Alaska Science Center
This dataset contains fatty acid data expressed as mass percent of total fatty acids for several species potentially preyed upon by yellow-billed loons. These data were utilized in a quantitative fatty acid signature analysis to estimate the diet of yellow-billed loons nesting on the Arctic Coastal Plain of Alaska (Haynes et al. 2015).
This data is part of the GulfWatch Alaska (GWA) long term monitoring program, benthic monitoring component. The data consists of date, time, and temperature measurements from intertidal rocky sampling sites. The site name is part of the file name. The dataset is several comma separated files exported from a download from the HOBO temperature logger. Sites are in Alaska and include locations in Katmai National Park and Preserve, Kenai Fjords National Park and eastern, northern, and western Prince William Sound. There are five sites in each of those areas. The time interval includes 2006-2015. As the temperature logging protocol was developed different monitoring intervals were used. Most temperature loggers were set to record hourly, although intervals of 20 and 30 minutes were also used. Since each file is comprised of data downloaded from different loggers, the interval can vary within an individual file.
Sea ice loss represents a stressor to the Pacific walrus (Odobenus rosmarus divergens), which feeds on benthic macroinvertebrates in the Bering and Chukchi seas. However, no studies have examined the effects of sea ice on foraging walrus space use patterns. Thus, we examined walrus foraging resource selection as a function of proximity to resting substrates and prey biomass with a matched use-availability design. We quantified biomass of 17 benthic taxa, which included amphipods, bivalves, polychaete, sand dollars, tunicates, and sipunculids. We included covariates for distance to sea ice and distance to land, and systematically developed a series of candidate models to examine interactions among benthic prey biomass and resting substrates. We ranked candidate models with Bayesian Information Criterion and made inferences on walrus resource selection based on the top-ranked model. Biomass of the bivalve family Tellinidae, distance to ice, distance to land, and the interaction of distances to ice and land were in the top-ranked model. Standardized model coefficients indicated that distance to ice explained the most variation in walrus foraging resource selection patterns followed by Tellinidae biomass. Distance to land and the interaction of distances to ice and land accounted for similar levels of variation in foraging walrus resource selection. These data represent the used and available resource units with the covariates of distance to land and distance to ice.
Policies and Notices
U.S. Department of the Interior |
U.S. Geological Survey
Page Contact Information: firstname.lastname@example.org
Page Last Modified: June 22 2016 09:26:57.