourism Management
  • Marine Spatial Planning

Background:

  • Quantifying nature's value for tourism is crucial for sustainable development, particularly in the Eastern Caribbean's Blue Economy initiatives.
  • Understanding tourist preferences through user-generated content (UGC) and AI/ML is an emerging field.
  • Small island nations face unique challenges in valuing and managing nature-dependent tourism.

Purpose of the Study:

  • To model and map nature-dependent tourism sectors across five Eastern Caribbean island nations.
  • To develop a practical and scalable approach for measuring tourism's nature-dependency.
  • To provide data supporting sustainable resource management and Blue Economy policies.

Main Methods:

  • Utilized extensive user-generated content (UGC) to analyze tourist activities and preferences.
  • Applied artificial intelligence (AI) and machine learning (ML) approaches to model tourism data.
  • Incorporated local expert input for data correction and refinement.

Main Results:

  • Developed detailed models and maps of nature-dependent tourism sectors.
  • Generated statistics on the nature-dependency of tourism across the studied nations.
  • Demonstrated a scalable methodology for quantifying tourism's environmental value.

Conclusions:

  • The developed approach is practical and scalable for assessing nature-dependent tourism.
  • The findings provide valuable data for sustainable resource management and marine spatial planning.
  • This work supports the promotion and implementation of the Blue Economy framework in small island developing states.