Dicks LV, Viana B, Bommarco R, Brosi BJ, del Coro Arizmendi M, Cunningham SA, Galetto L, Hill R, Lopes AR, Pires C, Taki H, Cooper D, Potts SG.
Ten policies to protect pollinators.
Science, 2016. 354, 975–976.
Bell KL, Fowler J, Burgess KS, Dobbs EK, Gruenewald D, Lawley B, Morozumi C, Brosi BJ.
Applying pollen DNA metabarcoding to the study of plant-pollinator interactions
Applications in Plant Sciences
, 2017. 5(6): 1600124
This work shows the integration between our DNA metabarcoding work and our network studies—demonstrating for the first time that highly-resolved pollination networks can be constructed by metabarcoding pollen carried by flower visitors. We highlight a number of suggestions for using this technique for network studies.
Brosi, BJ, Niezgoda K, Briggs HM..
Experimental species removals impact the architecture of pollination networks
, 13: 20170243
Most network simulation studies exploring the consequences of species losses assume that network structure stays fixed after species losses. In these replicated field experiments we show that network structure is altered, in ways that can be predicted from basic ecological theory.
Dynes, T.L., J.C. De Roode, J.I. Lyons, J.A. Berry, K.S. Delaplane, B.J. Brosi.
Fine scale population genetic structure of Varroa destructor, an ectoparasitic mite of the honey bee (Apis mellifera)
, 2017. 48(1): 93-101
This is the first work to use population genetic approaches to understand patterns of gene flow and potentially transmission in Varroa mites, the single largest cause of honey bee colony loss worldwide.
Brosi BJ, Delaplane KS, Boots M, De Roode JC.
Ecological and evolutionary approaches to managing honey bee disease.
Nature Ecology and Evolution
, 2017. 1, 1250–1262
This review lays out why we need to incorporate ecological and evolutionary considerations into the management of honey bee disease, including developing the idea that current management techniques may actually be selecting for more-virulent parasites and pathogens.
Strauss SH, Jones KN, Lu H, Petit JH, Klocko AH, Brosi BJ, Betts MG, Needham MD, Fletcher RJ.
Impacts of Flowering Modification on Biodiversity in Forest Plantations.
New Phytologist, 2017. 213: 1000–1021
Bell, K.L., K.S. Burgess, N. De Vere, A. Gousse, A. Keller, R. Richardson, B.J. Brosi.
DNA metabarcoding of pollen: progress and prospects
, 2016. 59(9): 629-640
This review lays out the current status of pollen metabarcoding, including its promise as a technique, its limitations, and key areas for future research.
Pollinator Specialization: from the Individual to the Community
, 2016. 210: 1190–1194. DOI: 10.1111/nph.13951
This review lays out why foraging choices in pollinators, at multiple scales, can drive important system properties including diversity-functioning relationships.
Valdovinos, F.S., B.J. Brosi, H.M. Briggs, P. Moisset de Espanés, R. Ramos-Jiliberto, N.D. Martinez..
Adaptive foraging interacts with network structure to stabilize mutualistic networks
, 2016. 19: 1277–1286.
This paper integrates modeling and our field data from Colorado, and shows that “adaptive foraging”—behavioral plasticity in foraging intensity on different resources—is key for stabilizing pollination networks, but has different effects in networks with different structures.
Ayers, C.A., P.R. Armsworth, B.J. Brosi.
Determinism as a statistical metric for trapline foraging and other recurrent behaviors
Behavioral Ecology and Sociobiology
, 2015. 69:1395–1404
Trapline foraging is a key behavioral tactic used by pollinators and many other groups of animals. This work develops a new method for measuring traplining—which has been notoriously challenging to quantify—borrowing quantitative tools from statistical physics.