Social and Behavioral Sciences Commons^™

Distance Models As A Tool For Modelling Detection Probability And Density Of Native Bumblebees, Darin J. Mcneil, Clint R. V. Otto, Erin L. Moser, Katherine R. Urban‐Mead, David E. King, Amanda D. Rodewald, Jeffery L. Larkin

USGS Northern Prairie Wildlife Research Center

Effective monitoring of native bee populations requires accurate estimates of population size and relative abundance among habitats. Current bee survey methods, such as netting or pan trapping, may be adequate for a variety of study objectives but are limited by a failure to account for imperfect detection. Biases due to imperfect detection could result in inaccurate abundance estimates or erroneous insights about the response of bees to different environments. To gauge the potential biases of currently employed survey methods, we compared abundance estimates of bumblebees (Bombus spp.) derived from hierarchical distance sampling models (HDS) to bumblebee counts collected from fixed‐area …