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Effects of sampling strategy, detection probability, and independence of counts on the use of point counts

PDF on file: 4817_Pendleton.pdf
By:
Edited by:
C. John Ralph, John R. Sauer, Sam Droege

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Abstract

Many factors affect the use of point counts for monitoring bird populations, including sampling strategies, variation in detection rates, and independence of sample points. The most commonly used sampling plans are stratified sampling, cluster sampling, and systematic sampling. Each of these might be most useful for different objectives or field situations. Variation in detection probabilities and lack of independence among sample points can bias estimates and measures of precision. All of these factors should be con-sidered when using point count methods.

Additional Publication Details

Publication type:
Book chapter
Publication Subtype:
Book Chapter
Title:
Effects of sampling strategy, detection probability, and independence of counts on the use of point counts
Year Published:
1995
Language:
English
Publisher:
U.S. Forest Service, Pacific Southwest Forest Experiment Station.
Contributing office(s):
Patuxent Wildlife Research Center
Description:
iv, 181
Larger Work Type:
Book
Larger Work Subtype:
Other Government Series
Larger Work Title:
Monitoring bird populations by point counts
First page:
131
Last page:
133