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

被引:10
作者
Kammerer, Melanie [1 ,2 ]
Tooker, John F. [1 ,2 ]
Grozinger, Christina M. [1 ,2 ]
机构
[1] Penn State Univ, Intercoll Grad Degree Program Ecol, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Entomol, Huck Inst Life Sci, Ctr Pollinator Res, University Pk, PA 16802 USA
关键词
CITIZEN SCIENCE; PAN TRAP; POLLINATORS; SCALE;
D O I
10.1038/s41597-020-00577-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:8
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