Development and testing of mechanistic fitness-based models to predict habitat choice, behavior, and recruitment of juvenile Chinook salmon in the Arctic-Yukon-Kuskokwim region, 2015-2017

• Main Authors: Gary Grossman, Bryan Bozeman
• Format: Dataset
• Language: unknown
• Published: Research Workspace 2014
• Subjects: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA; Salvelinus malma; Dolly Varden; Thymallus arcticus; Arctic grayling, ombre arctique; Oncorhynchus tshawytscha; Chinook salmon, king salmon, saumon chinook, salmón boquinegra; 2015 thru 2017; Summer; Chinook habitat; predator-prey interactions; foraging model; foraging behaviour; North Pacific Research Board; Arctic Grayling; Chinook salmon; carrying capacity; density dependence; drift-feeding; stream discharge; Arctic; Pacific; Varden; Yukon; Arctic grayling; Arctique*; Kuskokwim; Alaska
• Online Access: https://search.dataone.org/view/10.24431_rw1k46c_20201030T213655Z

These data comprise the laboratory experiments on Arctic Grayling (Thymallus arcticus) and Dolly Varden charr (Salvelinus malma) as part of the larger Drift Model Project fish foraging and behavior study conducted by the Grossman Lab at the University of Georgia. Specifically, these data describe the results of many single- and multi-fish foraging experiments conducted on Arctic Grayling and Dolly Varden charr experimental specimens in an artificial stream flume in Athens, Georgia. The dataset consists of four Microsoft excel workbooks, two for single-fish experiments and two for multi-fish experiments (i.e., one workbook per species per experiment type). The data consists of: 1) individual markers for experimental specimens (or pairs in multi-fish experiments), 2) batch (i.e., experimental specimen groups), 3) predictor variable values (i.e., treatment velocities, fish sizes, days in captivity, and size rank and dominance [for multi-fish experiments]), 4) response variable values (i.e., prey capture success percentages, holding velocities, and reactive distances), and 5) other values of potential interest but not included in analyses (i.e., capture velocity, raw prey capture numbers, and variable measurements in alternate units). Fish used in all experiments were captured via hook and line between fall of 2015 and fall of 2016 from Panguingue Creek in Interior Alaska and immediately shipped to the University of Georgia upon capture. We subjected experimental specimens to a series of increasing water velocity treatment trials in an experimental stream flume to determine how prey capture success, holding velocity, and reactive distance were affected by treatment velocity, fish size, and days kept in captivity with additional categorical predictor variables of size rank (i.e., larger or smaller) and dominance (based on holding position within experimental stream flume) for multi-fish experiments. Treatment velocity and holding velocity measurements were made immediately prior to and following treatment velocity trials with a handheld electronic velocity meter. We made prey capture success measurements in real time immediately following each treatment velocity trial by recording the number of prey captured per fixed number of prey releases. Finally, reactive distance and capture velocity measurements were made after experiments had been completed via trial video analysis using the VidSync (www.vidsync.org) computer software. Dolly Varden charr and Arctic Grayling are economically and ecologically important species in Interior Alaska and understanding how these species utilize and select microhabitats has important implications for their management and overall stream fish-habitat relationship scholarship and conservation. Data are presented as two CSV files: Grayling_Dominance_Experiment_Data.csv Dolly_Dominance_Experiment_Data.csv