Assessing road traffic and roadside mowing levels on pollinator habitat quality in highway roadsides


SOCIETY FOR INTEGRATIVE AND COMPARATIVE BIOLOGY
2021 VIRTUAL ANNUAL MEETING (VAM)
January 3 – Febuary 28, 2021

Meeting Abstract


P23-2  Sat Jan 2  Assessing road traffic and roadside mowing levels on pollinator habitat quality in highway roadsides Schoenfeldt, A*; Stack Whitney, K; Rochester Institute of Technology, Rochester, NY; Rochester Institute of Technology, Rochester, NY axs9530@rit.edu

Roadside rights of way (ROWs), the grassy areas that are parallel to roads, are potential habitats for pollinating insect conservation efforts as more natural habitats are lost. However, roadside ROWs are also highly disturbed areas, due to the effects of on-road traffic and roadside management practices, like mowing. Reduced mowing may result in more quality habitat through increased floral presence for habitat and foraging. Yet previous research on mowing, pollinators, and traffic has been limited in scope. Our objective was to examine if changes in road traffic and roadside mowing are associated with changes in pollinating insect habitat quality in highway roadsides at the landscape scale, large range of traffic volume, and across multiple years. We measured pollinating insect habitat quality in 30 highway ROWs across New York State in 2019 and 2020. The sites were categorized into either reduced or control mowing treatments as well as into low, medium, and high traffic levels. Control mowing areas received the current mowing schedule, and reduced mowing areas were not mowed in 2019 and were mowed in 2020 only after a plant-killing frost. We used the most recent annualized average traffic data to categorize sites as low (0-4000 cars per day), medium (4001-10000), or high (10001-55000) traffic. We had a total of 176 sampling locations across all treatments. At each, we counted wild bee and honey bee abundance on flowers across a 100 foot by 3 foot transect, repeated twice each year. We assessed the association of traffic level and mowing frequency with bee abundance using linear mixed-effects models. Our results will inform ROW management practices and roadside pollinator conservation initiatives.

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