A workflow to gather, clean, and standardize species occurrence records at scale for conservation applications

An R workflow standardizes and cleans large-scale species occurrence records, processing 145,870 Texas native bee records in about an hour while enabling conservation-ready outputs.

• Why it matters: Conservation planning increasingly depends on digital occurrence data, but existing tools are not sufficiently user-friendly, flexible, transparent, or scalable—especially for speciose groups with uneven natural-history knowledge.
• What they did: The workflow aggregates records from multiple sources, applies cleaning and standardization (including duplicate removal), supports filtering across many species, and can generate inputs for conservation-status assessment.
• The result: Using the vetted dataset, case studies compiled a Denton County species list, described bumble-bee phenology in the Dallas-Fort Worth Metroplex, and assessed conservation status for Bombus pensylvanicus.

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