"We analyzed time-series abundance data collected at 18 sites around the Rocky Mountain Biological Laboratory (RMBL) in the Elk Mountains of western Colorado during a nine-year, National Science Foundation-funded bee monitoring project," says Stemkovski, doctoral student in USU's Department of Biology and the USU Ecology Center.

He and Irwin, senior author, along with colleagues from RMBL, University of Texas at Austin, Imperial College London, University of Manitoba, USDA-ARS Pollinating Insects Research Unit at USU, Central Texas Melittological Institute, Royal Saskatchewan Museum, Texas A&M University, Florida State University and University of Maryland, published findings in the August 19, 2020 issue of Ecology Letters.

"We find bee emergence timing is advancing with snowmelt timing, but bee phenology -- timing of emergence, peak abundance and senescence -- is less sensitive than flower phenology," says Irwin, professor of applied ecology at NCSU. "Given global concerns about pollinator declines, the research provides important insight into the potential for reduced synchrony between flowers and their pollinators under climate change."

Previous studies focused primarily on temperature, Stemkovski says, but this study probed the effects of topography and bee species traits, as well.

"Elevation played a large role in when bees start foraging, as well as the bees' functional traits, such as whether bees nested below or above ground, and the life stage in which they overwintered," he says. "We found all of these factors predicted bee emergence, but the most important factor was snowmelt timing."

If bees begin foraging later than spring plants reach their flowering peak, consequences could be reduced abundance of pollinators, from limited sustenance, and reduced abundance of plants, from limited pollination.

"In the short-term, we expect mutualist species to suffer fitness losses," Stemkovski says. "In the long-term, bees and plants may be able to adapt and reestablish some synchrony, unless climate change outpaces the rate of adaptation."

Story Source:

Materials provided by Utah State University. Original written by Mary-Ann Muffoletto. Note: Content may be edited for style and length.

Journal Reference:

1. Michael Stemkovski, William D. Pearse, Sean R. Griffin, Gabriella L. Pardee, Jason Gibbs, Terry Griswold, John L. Neff, Ryan Oram, Molly G. Rightmyer, Cory S. Sheffield, Karen Wright, Brian D. Inouye, David W. Inouye, Rebecca E. Irwin. Bee phenology is predicted by climatic variation and functional traits. Ecology Letters, 2020 DOI: 10.1111/ele.13538