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.
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.
Bewick, S, BJ Brosi, and PR Armsworth.
Competition causes secondary extinctions in plant-pollinator networks.
, 2013. 122: 1710–1719
Most models of mutualistic networks assume that mutualisms across groups are the only interactions occurring. Here, we show that integrating plant-plant competition in pollination-network models decreases network robustness to secondary extinctions.
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.
Briggs HM, Ayers CA, Armsworth PR, Brosi BJ.
Not all interactions are positive: testing how antagonistic interactions impact the robustness of plant-pollinator networks.
Journal of Pollination Ecology, In Press