Effects of Sampling Strategy, Detection Probability, and Independence of Counts on the Use of Point Counts

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 considered when using point count methods.

Parent Publication

• Monitoring bird populations by point counts

Citation

Pendleton, Grey W. 1995. Effects of Sampling Strategy, Detection Probability, and Independence of Counts on the Use of Point Counts. In: Ralph, C. John; Sauer, John R.; Droege, Sam, technical editors. 1995. Monitoring bird populations by point counts. Gen. Tech. Rep. PSW-GTR-149. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: p. 131-134