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This study examines the economic impacts of closing the Northwestern Hawaiian Islands bottomfish fishery, as part of a larger effort to create an effective marine protected area. An overview of the market for NWHI bottomfish in Hawaii is given using input–output data and a fishery closure analysis is conducted using public data on commercial fishing and primary information collected through interviews with wholesalers, restaurants, and retailers. Assuming the worst-case scenario, the wholesale price per pound of Onaga and Opakapaka is estimated to increase by $0.80 and $0.42, respectively. But this is unlikely, as the own-price elasticity of demand for Hawaii-caught bottomfish is found to be highly elastic and there is widespread substitution with imports. The overall economic loss is thus quite small, while the environmental gains of creating the largest marine protected area in the world could be substantial. 相似文献
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Ashley N. Kern Priscilla Addison Thomas Oommen Sean E. Salazar Richard A. Coffman 《Mathematical Geosciences》2017,49(6):717-735
It has been recognized that wildfire, followed by large precipitation events, triggers both flooding and debris flows in mountainous regions. The ability to predict and mitigate these hazards is crucial in protecting public safety and infrastructure. A need for advanced modeling techniques was highlighted by re-evaluating existing prediction models from the literature. Data from 15 individual burn basins in the intermountain western United States, which contained 388 instances and 26 variables, were obtained from the United States Geological Survey (USGS). After randomly selecting a subset of the data to serve as a validation set, advanced predictive modeling techniques, using machine learning, were implemented using the remaining training data. Tenfold cross-validation was applied to the training data to ensure nearly unbiased error estimation and also to avoid model over-fitting. Linear, nonlinear, and rule-based predictive models including naïve Bayes, mixture discriminant analysis, classification trees, and logistic regression models were developed and tested on the validation dataset. Results for the new non-linear approaches were nearly twice as successful as those for the linear models, previously published in debris flow prediction literature. The new prediction models advance the current state-of-the-art of debris flow prediction and improve the ability to accurately predict debris flow events in wildfire-prone intermountain western United States. 相似文献
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A comparison of aerosol chemical and optical properties from the 1st and 2nd Aerosol Characterization Experiments 总被引：1，自引：0，他引：1
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Natural Hazards - Defining an internationally equitable distribution of the burdens of reducing greenhouse gases has been one of core concerns for as long as climate policies have been debated.... 相似文献
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