Population variability under stressors is dependent on body mass growth and asymptotic body size

Leonie Färber*, Rob van Gemert, Øystein Langangen, Joël M Durant*, Ken Haste Andersen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

124 Downloads (Pure)

Abstract

The recruitment and biomass of a fish stock are influenced by their environmental conditions and anthropogenic pressures such as fishing. The variability in the environment often translates into fluctuations in recruitment, which then propagate throughout the stock biomass. In order to manage fish stocks sustainably, it is necessary to understand their dynamics. Here, we systematically explore the dynamics and sensitivity of fish stock recruitment and biomass to environmental noise. Using an age-structured and trait-based model, we explore random noise (white noise) and autocorrelated noise (red noise) in combination with low to high levels of harvesting. We determine the vital rates of stocks covering a wide range of possible body mass (size) growth rates and asymptotic size parameter combinations. Our study indicates that the variability of stock recruitment and biomass are likely correlated with the stock’s asymptotic size and growth rate. We find that fast-growing and large-sized fish stocks are likely to be less vulnerable to disturbances than slow-growing and small-sized fish stocks. We show how the natural variability in fish stocks is amplified by fishing, not just for one stock but for a broad range of fish life histories.
Original languageEnglish
Article number192011
JournalRoyal Society Open Science
Volume7
Issue number2
ISSN2054-5703
DOIs
Publication statusPublished - 2020

Keywords

  • Variability
  • Stock-recruitment relationship
  • Density-dependence
  • Densityindependenc
  • Environmental noise
  • Fishing

Fingerprint

Dive into the research topics of 'Population variability under stressors is dependent on body mass growth and asymptotic body size'. Together they form a unique fingerprint.

Cite this