Spatial food webs in the Barents Sea: atlantification and the reorganization of the trophic structure

• Published in: Philosophical Transactions of the Royal Society B: Biological Sciences
• Main Authors: Jordán, Ferenc, Capelli, Greta, Primicerio, Raul, Hidas, András, Fábián, Virág, Patonai, Katalin, Bodini, Antonio
• Other Authors: Hidas, Andrá
• Format: Article in Journal/Newspaper
• Language: English
• Published: Royal Society publishing 2024
• Subjects: atlantification; community control; interaction asymmetry; loop analysi; regular equivalence; wasp-waist; Barents Sea
• Online Access: https://hdl.handle.net/11381/2990835; https://doi.org/10.1098/rstb.2023.0164; https://royalsocietypublishing.org/doi/10.1098/rstb.2023.0164

: Climate change affects ecosystems at several levels: by altering the spatial distribution of individual species, by locally rewiring interspecific interactions, and by reorganizing trophic networks at larger scales. The dynamics of marine food webs are becoming more and more sensitive to spatial processes and connections in the seascape. As a case study, we study the atlantification of the Barents Sea: we compare spatio-temporal subsystems at three levels: the identity of key organisms, critically important interactions and the entire food web. Network analysis offers quantitative measurements, including centrality indices, trophic similarity indices, a topological measure of interaction asymmetry and network-level measures. We found that atlantification alters the identity of key species (boreal demersals becoming hubs), results in strongly asymmetric interactions (dominated by haddock), changes the dominant regulation regime (from bottom-up to wasp-waist control) and makes the food web less modular. Since the results of food web analysis may be quite sensitive to network construction, the aggregation of food web data was explicitly studied to increase the robustness of food web analysis. We found that an alternative, mathematical aggregation algorithm better preserves some network properties (e.g. density) of the original, unaggregated network than the biologically inspired aggregation into functional groups. This article is part of the theme issue 'Connected interactions: enriching food web research by spatial and social interactions'.