Journal article
A new proportionality-based back-calculation approach, which employs traditional forms of growth equations, improves estimates of length at age
Canadian Journal of Fisheries and Aquatic Sciences, Vol.74(7), pp.1088-1099
2017
Abstract
The performance of a new proportionality-based back-calculation approach, describing the relationship among length, otolith size, and age using traditional growth curves and assuming a bivariate distribution of deviations from those curves, was evaluated. Cross-validation was used for six teleost species to compare predictions of expected lengths or otolith sizes at age, given otolith size or length, respectively, with those of other proportionality-based approaches that incorporate age. For four species, and particularly Acanthopagrus butcheri when using a biological intercept, better estimates were produced using the new model than were produced using the regression equations in the other back-calculation approaches. Back-calculated lengths for A. butcheri estimated using this model were more consistent with observed lengths, particularly when employing a biological intercept, than those obtained using other proportionality-based approaches and also a constraint-based approach known to produce reliable estimates. By selecting somatic and otolith growth curves from a suite of alternatives to better describe the relationships among length, otolith size, and age, the new approach is likely to produce more reliable estimates of back-calculated length for other species.
Details
- Title
- A new proportionality-based back-calculation approach, which employs traditional forms of growth equations, improves estimates of length at age
- Authors/Creators
- E.C. Ashworth (Author/Creator)S.A. Hesp (Author/Creator)N.G. Hall (Author/Creator)
- Publication Details
- Canadian Journal of Fisheries and Aquatic Sciences, Vol.74(7), pp.1088-1099
- Publisher
- National Research Council of Canada
- Identifiers
- 991005540491907891
- Copyright
- © 2017 Canadian Science Publishing. All rights reserved.
- Murdoch Affiliation
- School of Veterinary and Life Sciences; Centre for Fish and Fisheries Research
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
34 File views/ downloads
75 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.2 Marine Biology
- 3.2.92 Fisheries Ecology
- Web Of Science research areas
- Fisheries
- Marine & Freshwater Biology
- ESI research areas
- Plant & Animal Science