Partitioning Detectability Components in Populations Subject to Within-Season Temporary Emigration Using Binomial Mixture Models

• Published in: PloS one Vol. 10; no. 3; p. e0117216
• Main Authors: O’Donnell, Katherine M., Thompson, Frank R., Semlitsch, Raymond D.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16.03.2015; Public Library of Science (PLoS)
• Subjects: Abundance; Amphibia; Amphibians; Analysis; Animal Migration; Animal models; Animals; Availability; Case studies; Counting; Ecology; Emigration; Emigration and immigration; Estimates; Forests; Mathematical models; Models, Statistical; Object recognition; Parameter estimation; Plethodon serratus; Polls & surveys; Population; Population (statistical); Population statistics; Probability; Rainfall; Reliability aspects; Reptiles & amphibians; Sampling; Seasons; Statistical analysis; Statistical models; Studies; Surface activity; Terrestrial environments; Time Factors; Trends; Urodela; Washington DC; United States > US; Missouri

Detectability of individual animals is highly variable and nearly always < 1; imperfect detection must be accounted for to reliably estimate population sizes and trends. Hierarchical models can simultaneously estimate abundance and effective detection probability, but there are several different...