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Open datasets wanted for tracking the insect decline: let's start from saproxylic beetles.

Alessandro Campanaro1, Francesco Parisi2

  • 1Research Centre for Plant Protection and Certification, Council for Agricultural Research and Economics, Firenze, Italy Research Centre for Plant Protection and Certification, Council for Agricultural Research and Economics Firenze Italy.

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Summary

Six datasets reveal distinct saproxylic beetle communities in Italian forests. This research highlights insect biodiversity and promotes open data for long-term ecological monitoring.

Keywords:
Zenodo repositorybiodiversity crisisdatasetsforest ecosystemsinsect communities

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Area of Science:

  • Ecology
  • Entomology
  • Biodiversity Science

Background:

  • Saproxylic beetles are key indicators of forest ecosystem health and modifications over time.
  • Six datasets of these beetles were collected from 2012-2018 in Central and Southern Italian forests.
  • The data, comprising annotated checklists, are publicly available in the Zenodo repository.

Purpose of the Study:

  • To document saproxylic beetle diversity across different Italian forest regions.
  • To provide foundational data for understanding forest ecosystem changes.
  • To encourage open data practices for ecological research.

Main Methods:

  • Field collection of saproxylic beetles between 2012 and 2018.
  • Compilation of annotated checklists detailing species presence.
  • Publication of datasets in the open-access Zenodo repository.

Main Results:

  • A total of 1,171 records were published, representing 918 distinct taxa.
  • A high degree of exclusivity was observed, with 80.2% of taxa unique to their collection areas.
  • Significant differences in beetle communities were identified across the studied regions.

Conclusions:

  • Italian forest beetle communities exhibit substantial spatial variation.
  • Open data repositories are crucial for tracking insect biodiversity and distribution.
  • Further research involving repeated assessments is recommended to monitor insect community trends over time.