AFSC/REFM: Alaska regional economic data collected through surveys 2004, 2005, 2009, Seung
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Commercially available regional economic data for Alaska fisheries [such as IMpact analysis for PLANning (IMPLAN)] are unreliable. Therefore, these data need to be either collected or estimated based on more reliable information. These data have been collected or estimated for important economic variables such as cost, employment, and factor income (labor income and capital) for Alaska fisheries. The data thus collected or estimated have been used to develop regional economic models for Alaska fisheries in order to estimate the economic impacts of Alaska fisheries.
AFSC/REFM: Nearshore fish survey in northern Bristol Bay, Alaska, July-August 2009
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The project consisted of a nearshore fish, invertebrate, and habitat survey in northern Bristol Bay, Alaska. A 32-ft. gillnet vessel, the F/V Willow was chartered for the survey, and we also used a 20-ft. aluminum skiff with 90-hp. motor for shallow water work. The survey was staged out of Dillingham, Alaska and took place from July 26-August 8, 2009.The main gear types used during the survey were a beach seine and a bottom beam trawl. A surface pair trawl (towed by the vessel and the skiff) was deployed in one location. Using these gear types, we sampled from the shoreline to 17 m depth, as well as surface waters ~1 km from the shoreline. Catches were sorted to species, enumerated, and when possible weighed using spring scales. Length measurements were taken for most species. Voucher specimens were preserved in 10% formalin for confirmation of species identification. A small number of samples were frozen for age and energetics analysis . Photographs were taken of most species. Small, datalogging conductivity-temperature-depth recorders (CTDs) were deployed on the trawl gear, and also placed on temporary moorings in several locations to study fluctuations in temperature and salinity over tidal cycles. We also recorded habitat variables at beach seine sites according to the methodology used in the Nearshore Fish Atlas of Alaska. During July 26-August 1, 2009 sampling was conducted in Nushagak Bay. High wind and waves hampered the sampling throughout this entire week and largely determined possible sampling locations. Two days were completely lost due to weather. On August 3 we traveled from Dillingham to the west side of the Nushagak and from August 4-8 sampling was conducted along the Nushagak Peninsula and in Kulukak, Nunavachak, Ungalikthluk, and Togiak Bays. During most of this time we experienced high winds but they did not hamper the sampling to the same degree as in the Nushagak. On August 8 we traveled back to Dillingham.
Northeast Marine Recreational Fishing Expenditure Survey 1998
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A series of expenditure surveys have been done both regionally and nationally. This data pertains to the Northeast U.S. states that was collected in 1998. Expenditures on trips by mode (for-hire, private boat, and shore) were collected for both residents and non-residents of each state, and annual expenditures on durable goods were collected by resident status. Expenditures were collected both as an add-on to the intercept, and a followup phone survey with those who completed the intercept and a separate random sample of households.
AFSC/REFM: Steller sea lion economic survey data, U.S., 2007, Lew
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The project will produce a valuation function that depends on factors related to Steller sea lion (SSL) protection measures, and may include some combination of the expected aggregate size of the population and improvements to the ESA listing status resulting from protection measures, cost of the protection measures, and effects of protection measures on local economies, fishery participants, and consumer fish prices. This function can be used to identify non-consumptive use values for SSLs and how these values are affected by protection measures, thereby providing valuable information to policy makers.
Hawaii Charter Fishing Cost Earnings Survey 2012
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These data represent a cost-earnings study of the main Hawaiian Island Charter fishing fleet in 2012. Data collected include fisher classification, vessel characteristics, levels of investment, trip-level expenditures, fishing behavior, market participation, social aspects of the fishery, and demographics.