Curated global occurrence dataset of the insect order Zoraptera

Area of Science:

• Entomology
• Zoology
• Biodiversity Informatics

Background:

• Zoraptera, a small insect order with 47 species, is primarily found in tropical regions.
• Existing distribution data for Zoraptera is fragmented across diverse and often inaccessible literature.
• Recent taxonomic revisions and new species discoveries have further complicated understanding of Zoraptera distribution.

Purpose of the Study:

• To consolidate and update the global distribution knowledge of the insect order Zoraptera.
• To create a comprehensive and accessible data resource for Zoraptera occurrence records.

Main Methods:

• Compilation of an occurrence dataset for all described Zoraptera species.
• Inclusion of up-to-date distribution information aligned with the latest taxonomic classification.
• Regular curation and updating of the dataset with new literature records and revised data from iNaturalist and GBIF.

Main Results:

• Establishment of the Zoraptera Occurrence Dataset, a centralized repository of distribution data.
• The dataset provides a clear overview of Zoraptera distribution based on current taxonomy.
• Ongoing updates ensure the dataset reflects the latest discoveries and taxonomic changes.

Conclusions:

• The Zoraptera Occurrence Dataset significantly enhances the accessibility and clarity of Zoraptera distribution information.
• This resource is crucial for future research on the ecology, evolution, and conservation of Zoraptera.
• The project highlights the importance of data aggregation and curation for poorly understood taxa.