JSM 2005 Online Program

Abstract #302498

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	424
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistics and the Environment
Abstract - #302498
Title:	Hierarchical Spatial Modeling of Avian Abundance and Occurrence from Spatially Replicated Survey Data
Author(s):	Andy Royle*+ and Marc Kery
Companies:	U.S. Geological Survey and Swiss Ornithological Institute
Address:	12100 Beech Forest Road, Laurel , MD, 20707, United States
Keywords:	animal abundance ; animal occurrence ; spatial models ; ecology ; hierarchical models
Abstract:	Understanding spatial variation in abundance and occurrence are fundamental to many studies of animal populations. An important problem in animal sampling is that of detection bias. That is, all animals in the population being sampled may not be detected in the sample, and detectability may depend on factors that vary through time and among sample units. Many sampling procedures, including capture-recapture and distance sampling, have been devised that enable explicit consideration of detectability. These sampling protocols yield multinomial data with unknown index N(s), the local abundance at sampling location s. In this paper, we develop spatial models of abundance and occurrence for spatially replicated multinomial data obtained from various sampling protocols. The effort is motivated by the Swiss Survey of Common Breeding Birds, which generates multinomial sampling data from a large number of 1 km quadrats throughout Switzerland. The multinomial sampling model is augmented with a spatial model on the collection of local abundance parameters that links local abundance (at the level of a quadrat) to landscape covariates.

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