Bee Bycatch Assemblages from Cotton Agroecosystems in Alabama, 2021-2022

Records of Hymenopteran species, primarily bees, captured as unintended bycatch in pan traps deployed in cotton fields across Alabama during the peak blooming periods of 2021 and 2022. The dataset includes sampling metadata, overall richness, and species-specific abundance counts across four bee families. It was created by Anthony Abbate and is associated with a published research article.

Use Cases

• Assess native bee diversity and abundance based on species-specific counts mentioned in the description.
• Study pollinator assemblages in cotton agroecosystems based on sampling metadata like county and year.
• Analyze bycatch data for insights into non-target insect monitoring based on the collection method described.

Strengths

• Data is associated with a peer-reviewed publication (DOI: 10.1093/ee/nvag037).
• Includes sampling metadata for two years (2021 and 2022) across multiple collection sites in Alabama.
• Provides species-specific abundance counts for bee species across four families.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the specific study location and years.

Provenance

Source

figshare, author Anthony Abbate.

Collection Method

Collected as bycatch in colored pan traps originally deployed for cotton aphid monitoring.

Time Range

2021 and 2022 (peak cotton blooming periods).

Freshness

Last updated 2026-04-22 06:55:32; freshness should be verified.

Geography

Cotton fields across Alabama, USA.