The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
356
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Statistics and the Environment
|
Abstract - #302828 |
Title:
|
Modeling Animal Abundance and Detection with a Hierarchical Catch-Effort Model
|
Author(s):
|
Katherine St. Clair*+ and John Giudice and Eric Dunton
|
Companies:
|
Carleton College and Minnesota Department of Natural Resources and Shiawassee National Wildlife Refuge
|
Address:
|
1 North College St., Northfield, MN, 55057, USA
|
Keywords:
|
abundance estimation ;
removal sampling ;
harvest model ;
catch-effort ;
Bayesian analysis ;
hierarchical models
|
Abstract:
|
A hierarchical modeling framework can produce estimates of animal abundance and detection from replicated removal counts taken at different locations in a region of interest. A common method of specifying variation in detection probabilities across locations or replicates is with a logistic model that incorporates relevant detection covariates. As an alternative to this logistic model, we propose using a catch-effort model to account for heterogeneity in detection when a measure of removal effort is available for each removal count. We model the probability of detection as a nonlinear function of the removal effort and a catchability parameter that can vary spatially and temporally. Simulation results demonstrate that Bayes estimates from our model are effective estimates of abundance and catchability. We also found that our catch-effort model fits better than logistic models when estimating wild turkey abundance using harvest and hunter counts collected by the Minnesota Department of Natural Resources.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.