Making the most of survey data: Incorporating age uncertainty when fitting growth parameters.

ABSTRACT: Individual growth is an important parameter and is linked to a number of other biological processes. It is commonly modeled using the von Bertalanffy growth function (VBGF), which is regularly fitted to age data where the ages of the animals are not known exactly but are binned into yearly age groups, such as fish survey data. Current methods of fitting the VBGF to these data treat all the binned ages as the actual ages. We present a new VBGF model that combines data from multiple surveys and allows the actual age of an animal to be inferred. By fitting to survey data for Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua), we compare our model with two other ways of combining data from multiple surveys but where the ages are as reported in the survey data. We

SUBMITTER: Spence MA 

PROVIDER: S-EPMC5587502 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature