title: Estimating asymptotic size using the largest individuals per sample.
abstract: Estimates of asymptotic size are especially useful for comparative studies of taxonomic groups in which animals mature at small sizes relative to their final asymptotic sizes. The largest individuals per sample can provide reasonable estimates of asymptotic size if three conditions are met: 1) at least some adults in a population are near their final asymptotic size, 2) samples of a reasonable size are likely to contain a 'largest individual' that is near the average asymptotic size for the members of its sex, and 3) the coefficient of variation in asymptotic size is small for the members of each sex. In the current study, we show that all three of these conditions are met for one species of Anolis lizards (A. limifrons). For a series of samples from the genus Anolis, the largest individual per sample produces estimates of asymptotic size that are virtually identical to those produced by fitting field data on growth rates to nonlinear growth equations. These results suggest that the largest individual method can provide reasonable estimates of asymptotic size for the members of this genus, and imply that this method may also be useful for estimating asymptotic sizes in other taxa that satisfy the criteria listed above.
authors.affiliation: Department of Zoology, University of California Davis, 95616, Davis, CA, USA.
authors.forename: J A
authors.initials: JA
authors.lastname: Stamps
authors.affiliation: Department of Biology, Virginia Polytechnic Institute and State University, 24061, Blacksburg, VA, USA.
authors.forename: R M
authors.initials: RM
authors.lastname: Andrews
keywords: Anolis; Asymptotic size; Growth; Largest individual; Lizard