Article ; Online: Evaluating the costs and benefits of marsh-management strategies while accounting for uncertain sea-level rise and ecosystem response.
PloS one
2018 Volume 13, Issue 8, Page(s) e0200368
Abstract: Prioritization of marsh-management strategies is a difficult task as it requires a manager to evaluate the relative benefits of each strategy given uncertainty in future sea-level rise and in dynamic marsh response. A modeling framework to evaluate the ... ...
Abstract | Prioritization of marsh-management strategies is a difficult task as it requires a manager to evaluate the relative benefits of each strategy given uncertainty in future sea-level rise and in dynamic marsh response. A modeling framework to evaluate the costs and benefits of management strategies while accounting for both of these uncertainties has been developed. The base data for the tool are high-resolution uncertainty-analysis results from the SLAMM (Sea-Level Affecting Marshes Model) under different adaptive-management strategies. These results are combined with an ecosystem-valuation assessment from stakeholders. The SLAMM results and stakeholder values are linked together using "utility functions" that characterize the relationship between stakeholder values and geometric metrics such as "marsh area," marsh edge," or "marsh width." The expected-value of each site's ecosystem benefits can then be calculated and compared using estimated costs for each strategy. Estimates of optimal marsh-management strategies may then be produced, maximizing the "ecosystem benefits per estimated costs" ratio. |
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MeSH term(s) | Conservation of Natural Resources/economics ; Cost-Benefit Analysis ; Ecosystem ; Seawater/analysis ; Tidal Waves ; Uncertainty ; Wetlands |
Language | English |
Publishing date | 2018-08-15 |
Publishing country | United States |
Document type | Evaluation Studies ; Journal Article ; Research Support, Non-U.S. Gov't |
ISSN | 1932-6203 |
ISSN (online) | 1932-6203 |
DOI | 10.1371/journal.pone.0200368 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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