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Marine Ecology Progress Series

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MEPS 435:155-172 (2011)  -  DOI: https://doi.org/10.3354/meps09224

Growth in the brown shrimp Crangon crangon. II. Meta-analysis and modelling

Marc Hufnagl*, Axel Temming

Institute for Hydrobiology and Fishery Science, Olbersweg 24, 22767 Hamburg, Germany

ABSTRACT: Existing laboratory and field data on growth were combined, reanalyzed and discussed to generate a holistic temperature-, length- and gender-dependent growth rate (G, mm d–1) model for North Sea region brown shrimp Crangon crangon (L.). Length (L, mm) and temperature (T, °C) dependent growth rates of Crangon crangon are highly variable within and among studies but decrease with L and increase with T. Applying general nonlinear regression, mean growth was derived as G = 0.02421·T – 0.00115·e0.08492·T·L (r² = 0.860). Applying quantile regression (75th percentile), a growth model describing growth of the fastest growing fraction of the population was derived as Gmax = 0.03054·T – 0.00104·e0.09984·T·L (r² = 0.857). Female growth rates were higher than male growth rates and were similar to Gmax. In a simulation, G and Gmax were used with seasonally varying temperature to generate monthly length trajectories (cohorts). Further, length-based mortality was included and the fraction of each cohort attaining minimal commercial size was calculated. May cohorts (5 mm initial length), representing spring recruitment, grew to 50 mm by November if G was used. Application of the fast growth model (Gmax) allowed for the same length to be reached 2 mo earlier. We conclude that the autumnal peak in adult abundance in the North Sea is most probably due to recruitment from the spring cohort of the same year. Our results suggest that the previous year’s summer cohort contributes little to this autumnal peak because of high cumulative and overwintering mortality.


KEY WORDS: Growth rates · Life cycle · Recruitment · Commercial fishing · Size-at-age · Moult


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Cite this article as: Hufnagl M, Temming A (2011) Growth in the brown shrimp Crangon crangon. II. Meta-analysis and modelling. Mar Ecol Prog Ser 435:155-172. https://doi.org/10.3354/meps09224

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