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dc.contributor.authorOleson, K. L. L.
dc.contributor.authorBagstad, K. J.
dc.contributor.authorFezzi, C.
dc.contributor.authorBarnes, M. D.
dc.contributor.authorDonovan, M. K.
dc.contributor.authorFalinski, K. A.
dc.contributor.authorGorospe, K. D.
dc.contributor.authorHtun, H.
dc.contributor.authorLecky, J.
dc.contributor.authorVilla, F.
dc.contributor.authorWong, T. M.
dc.date.accessioned2023-08-14T11:49:22Z
dc.date.available2023-08-14T11:49:22Z
dc.date.issued2020-11-01
dc.identifier.citationEcological Economics: 177: 106788 (2020)es_ES
dc.identifier.urihttp://hdl.handle.net/10810/62194
dc.description.abstractCoastal zones are popular recreational areas that substantially contribute to social welfare. Managers can use information about specific environmental features that people value, 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, Hawai?i, using a Bayesian belief network (BBN) and a spatially explicit ecosystem services model. The BBN simulates the attractiveness of a site for recreation by combining snorkeler preferences for coastal features with expert 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 (land management), and enhancing coral reef ecosystem conditions (marine management) 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 efforts to increase fish abundance and reduce sediment; however, the effects of management at individual beaches varied. © 2020 Elsevier B.V.es_ES
dc.description.sponsorshipMany thanks to survey team members Lindsay Veazey and Marcus Peng, Michele Barnes for early research assistance, and Derek Ford and Zach Ancona for figures. The manuscript was much improved thanks to comments from Crow White and two anonymous reviewers. Funding was provided by Pacific Islands Climate Science Center (PICSC) award G13AC00361 ; U.S. Department of Agriculture National Institute of Food and Agriculture (USDA-NIFA) grants: Hatch HAW01125-H , McIntire-Stennis HAW01120-M ; National Oceanic and Atmospheric Administration Coral Reef Conservation Program award NA15NOS4820209 ; and the National Socio-Environmental Synthesis Center (SESYNC) NSF DBI-1052875 . Support for Ken Bagstad's time was provided by the U.S. Geological Survey Land Change Science Program . Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.es_ES
dc.language.isoenges_ES
dc.publisherEcological Economicses_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectBayesian belief networkes_ES
dc.subjectHawai‘Ies_ES
dc.subjectLand-sea interactionses_ES
dc.subjectManagement scenario evaluationes_ES
dc.subjectRecreational ecosystem servicees_ES
dc.titleLinking Land and Sea Through an Ecological-Economic Model of Coral Reef Recreationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2020 Elsevier B.V.es_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.ecolecon.2020.106788es_ES
dc.identifier.doi10.1016/j.ecolecon.2020.106788


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© 2020 Elsevier B.V.
Except where otherwise noted, this item's license is described as © 2020 Elsevier B.V.