Floral Cover and Insect Interaction Data from Invaded Meadows

Drone-based deep learning measured floral cover across nine sites in Toronto's Rouge National Urban Park during summer 2021. The data, collected by researcher Nicholas Sookhan, links floral density to pollination services and herbivory on native Symphyotrichum novae-angliae plants. It comprises three CSV files detailing site-level floral resources, pollinator visitor rates, and insect community matrices.

Use Cases

• Modeling pollinator visitor rate based on relative.cover_SOSP and site_id to assess invasion impact.
• Analyzing plant reproductive output against herbivory data from the pollination_service.csv file.
• Correlating insect community composition from comm_data_matrix.csv with floral resource availability.
• Testing density-dependent pollination hypotheses using floral cover percentages and pollination service metrics.

Strengths

• Data from nine distinct field sites provides spatial replication.
• Links drone-derived floral cover metrics with ground-truthed pollination and herbivory observations.
• Openly licensed under CC-BY-4.0 for reuse.

Limitations

• Tiny dataset at 6.7 KB, indicating limited sample size and scope.
• Temporal coverage is restricted to a single season (summer/fall 2021).
• Geographic coverage is limited to one urban park in Toronto, Canada.

Provenance

Source

Nicholas Sookhan via figshare.

Collection Method

Field observations combined with drone imagery analyzed via deep learning.

Time Range

Summer and early-fall 2021.

Freshness

null

Geography

Rouge National Urban Park, Greater Toronto Area, Ontario, Canada.