Vessel Day Scheme and Tuna Catch in the Pacific Island Region

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ABSTRACTTuna fishing is a major source of government revenue and economic growth in the Pacific Island countries. In 2007, a group of these countries introduced the Vessel Day Scheme (VDS), marking a shift from older access agreements to a more structured effort‐based management system. The VDS introduced tradeable fishing days as a mechanism to control effort and generate higher economic returns. Since its implementation, domestic tuna catches in VDS‐participating countries have shown notable increase. This study examines how the VDS affected tuna catches in 17 Pacific countries from 2000 to 2020. Using a Difference‐in‐Differences method, the results show that countries participating in the VDS increased their tuna catches by more than 200% compared to non‐VDS countries. These findings suggest that while the VDS has economic benefits, stronger conservation efforts are also needed to make sure tuna fishing remains sustainable in the future.

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The Republic of Korea-Pacific Islands Climate Prediction Services Project
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  • Bulletin of the American Meteorological Society
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Seasonal prediction provides critical information for the tropical Pacific region, where the economy and livelihood is highly dependent on climate variability. While the highest skills of dynamical prediction systems are usually found in the tropical Pacific, National Hydrological and Meteorological Services (NHMS) in the Pacific Islands Countries (PICs) do not take full advantage of such scientific achievements. The Republic of Korea-Pacific Islands Climate Prediction Services (ROK-PI CliPS) project aims to help PICs produce regionally tailored climate prediction information using a dynamical seasonal prediction system. The project is being jointly implemented by the APEC Climate Center (APCC) and the Secretariat of the Pacific Regional Environment Programme (SPREP), in close collaboration with NHMSs in PICs. The regionally tailored, dynamical-statistical hybrid climate prediction system uses predictors that were identified through communications with NHMSs. The predictors were selected based on the empirical physical relationship of the local climate fluctuations, indicated by multi-institutional and multimodel ensembles. This hybrid system makes full use of dynamical seasonal predictions, which have not been commonly utilized in current operation in PICs. In accordance with system development, additional efforts have been made for PIC NHMSs to build capacity by increasing their knowledge and skill needed to develop such methodologies and systems. Nonetheless, the successive and strategic efforts to sustain and further improve climate predictions in the Pacific Islands region are required.

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