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Data release for Linking land and sea through an ecological-economic model of coral reef recreation

Metadata Updated: October 29, 2025

Coastal zones are popular recreational areas that substantially contribute to social welfare. Managers can use information about specific environmental features that people appreciate, and how these might change under different management scenarios, to spatially target actions to areas of high current or potential value. We explored how snorkelers’ experience would be affected by separate and combined land and marine management actions in West Maui, Hawaiʻi, using a Bayesian Belief Network (BBN) and a spatially explicit ecosystem services model. The BBN simulates recreational attractiveness by combining snorkelers’ preferences for coastal features with experts’ opinions on ecological dynamics, snorkeler behavior, and management actions. A choice experiment with snorkelers elucidated their preferences for sites with better ecological and water-quality conditions. Linking the economic elicitation to the spatially explicit BBN to evaluate land-sea management scenarios provides specific guidance on where and how to act in West Maui to maximize ecosystem service returns. Improving coastal water quality through sediment runoff and cesspool effluent reductions, and enhancing coral reef ecosystem conditions, positively affected overall snorkeling attractiveness across the study area, but with differential results at specific sites. The highest improvements were attained through joint land-sea management, driven by strong effects of efforts to increase fish abundance and reduce sediment, however, management priorities at individual beaches varied.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date September 12, 2025
Metadata Updated Date October 29, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 12, 2025
Metadata Updated Date October 29, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-5e2f3123e4b0a79317d42278
Data Last Modified 2020-08-20T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 092958bb-96f7-4549-a1e2-31862c32df0a
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -156.705587012, 20.8997973995, -156.637757481, 21.0284678967
Source Datajson Identifier True
Source Hash b177dd843a31b931f17f04ccf675cbc4e3de910ac0cfd39dbe1c87141dbcb078
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -156.705587012, 20.8997973995, -156.705587012, 21.0284678967, -156.637757481, 21.0284678967, -156.637757481, 20.8997973995, -156.705587012, 20.8997973995}

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