Author:
Insolia Luca,Molinari Roberto,Rogers Stephanie R.,Williams Geoffrey R.,Chiaromonte Francesca,Calovi Martina
Abstract
AbstractHoney bee (Apis mellifera) colony loss is a widespread phenomenon with important economic and biological implications, whose drivers are still an open matter of investigation. We contribute to this line of research through a large-scale, multi-variable study combining multiple publicly accessible data sources. Specifically, we analyzed quarterly data covering the contiguous United States for the years 2015-2021, and combined open data on honey bee colony status and stressors, weather data, and land use. The different spatio-temporal resolutions of these data are addressed through an up-scaling approach that generates additional statistical features which capture more complex distributional characteristics and significantly improve modeling performance. Treating this expanded feature set with state-of-the-art feature selection methods, we obtained findings that, nation-wide, are in line with the current knowledge on the aggravating roles of Varroa destructor and pesticides in colony loss. Moreover, we found that extreme temperature and precipitation events, even when controlling for other factors, significantly impact colony loss. Overall, our results reveal the complexity of biotic and abiotic factors affecting managed honey bee colonies across the United States.
Funder
National Science Foundation
U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences
United States Department of Agriculture | National Institute of Food and Agriculture
United States Department of Agriculture | Agricultural Research Service
NTNU Norwegian University of Science and Technology
Publisher
Springer Science and Business Media LLC
Cited by
41 articles.
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