eCite Digital Repository

Using an integral projection model to assess the effect of temperature on the growth of gilthead seabream Sparus aurata


Heather, FJ and Childs, DZ and Darnaude, AM and Blanchard, JL, Using an integral projection model to assess the effect of temperature on the growth of gilthead seabream Sparus aurata, PLoS ONE, 13, (5) Article e0196092. ISSN 1932-6203 (2018) [Refereed Article]


Copyright Statement

Copyright 2018 Heather et al. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1371/journal.pone.0196092


Accurate information on the growth rates of fish is crucial for fisheries stock assessment and management. Empirical life history parameters (von Bertalanffy growth) are widely fitted to cross-sectional size-at-age data sampled from fish populations. This method often assumes that environmental factors affecting growth remain constant over time. The current study utilized longitudinal life history information contained in otoliths from 412 juveniles and adults of gilthead seabream, Sparus aurata, a commercially important species fished and farmed throughout the Mediterranean. Historical annual growth rates over 11 consecutive years (20022012) in the Gulf of Lions (NW Mediterranean) were reconstructed to investigate the effect of temperature variations on the annual growth of this fish. S. aurata growth was modelled linearly as the relationship between otolith size at year t against otolith size at the previous year t-1. The effect of temperature on growth was modelled with linear mixed effects models and a simplified linear model to be implemented in a cohort Integral Projection Model (cIPM). The cIPM was used to project S. aurata growth, year to year, under different temperature scenarios. Our results determined current increasing summer temperatures to have a negative effect on S. aurata annual growth in the Gulf of Lions. They suggest that global warming already has and will further have a significant impact on S. aurata size-at-age, with important implications for age-structured stock assessments and reference points used in fisheries.

Item Details

Item Type:Refereed Article
Keywords:size, modelling, fish, climate change
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Marine and estuarine ecology (incl. marine ichthyology)
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Marine biodiversity
UTAS Author:Blanchard, JL (Professor Julia Blanchard)
ID Code:130975
Year Published:2018
Funding Support:Australian Research Council (DP170104240)
Web of Science® Times Cited:9
Deposited By:Ecology and Biodiversity
Deposited On:2019-02-25
Last Modified:2019-03-05
Downloads:86 View Download Statistics

Repository Staff Only: item control page