Multiple configurations and fluctuating trophic control in the Barents Sea food-web

PLoS One. 2021 Jul 9;16(7):e0254015. doi: 10.1371/journal.pone.0254015. eCollection 2021.

Abstract

The Barents Sea is a subarctic shelf sea which has experienced major changes during the past decades. From ecological time-series, three different food-web configurations, reflecting successive shifts of dominance of pelagic fish, demersal fish, and zooplankton, as well as varying trophic control have been identified in the last decades. This covers a relatively short time-period as available ecological time-series are often relatively short. As we lack information for prior time-periods, we use a chance and necessity model to investigate if there are other possible configurations of the Barents Sea food-web than those observed in the ecological time-series, and if this food-web is characterized by a persistent trophic control. We perform food-web simulations using the Non-Deterministic Network Dynamic model (NDND) for the Barents Sea, identify food-web configurations and compare those to historical reconstructions of food-web dynamics. Biomass configurations fall into four major types and three trophic pathways. Reconstructed data match one of the major biomass configurations but is characterized by a different trophic pathway than most of the simulated configurations. The simulated biomass displays fluctuations between bottom-up and top-down trophic control over time rather than persistent trophic control. Our results show that the configurations we have reconstructed are strongly overlapping with our simulated configurations, though they represent only a subset of the possible configurations of the Barents Sea food-web.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Arctic Regions
  • Biomass
  • Birds / physiology
  • Computer Simulation
  • Fishes / physiology
  • Food Chain*
  • Herbivory / physiology
  • Mammals / physiology
  • Models, Theoretical
  • Oceans and Seas
  • Principal Component Analysis
  • Time Factors
  • Zooplankton / physiology

Grants and funding

This work was supported by the Norwegian Research Council project 276730 The Nansen Legacy. The Norwegian Research Council had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.