NEW THIS YEAR! The schedule of technical sessions is in Sched.org which allows you to search within the schedule, filter the schedule to show sessions only occurring on a certain date, within a track, or in a room. You can also build your own schedule by creating a free account in Sched.org. Click here to return to the main Midwest Fish & Wildlife Conference website. 

PLEASE NOTE: The schedule posted here is as of 1/25/16, and is subject to change. Please check back for updates.
Back To Schedule
Monday, January 25 • 3:00pm - 3:20pm
Evaluation of Sample Design and Estimation Methods for Great Lakes Angler Surveys

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

AUTHORS: Zhenming Su*, Michigan Department of Natural Resources and University of Michigan

ABSTRACT: Great Lakes waters support outstanding recreational fishing opportunities. Total catch and effort estimates obtained from on-site angler surveys are essential for the management of recreational fisheries. However, quality of angler survey estimates can be greatly affected by survey design and estimation approaches used. Using Monte Carlo simulation techniques, we evaluated the effects of two potential sources of bias (i.e., disproportional sampling of angler trips and subsampling of the fishing day) on two stratum catch estimators: a multiple-day estimator that ignores day effects and pools the angler trip data over a multiple-day period, and a daily estimator that treats the trip data in each day separately. When catch rates are constant among different time periods of the fishing day, the daily estimator produces total catch estimates with little bias; whereas the multiple-day estimator is prone to bias caused by disproportional sampling of angler trips. When catch rates vary among different periods of a fishing day, the daily estimator produces biased estimates of total catch when the fishing day is subsampled; whereas the multiple-day estimator is less affected by the variation in daily time-period catch rates and subsampling of fishing days. The quality of total catch and effort estimates (i.e., root mean squared error and coverage probability of confidence intervals) is poor when the number of days sampled each month is low and fishing days are subsampled.

Monday January 25, 2016 3:00pm - 3:20pm EST
Gerald Ford