Plant-Pollinator Network Data from Experimental Species Removal

An experimental manipulation sequentially removed four generalist plants from real plant-pollinator networks. The study recorded effects on species and interaction extinctions, network structure, and interaction rewiring. Data was collected by Paolo Biella from the University of Milano-Bicocca.

Use Cases

• Modeling species co-extinction cascades based on sequential removal of key plant species.
• Analyzing changes in network metrics like nestedness and modularity following experimental perturbations.
• Studying interaction rewiring and the emergence of opportunistic random interactions in destabilized networks.

Strengths

• Data originates from a real-world experimental manipulation, not just in-silico modeling.
• Analysis includes multiple network stability metrics: nestedness, modularity, centrality, and a stochastic robustness index.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

University of Milano-Bicocca

Collection Method

Experimental manipulation of real plant-pollinator networks.