Decoding information in multilayer ecological networks: The keystone species case

The construction of a network capturing the topological structure linked to interactions among species and analysis its properties constitutes clarifying way understand functioning an ecosystem at different scales analysis. Here, we present novel systematic procedure profit from enhanced information derived considering multiple levels apply it analyse presence keystone species. proposed method presents unveil stored in by comparing some randomised modification itself. randomising original is done swapping controlled number links while preserving degree nodes. Then, compare modularity value with counterparts, which gives us measure amount relevant first one. Once have verified that meaningful, use perform community characterisation other order identify We applied this pollinator–plant–herbivore trophic as case study found (a) comparison between networks suitable tool detect information; (b) identifying yields results bipartite ones obtained more than two levels. also analysed effect eliminating selected system on cohesion network. selection these was made according centralities values, such betweenness, corresponding Our findings show our analysis, mainly based reliable characterise ecological networks. Additionally, argue since betweenness are not always correlated, both attempt methodology here can be currently available literature. • Degree correlated. utility for revealed.