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. 2020 Jul 20;7(1):240.
doi: 10.1038/s41597-020-00577-0.

A long-term dataset on wild bee abundance in Mid-Atlantic United States

Melanie Kammerer  1   2 , John F Tooker  3   4 , Christina M Grozinger  3   4
Affiliations

A long-term dataset on wild bee abundance in Mid-Atlantic United States

Melanie Kammerer et al. Sci Data. .

Abstract

With documented global declines in insects, including wild bees, there has been increasing interest in developing and expanding insect monitoring programs. Our objective here was to organize, validate, and share an analysis-ready version of one of the few existing long-term monitoring datasets for wild bees in the United States. Since 1999, the Native Bee Inventory and Monitoring Lab (BIML) of the United States Geological Survey has sampled wild-bee communities in the Mid-Atlantic U.S., but samples were collected in multiple studies and the datasets are not fully integrated. Furthermore, critical information about sampling methodology was often lacking, though these factors can significantly influence collection outcomes and must be considered in analyses. We cleaned and verified BIML data from Maryland, Delaware, and Washington DC, USA, and generated sampling methodology for over 84% of the 99,053 pan-trapped occurrences in this region. We enthusiastically invite creative analyses of this rich dataset to advance understanding of the biology and ecology of wild bees, inform conservation efforts, and perhaps help design a nationwide bee monitoring program.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Abundance per day per trap of wild bees at locations surveyed between 2002 and 2016 by the United States Geological Survey Native Bee Inventory and Monitoring Lab (USGS BIML).
Fig. 2
Fig. 2
Color of wild bee traps used by USGS BIML from 2002–2016.
Fig. 3
Fig. 3
Volume of wild bee traps used by USGS BIML from 2002–2016.
See this image and copyright information in PMC

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