• publications

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.

Brosi, BJ, Niezgoda K, Briggs HM. Experimental species removals impact the architecture of pollination networks. Biology Letters, 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.

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.

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 for pollinators. Science, 2016. 354, 975–976.
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. Genome, 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.

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. Ecology Letters, 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.

B.J. Brosi. Pollinator Specialization: from the Individual to the Community. New Phytologist, 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.

Brosi BJ, Briggs HM (2013). Single pollinator species losses reduce floral fidelity and plant reproductive function. PNAS, 110(32): 13044-13048

Most biodiversity-functioning relationships predict relatively rapid saturation of functioning with diversity. In this work we showed that removing even a single species can have negative functional consequences, driven by behavioral plasticity in the remaining species.

Brosi BJ, Biber, EGN (2012). Citizen Involvement in the U.S. Endangered Species Act. Science, 37(6096): 802-803