Open AccessAnalysis of seasonal growth through the application of a multiple linear regression model on data from tag-and-recapture experiments
Author(s) -
C. Stamatopoulos,
John F. Caddy
Publication year - 2010
Publication title -
mediterranean marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.734
H-Index - 38
eISSN - 1791-6763
pISSN - 1108-393X
DOI - 10.12681/mms.97
Subject(s) - seasonality , mark and recapture , statistics , variation (astronomy) , linear regression , econometrics , environmental science , mathematics , computer science , demography , physics , population , sociology , astrophysics
When the Brody coefficient K is subject to temporal variation, data from tag-and-recapture experiments permit analysis of seasonal growth. Temporal values for K can be estimated without using a pre-determined oscillating function and the impact of seasonality on annual growth can be analyzed more realistically. The method is applicable to intra-annual intervals of single or multiple cohorts.