Species's traits and network topology drive the robustness of a marine
food web to species removal
Abstract
The analysis of the dynamics of interaction networks (i.e. trophic webs)
better capture the state of ecosystem facing a perturbation than
individual species dynamics could. We propose a framework that examines
network robustness to a given perturbation at the local (species),
mesoscale (species directly linked together) and global (network) level,
based on traits and the topology of the network. Using the Celtic Sea as
an example, we showed that the network was the least robust to the
simulated loss of forage taxa and the most exposed taxa to fishing
pressure, indicating conservation priority could be focused on these
taxa. However estimating the sensitivity to fishing at the taxa ‘level
was insufficient to predict the robustness of the network. The network
appeared relatively robust to the simulated loss of the most central
taxa, suggesting that mesoscale metrics such as centrality, although
widely used, are not always adapted to prioritize species conservation.