Table of Contents
ISRN Ecology
Volume 2012, Article ID 815016, 7 pages
http://dx.doi.org/10.5402/2012/815016
Research Article

Models for Population Growth Curves

12528 West Klamath, Kennewick, WA 99336, USA
2National Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA Fisheries Service, 7600 Sand Point Way NE, Seattle, WA 98115, USA

Received 18 October 2011; Accepted 20 November 2011

Academic Editor: G. Wang

Copyright © 2012 L. L. Eberhardt and J. M. Breiwick. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We examined models for population growth curves, contrasting integrated versions with various other forms. A sizable number of data sets for birds and mammals were considered, but the main comparisons were based on 27 data sets that could be fit to the generalized logistic curve. Akaike's information criterion was used to rank fits of those data sets to 5 integrated models. We found that the integrated models gave the best fits to the data examined. The difference equations examined gave much poorer fits as judged by AICc and coefficients of variation. We conclude that the integrated models should be used when possible.