Measuring growth patterns in the field: effects of sampling regime and methods on standardized estimates

J. G. A. Martin, F. Pelletier

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Although mixed effects models are widely used in ecology and evolution, their application to standardized traits that change within season or across ontogeny remains limited. Mixed models offer a robust way to standardize individual quantitative traits to a common condition such as body mass at a certain point in time (within a year or across ontogeny), or parturition date for a given climatic condition. Currently, however, most researchers use simple linear models to accomplish this task. We use both empirical and simulated data to underline the application of mixed models for standardizing trait values to a common environment for each individual. We show that mixed model standardizations provide more accurate estimates of mass parameters than linear models for all sampling regimes and especially for individuals with few repeated measures. Our simulations and analyses on empirical data both confirm that mixed models provide a better way to standardize trait values for individuals with repeated measurements compared with classical least squares regression. Linear regression should therefore be avoided to adjust or standardize individual measurements
Original languageEnglish
Pages (from-to)529-537
Number of pages9
JournalCanadian Journal Of Zoology/Revue Canadien De Zoologie
Volume89
Issue number6
Early online date26 May 2011
DOIs
Publication statusPublished - Jun 2011

Fingerprint Dive into the research topics of 'Measuring growth patterns in the field: effects of sampling regime and methods on standardized estimates'. Together they form a unique fingerprint.

Cite this