Completeness analysis for over 3000 United States bee species identifies persistent data gap

Author:

Chesshire Paige R.1ORCID,Fischer Erica E.2ORCID,Dowdy Nicolas J.3ORCID,Griswold Terry L.4ORCID,Hughes Alice C.5ORCID,Orr Michael C.67ORCID,Ascher John S.8ORCID,Guzman Laura M.9ORCID,Hung Keng‐Lou James10ORCID,Cobb Neil S.11ORCID,McCabe Lindsie M.4ORCID

Affiliation:

1. Dept of Biological Sciences, Northern Arizona Univ. Flagstaff AZ USA

2. Centre for the History of Science, Technology and Medicine, King's College London London UK

3. Dept of Zoology, Milwaukee Public Museum Milwaukee WI USA

4. United States Dept of Agriculture, Agriculture Research Service (USDA‐ARS) Logan UT USA

5. School of Biological Sciences, Univ. of Hong Kong Hong Kong Hong Kong

6. Key Laboratory of Zoological Systematics and Evolution, Inst. of Zoology, Chinese Academy of Sciences Beijing China

7. Entomologie, Staatliches Museum für Naturkunde Stuttgart Stuttgart Germany

8. Dept of Biological Sciences, National Univ. of Singapore Singapore Singapore

9. Marine and Environmental Section, Dept of Biological Sciences, Univ. of Southern California Los Angeles CA USA

10. Oklahoma Biological Survey, Univ. of Oklahoma Norman OK USA

11. Biodiversity Outreach Network Mesa AZ USA

Abstract

Native bee species in the United States provide invaluable pollination services. Concerns about native bee declines are growing, and there are calls for a national monitoring program. Documenting species ranges at ecologically meaningful scales through coverage completeness analysis is a fundamental step to track bees from species to communities. It may take decades before all existing bee specimens are digitized, so projections are needed now to focus future research and management efforts. From 1.923 million records, we created range maps for nearly 88% (3158 species) of bee species in the contiguous United States, provided the first analysis of inventory completeness for digitized specimens of a major insect clade, and perhaps most important, estimated spatial completeness accounting for all known bee specimens in USA collections, including undigitized bee specimens. Completeness analyses were very low (3–37%) across four examined spatial resolutions when using the currently available bee specimen records. Adding a subset of observations from community science data sources did not significantly increase completeness, and adding a projected 4.7 million undigitized specimens increased completeness by only an additional 12–13%. Assessments of data, including projected specimen records, indicate persistent taxonomic and geographic deficiencies. In conjunction with expedited digitization, new inventories that integrate community science data with specimen‐based documentation will be required to close these gaps. A combined effort involving both strategic inventories and accelerated digitization campaigns is needed for a more complete understanding of USA bee distributions.

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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