Evidence for the Dominance of Indirect Effects in 50 Trophically-Based Ecosystem Networks
Andria K. Salas, Stuart R. Borrett

TL;DR
This study demonstrates that indirect effects overwhelmingly dominate direct effects in trophic ecosystem networks, with robustness confirmed through uncertainty analysis and highlighting the microbial food web's mediating role.
Contribution
It provides empirical evidence that indirect flows are the primary drivers in ecosystem networks, emphasizing the significance of the microbial food web and network cycling.
Findings
Indirect flows dominate in 74% of models.
Dominance increases to 88.5% in models with cycling and microbial web.
Results are robust to data uncertainty.
Abstract
Indirect effects are powerful influences in ecosystems that may maintain species diversity and alter apparent relationships between species in surprising ways. Here, we applied Network Environ Analysis to 50 empirically-based trophic ecosystem models to test the hypothesis that indirect flows dominate direct flows in ecosystem networks. Further, we used Monte Carlo based perturbations to investigate the robustness of these results to potential error in the underlying data. To explain our findings, we further investigated the importance of the microbial food web in recycling energy-matter using components of the Finn Cycling Index and analysis of Environ Centrality. We found that indirect flows dominate direct flows in 37/50 (74.0%) models. This increases to 31/35 (88.5%) models when we consider only models that have cycling structure and a representation of the microbial food web. The…
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