Environmental effects on sprat (Sprattus sprattus) physiology and growth at the distribution frontier: A bioenergetic modelling approach

Christina Frisk, Ken Haste Andersen, A. Temming, J.P. Herrmann, Kathrine Skak Madsen, Gerd Kraus

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Sprat, Sprattus sprattus, is a small pelagic fish species with a wide distribution along the European continental shelf, the Mediterranean Sea, the Black Sea and the Baltic Sea. The Baltic Sea is the coldest area of the species distribution range. Even here, sprat is still numerous and holds a key role in the ecosystem. However, the population is sensitive to small changes in environmental conditions. In this paper, we set up a bioenergetic model of Baltic sprat and evaluate how variability and seasonal changes in the physical environment affects the physiology and growth of individual sprat. The model is dynamic and seasonally resolved. It is parameterised based on sprat from the Bornholm Basin. Our model results suggest that the optimal temperature for sprat growth is 17.5. °C, which is only observed in the Central Baltic Sea in the top water layer during a short period in summer. During 41/2 winter months individual sprat do not grow and utilize stored energy from the previous growth season. We analysed the maximum attainable individual body size as a function of temperature. The model predicted reduced maximum body sizes with increasing temperature. The model can be used for studying climate change scenarios on individual growth, egg production and condition of Baltic sprat.
Original languageEnglish
JournalEcological Modelling
Volume299
Pages (from-to)130-139
ISSN0304-3800
DOIs
Publication statusPublished - 2015

Keywords

  • Bioenergetic model
  • Egg production
  • Physiology
  • Seasonal growth dynamics
  • Sensitivity
  • Anthropometry
  • Climate change
  • Population distribution
  • Climate change scenarios
  • Environmental conditions
  • Increasing temperatures
  • Seasonal growth
  • Species distributions
  • Climate models

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