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Full-Text Articles in Social and Behavioral Sciences

Hampton Roads Residents’ Preferences For Dune And Beach Management, Seth Parker, Donta Council, Makayla Brown Feb 2018

Hampton Roads Residents’ Preferences For Dune And Beach Management, Seth Parker, Donta Council, Makayla Brown

School of Public Service Faculty Publications

The management of dunes and beaches in Hampton Roads is critical to the region’s tourism industry and to provide protection from storms and flooding. During the summer of 2017, we surveyed over 675 residents of Hampton Roads to gauge their preferences for the management of dunes and beaches. An overwhelming majority felt that all taxpayers should have a say in maintenance practices along with government regulations to assist with the protection of beaches and dunes. Residents leaned towards localized input from citizens as preferred methods of management and understood the importance their tax dollars play in funding those methods. While …


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 Jan 2018

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 …