Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.

The intrinsic population growth rate (r) of the surplus production function used in the biomass dynamic model and the steepness (h) of the stock-recruitment relationship used in age-structured population dynamics models are two key parameters in fish stock assessment. There is generally insufficient...

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Main Authors: Maximilien Simon, Jean-Marc Fromentin, Sylvain Bonhommeau, Daniel Gaertner, Jon Brodziak, Marie-Pierre Etienne
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3485314?pdf=render
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author Maximilien Simon
Jean-Marc Fromentin
Sylvain Bonhommeau
Daniel Gaertner
Jon Brodziak
Marie-Pierre Etienne
author_facet Maximilien Simon
Jean-Marc Fromentin
Sylvain Bonhommeau
Daniel Gaertner
Jon Brodziak
Marie-Pierre Etienne
author_sort Maximilien Simon
collection DOAJ
description The intrinsic population growth rate (r) of the surplus production function used in the biomass dynamic model and the steepness (h) of the stock-recruitment relationship used in age-structured population dynamics models are two key parameters in fish stock assessment. There is generally insufficient information in the data to estimate these parameters that thus have to be constrained. We developed methods to directly estimate the probability distributions of r and h for the Atlantic bluefin tuna (Thunnus thynnus, Scombridae), using all available biological and ecological information. We examined the existing literature to define appropriate probability distributions of key life history parameters associated with intrinsic growth rate and steepness, paying particular attention to the natural mortality for early life history stages. The estimated probability distribution of the population intrinsic growth rate was weakly informative, with an estimated mean r = 0.77 (±0.53) and an interquartile range of (0.34, 1.12). The estimated distribution of h was more informative, but also strongly asymmetric with an estimated mean h = 0.89 (±0.20) and a median of 0.99. We note that these two key demographic parameters strongly depend on the distribution of early life history mortality rate (M(0)), which is known to exhibit high year-to-year variations. This variability results in a widely spread distribution of M(0) that affects the distribution of the intrinsic population growth rate and further makes the spawning stock biomass an inadequate proxy to predict recruitment levels.
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spelling doaj.art-c967d4c8f513400382f1250f9cf6b63b2022-12-22T03:15:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01710e4858310.1371/journal.pone.0048583Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.Maximilien SimonJean-Marc FromentinSylvain BonhommeauDaniel GaertnerJon BrodziakMarie-Pierre EtienneThe intrinsic population growth rate (r) of the surplus production function used in the biomass dynamic model and the steepness (h) of the stock-recruitment relationship used in age-structured population dynamics models are two key parameters in fish stock assessment. There is generally insufficient information in the data to estimate these parameters that thus have to be constrained. We developed methods to directly estimate the probability distributions of r and h for the Atlantic bluefin tuna (Thunnus thynnus, Scombridae), using all available biological and ecological information. We examined the existing literature to define appropriate probability distributions of key life history parameters associated with intrinsic growth rate and steepness, paying particular attention to the natural mortality for early life history stages. The estimated probability distribution of the population intrinsic growth rate was weakly informative, with an estimated mean r = 0.77 (±0.53) and an interquartile range of (0.34, 1.12). The estimated distribution of h was more informative, but also strongly asymmetric with an estimated mean h = 0.89 (±0.20) and a median of 0.99. We note that these two key demographic parameters strongly depend on the distribution of early life history mortality rate (M(0)), which is known to exhibit high year-to-year variations. This variability results in a widely spread distribution of M(0) that affects the distribution of the intrinsic population growth rate and further makes the spawning stock biomass an inadequate proxy to predict recruitment levels.http://europepmc.org/articles/PMC3485314?pdf=render
spellingShingle Maximilien Simon
Jean-Marc Fromentin
Sylvain Bonhommeau
Daniel Gaertner
Jon Brodziak
Marie-Pierre Etienne
Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.
PLoS ONE
title Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.
title_full Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.
title_fullStr Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.
title_full_unstemmed Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.
title_short Effects of stochasticity in early life history on steepness and population growth rate estimates: an illustration on Atlantic bluefin tuna.
title_sort effects of stochasticity in early life history on steepness and population growth rate estimates an illustration on atlantic bluefin tuna
url http://europepmc.org/articles/PMC3485314?pdf=render
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