Document Type

Article

Publication Version

Published Version

Publication Date

1996

Journal or Book Title

Transactions of the American Fisheries Society

Volume

125

Issue

6

First Page

889

Last Page

898

DOI

10.1577/1548-8659(1996)125<0889:BCOFLF>2.3.CO;2

Abstract

We compared three proportional back-calculation methods for scales using data sets for pumpkinseeds Lepomis gibbosus and golden shiners Notemigonus crysoleucas from 10 southern Quebec lakes, and we validated back-calculations by comparing them with observed lengths at lime of annulus formation. Ordinary least-squares regression (OR) was compared with geometric mean regression (GMR) for describing body-scale relationships. Although minor differences were detected in body-scale regressions among lakes, pooling data across lakes yielded linear bodyscale relationships with very high r2. Differences between OR and GMR body-scale relationships were negligible in both species. Likewise, all back-calculation methods produced equivalent results. Back-calculated lengths generally corresponded well with observed lengths in all pumpkinseeds age-classes and in golden shiners older than 1 year. Observed lengths were often greater than back-calculated lengths for age-1 golden shiners. Our results, indicating little or no difference among methods, contradict recent reviews claiming substantial disagreement among methods. Tighter body-scale relationships in our data sets than in previous studies appear to explain this contradiction. We suggest that light body-scale relationships are attainable for many species, obviating concern over which proportional back-calculation method is chosen.

Comments

This article is from Transactions of the American Fisheries Society 125 (1996): 889, doi:10.1577/1548-8659(1996)125<0889:BCOFLF>2.3.CO;2.

Rights

Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.

Language

en

Date Available

2015-06-17

File Format

application/pdf